Alcohol Use Disorder Identification Test Self-Report Version (AUDIT-SR)



Similar documents
Karnofsky Performance Status Scale (KPS Scale)

AUDIT. The Alcohol Use Disorders Identification Test: Interview Version

New features in SDTM-ETL v SDTM-ETL TM. New Features in version 1.2

How To Diagnose And Treat An Alcoholic Problem

SDTM-ETL TM. The user-friendly ODM SDTM Mapping software package. Transforming operational clinical data into SDTM datasets is not an easy process.

Analysis Data Model (ADaM)

PharmaSUG2010 HW06. Insights into ADaM. Matthew Becker, PharmaNet, Cary, NC, United States

SDTM Validation: Methodologies and Tools

Business & Decision Life Sciences CDISC Workshop: From SDTM to ADaM: Mapping Methodologies

CAGE. AUDIT-C and the Full AUDIT

Note: See 7.7 Representations and Warranties, Limitations of Liability, and Disclaimer.

CDISC Journal. Regulatory Submissions for Medical Devices and Diagnostics: The Basics

The ADaM Solutions to Non-endpoints Analyses

Seek, Test, Treat and Retain for Vulnerable Populations: Data Harmonization Measure

SCORING AND INTERPRETATION OF AUDIT

SDTM AND ADaM: HANDS-ON SOLUTIONS

Introduction to the CDISC Standards

PharmaSUG Paper DS15

USE CDISC SDTM AS A DATA MIDDLE-TIER TO STREAMLINE YOUR SAS INFRASTRUCTURE

Programme Guide PGDCDM

Metadata Submission Guidelines Appendix to the Study Data Tabulation Model Implementation Guide

CDISC Roadmap Outline: Further development and convergence of SDTM, ODM & Co

Common Misunderstandings about ADaM Implementation

PharmaSUG Paper HS01. CDASH Standards for Medical Device Trials: CRF Analysis. Parag Shiralkar eclinical Solutions, a Division of Eliassen Group

Copyright 2012, SAS Institute Inc. All rights reserved. VISUALIZATION OF STANDARD TLFS FOR CLINICAL TRIAL DATA ANALYSIS

Data Conversion to SDTM: What Sponsors Can Do to Facilitate the Process

Implementing the CDISC standards into an existing CDMS

Overview of CDISC Implementation at PMDA. Yuki Ando Senior Scientist for Biostatistics Pharmaceuticals and Medical Devices Agency (PMDA)

The Development of the Clinical Trial Ontology to standardize dissemination of clinical trial data. Ravi Shankar

Lessons on the Metadata Approach. Dave Iberson- Hurst 9 th April 2014 CDISC Euro Interchange 2014

Substance Use Education for Nurses Screening, Brief Intervention and Referral to Treatment (SBIRT) SBIRT: An Effective Approach

Alcohol Identification and Brief Advice (IBA) in Buckinghamshire

Data Standards and the National Cardiovascular Research Infrastructure (NCRI)

ABSTRACT On October 1st, 2008, CDASH released the first 16 common CRF streams (or domains) for use by the Pharmaceutical Industry.

CDISC standards and data management The essential elements for Advanced Review with Electronic Data

Implementing CDASH Standards Into Data Collection and Database Design. Robert Stemplinger ICON Clinical Research

Einführung in die CDISC Standards CDISC Standards around the World. Bron Kisler (CDISC) & Andrea Rauch DVMD Tagung

A Brief Introduc/on to CDISC SDTM and Data Mapping

Using the SAS XML Mapper and ODS PDF to create a PDF representation of the define.xml (that can be printed)

BRIDGing CDASH to SAS: How Harmonizing Clinical Trial and Healthcare Standards May Impact SAS Users Clinton W. Brownley, Cupertino, CA

Business & Decision Life Sciences What s new in ADaM

The CDISC Study Data Tabulation Model (SDTM): History, Perspective, and Basics Fred Wood Principal Consultant, Octagon Research Solutions

STUDY DATA TECHNICAL CONFORMANCE GUIDE

Use of standards: can we really be analysis ready?

Trials and Tribulations of SDTM Trial Design

Clinical Trial Data Integration: The Strategy, Benefits, and Logistics of Integrating Across a Compound

SBIRT: Behavioral Health Screenings & Patient- Centered Care. Presented By: Zoe O Neill July 24, 2013

Analysis Data Model (ADaM) Implementation Guide

A Macro to Create Data Definition Documents

PharmaSUG Paper DS02

WHITE PAPER. CONVERTING SDTM DATA TO ADaM DATA AND CREATING SUBMISSION READY SAFETY TABLES AND LISTINGS. SUCCESSFUL TRIALS THROUGH PROVEN SOLUTIONS

Chapter 7. Screening and Assessment

Alcohol. Alcohol INFORMATION SHEET. Page 1 of 18

Understanding Coding & Reimbursement for SBI. Presented By: Jen Cohrs CPC, CPMA, CGIC Director of Educational Strategies Wisconsin Medical Society

CDER/CBER s Top 7 CDISC Standards Issues

Addiction and the Brain's Pleasure Pathway: Beyond Willpower

PK IN DRUG DEVELOPMENT. CDISC management of PK data. Matteo Rossini Milan, 9 February 2010

Electronic Submission of Regulatory Information, and Creating an Electronic Platform for Enhanced Information Management

Metadata and ADaM.

ADaM Implications from the CDER Data Standards Common Issues and SDTM Amendment 1 Documents Sandra Minjoe, Octagon Research Solutions, Wayne, PA

A white paper presented by: Barry Cohen Director, Clinical Data Strategies Octagon Research Solutions, Inc. Wayne, PA

Challenges and Opportunities in Clinical Trial Data Processing

ADaM Supplement to the TAUG-Diabetes Version 1.0 (Draft)

STUDY DATA TECHNICAL CONFORMANCE GUIDE

Streamlining the Flow of Clinical Trial Data: EHR to EDC to Sponsor

How to build ADaM from SDTM: A real case study

Sample Script of an Initial Brief Alcohol Counseling Session

How to easily convert clinical data to CDISC SDTM

STUDY DATA TECHNICAL CONFORMANCE GUIDE

CDISC SDTM/ADaM Pilot Project 1 Project Report

Understanding CDISC Basics

End-to-End E-Clinical Coverage with Oracle Health Sciences InForm GTM

Analysis Data Model: Version 2.0

PhUSE Paper CD13

BRIEF INTERVENTION. For Hazardous and Harmful Drinking. Thomas F. Babor John C. Higgins-Biddle. A Manual for Use in Primary Care

Extracting the value of Standards: The Role of CDISC in a Pharmaceutical Research Strategy. Frank W. Rockhold, PhD* and Simon Bishop**

Automate Data Integration Processes for Pharmaceutical Data Warehouse

PharmaSUG Paper DS07

Bridging Statistical Analysis Plan and ADaM Datasets and Metadata for Submission

Clinical Data Acquisition Standards Harmonization: Basic Data Collection Fields for Case Report Forms

Alcohol and Opiates Disorders

My Choice. A workbook for making changes

Transcription:

Alcohol Use Disorder Identification Test Self-Report Version (AUDIT-SR) Questionnaire Supplement to the Study Data Tabulation Model Implementation Guide for Human Clinical Trials Prepared by TBI Standards Team and the CDISC COA Sub-team Notes to Readers This supplement is intended to be used with other CDISC User Guides for specific Therapeutic/Disease Areas and follows the CDISC Study Data Tabulation Model Implementation Guide for Human Clinical trials. Revision History Date Version Summary of Changes 2014-11-13 1.0 Alcohol Use Disorder Identification Test Self-Report Version (AUDIT-SR) Draft 2014-11-19 1.0 Alcohol Use Disorder Identification Test Self-Report Version (AUDIT-SR) 2014 Clinical Data Interchange Standards Consortium, Inc. All rights reserved Page 1

1 Introduction This document describes the CDISC implementation of the Alcohol Use Disorder Identification Test Self-Report Version (AUDIT-SR) questionnaire. The AUDIT-SR is a 10-item questionnaire that can help identify individuals who are hazardous drinkers or have alcohol use disorders (including alcohol abuse or dependence). The AUDIT-SR questionnaire preceded the CDISC CDASH CRF standards and based on its public domain status, cannot be modified to CDASH standards. The representation of data collected for this questionnaire is based on the Study Data Tabulation Model Implementation Guide (SDTMIG) QS domain model, which can be found at the CDISC website at: (http://www.cdisc.org/sdtm). These specific implementation details for this questionnaire are meant to be used in conjunction with the SDTMIG. All questionnaire documentation can be found on the CDISC web site at: (http://www.cdisc.org/content2909). The CDISC Intellectual Property Policy can be found on the CDISC web site at: (http://www.cdisc.org/bylaws-and-policies). 1.1 Representations and Warranties, Limitations of Liability, and Disclaimers This document is a supplement to the Study Data Tabulation Model Implementation Guide 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. 2 Copyright Status This instrument is in the public domain. CDISC has included the Alcohol Use Disorder Identification Test Self-Report Version as part of CDISC Data Standards. Hence, CDISC developed QSTESTCD and QSTEST for each question based on the actual question text on the questionnaire. There may be many versions of this instrument. CDISC has chosen to use this version as the data standard. The CDISC documentation of this instrument consists of: (1) controlled terminology, (2) standard database structure with examples, and (3) case report form annotated with the CDISC SDTMIG submission values. Note: CDISC controlled terminology is maintained by NCI EVS. The most recent version should be accessed through the CDISC website. (http://www.cdisc.org/terminology). CDISC acknowledges the World Health Organization and the authors of the scale: Saunders JB, Aasland, OG, Babor, TF, De La Fuente JR, Grant M. 2014 Clinical Data Interchange Standards Consortium, Inc. All rights reserved Page 2

References: Saunders JB, Aasland, OG, Babor, TF, De La Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with harmful Alcohol Consumption II. Addiction (1993) 88:791-804 3 The QS Domain Model 3.1 Assumptions for Questionnaire Domain Model All assumptions and business rules described in the SDTMIG QS domain are applicable to this supplement. Additional assumptions specific to the Alcohol Use Disorder Identification Test Self-Report Version (AUDIT-SR) questionnaire are listed below. Alcohol Use Disorder Identification Test Self-Report Version (AUDIT-SR): The AUDIT-SR consists of 10 multiple choice items. The first eight items are rated on a 5- point ordinal rating scale, though the precise meaning of each number on the scale is not the same for all questions. The remaining two questions are rated on a 3-point ordinal rating scale. This version of the questionnaire is completed by the patient. 1. For all AUDIT-SR questions, results have a description associated with a number (e.g. 2-3 times a week is associated with the number 3 ), QSORRES is populated with the text description. The associated number is represented in QSSTRESC and QSSTRESN. a. The response descriptions are unique for the first two items, the same for items 3 through 8, and the same for items 9 and 10. 2. The number of each response is totaled for all questions to achieve the Total score which is stored in QSORRES, QSSTRESC, and QSSTRESN when QSTESTCD = ADT0111. 3. Terminology: a. QSCAT, QSTESTCD and QSTEST are approved CDISC controlled terminology. b. A full list of value sets for qualifier and result fields is provided in Section 4: SDTM Mapping Strategy. 2014 Clinical Data Interchange Standards Consortium, Inc. All rights reserved Page 3

3.2 Example for Alcohol Use Disorders Identification Test Self-Report Version (AUDIT-SR) QS Domain Model The AUDIT-SR example below shows the terminology used to implement the questionnaire in the QS domain. This example shows the data for one subject collected at one visit for an AUDIT-SR questionnaire. The example uses CDISC controlled terminology for QSTESTCD, QSTEST, and QSCAT. QSBLFL is Y based on VISITNUM=1. All original results are represented with standard values in QSORRES. This result is then transformed into a standard numeric score in QSSTRESN and a character representation of the standard numeric score in QSSTRESC. Rows 1-10: Represent the questions from the AUDIT-SR CRF. Row 11: The total score for Subject P0001. qs.xpt Row STUDYID DOMAIN USUBJID QSSEQ QSTESTCD QSTEST QSCAT 1 STUDYX QS P0001 1 ADT0101 ADT01-How Often Drink Alcohol AUDIT-SR 2-3 times a week 3 3 2 STUDYX QS P0001 2 ADT0102 ADT01-Alcohol Drinks on a Typical Day AUDIT-SR 3 or 4 1 1 3 STUDYX QS P0001 3 ADT0103 ADT01-Six or More Drinks One Occasion AUDIT-SR Never 0 0 4 STUDYX QS P0001 4 ADT0104 ADT01-Not Able Stop Drinking Once Start AUDIT-SR Never 0 0 5 STUDYX QS P0001 5 ADT0105 ADT01-Failed to Do as Expected AUDIT-SR Monthly 2 2 6 STUDYX QS P0001 6 ADT0106 ADT01-Need Drink Morning After Drinking AUDIT-SR Weekly 3 3 7 STUDYX QS P0001 7 ADT0107 ADT01-Feeling of Guilt or Remorse AUDIT-SR Less than monthly 1 1 8 STUDYX QS P0001 8 ADT0108 ADT01-Unable to Remember What Happened AUDIT-SR Daily or almost daily 4 4 9 STUDYX QS P0001 9 ADT0109 ADT01-Injured Because of Your Drinking AUDIT-SR No 0 0 10 STUDYX QS P0001 10 ADT0110 ADT01-Suggested to Cut Down AUDIT-SR Yes, but not in the last year 2 2 11 STUDYX QS P0001 11 ADT0111 ADT01-Total AUDIT-SR 16 16 16 2014 Clinical Data Interchange Standards Consortium, Inc. All rights reserved Page 4

Row QSBLFL QSEVAL VISIT NUM QSDTC 1 (cont) Y STUDY SUBJECT 1 2014-04-14 2 (cont) Y STUDY SUBJECT 1 2014-04-14 3 (cont) Y STUDY SUBJECT 1 2014-04-14 4 (cont) Y STUDY SUBJECT 1 2014-04-14 5 (cont) Y STUDY SUBJECT 1 2014-04-14 6 (cont) Y STUDY SUBJECT 1 2014-04-14 7 (cont) Y STUDY SUBJECT 1 2014-04-14 8 (cont) Y STUDY SUBJECT 1 2014-04-14 9 (cont) Y STUDY SUBJECT 1 2014-04-14 10 (cont) Y STUDY SUBJECT 1 2014-04-14 11 (cont) Y STUDY SUBJECT 1 2014-04-14 2014 Clinical Data Interchange Standards Consortium, Inc. All rights reserved Page 5

4 SDTM Mapping Strategy AUDIT-SR specific mapping strategy: This section is used for reference with the annotated CRF for further details on the CRF data capture and to understand the alignment of the questionnaire to the SDTM QS domain. It also provides guidance on how the result variables (QSORRES, QSSTRESC, and QSSTRESN) should be populated for the questionnaire. QSTESTCD=ADT0101 QSTEST= ADT01-How Often Drink Alcohol Never 0 0 Monthly or less 1 1 2-4 times a month 2 2 2-3 times a week 3 3 4 or more times a week 4 4 QSTESTCD=ADT0102 QSTEST= ADT01-Drinks on a Typical Day 1 or 2 0 0 3 or 4 1 1 5 or 6 2 2 7 to 9 3 3 10 or more 4 4 QSTESTCD=ADT0103 QSTEST= ADT01-Six or More Drinks One Occasion QSTESTCD=ADT0104 QSTEST= ADT01-Not Able Stop Drinking Once Start QSTESTCD=ADT0105 QSTEST= ADT01-Failed to Do as Expected QSTESTCD=ADT0106 QSTEST= ADT01-Need Drink Morning After Drinking QSTESTCD=ADT0107 QSTEST= ADT01-Feeling of Guilt or Remorse QSTESTCD=ADT0108 QSTEST= ADT01-Unable to Remember What Happened Never 0 0 Less than monthly 1 1 Monthly 2 2 Weekly 3 3 Daily or Almost Daily 4 4 QSTESTCD=ADT0109 QSTEST= ADT01-Injured Because of Your Drinking QSTESTCD=ADT0110 QSTEST= ADT01-Suggested to Cut Down No 0 0 Yes, but not in the last year 2 2 Yes, during the last year 4 4 End of Document 2014 Clinical Data Interchange Standards Consortium, Inc. All rights reserved Page 6