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Revision History

© 2023 Clinical Data Interchange Standards Consortium, Inc. All rights reserved. 

1 Introduction

This document describes the CDISC implementation of the Functional Assessment of Anorexia/Cachexia Treatment Version 4 (FAACT V4) instrument.

CDISC did not modify this questionnaires, ratings, and scales (QRS) instrument to meet Clinical Data Acquisition Standards Harmonization (CDASH) case report form (CRF) standards.

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The CDISC Intellectual Property Policy can be found on the CDISC website at: https://www.cdisc.org/about/bylaws.

1.1 Representations and Warranties, Limitations of Liability, and Disclaimers

This document is a supplement to the SDTMIG for Human Clinical Trials and is covered under Appendix F of that document, which describes representations, warranties, limitations of liability, and disclaimers. Please see Appendix F of the SDTMIG for a complete version of this material.

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Although the United States Food and Drug Administration (US FDA) has provided input with regard to this supplement, this input does not constitute US FDA endorsement of any particular instrument.

2 Copyright Status

David Cella, PhD. , owns the copyright for the FAACT V4 instrument and has granted CDISC permission to include this supplement in the CDISC inventory of QRS data standards supplements. Hence, CDISC developed QSTESTCD and QSTEST for each item based on the actual text on the instrument.

These materials discuss and/or include the FACIT Measurement System, which is owned exclusively by Dr. David Cella. No part of the FACIT Measurement System may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of Dr. David Cella and payment of any applicable fees. Copyright Dr. David Cella. All rights reserved.  Copyright 1987, 1997 David Cella, Ph.DPhD.

The CDISC documentation of this instrument consists of: (1) controlled terminology, (2) standard database structure with examples, and (3) CRF(s) annotated with the CDISC SDTMIG variables with submission values. 

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• FACIT.org for more information as well as the scoring guide.

3 The QS Domain Model

3.1 Assumptions for the QS Domain Model

All assumptions and business rules described in the SDTMIG QS domain are applicable to this supplement. Additional assumptions specific to the FAACT V4 are listed below.

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1. All items rated on a 5-point scale include a numeric rating (0-4) and a definition of what is represented by the rating (e.g., 0 = "Not at all", 4 = "Very much"). For the FAACT V4, QSORRES is populated with the text description; the numeric rating is represented in the standardized character and numeric result variables QSSTRESC and QSSTRESN.

   1. FAC06514 may be rated on a 5-point scale or the subject may prefer not to answer. When the checkbox is marked that the subject prefers not to rate the itemanswer the item

      Jira
      showSummary false server Issue Tracker (JIRA) serverId 85506ce4-3cb3-3d91-85ee-f633aaaf4a45 key QRSSUPP-665

      , this is noted with QSSTAT = "NOT DONE" and QSREASND = "PREFER NOT TO ANSWER". QSORRES, QSSTRESC, and QSSTRESN are all missing.

2. The time period of evaluation for the FAACT V4 is populated in the QSEVLINT field in ISO 8601 format when the evaluation interval can be precisely described as duration. The evaluation interval for the FAACT V4 is the past 7 days (QSEVLINT = "-P7D").

3. Items are divided into 5 subcategories represented in QSSCAT: "PHYSICAL WELL-BEING", "SOCIAL/FAMILY WELL-BEING", "EMOTIONAL WELL-BEING", "FUNCTIONAL WELL-BEING", and "ADDITIONAL CONCERNS".

4. Records are created in qs.xpt for every item on the instrument: 

   1. For items with no data, QSORRES, QSSTRESC, and QSSTRESN are all missing and QSSTAT = "NOT DONE". If the reason is known then that reason is represented in QSREASND (e.g., QSREASND = "PREFER NOT TO ANSWER"). If the reason is unknown, then QSSTAT = "NOT DONE" and QSREASND is missing.

5. The FAACT V4 instrument includes subscale scores for each subcategory in addition to trial outcome index, FACT-G, and total scores per FACIT.org's scoring materials and are considered as captured data on the CRF and are not considered as derived in the example below. These scores may be submitted in SDTM or derived in the Analysis Data Model (ADaM) per scoring instructions from FACIT.org.

   1. Subscores and total scores are represented in QSORRES.

   2. If scores are received or derived by the sponsor, it is recommended that they are submitted to SDTM and verified in ADaM whenever feasible.
6. Terminology

   1. QSCAT, QSTESTCD, and QSTEST values are included in CDISC Controlled Terminology.

   2. A full list of value sets for the result field is provided in Section 4, SDTM Mapping Strategy.

3.2 Example for the QRS FAACT V4 QS Domain Model

The FAACT V4 example below shows the terminology used to implement the instrument in the QS domain. This example shows the data for 1 subject collected at the baseline visit for the FAACT V4 instrument. The example uses CDISC Controlled Terminology for QSTESTCD, QSTEST, and QSCAT. All original results, matching the CRF item response text, are represented in QSORRES. This result is then represented as a standard numeric score in QSSTRESN and as a standard character representation in QSSTRESC.

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The following table represents the items from the FAACT V4 instrument. The subject was not evaluated on this instrument at visit 2. Since the visit was missed, the reason for not completing the visit was not collected, and no date is assumed for when the visit would have occurred.

4 SDTM Mapping Strategy

This section is used for reference regarding the CRF data capture and to understand the alignment of the instrument to the SDTM QS domain. It also provides guidance on how the result variables (QSORRES, QSSTRESC, and QSSTRESN) should be populated.

QSSCAT alignment with QSTESTCD

As stated in Section 3.1 assumptions, Assumptions, items on the FAACT V4 are grouped into subcategories. The following table below includes the subcategory names along with the applicable item numbers for each category. The values of the subcategories are used to populate QSSCAT and are annotated on the CRF.

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