Page History

Tabulation and analysis Standards for questionnaires, ratings, and scales (QRS) are maintained as stand-alone supplemental guides on the CDISC website at https://www.cdisc.org/foundational/qrs. CDISC develops controlled terminology and publishes supplements for individual QRS instruments when the instrument is in the public domain or when permission has been granted by the copyright holder. 

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• The Findings About Events or Interventions (FA–)  is a specialization of the Findings general observation class. As such, it shares all qualities and conventions of Findings observations but is specialized by the addition of the --OBJ variable.

Example

This is an example of a single item visual analog scale (VAS) used to assess the level of craving based on response to the question “ In the past 24 hours, how strong is your craving for cigarettes?” on a scale from “no craving” to “strong craving” by measuring the number of millimeters (0–100 mm) from the “no craving” dot to the point at which the drawn line intersected the scale.

The Findings About Events or Interventions (FA) domain was used to represent the assessment of craving. Sponsors may represent findings data in a single FA dataset or split the FA domain into separate datasets, following the guidance in the guide. In this example, a FACE dataset was used. The craving itself is considered a clinical event, whereas the evaluation of craving at specific time points are considered findings about the clinical event.  A parent record in the CE domain is not required.

This example illustrates how information on the scale scoring may be represented as supplemental qualifier variables. A record in a SUPPFA dataset relates back to the parent record(s) via the key identified by the STUDYID, RDOMAIN, USUBJID, and IDVAR/IDVARVAL variables. Here the parent domain (RDOMAIN) is FA, and IDVAR is FASEQ. QNAM holds the name of the supplemental qualifier variable being defined. 

All QRS questions and reply choices are presented as validated in the CRF to maintain the validity. In some cases, this may result in CRFs that do not conform to CDASH best practices. The use of such questionnaires in their native format should not be considered to affect conformance to CDASH.

All QRS questions and reply choices are presented as validated in the CRF to maintain the validity of a validated instrument. In some cases, this may result in CRFs that do not conform to CDASH best practices; however, restructuring these questionnaires should not be done because it could invalidate them. The use of such questionnaires in their native format should not be considered to affect conformance to CDASH.

Description/Overview for the CDASHIG QRS - Questionnaires, Ratings, and Scales Domain

Questionnaires, ratings, and scales (QRS) are standardized and often validated instruments, and the data collected using them are represented in SDTMIG domains including Questionnaires (QS), Disease Response and Clin Classification (RS), and Functional Tests (FT). See the SDTMIG or the QRS web page (https://www.cdisc.org/foundational/qrs) for complete information on these domains. CDISC publishes supplemental specifications called QRS supplements, including example annotated CRFs (aCRFs) for many of these instruments.

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The released QRS documentation is maintained on the CDISC QRS web page.

Specification for the CDASHIG QRS - Questionnaires, Ratings, and Scales Domain

Reference the QRS supplements posted on the QRS web page and the specifications for specific domains (QS, RS, and FT) in the SDTMIG.

Assumptions for the CDASHIG QRS - Questionnaires, Ratings, and Scales Domain 

1. CDISC standards for QRS include controlled terminology for test codes (--TESTCD), test names (--TEST), standard timing values, standard results for database values, and an aCRF with SDTMIG domain variable names. These standards can be used to create an electronic data collection (EDC) structure following the same conventions that would be used for any Findings class domain. The SDTMIG QS, RS, and FT domains utilize a normalized data structure; that is, 1 variable (--TEST) is used to capture the test name and another variable (--ORRES) is used to capture the result. Even though these domain variables are presented as a normalized structure in the CDASHIG metadata table, implementers using a denormalized structure (1 variable for each test) should create variable names that mirror the values in QRS Controlled Terminology (e.g., QSTESTCD, RSTESTCD, FTTESTCD).
2. Electronic representations of QRS instruments should reflect the title, subheadings, and exact numbering and wording of questions as they appear in original versions.
3. Electronic response fields should allow either the original response (--ORRES) or coded value (--STRESC) to be input—but usually not both, to avoid discrepancies.
4. Checkboxes that appear on validated QRS instruments should remain checkboxes in the CRF/eCRF.
5. Copyrighted instruments may include the copyright notice on the eCRF/CRF. For more copyright Information about QRS instruments, see the QRS web page. 
6. Instrument-specific assumptions are included in the QRS supplements posted on the QRS web page.

Example CRF for the CDASHIG QRS - Questionnaires, Ratings, and Scales Domain

See the examples in the QRS supplements posted on the QRS web page (https://www.cdisc.org/standards/foundational/qrs).

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