Stability of the alcohol use disorders identification test in practical service settings
Autor: | Ethan Sahker, Donna A Lancianese, Stephan Arndt |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
Service (business) medicine.medical_specialty Substance Abuse and Rehabilitation Alcohol Use Disorders Identification Test Intraclass correlation business.industry heavy drinking Context (language use) Audit alcohol use SBIRT Confidence interval 03 medical and health sciences 030104 developmental biology service data medicine Physical therapy Observational study measurement Brief intervention Psychiatry business Original Research |
Zdroj: | Substance Abuse and Rehabilitation |
ISSN: | 1179-8467 |
Popis: | Ethan Sahker,1,2 Donna A Lancianese,1 Stephan Arndt1,3,4 1Iowa Consortium for Substance Abuse Research and Evaluation, 2Counseling Psychology Program, Department of Psychological and Quantitative Foundations, College of Education, 3Department of Psychiatry, Carver College of Medicine, 4Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA Objective: The purpose of the present study is to explore the stability of the Alcohol Use Disorders Identification Test (AUDIT) in a clinical setting by comparing prescreening heavy drinking questions and AUDIT scores over time. Because instrument stability is equal to test–retest reliability at worst, investigating the stability of the AUDIT would help better understand patient behavior change in context and the appropriateness of the AUDIT in a clinical setting.Methods: This was a retrospective exploratory analysis of Visit 1 to Visit 2 AUDIT stability (n=1,099; male [75.4%], female [24.6%]) from all patients with first-time and second-time records in the Iowa Screening, Brief Intervention, and Referral to Treatment project, October 2012 to July 7, 2015 (N=17,699; male [40.6%], female [59.4%]).Results: The AUDIT demonstrated moderate stability (intraclass correlation=0.56, 95% confidence interval: 0.52–0.60). In a multiple regression predicting the (absolute) difference between the two AUDIT scores, the participants’ age was highly significant, t(1,092)=6.23, p |
Databáze: | OpenAIRE |
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