Psychometric properties of measures of substance use: a systematic review and meta-analysis of reliability, validity and diagnostic test accuracy

BMC Medical Research Methodology

卷:20

Poonam Patel¹  Foram Choksi¹  Brian Kang¹  Divya Subramanian¹  Glenn-Milo Santos²  Isabel Allen³  Steven Shoptaw⁴  Ryan R. Cook⁴  Danielle Horyniak⁵  Steffanie A. Strathdee⁵  Charlotte McCullagh⁶  Phillip Marotta⁶  Nabila El-Bassel⁶ 

[1] Center for Public Health Research, San Francisco Department of Public Health;

[2] Department of Community Health Systems, University of California San Francisco;

[3] Department of Epidemiology and Biostatistics, University of California San Francisco;

[4] Department of Family Medicine and Psychiatry and Biobehavioral Sciences, University of California Los Angeles;

[5] Division of Global Public Health, University of California San Diego;

[6] School of Social Work, Columbia University;

关键词: Substance use;    Alcohol;    Drugs;    Psychometric properties;    Meta-analysis;   

DOI  :  10.1186/s12874-020-00963-7

来源: DOAJ

【 摘 要 】

Abstract Background Synthesis of psychometric properties of substance use measures to identify patterns of use and substance use disorders remains limited. To address this gap, we sought to systematically evaluate the psychometric properties of measures to detect substance use and misuse. Methods We conducted a systematic review and meta-analysis of literature on measures of substance classes associated with HIV risk (heroin, methamphetamine, cocaine, ecstasy, alcohol) that were published in English before June 2016 that reported at least one of the following psychometric outcomes of interest: internal consistency (alpha), test-retest/inter-rater reliability (kappa), sensitivity, specificity, positive predictive value, and negative predictive value. We used meta-analytic techniques to generate pooled summary estimates for these outcomes using random effects and hierarchical logistic regression models. Results Findings across 387 paper revealed that overall, 65% of pooled estimates for alpha were in the range of fair-to-excellent; 44% of estimates for kappa were in the range of fair-to-excellent. In addition, 69, 97, 37 and 96% of pooled estimates for sensitivity, specificity, positive predictive value, and negative predictive value, respectively, were in the range of moderate-to-excellent. Conclusion We conclude that many substance use measures had pooled summary estimates that were at the fair/moderate-to-excellent range across different psychometric outcomes. Most scales were conducted in English, within the United States, highlighting the need to test and validate these measures in more diverse settings. Additionally, the majority of studies had high risk of bias, indicating a need for more studies with higher methodological quality.

【 授权许可】

Unknown