CRAN Package Check Results for Package DataQualityDashboard

Last updated on 2026-05-13 09:51:44 CEST.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	2.8.7	9.07	409.44	418.51	OK
r-devel-linux-x86_64-debian-gcc	2.8.7	6.36	269.92	276.28	ERROR
r-devel-linux-x86_64-fedora-clang	2.8.7	16.00	649.30	665.30	OK
r-devel-linux-x86_64-fedora-gcc	2.8.7	15.00	682.04	697.04	OK
r-devel-windows-x86_64	2.8.7	13.00	420.00	433.00	OK
r-patched-linux-x86_64	2.8.7	8.01	393.77	401.78	OK
r-release-linux-x86_64	2.8.7	8.81	394.57	403.38	OK
r-release-macos-arm64	2.8.7	2.00	121.00	123.00	OK
r-release-macos-x86_64	2.8.7	7.00	495.00	502.00	OK
r-release-windows-x86_64	2.8.7	13.00	412.00	425.00	OK
r-oldrel-macos-arm64	2.8.7	2.00	123.00	125.00	OK
r-oldrel-macos-x86_64	2.8.7	6.00	363.00	369.00	OK
r-oldrel-windows-x86_64	2.8.7	14.00	574.00	588.00	OK

Check Details

Version: 2.8.7
Check: tests
Result: ERROR Running ‘testthat.R’ [213s/273s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(DataQualityDashboard) Loading required package: DatabaseConnector > > test_check("DataQualityDashboard") Consider adding `DATABASECONNECTOR_JAR_FOLDER='/tmp/RtmpPA9syW/jdbcDrivers251ec818d594ab'` to /home/hornik/.Renviron and restarting R. trying URL 'https://jdbc.postgresql.org/download/postgresql-42.7.3.jar' Content type 'application/java-archive' length 1089312 bytes (1.0 MB) ================================================== downloaded 1.0 MB DatabaseConnector postgresql JDBC driver downloaded to '/tmp/RtmpPA9syW/jdbcDrivers251ec818d594ab'. Consider adding `DATABASECONNECTOR_JAR_FOLDER='/tmp/RtmpPA9syW/jdbcDrivers251ec818d594ab'` to /home/hornik/.Renviron and restarting R. trying URL 'https://ohdsi.github.io/DatabaseConnectorJars/sqlServerV9.2.0.zip' Content type 'application/x-zip-compressed' length 1262814 bytes (1.2 MB) ================================================== downloaded 1.2 MB DatabaseConnector sql server JDBC driver downloaded to '/tmp/RtmpPA9syW/jdbcDrivers251ec818d594ab'. Consider adding `DATABASECONNECTOR_JAR_FOLDER='/tmp/RtmpPA9syW/jdbcDrivers251ec818d594ab'` to /home/hornik/.Renviron and restarting R. trying URL 'https://ohdsi.github.io/DatabaseConnectorJars/oracleV19.8.zip' Content type 'application/x-zip-compressed' length 4101479 bytes (3.9 MB) ================================================== downloaded 3.9 MB DatabaseConnector oracle JDBC driver downloaded to '/tmp/RtmpPA9syW/jdbcDrivers251ec818d594ab'. Consider adding `DATABASECONNECTOR_JAR_FOLDER='/tmp/RtmpPA9syW/jdbcDrivers251ec818d594ab'` to /home/hornik/.Renviron and restarting R. trying URL 'https://s3.amazonaws.com/redshift-downloads/drivers/jdbc/2.1.0.20/redshift-jdbc42-2.1.0.20.zip' Content type 'application/zip' length 8434563 bytes (8.0 MB) ================================================== downloaded 8.0 MB DatabaseConnector redshift JDBC driver downloaded to '/tmp/RtmpPA9syW/jdbcDrivers251ec818d594ab'. attempting to download GiBleed trying URL 'https://raw.githubusercontent.com/OHDSI/EunomiaDatasets/main/datasets/GiBleed/GiBleed_5.3.zip' Content type 'application/zip' length 6861852 bytes (6.5 MB) ================================================== downloaded 6.5 MB attempting to extract and load: /tmp/RtmpPA9syW/GiBleed_5.3.zip to: /tmp/RtmpPA9syW/GiBleed_5.3.sqlite Connecting using SQLite driver Executing SQL took 0.0104 secs Connecting using SQLite driver Currently in a tryCatch or withCallingHandlers block, so unable to add global calling handlers. ParallelLogger will not capture R messages, errors, and warnings, only explicit calls to ParallelLogger. (This message will not be shown again this R session) -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: COST, CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: cdmTable Processing check description: cdmField Processing check description: measureValueCompleteness Writing results to file: /tmp/RtmpPA9syW/dqd_251ec8132d5600/synthea-20260512144817.json Execution Complete Connecting using SQLite driver Executing SQL took 0.0727 secs Executing SQL took 0.00735 secs Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: COST, CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: cdmTable Processing check description: measureConditionEraCompleteness Processing check description: cdmField Processing check description: measureValueCompleteness Writing results to file: /tmp/RtmpPA9syW/dqd_251ec82e0f7574/synthea-20260512144844.json Execution Complete Executing SQL took 0.0595 secs Executing SQL took 0.00673 secs Connecting using SQLite driver Executing SQL took 0.0249 secs Executing SQL took 0.006 secs Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: COST, CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: cdmTable Processing check description: measureConditionEraCompleteness Processing check description: cdmField Processing check description: measureValueCompleteness Writing results to file: /tmp/RtmpPA9syW/dqd_251ec81b80ddec/synthea-20260512144912.json Execution Complete Executing SQL took 0.0242 secs Executing SQL took 0.00576 secs Connecting using SQLite driver Executing SQL took 0.00555 secs Executing SQL took 0.00376 secs Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: COST, CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: cdmTable Processing check description: measurePersonCompleteness Processing check description: cdmField Processing check description: measureValueCompleteness Writing results to file: /tmp/RtmpPA9syW/dqd_251ec850da2e6/synthea-20260512144942.json Execution Complete Executing SQL took 0.00989 secs Executing SQL took 0.00836 secs Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measurePersonCompleteness Writing results to file: /tmp/RtmpPA9syW/dqd_251ec84d1ce485/foo.json Execution Complete Writing results to file: /tmp/RtmpPA9syW/dqd_251ec84d1ce485/snake.json Writing results to file: /tmp/RtmpPA9syW/dqd_251ec84d1ce485/snake_camel.json Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measurePersonCompleteness Writing results to file: /tmp/RtmpPA9syW/dqd_251ec862652755/synthea-20260512144945.json Execution Complete Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: cdmTable Processing check description: measurePersonCompleteness Processing check description: measureConditionEraCompleteness Processing check description: measureObservationPeriodOverlap Writing results to file: /tmp/RtmpPA9syW/dqd_251ec8107c86ab/synthea-20260512144948.json Execution Complete Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: cdmField Processing check description: isRequired Processing check description: cdmDatatype Processing check description: isPrimaryKey Processing check description: isForeignKey Processing check description: fkDomain Processing check description: fkClass Processing check description: isStandardValidConcept Processing check description: measureValueCompleteness Processing check description: standardConceptRecordCompleteness Processing check description: sourceConceptRecordCompleteness Processing check description: sourceValueCompleteness Processing check description: plausibleValueLow Processing check description: plausibleValueHigh Processing check description: plausibleTemporalAfter Processing check description: plausibleDuringLife Processing check description: withinVisitDates Processing check description: plausibleAfterBirth Processing check description: plausibleBeforeDeath Processing check description: plausibleStartBeforeEnd Writing results to file: /tmp/RtmpPA9syW/dqd_251ec83ebf7017/synthea-20260512145110.json Execution Complete Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: plausibleGender [Level: CONCEPT] [Check: plausibleGender] [CDM Table: CONDITION_OCCURRENCE] [CDM Field: CONDITION_CONCEPT_ID] Error executing SQL: near ",": syntax error An error report has been created at /tmp/RtmpPA9syW/dqd_251ec822e8f355/errors/CONCEPT_plausibleGender_CONDITION_OCCURRENCE_CONDITION_CONCEPT_ID.txt Processing check description: plausibleUnitConceptIds Writing results to file: /tmp/RtmpPA9syW/dqd_251ec822e8f355/synthea-20260512145111.json Execution Complete Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measureObservationPeriodOverlap Writing results to file: /tmp/RtmpPA9syW/dqd_251ec8587aa2a5/synthea-20260512145111.json Execution Complete Connecting using SQLite driver | | | 0% | |======================================================================| 100% Executing SQL took 0.00479 secs Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measureObservationPeriodOverlap Writing results to file: /tmp/RtmpPA9syW/dqd_251ec8587aa2a5/synthea-20260512145111.json Execution Complete | | | 0% | |======================================================================| 100% Executing SQL took 0.00441 secs | | | 0% | |======================================================================| 100% Executing SQL took 0.00431 secs Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measureObservationPeriodOverlap Writing results to file: /tmp/RtmpPA9syW/dqd_251ec8587aa2a5/synthea-20260512145111.json Execution Complete | | | 0% | |======================================================================| 100% Executing SQL took 0.0047 secs Connecting using SQLite driver | | | 0% | |======================================================================| 100% Executing SQL took 0.00451 secs Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measurePersonCompleteness Writing results to file: /tmp/RtmpPA9syW/dqd_251ec860ad162c/synthea-20260512145112.json Execution Complete | | | 0% | |======================================================================| 100% Executing SQL took 0.00422 secs [1] "Processing database type: oracle" [1] "No connection details found for oracle, skipping..." [1] "Processing database type: postgresql" [1] "No connection details found for postgresql, skipping..." [1] "Processing database type: sql server" [1] "No connection details found for sql server, skipping..." [1] "Processing database type: redshift" [1] "No connection details found for redshift, skipping..." [1] "Processing database type: iris" [1] "No connection details found for iris, skipping..." [1] "Processing database type: snowflake" [1] "No connection details found for snowflake, skipping..." [1] "Processing database type: spark" [1] "No connection details found for spark, skipping..." [1] "Processing database type: bigquery" [1] "No connection details found for bigquery, skipping..." Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measurePersonCompleteness Writing results to file: /tmp/RtmpPA9syW/dqd_251ec82fd82a03/synthea-20260512145114.json Execution Complete Connecting using SQLite driver Writing results to table main.dqd_results | | | 0% | |=================================== | 50% | |======================================================================| 100% Executing SQL took 0.0105 secs Inserting data took 0.0199 secs Finished writing table Connecting using SQLite driver | | | 0% | |======================================================================| 100% Executing SQL took 0.00431 secs -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measurePersonCompleteness -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measurePersonCompleteness -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measurePersonCompleteness -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measurePersonCompleteness Connecting using SQLite driver Executing SQL took 0.0139 secs Executing SQL took 0.313 secs | | | 0% | |======================================================================| 100% Executing SQL took 0.00469 secs Connecting using SQLite driver | | | 0% | |======================================================================| 100% Executing SQL took 0.00673 secs Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measurePersonCompleteness Writing results to file: /tmp/RtmpPA9syW/dqd_251ec83463aa34/synthea-20260512145118.json Execution Complete Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measurePersonCompleteness Writing results to file: /tmp/RtmpPA9syW/dqd_251ec82f3feb4f/synthea-20260512145119.json Execution Complete Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: cdmTable Processing check description: measureObservationPeriodOverlap Processing check description: cdmField Processing check description: isRequired Processing check description: cdmDatatype Processing check description: isPrimaryKey Processing check description: isForeignKey Writing results to file: /tmp/RtmpPA9syW/dqd_251ec8dd0f07b/synthea-20260512145150.json Execution Complete Saving _problems/test-executeDqChecks-712.R -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) Connecting using SQLite driver Executing SQL took 0.00392 secs Executing SQL took 0.00412 secs Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: COST, CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: plausibleAfterBirth Writing results to file: /tmp/RtmpPA9syW/dqd_251ec87ab44cc7/synthea-20260512145157.json Execution Complete Available columns in CheckResults: [1] "numViolatedRows" "pctViolatedRows" "numDenominatorRows" [4] "executionTime" "queryText" "checkName" [7] "checkLevel" "checkDescription" "cdmTableName" [10] "cdmFieldName" "conceptId" "unitConceptId" [13] "sqlFile" "category" "subcategory" [16] "context" "warning" "error" [19] "checkId" "failed" "passed" [22] "isError" "notApplicable" "notApplicableReason" [25] "thresholdValue" "notesValue" All plausibleAfterBirth results: numViolatedRows pctViolatedRows numDenominatorRows executionTime 1.1 0 0 65719 0.340614 secs 1.2 0 0 65719 0.370045 secs 1.3 0 0 65332 0.428608 secs 1.4 0 0 65332 0.228075 secs 1.5 0 0 56680 0.252266 secs 1.6 0 0 56680 0.342712 secs 1.7 0 0 0 0.005625 secs 1.8 0 0 0 0.005903 secs 1.9 0 0 0 0.006715 secs 1.10 0 0 0 0.006487 secs 1.11 0 0 0 0.005684 secs 1.12 0 0 0 0.005814 secs 1.13 0 0 0 0.005629 secs 1.14 0 0 0 0.005807 secs 1.15 0 0 52508 0.183655 secs 1.16 0 0 52508 0.184800 secs 1.17 0 0 67707 0.240056 secs 1.18 0 0 67707 0.319092 secs 1.19 0 0 67707 0.282961 secs 1.20 0 0 67707 0.325170 secs 1.21 0 0 61944 0.270422 secs 1.22 0 0 44053 0.135290 secs 1.23 0 0 44053 0.204634 secs 1.24 0 0 0 0.005799 secs 1.25 0 0 0 0.005763 secs 1.26 0 0 1477 0.012933 secs 1.27 0 0 1477 0.029983 secs 1.28 0 0 5343 0.033309 secs 1.29 0 0 5343 0.037473 secs 1.30 0 0 0 0.005556 secs 1.31 0 0 0 0.005458 secs 1.32 0 0 37409 0.143518 secs 1.33 0 0 37409 0.258785 secs 1.34 0 0 0 0.009338 secs 1.35 0 0 0 0.005795 secs 1.36 0 0 0 0.005484 secs 1.37 0 0 0 0.010274 secs 1.38 0 0 0 0.006161 secs 1.39 0 0 0 0.005602 secs 1.40 0 0 1 0.007102 secs 1.41 0 0 1 0.007559 secs 1.42 0 0 1 0.007696 secs 1.43 0 0 1 0.032277 secs queryText 1.1 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = CONDITION_ERA\ncdmFieldName = CONDITION_ERA_START_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'CONDITION_ERA.CONDITION_ERA_START_DATE' AS violating_field, \n cdmTable.*\n FROM main.CONDITION_ERA cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.CONDITION_ERA_START_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.CONDITION_ERA_START_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.CONDITION_ERA_START_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.CONDITION_ERA_START_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.CONDITION_ERA cdmTable\n WHERE cdmTable.CONDITION_ERA_START_DATE IS NOT NULL\n) denominator\n;\n 1.2 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = CONDITION_ERA\ncdmFieldName = CONDITION_ERA_END_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'CONDITION_ERA.CONDITION_ERA_END_DATE' AS violating_field, \n cdmTable.*\n FROM main.CONDITION_ERA cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.CONDITION_ERA_END_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.CONDITION_ERA_END_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.CONDITION_ERA_END_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.CONDITION_ERA_END_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.CONDITION_ERA cdmTable\n WHERE cdmTable.CONDITION_ERA_END_DATE IS NOT NULL\n) denominator\n;\n 1.3 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = CONDITION_OCCURRENCE\ncdmFieldName = CONDITION_START_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'CONDITION_OCCURRENCE.CONDITION_START_DATE' AS violating_field, \n cdmTable.*\n FROM main.CONDITION_OCCURRENCE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.CONDITION_START_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.CONDITION_START_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.CONDITION_START_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.CONDITION_START_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.CONDITION_OCCURRENCE cdmTable\n WHERE cdmTable.CONDITION_START_DATE IS NOT NULL\n) denominator\n;\n 1.4 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = CONDITION_OCCURRENCE\ncdmFieldName = CONDITION_START_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'CONDITION_OCCURRENCE.CONDITION_START_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.CONDITION_OCCURRENCE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.CONDITION_START_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.CONDITION_START_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.CONDITION_START_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.CONDITION_START_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.CONDITION_OCCURRENCE cdmTable\n WHERE cdmTable.CONDITION_START_DATETIME IS NOT NULL\n) denominator\n;\n 1.5 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = CONDITION_OCCURRENCE\ncdmFieldName = CONDITION_END_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'CONDITION_OCCURRENCE.CONDITION_END_DATE' AS violating_field, \n cdmTable.*\n FROM main.CONDITION_OCCURRENCE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.CONDITION_END_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.CONDITION_END_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.CONDITION_END_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.CONDITION_END_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.CONDITION_OCCURRENCE cdmTable\n WHERE cdmTable.CONDITION_END_DATE IS NOT NULL\n) denominator\n;\n 1.6 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = CONDITION_OCCURRENCE\ncdmFieldName = CONDITION_END_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'CONDITION_OCCURRENCE.CONDITION_END_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.CONDITION_OCCURRENCE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.CONDITION_END_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.CONDITION_END_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.CONDITION_END_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.CONDITION_END_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.CONDITION_OCCURRENCE cdmTable\n WHERE cdmTable.CONDITION_END_DATETIME IS NOT NULL\n) denominator\n;\n 1.7 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = DEATH\ncdmFieldName = DEATH_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'DEATH.DEATH_DATE' AS violating_field, \n cdmTable.*\n FROM main.DEATH cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.DEATH_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.DEATH_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.DEATH_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.DEATH_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.DEATH cdmTable\n WHERE cdmTable.DEATH_DATE IS NOT NULL\n) denominator\n;\n 1.8 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = DEATH\ncdmFieldName = DEATH_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'DEATH.DEATH_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.DEATH cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.DEATH_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.DEATH_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.DEATH_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.DEATH_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.DEATH cdmTable\n WHERE cdmTable.DEATH_DATETIME IS NOT NULL\n) denominator\n;\n 1.9 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = DEVICE_EXPOSURE\ncdmFieldName = DEVICE_EXPOSURE_START_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'DEVICE_EXPOSURE.DEVICE_EXPOSURE_START_DATE' AS violating_field, \n cdmTable.*\n FROM main.DEVICE_EXPOSURE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.DEVICE_EXPOSURE_START_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.DEVICE_EXPOSURE_START_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.DEVICE_EXPOSURE_START_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.DEVICE_EXPOSURE_START_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.DEVICE_EXPOSURE cdmTable\n WHERE cdmTable.DEVICE_EXPOSURE_START_DATE IS NOT NULL\n) denominator\n;\n 1.10 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = DEVICE_EXPOSURE\ncdmFieldName = DEVICE_EXPOSURE_START_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'DEVICE_EXPOSURE.DEVICE_EXPOSURE_START_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.DEVICE_EXPOSURE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.DEVICE_EXPOSURE_START_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.DEVICE_EXPOSURE_START_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.DEVICE_EXPOSURE_START_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.DEVICE_EXPOSURE_START_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.DEVICE_EXPOSURE cdmTable\n WHERE cdmTable.DEVICE_EXPOSURE_START_DATETIME IS NOT NULL\n) denominator\n;\n 1.11 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = DEVICE_EXPOSURE\ncdmFieldName = DEVICE_EXPOSURE_END_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'DEVICE_EXPOSURE.DEVICE_EXPOSURE_END_DATE' AS violating_field, \n cdmTable.*\n FROM main.DEVICE_EXPOSURE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.DEVICE_EXPOSURE_END_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.DEVICE_EXPOSURE_END_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.DEVICE_EXPOSURE_END_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.DEVICE_EXPOSURE_END_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.DEVICE_EXPOSURE cdmTable\n WHERE cdmTable.DEVICE_EXPOSURE_END_DATE IS NOT NULL\n) denominator\n;\n 1.12 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = DEVICE_EXPOSURE\ncdmFieldName = DEVICE_EXPOSURE_END_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'DEVICE_EXPOSURE.DEVICE_EXPOSURE_END_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.DEVICE_EXPOSURE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.DEVICE_EXPOSURE_END_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.DEVICE_EXPOSURE_END_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.DEVICE_EXPOSURE_END_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.DEVICE_EXPOSURE_END_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.DEVICE_EXPOSURE cdmTable\n WHERE cdmTable.DEVICE_EXPOSURE_END_DATETIME IS NOT NULL\n) denominator\n;\n 1.13 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = DOSE_ERA\ncdmFieldName = DOSE_ERA_START_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'DOSE_ERA.DOSE_ERA_START_DATE' AS violating_field, \n cdmTable.*\n FROM main.DOSE_ERA cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.DOSE_ERA_START_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.DOSE_ERA_START_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.DOSE_ERA_START_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.DOSE_ERA_START_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.DOSE_ERA cdmTable\n WHERE cdmTable.DOSE_ERA_START_DATE IS NOT NULL\n) denominator\n;\n 1.14 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = DOSE_ERA\ncdmFieldName = DOSE_ERA_END_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'DOSE_ERA.DOSE_ERA_END_DATE' AS violating_field, \n cdmTable.*\n FROM main.DOSE_ERA cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.DOSE_ERA_END_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.DOSE_ERA_END_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.DOSE_ERA_END_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.DOSE_ERA_END_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.DOSE_ERA cdmTable\n WHERE cdmTable.DOSE_ERA_END_DATE IS NOT NULL\n) denominator\n;\n 1.15 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = DRUG_ERA\ncdmFieldName = DRUG_ERA_START_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'DRUG_ERA.DRUG_ERA_START_DATE' AS violating_field, \n cdmTable.*\n FROM main.DRUG_ERA cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.DRUG_ERA_START_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.DRUG_ERA_START_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.DRUG_ERA_START_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.DRUG_ERA_START_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.DRUG_ERA cdmTable\n WHERE cdmTable.DRUG_ERA_START_DATE IS NOT NULL\n) denominator\n;\n 1.16 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = DRUG_ERA\ncdmFieldName = DRUG_ERA_END_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'DRUG_ERA.DRUG_ERA_END_DATE' AS violating_field, \n cdmTable.*\n FROM main.DRUG_ERA cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.DRUG_ERA_END_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.DRUG_ERA_END_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.DRUG_ERA_END_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.DRUG_ERA_END_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.DRUG_ERA cdmTable\n WHERE cdmTable.DRUG_ERA_END_DATE IS NOT NULL\n) denominator\n;\n 1.17 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = DRUG_EXPOSURE\ncdmFieldName = DRUG_EXPOSURE_START_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'DRUG_EXPOSURE.DRUG_EXPOSURE_START_DATE' AS violating_field, \n cdmTable.*\n FROM main.DRUG_EXPOSURE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.DRUG_EXPOSURE_START_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.DRUG_EXPOSURE_START_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.DRUG_EXPOSURE_START_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.DRUG_EXPOSURE_START_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.DRUG_EXPOSURE cdmTable\n WHERE cdmTable.DRUG_EXPOSURE_START_DATE IS NOT NULL\n) denominator\n;\n 1.18 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = DRUG_EXPOSURE\ncdmFieldName = DRUG_EXPOSURE_START_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'DRUG_EXPOSURE.DRUG_EXPOSURE_START_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.DRUG_EXPOSURE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.DRUG_EXPOSURE_START_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.DRUG_EXPOSURE_START_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.DRUG_EXPOSURE_START_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.DRUG_EXPOSURE_START_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.DRUG_EXPOSURE cdmTable\n WHERE cdmTable.DRUG_EXPOSURE_START_DATETIME IS NOT NULL\n) denominator\n;\n 1.19 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = DRUG_EXPOSURE\ncdmFieldName = DRUG_EXPOSURE_END_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'DRUG_EXPOSURE.DRUG_EXPOSURE_END_DATE' AS violating_field, \n cdmTable.*\n FROM main.DRUG_EXPOSURE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.DRUG_EXPOSURE_END_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.DRUG_EXPOSURE_END_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.DRUG_EXPOSURE_END_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.DRUG_EXPOSURE_END_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.DRUG_EXPOSURE cdmTable\n WHERE cdmTable.DRUG_EXPOSURE_END_DATE IS NOT NULL\n) denominator\n;\n 1.20 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = DRUG_EXPOSURE\ncdmFieldName = DRUG_EXPOSURE_END_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'DRUG_EXPOSURE.DRUG_EXPOSURE_END_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.DRUG_EXPOSURE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.DRUG_EXPOSURE_END_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.DRUG_EXPOSURE_END_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.DRUG_EXPOSURE_END_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.DRUG_EXPOSURE_END_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.DRUG_EXPOSURE cdmTable\n WHERE cdmTable.DRUG_EXPOSURE_END_DATETIME IS NOT NULL\n) denominator\n;\n 1.21 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = DRUG_EXPOSURE\ncdmFieldName = VERBATIM_END_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'DRUG_EXPOSURE.VERBATIM_END_DATE' AS violating_field, \n cdmTable.*\n FROM main.DRUG_EXPOSURE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VERBATIM_END_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VERBATIM_END_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VERBATIM_END_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VERBATIM_END_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.DRUG_EXPOSURE cdmTable\n WHERE cdmTable.VERBATIM_END_DATE IS NOT NULL\n) denominator\n;\n 1.22 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = MEASUREMENT\ncdmFieldName = MEASUREMENT_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'MEASUREMENT.MEASUREMENT_DATE' AS violating_field, \n cdmTable.*\n FROM main.MEASUREMENT cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.MEASUREMENT_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.MEASUREMENT_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.MEASUREMENT_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.MEASUREMENT_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.MEASUREMENT cdmTable\n WHERE cdmTable.MEASUREMENT_DATE IS NOT NULL\n) denominator\n;\n 1.23 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = MEASUREMENT\ncdmFieldName = MEASUREMENT_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'MEASUREMENT.MEASUREMENT_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.MEASUREMENT cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.MEASUREMENT_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.MEASUREMENT_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.MEASUREMENT_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.MEASUREMENT_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.MEASUREMENT cdmTable\n WHERE cdmTable.MEASUREMENT_DATETIME IS NOT NULL\n) denominator\n;\n 1.24 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = NOTE\ncdmFieldName = NOTE_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'NOTE.NOTE_DATE' AS violating_field, \n cdmTable.*\n FROM main.NOTE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.NOTE_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.NOTE_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.NOTE_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.NOTE_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.NOTE cdmTable\n WHERE cdmTable.NOTE_DATE IS NOT NULL\n) denominator\n;\n 1.25 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = NOTE\ncdmFieldName = NOTE_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'NOTE.NOTE_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.NOTE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.NOTE_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.NOTE_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.NOTE_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.NOTE_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.NOTE cdmTable\n WHERE cdmTable.NOTE_DATETIME IS NOT NULL\n) denominator\n;\n 1.26 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = OBSERVATION\ncdmFieldName = OBSERVATION_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'OBSERVATION.OBSERVATION_DATE' AS violating_field, \n cdmTable.*\n FROM main.OBSERVATION cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.OBSERVATION_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.OBSERVATION_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.OBSERVATION_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.OBSERVATION_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.OBSERVATION cdmTable\n WHERE cdmTable.OBSERVATION_DATE IS NOT NULL\n) denominator\n;\n 1.27 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = OBSERVATION\ncdmFieldName = OBSERVATION_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'OBSERVATION.OBSERVATION_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.OBSERVATION cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.OBSERVATION_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.OBSERVATION_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.OBSERVATION_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.OBSERVATION_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.OBSERVATION cdmTable\n WHERE cdmTable.OBSERVATION_DATETIME IS NOT NULL\n) denominator\n;\n 1.28 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = OBSERVATION_PERIOD\ncdmFieldName = OBSERVATION_PERIOD_START_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'OBSERVATION_PERIOD.OBSERVATION_PERIOD_START_DATE' AS violating_field, \n cdmTable.*\n FROM main.OBSERVATION_PERIOD cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.OBSERVATION_PERIOD_START_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.OBSERVATION_PERIOD_START_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.OBSERVATION_PERIOD_START_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.OBSERVATION_PERIOD_START_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.OBSERVATION_PERIOD cdmTable\n WHERE cdmTable.OBSERVATION_PERIOD_START_DATE IS NOT NULL\n) denominator\n;\n 1.29 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = OBSERVATION_PERIOD\ncdmFieldName = OBSERVATION_PERIOD_END_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'OBSERVATION_PERIOD.OBSERVATION_PERIOD_END_DATE' AS violating_field, \n cdmTable.*\n FROM main.OBSERVATION_PERIOD cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.OBSERVATION_PERIOD_END_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.OBSERVATION_PERIOD_END_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.OBSERVATION_PERIOD_END_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.OBSERVATION_PERIOD_END_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.OBSERVATION_PERIOD cdmTable\n WHERE cdmTable.OBSERVATION_PERIOD_END_DATE IS NOT NULL\n) denominator\n;\n 1.30 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = PAYER_PLAN_PERIOD\ncdmFieldName = PAYER_PLAN_PERIOD_START_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'PAYER_PLAN_PERIOD.PAYER_PLAN_PERIOD_START_DATE' AS violating_field, \n cdmTable.*\n FROM main.PAYER_PLAN_PERIOD cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.PAYER_PLAN_PERIOD_START_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.PAYER_PLAN_PERIOD_START_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.PAYER_PLAN_PERIOD_START_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.PAYER_PLAN_PERIOD_START_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.PAYER_PLAN_PERIOD cdmTable\n WHERE cdmTable.PAYER_PLAN_PERIOD_START_DATE IS NOT NULL\n) denominator\n;\n 1.31 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = PAYER_PLAN_PERIOD\ncdmFieldName = PAYER_PLAN_PERIOD_END_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'PAYER_PLAN_PERIOD.PAYER_PLAN_PERIOD_END_DATE' AS violating_field, \n cdmTable.*\n FROM main.PAYER_PLAN_PERIOD cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.PAYER_PLAN_PERIOD_END_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.PAYER_PLAN_PERIOD_END_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.PAYER_PLAN_PERIOD_END_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.PAYER_PLAN_PERIOD_END_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.PAYER_PLAN_PERIOD cdmTable\n WHERE cdmTable.PAYER_PLAN_PERIOD_END_DATE IS NOT NULL\n) denominator\n;\n 1.32 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = PROCEDURE_OCCURRENCE\ncdmFieldName = PROCEDURE_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'PROCEDURE_OCCURRENCE.PROCEDURE_DATE' AS violating_field, \n cdmTable.*\n FROM main.PROCEDURE_OCCURRENCE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.PROCEDURE_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.PROCEDURE_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.PROCEDURE_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.PROCEDURE_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.PROCEDURE_OCCURRENCE cdmTable\n WHERE cdmTable.PROCEDURE_DATE IS NOT NULL\n) denominator\n;\n 1.33 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = PROCEDURE_OCCURRENCE\ncdmFieldName = PROCEDURE_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'PROCEDURE_OCCURRENCE.PROCEDURE_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.PROCEDURE_OCCURRENCE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.PROCEDURE_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.PROCEDURE_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.PROCEDURE_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.PROCEDURE_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.PROCEDURE_OCCURRENCE cdmTable\n WHERE cdmTable.PROCEDURE_DATETIME IS NOT NULL\n) denominator\n;\n 1.34 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = SPECIMEN\ncdmFieldName = SPECIMEN_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'SPECIMEN.SPECIMEN_DATE' AS violating_field, \n cdmTable.*\n FROM main.SPECIMEN cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.SPECIMEN_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.SPECIMEN_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.SPECIMEN_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.SPECIMEN_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.SPECIMEN cdmTable\n WHERE cdmTable.SPECIMEN_DATE IS NOT NULL\n) denominator\n;\n 1.35 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = SPECIMEN\ncdmFieldName = SPECIMEN_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'SPECIMEN.SPECIMEN_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.SPECIMEN cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.SPECIMEN_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.SPECIMEN_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.SPECIMEN_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.SPECIMEN_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.SPECIMEN cdmTable\n WHERE cdmTable.SPECIMEN_DATETIME IS NOT NULL\n) denominator\n;\n 1.36 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_DETAIL\ncdmFieldName = VISIT_DETAIL_START_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_DETAIL.VISIT_DETAIL_START_DATE' AS violating_field, \n cdmTable.*\n FROM main.VISIT_DETAIL cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_DETAIL_START_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_DETAIL_START_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_START_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_START_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_DETAIL cdmTable\n WHERE cdmTable.VISIT_DETAIL_START_DATE IS NOT NULL\n) denominator\n;\n 1.37 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_DETAIL\ncdmFieldName = VISIT_DETAIL_START_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_DETAIL.VISIT_DETAIL_START_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.VISIT_DETAIL cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_DETAIL_START_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_DETAIL_START_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_START_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_START_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_DETAIL cdmTable\n WHERE cdmTable.VISIT_DETAIL_START_DATETIME IS NOT NULL\n) denominator\n;\n 1.38 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_DETAIL\ncdmFieldName = VISIT_DETAIL_END_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_DETAIL.VISIT_DETAIL_END_DATE' AS violating_field, \n cdmTable.*\n FROM main.VISIT_DETAIL cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_DETAIL_END_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_DETAIL_END_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_END_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_END_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_DETAIL cdmTable\n WHERE cdmTable.VISIT_DETAIL_END_DATE IS NOT NULL\n) denominator\n;\n 1.39 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_DETAIL\ncdmFieldName = VISIT_DETAIL_END_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_DETAIL.VISIT_DETAIL_END_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.VISIT_DETAIL cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_DETAIL_END_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_DETAIL_END_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_END_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_END_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_DETAIL cdmTable\n WHERE cdmTable.VISIT_DETAIL_END_DATETIME IS NOT NULL\n) denominator\n;\n 1.40 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_OCCURRENCE\ncdmFieldName = VISIT_START_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_OCCURRENCE.VISIT_START_DATE' AS violating_field, \n cdmTable.*\n FROM main.VISIT_OCCURRENCE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_START_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_START_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_START_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_START_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_OCCURRENCE cdmTable\n WHERE cdmTable.VISIT_START_DATE IS NOT NULL\n) denominator\n;\n 1.41 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_OCCURRENCE\ncdmFieldName = VISIT_START_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_OCCURRENCE.VISIT_START_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.VISIT_OCCURRENCE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_START_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_START_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_START_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_START_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_OCCURRENCE cdmTable\n WHERE cdmTable.VISIT_START_DATETIME IS NOT NULL\n) denominator\n;\n 1.42 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_OCCURRENCE\ncdmFieldName = VISIT_END_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_OCCURRENCE.VISIT_END_DATE' AS violating_field, \n cdmTable.*\n FROM main.VISIT_OCCURRENCE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_END_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_END_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_END_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_END_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_OCCURRENCE cdmTable\n WHERE cdmTable.VISIT_END_DATE IS NOT NULL\n) denominator\n;\n 1.43 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_OCCURRENCE\ncdmFieldName = VISIT_END_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_OCCURRENCE.VISIT_END_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.VISIT_OCCURRENCE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_END_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_END_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_END_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_END_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_OCCURRENCE cdmTable\n WHERE cdmTable.VISIT_END_DATETIME IS NOT NULL\n) denominator\n;\n checkName checkLevel 1.1 plausibleAfterBirth FIELD 1.2 plausibleAfterBirth FIELD 1.3 plausibleAfterBirth FIELD 1.4 plausibleAfterBirth FIELD 1.5 plausibleAfterBirth FIELD 1.6 plausibleAfterBirth FIELD 1.7 plausibleAfterBirth FIELD 1.8 plausibleAfterBirth FIELD 1.9 plausibleAfterBirth FIELD 1.10 plausibleAfterBirth FIELD 1.11 plausibleAfterBirth FIELD 1.12 plausibleAfterBirth FIELD 1.13 plausibleAfterBirth FIELD 1.14 plausibleAfterBirth FIELD 1.15 plausibleAfterBirth FIELD 1.16 plausibleAfterBirth FIELD 1.17 plausibleAfterBirth FIELD 1.18 plausibleAfterBirth FIELD 1.19 plausibleAfterBirth FIELD 1.20 plausibleAfterBirth FIELD 1.21 plausibleAfterBirth FIELD 1.22 plausibleAfterBirth FIELD 1.23 plausibleAfterBirth FIELD 1.24 plausibleAfterBirth FIELD 1.25 plausibleAfterBirth FIELD 1.26 plausibleAfterBirth FIELD 1.27 plausibleAfterBirth FIELD 1.28 plausibleAfterBirth FIELD 1.29 plausibleAfterBirth FIELD 1.30 plausibleAfterBirth FIELD 1.31 plausibleAfterBirth FIELD 1.32 plausibleAfterBirth FIELD 1.33 plausibleAfterBirth FIELD 1.34 plausibleAfterBirth FIELD 1.35 plausibleAfterBirth FIELD 1.36 plausibleAfterBirth FIELD 1.37 plausibleAfterBirth FIELD 1.38 plausibleAfterBirth FIELD 1.39 plausibleAfterBirth FIELD 1.40 plausibleAfterBirth FIELD 1.41 plausibleAfterBirth FIELD 1.42 plausibleAfterBirth FIELD 1.43 plausibleAfterBirth FIELD checkDescription 1.1 The number and percent of records with a date value in the CONDITION_ERA_START_DATE field of the CONDITION_ERA table that occurs prior to birth. 1.2 The number and percent of records with a date value in the CONDITION_ERA_END_DATE field of the CONDITION_ERA table that occurs prior to birth. 1.3 The number and percent of records with a date value in the CONDITION_START_DATE field of the CONDITION_OCCURRENCE table that occurs prior to birth. 1.4 The number and percent of records with a date value in the CONDITION_START_DATETIME field of the CONDITION_OCCURRENCE table that occurs prior to birth. 1.5 The number and percent of records with a date value in the CONDITION_END_DATE field of the CONDITION_OCCURRENCE table that occurs prior to birth. 1.6 The number and percent of records with a date value in the CONDITION_END_DATETIME field of the CONDITION_OCCURRENCE table that occurs prior to birth. 1.7 The number and percent of records with a date value in the DEATH_DATE field of the DEATH table that occurs prior to birth. 1.8 The number and percent of records with a date value in the DEATH_DATETIME field of the DEATH table that occurs prior to birth. 1.9 The number and percent of records with a date value in the DEVICE_EXPOSURE_START_DATE field of the DEVICE_EXPOSURE table that occurs prior to birth. 1.10 The number and percent of records with a date value in the DEVICE_EXPOSURE_START_DATETIME field of the DEVICE_EXPOSURE table that occurs prior to birth. 1.11 The number and percent of records with a date value in the DEVICE_EXPOSURE_END_DATE field of the DEVICE_EXPOSURE table that occurs prior to birth. 1.12 The number and percent of records with a date value in the DEVICE_EXPOSURE_END_DATETIME field of the DEVICE_EXPOSURE table that occurs prior to birth. 1.13 The number and percent of records with a date value in the DOSE_ERA_START_DATE field of the DOSE_ERA table that occurs prior to birth. 1.14 The number and percent of records with a date value in the DOSE_ERA_END_DATE field of the DOSE_ERA table that occurs prior to birth. 1.15 The number and percent of records with a date value in the DRUG_ERA_START_DATE field of the DRUG_ERA table that occurs prior to birth. 1.16 The number and percent of records with a date value in the DRUG_ERA_END_DATE field of the DRUG_ERA table that occurs prior to birth. 1.17 The number and percent of records with a date value in the DRUG_EXPOSURE_START_DATE field of the DRUG_EXPOSURE table that occurs prior to birth. 1.18 The number and percent of records with a date value in the DRUG_EXPOSURE_START_DATETIME field of the DRUG_EXPOSURE table that occurs prior to birth. 1.19 The number and percent of records with a date value in the DRUG_EXPOSURE_END_DATE field of the DRUG_EXPOSURE table that occurs prior to birth. 1.20 The number and percent of records with a date value in the DRUG_EXPOSURE_END_DATETIME field of the DRUG_EXPOSURE table that occurs prior to birth. 1.21 The number and percent of records with a date value in the VERBATIM_END_DATE field of the DRUG_EXPOSURE table that occurs prior to birth. 1.22 The number and percent of records with a date value in the MEASUREMENT_DATE field of the MEASUREMENT table that occurs prior to birth. 1.23 The number and percent of records with a date value in the MEASUREMENT_DATETIME field of the MEASUREMENT table that occurs prior to birth. 1.24 The number and percent of records with a date value in the NOTE_DATE field of the NOTE table that occurs prior to birth. 1.25 The number and percent of records with a date value in the NOTE_DATETIME field of the NOTE table that occurs prior to birth. 1.26 The number and percent of records with a date value in the OBSERVATION_DATE field of the OBSERVATION table that occurs prior to birth. 1.27 The number and percent of records with a date value in the OBSERVATION_DATETIME field of the OBSERVATION table that occurs prior to birth. 1.28 The number and percent of records with a date value in the OBSERVATION_PERIOD_START_DATE field of the OBSERVATION_PERIOD table that occurs prior to birth. 1.29 The number and percent of records with a date value in the OBSERVATION_PERIOD_END_DATE field of the OBSERVATION_PERIOD table that occurs prior to birth. 1.30 The number and percent of records with a date value in the PAYER_PLAN_PERIOD_START_DATE field of the PAYER_PLAN_PERIOD table that occurs prior to birth. 1.31 The number and percent of records with a date value in the PAYER_PLAN_PERIOD_END_DATE field of the PAYER_PLAN_PERIOD table that occurs prior to birth. 1.32 The number and percent of records with a date value in the PROCEDURE_DATE field of the PROCEDURE_OCCURRENCE table that occurs prior to birth. 1.33 The number and percent of records with a date value in the PROCEDURE_DATETIME field of the PROCEDURE_OCCURRENCE table that occurs prior to birth. 1.34 The number and percent of records with a date value in the SPECIMEN_DATE field of the SPECIMEN table that occurs prior to birth. 1.35 The number and percent of records with a date value in the SPECIMEN_DATETIME field of the SPECIMEN table that occurs prior to birth. 1.36 The number and percent of records with a date value in the VISIT_DETAIL_START_DATE field of the VISIT_DETAIL table that occurs prior to birth. 1.37 The number and percent of records with a date value in the VISIT_DETAIL_START_DATETIME field of the VISIT_DETAIL table that occurs prior to birth. 1.38 The number and percent of records with a date value in the VISIT_DETAIL_END_DATE field of the VISIT_DETAIL table that occurs prior to birth. 1.39 The number and percent of records with a date value in the VISIT_DETAIL_END_DATETIME field of the VISIT_DETAIL table that occurs prior to birth. 1.40 The number and percent of records with a date value in the VISIT_START_DATE field of the VISIT_OCCURRENCE table that occurs prior to birth. 1.41 The number and percent of records with a date value in the VISIT_START_DATETIME field of the VISIT_OCCURRENCE table that occurs prior to birth. 1.42 The number and percent of records with a date value in the VISIT_END_DATE field of the VISIT_OCCURRENCE table that occurs prior to birth. 1.43 The number and percent of records with a date value in the VISIT_END_DATETIME field of the VISIT_OCCURRENCE table that occurs prior to birth. cdmTableName cdmFieldName conceptId 1.1 CONDITION_ERA CONDITION_ERA_START_DATE <NA> 1.2 CONDITION_ERA CONDITION_ERA_END_DATE <NA> 1.3 CONDITION_OCCURRENCE CONDITION_START_DATE <NA> 1.4 CONDITION_OCCURRENCE CONDITION_START_DATETIME <NA> 1.5 CONDITION_OCCURRENCE CONDITION_END_DATE <NA> 1.6 CONDITION_OCCURRENCE CONDITION_END_DATETIME <NA> 1.7 DEATH DEATH_DATE <NA> 1.8 DEATH DEATH_DATETIME <NA> 1.9 DEVICE_EXPOSURE DEVICE_EXPOSURE_START_DATE <NA> 1.10 DEVICE_EXPOSURE DEVICE_EXPOSURE_START_DATETIME <NA> 1.11 DEVICE_EXPOSURE DEVICE_EXPOSURE_END_DATE <NA> 1.12 DEVICE_EXPOSURE DEVICE_EXPOSURE_END_DATETIME <NA> 1.13 DOSE_ERA DOSE_ERA_START_DATE <NA> 1.14 DOSE_ERA DOSE_ERA_END_DATE <NA> 1.15 DRUG_ERA DRUG_ERA_START_DATE <NA> 1.16 DRUG_ERA DRUG_ERA_END_DATE <NA> 1.17 DRUG_EXPOSURE DRUG_EXPOSURE_START_DATE <NA> 1.18 DRUG_EXPOSURE DRUG_EXPOSURE_START_DATETIME <NA> 1.19 DRUG_EXPOSURE DRUG_EXPOSURE_END_DATE <NA> 1.20 DRUG_EXPOSURE DRUG_EXPOSURE_END_DATETIME <NA> 1.21 DRUG_EXPOSURE VERBATIM_END_DATE <NA> 1.22 MEASUREMENT MEASUREMENT_DATE <NA> 1.23 MEASUREMENT MEASUREMENT_DATETIME <NA> 1.24 NOTE NOTE_DATE <NA> 1.25 NOTE NOTE_DATETIME <NA> 1.26 OBSERVATION OBSERVATION_DATE <NA> 1.27 OBSERVATION OBSERVATION_DATETIME <NA> 1.28 OBSERVATION_PERIOD OBSERVATION_PERIOD_START_DATE <NA> 1.29 OBSERVATION_PERIOD OBSERVATION_PERIOD_END_DATE <NA> 1.30 PAYER_PLAN_PERIOD PAYER_PLAN_PERIOD_START_DATE <NA> 1.31 PAYER_PLAN_PERIOD PAYER_PLAN_PERIOD_END_DATE <NA> 1.32 PROCEDURE_OCCURRENCE PROCEDURE_DATE <NA> 1.33 PROCEDURE_OCCURRENCE PROCEDURE_DATETIME <NA> 1.34 SPECIMEN SPECIMEN_DATE <NA> 1.35 SPECIMEN SPECIMEN_DATETIME <NA> 1.36 VISIT_DETAIL VISIT_DETAIL_START_DATE <NA> 1.37 VISIT_DETAIL VISIT_DETAIL_START_DATETIME <NA> 1.38 VISIT_DETAIL VISIT_DETAIL_END_DATE <NA> 1.39 VISIT_DETAIL VISIT_DETAIL_END_DATETIME <NA> 1.40 VISIT_OCCURRENCE VISIT_START_DATE <NA> 1.41 VISIT_OCCURRENCE VISIT_START_DATETIME <NA> 1.42 VISIT_OCCURRENCE VISIT_END_DATE <NA> 1.43 VISIT_OCCURRENCE VISIT_END_DATETIME <NA> unitConceptId sqlFile category subcategory 1.1 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.2 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.3 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.4 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.5 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.6 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.7 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.8 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.9 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.10 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.11 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.12 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.13 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.14 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.15 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.16 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.17 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.18 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.19 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.20 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.21 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.22 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.23 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.24 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.25 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.26 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.27 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.28 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.29 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.30 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.31 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.32 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.33 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.34 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.35 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.36 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.37 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.38 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.39 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.40 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.41 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.42 <NA> field_plausible_after_birth.sql Plausibility Temporal 1.43 <NA> field_plausible_after_birth.sql Plausibility Temporal context warning error 1.1 Verification NA NA 1.2 Verification NA NA 1.3 Verification NA NA 1.4 Verification NA NA 1.5 Verification NA NA 1.6 Verification NA NA 1.7 Verification NA NA 1.8 Verification NA NA 1.9 Verification NA NA 1.10 Verification NA NA 1.11 Verification NA NA 1.12 Verification NA NA 1.13 Verification NA NA 1.14 Verification NA NA 1.15 Verification NA NA 1.16 Verification NA NA 1.17 Verification NA NA 1.18 Verification NA NA 1.19 Verification NA NA 1.20 Verification NA NA 1.21 Verification NA NA 1.22 Verification NA NA 1.23 Verification NA NA 1.24 Verification NA NA 1.25 Verification NA NA 1.26 Verification NA NA 1.27 Verification NA NA 1.28 Verification NA NA 1.29 Verification NA NA 1.30 Verification NA NA 1.31 Verification NA NA 1.32 Verification NA NA 1.33 Verification NA NA 1.34 Verification NA NA 1.35 Verification NA NA 1.36 Verification NA NA 1.37 Verification NA NA 1.38 Verification NA NA 1.39 Verification NA NA 1.40 Verification NA NA 1.41 Verification NA NA 1.42 Verification NA NA 1.43 Verification NA NA checkId 1.1 field_plausibleafterbirth_condition_era_condition_era_start_date 1.2 field_plausibleafterbirth_condition_era_condition_era_end_date 1.3 field_plausibleafterbirth_condition_occurrence_condition_start_date 1.4 field_plausibleafterbirth_condition_occurrence_condition_start_datetime 1.5 field_plausibleafterbirth_condition_occurrence_condition_end_date 1.6 field_plausibleafterbirth_condition_occurrence_condition_end_datetime 1.7 field_plausibleafterbirth_death_death_date 1.8 field_plausibleafterbirth_death_death_datetime 1.9 field_plausibleafterbirth_device_exposure_device_exposure_start_date 1.10 field_plausibleafterbirth_device_exposure_device_exposure_start_datetime 1.11 field_plausibleafterbirth_device_exposure_device_exposure_end_date 1.12 field_plausibleafterbirth_device_exposure_device_exposure_end_datetime 1.13 field_plausibleafterbirth_dose_era_dose_era_start_date 1.14 field_plausibleafterbirth_dose_era_dose_era_end_date 1.15 field_plausibleafterbirth_drug_era_drug_era_start_date 1.16 field_plausibleafterbirth_drug_era_drug_era_end_date 1.17 field_plausibleafterbirth_drug_exposure_drug_exposure_start_date 1.18 field_plausibleafterbirth_drug_exposure_drug_exposure_start_datetime 1.19 field_plausibleafterbirth_drug_exposure_drug_exposure_end_date 1.20 field_plausibleafterbirth_drug_exposure_drug_exposure_end_datetime 1.21 field_plausibleafterbirth_drug_exposure_verbatim_end_date 1.22 field_plausibleafterbirth_measurement_measurement_date 1.23 field_plausibleafterbirth_measurement_measurement_datetime 1.24 field_plausibleafterbirth_note_note_date 1.25 field_plausibleafterbirth_note_note_datetime 1.26 field_plausibleafterbirth_observation_observation_date 1.27 field_plausibleafterbirth_observation_observation_datetime 1.28 field_plausibleafterbirth_observation_period_observation_period_start_date 1.29 field_plausibleafterbirth_observation_period_observation_period_end_date 1.30 field_plausibleafterbirth_payer_plan_period_payer_plan_period_start_date 1.31 field_plausibleafterbirth_payer_plan_period_payer_plan_period_end_date 1.32 field_plausibleafterbirth_procedure_occurrence_procedure_date 1.33 field_plausibleafterbirth_procedure_occurrence_procedure_datetime 1.34 field_plausibleafterbirth_specimen_specimen_date 1.35 field_plausibleafterbirth_specimen_specimen_datetime 1.36 field_plausibleafterbirth_visit_detail_visit_detail_start_date 1.37 field_plausibleafterbirth_visit_detail_visit_detail_start_datetime 1.38 field_plausibleafterbirth_visit_detail_visit_detail_end_date 1.39 field_plausibleafterbirth_visit_detail_visit_detail_end_datetime 1.40 field_plausibleafterbirth_visit_occurrence_visit_start_date 1.41 field_plausibleafterbirth_visit_occurrence_visit_start_datetime 1.42 field_plausibleafterbirth_visit_occurrence_visit_end_date 1.43 field_plausibleafterbirth_visit_occurrence_visit_end_datetime failed passed isError notApplicable notApplicableReason thresholdValue 1.1 0 0 0 0 NA 1 1.2 0 0 0 0 NA 1 1.3 0 0 0 0 NA 1 1.4 0 0 0 0 NA 1 1.5 0 0 0 0 NA 1 1.6 0 0 0 0 NA 1 1.7 0 0 0 0 NA 1 1.8 0 0 0 0 NA 1 1.9 0 0 0 0 NA 1 1.10 0 0 0 0 NA 1 1.11 0 0 0 0 NA 1 1.12 0 0 0 0 NA 1 1.13 0 0 0 0 NA 1 1.14 0 0 0 0 NA 1 1.15 0 0 0 0 NA 1 1.16 0 0 0 0 NA 1 1.17 0 0 0 0 NA 1 1.18 0 0 0 0 NA 1 1.19 0 0 0 0 NA 1 1.20 0 0 0 0 NA 1 1.21 0 0 0 0 NA 1 1.22 0 0 0 0 NA 1 1.23 0 0 0 0 NA 1 1.24 0 0 0 0 NA 1 1.25 0 0 0 0 NA 1 1.26 0 0 0 0 NA 1 1.27 0 0 0 0 NA 1 1.28 0 0 0 0 NA 1 1.29 0 0 0 0 NA 1 1.30 0 0 0 0 NA 1 1.31 0 0 0 0 NA 1 1.32 0 0 0 0 NA 1 1.33 0 0 0 0 NA 1 1.34 0 0 0 0 NA 1 1.35 0 0 0 0 NA 1 1.36 0 0 0 0 NA 1 1.37 0 0 0 0 NA 1 1.38 0 0 0 0 NA 1 1.39 0 0 0 0 NA 1 1.40 0 0 0 0 NA 1 1.41 0 0 0 0 NA 1 1.42 0 0 0 0 NA 1 1.43 0 0 0 0 NA 1 notesValue 1.1 NA 1.2 NA 1.3 NA 1.4 NA 1.5 NA 1.6 NA 1.7 NA 1.8 NA 1.9 NA 1.10 NA 1.11 NA 1.12 NA 1.13 NA 1.14 NA 1.15 NA 1.16 NA 1.17 NA 1.18 NA 1.19 NA 1.20 NA 1.21 NA 1.22 NA 1.23 NA 1.24 NA 1.25 NA 1.26 NA 1.27 NA 1.28 NA 1.29 NA 1.30 NA 1.31 NA 1.32 NA 1.33 NA 1.34 NA 1.35 NA 1.36 NA 1.37 NA 1.38 NA 1.39 NA 1.40 NA 1.41 NA 1.42 NA 1.43 NA All results for visit_occurrence: numViolatedRows pctViolatedRows numDenominatorRows executionTime 1.36 0 0 0 0.005484 secs 1.37 0 0 0 0.010274 secs 1.38 0 0 0 0.006161 secs 1.39 0 0 0 0.005602 secs 1.40 0 0 1 0.007102 secs 1.41 0 0 1 0.007559 secs 1.42 0 0 1 0.007696 secs 1.43 0 0 1 0.032277 secs queryText 1.36 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_DETAIL\ncdmFieldName = VISIT_DETAIL_START_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_DETAIL.VISIT_DETAIL_START_DATE' AS violating_field, \n cdmTable.*\n FROM main.VISIT_DETAIL cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_DETAIL_START_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_DETAIL_START_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_START_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_START_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_DETAIL cdmTable\n WHERE cdmTable.VISIT_DETAIL_START_DATE IS NOT NULL\n) denominator\n;\n 1.37 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_DETAIL\ncdmFieldName = VISIT_DETAIL_START_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_DETAIL.VISIT_DETAIL_START_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.VISIT_DETAIL cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_DETAIL_START_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_DETAIL_START_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_START_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_START_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_DETAIL cdmTable\n WHERE cdmTable.VISIT_DETAIL_START_DATETIME IS NOT NULL\n) denominator\n;\n 1.38 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_DETAIL\ncdmFieldName = VISIT_DETAIL_END_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_DETAIL.VISIT_DETAIL_END_DATE' AS violating_field, \n cdmTable.*\n FROM main.VISIT_DETAIL cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_DETAIL_END_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_DETAIL_END_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_END_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_END_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_DETAIL cdmTable\n WHERE cdmTable.VISIT_DETAIL_END_DATE IS NOT NULL\n) denominator\n;\n 1.39 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_DETAIL\ncdmFieldName = VISIT_DETAIL_END_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_DETAIL.VISIT_DETAIL_END_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.VISIT_DETAIL cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_DETAIL_END_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_DETAIL_END_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_END_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_DETAIL_END_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_DETAIL cdmTable\n WHERE cdmTable.VISIT_DETAIL_END_DATETIME IS NOT NULL\n) denominator\n;\n 1.40 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_OCCURRENCE\ncdmFieldName = VISIT_START_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_OCCURRENCE.VISIT_START_DATE' AS violating_field, \n cdmTable.*\n FROM main.VISIT_OCCURRENCE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_START_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_START_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_START_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_START_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_OCCURRENCE cdmTable\n WHERE cdmTable.VISIT_START_DATE IS NOT NULL\n) denominator\n;\n 1.41 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_OCCURRENCE\ncdmFieldName = VISIT_START_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_OCCURRENCE.VISIT_START_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.VISIT_OCCURRENCE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_START_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_START_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_START_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_START_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_OCCURRENCE cdmTable\n WHERE cdmTable.VISIT_START_DATETIME IS NOT NULL\n) denominator\n;\n 1.42 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_OCCURRENCE\ncdmFieldName = VISIT_END_DATE\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_OCCURRENCE.VISIT_END_DATE' AS violating_field, \n cdmTable.*\n FROM main.VISIT_OCCURRENCE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_END_DATE IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_END_DATE AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_END_DATE AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_END_DATE AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_OCCURRENCE cdmTable\n WHERE cdmTable.VISIT_END_DATE IS NOT NULL\n) denominator\n;\n 1.43 /*********\nPLAUSIBLE_AFTER_BIRTH\nChecks that all events happen after birth (PLAUSIBLE_AFTER_BIRTH == Yes)\nBirthdate is either birth_datetime or composed from year_of_birth, month_of_birth, day_of_birth (taking 1st month/1st day if missing).\nDenominator is number of events with a non-null date.\nParameters used in this template:\nschema = main\ncdmDatabaseSchema = main\ncdmTableName = VISIT_OCCURRENCE\ncdmFieldName = VISIT_END_DATETIME\n**********/\nSELECT \n num_violated_rows, \n CASE \n WHEN denominator.num_rows = 0 THEN 0 \n ELSE 1.0*num_violated_rows/denominator.num_rows \n END AS pct_violated_rows, \n denominator.num_rows AS num_denominator_rows\nFROM\n(\n SELECT \n COUNT(violated_rows.violating_field) AS num_violated_rows\n FROM\n (\n /*violatedRowsBegin*/\n SELECT \n 'VISIT_OCCURRENCE.VISIT_END_DATETIME' AS violating_field, \n cdmTable.*\n FROM main.VISIT_OCCURRENCE cdmTable\n JOIN main.person p \n ON cdmTable.person_id = p.person_id\n WHERE cdmTable.VISIT_END_DATETIME IS NOT NULL AND \n CAST(STRFTIME('%s', SUBSTR(CAST(cdmTable.VISIT_END_DATETIME AS TEXT), 1, 4) || '-' || SUBSTR(CAST(cdmTable.VISIT_END_DATETIME AS TEXT), 5, 2) || '-' || SUBSTR(CAST(cdmTable.VISIT_END_DATETIME AS TEXT), 7)) AS REAL) < COALESCE(\n CAST(STRFTIME('%s', SUBSTR(CAST(p.birth_datetime AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.birth_datetime AS TEXT), 7)) AS REAL), \n CAST(STRFTIME('%s', SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 1, 4) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 5, 2) || '-' || SUBSTR(CAST(p.year_of_birth || COALESCE(\n SUBSTR(CAST('0' || CAST(p.month_of_birth AS TEXT) AS TEXT),-2),\n '01'\n ) || COALESCE(\n SUBSTR(CAST('0' || CAST(p.day_of_birth AS TEXT) AS TEXT),-2),\n '01'\n )\n AS TEXT), 7)) AS REAL)\n )\n /*violatedRowsEnd*/\n ) violated_rows\n) violated_row_count,\n(\n SELECT \n COUNT(*) AS num_rows\n FROM main.VISIT_OCCURRENCE cdmTable\n WHERE cdmTable.VISIT_END_DATETIME IS NOT NULL\n) denominator\n;\n checkName checkLevel 1.36 plausibleAfterBirth FIELD 1.37 plausibleAfterBirth FIELD 1.38 plausibleAfterBirth FIELD 1.39 plausibleAfterBirth FIELD 1.40 plausibleAfterBirth FIELD 1.41 plausibleAfterBirth FIELD 1.42 plausibleAfterBirth FIELD 1.43 plausibleAfterBirth FIELD checkDescription 1.36 The number and percent of records with a date value in the VISIT_DETAIL_START_DATE field of the VISIT_DETAIL table that occurs prior to birth. 1.37 The number and percent of records with a date value in the VISIT_DETAIL_START_DATETIME field of the VISIT_DETAIL table that occurs prior to birth. 1.38 The number and percent of records with a date value in the VISIT_DETAIL_END_DATE field of the VISIT_DETAIL table that occurs prior to birth. 1.39 The number and percent of records with a date value in the VISIT_DETAIL_END_DATETIME field of the VISIT_DETAIL table that occurs prior to birth. 1.40 The number and percent of records with a date value in the VISIT_START_DATE field of the VISIT_OCCURRENCE table that occurs prior to birth. 1.41 The number and percent of records with a date value in the VISIT_START_DATETIME field of the VISIT_OCCURRENCE table that occurs prior to birth. 1.42 The number and percent of records with a date value in the VISIT_END_DATE field of the VISIT_OCCURRENCE table that occurs prior to birth. 1.43 The number and percent of records with a date value in the VISIT_END_DATETIME field of the VISIT_OCCURRENCE table that occurs prior to birth. cdmTableName cdmFieldName conceptId unitConceptId 1.36 VISIT_DETAIL VISIT_DETAIL_START_DATE <NA> <NA> 1.37 VISIT_DETAIL VISIT_DETAIL_START_DATETIME <NA> <NA> 1.38 VISIT_DETAIL VISIT_DETAIL_END_DATE <NA> <NA> 1.39 VISIT_DETAIL VISIT_DETAIL_END_DATETIME <NA> <NA> 1.40 VISIT_OCCURRENCE VISIT_START_DATE <NA> <NA> 1.41 VISIT_OCCURRENCE VISIT_START_DATETIME <NA> <NA> 1.42 VISIT_OCCURRENCE VISIT_END_DATE <NA> <NA> 1.43 VISIT_OCCURRENCE VISIT_END_DATETIME <NA> <NA> sqlFile category subcategory context 1.36 field_plausible_after_birth.sql Plausibility Temporal Verification 1.37 field_plausible_after_birth.sql Plausibility Temporal Verification 1.38 field_plausible_after_birth.sql Plausibility Temporal Verification 1.39 field_plausible_after_birth.sql Plausibility Temporal Verification 1.40 field_plausible_after_birth.sql Plausibility Temporal Verification 1.41 field_plausible_after_birth.sql Plausibility Temporal Verification 1.42 field_plausible_after_birth.sql Plausibility Temporal Verification 1.43 field_plausible_after_birth.sql Plausibility Temporal Verification warning error 1.36 NA NA 1.37 NA NA 1.38 NA NA 1.39 NA NA 1.40 NA NA 1.41 NA NA 1.42 NA NA 1.43 NA NA checkId failed 1.36 field_plausibleafterbirth_visit_detail_visit_detail_start_date 0 1.37 field_plausibleafterbirth_visit_detail_visit_detail_start_datetime 0 1.38 field_plausibleafterbirth_visit_detail_visit_detail_end_date 0 1.39 field_plausibleafterbirth_visit_detail_visit_detail_end_datetime 0 1.40 field_plausibleafterbirth_visit_occurrence_visit_start_date 0 1.41 field_plausibleafterbirth_visit_occurrence_visit_start_datetime 0 1.42 field_plausibleafterbirth_visit_occurrence_visit_end_date 0 1.43 field_plausibleafterbirth_visit_occurrence_visit_end_datetime 0 passed isError notApplicable notApplicableReason thresholdValue notesValue 1.36 0 0 0 NA 1 NA 1.37 0 0 0 NA 1 NA 1.38 0 0 0 NA 1 NA 1.39 0 0 0 NA 1 NA 1.40 0 0 0 NA 1 NA 1.41 0 0 0 NA 1 NA 1.42 0 0 0 NA 1 NA 1.43 0 0 0 NA 1 NA Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measurePersonCompleteness Writing results to file: /tmp/RtmpPA9syW/dqd_251ec868460a5e/synthea-20260512145158.json Execution Complete Writing results to file: /tmp/RtmpPA9syW/dqd_251ec868460a5e/reEvaluated.txt Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measurePersonCompleteness Writing results to file: /tmp/RtmpPA9syW/dqd_251ec86cfa3fa/synthea-20260512145200.json Execution Complete Connecting using SQLite driver Writing results to table main.dqd_db_results | | | 0% | |=================================== | 50% | |======================================================================| 100% Executing SQL took 0.00499 secs Inserting data took 0.0206 secs Finished writing table Connecting using SQLite driver Writing results to file: /tmp/RtmpPA9syW/dqd_251ec86cfa3fa/dq-result-test.json Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measurePersonCompleteness Writing results to file: /tmp/RtmpPA9syW/dqd_251ec8478e4c8d/synthea-20260512145202.json Execution Complete Loading results from /tmp/RtmpPA9syW/dqd_251ec8478e4c8d/synthea-20260512145202.json Writing results to CSV file /tmp/RtmpPA9syW/dqd_251ec8478e4c8d/results.csv Finished writing to CSV file Connecting using SQLite driver Writing results to table main.dqd_json_results_table | | | 0% | |=================================== | 50% | |======================================================================| 100% Executing SQL took 0.00514 secs Inserting data took 0.0174 secs Finished writing table Connecting using SQLite driver | | | 0% | |======================================================================| 100% Executing SQL took 0.00447 secs Connecting using SQLite driver -- Column specification -------------------------------------------------------- cols( checkLevel = col_character(), checkName = col_character(), checkDescription = col_character(), kahnContext = col_character(), kahnCategory = col_character(), kahnSubcategory = col_character(), sqlFile = col_character(), evaluationFilter = col_character(), severity = col_character() ) CDM Tables skipped: CONCEPT, VOCABULARY, CONCEPT_ANCESTOR, CONCEPT_RELATIONSHIP, CONCEPT_CLASS, CONCEPT_SYNONYM, RELATIONSHIP, DOMAIN Processing check description: measurePersonCompleteness Writing results to file: /tmp/RtmpPA9syW/dqd_251ec85a281c12/synthea-20260512145203.json Execution Complete Connecting using SQLite driver Writing results to table main.dqd_single_table | | | 0% | |=================================== | 50% | |======================================================================| 100% Executing SQL took 0.00527 secs Inserting data took 0.0245 secs Finished writing table Connecting using SQLite driver | | | 0% | |======================================================================| 100% Executing SQL took 0.00418 secs Connecting using SQLite driver Writing results to table main.dqd_separate_tables_table | | | 0% | |=================================== | 50% | |======================================================================| 100% Executing SQL took 0.00485 secs Inserting data took 0.0229 secs Finished writing table | | | 0% | |======================================================================| 100% Executing SQL took 0.00414 secs [ FAIL 1 | WARN 0 | SKIP 5 | PASS 79 ] ══ Skipped tests (5) ═══════════════════════════════════════════════════════════ • On CRAN (3): 'test-executeDqChecks.R:481:1', 'test-executeDqChecks.R:514:1', 'test-executeDqChecks.R:547:1' • empty test (2): 'test-executeDqChecks.R:280:1', ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-executeDqChecks.R:709:3'): Execute a single DQ check on DuckDB ── <rlib_error_package_not_found/rlang_error/error/condition> Error in `Eunomia::getDatabaseFile(datasetName = "GiBleed", dbms = "duckdb")`: The package "duckdb" is required. Backtrace: ▆ 1. └─Eunomia::getDatabaseFile(datasetName = "GiBleed", dbms = "duckdb") at test-executeDqChecks.R:709:3 2. └─rlang::check_installed("duckdb") [ FAIL 1 | WARN 0 | SKIP 5 | PASS 79 ] Error: ! Test failures. Warning message: call dbDisconnect() when finished working with a connection Execution halted Flavor: r-devel-linux-x86_64-debian-gcc