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

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.

SUBMITTER: Santos GM

PROVIDER: S-EPMC7203822 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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

Santos Glenn-Milo GM Strathdee Steffanie A SA El-Bassel Nabila N Patel Poonam P Subramanian Divya D Horyniak Danielle D Cook Ryan R RR McCullagh Charlotte C Marotta Phillip P Choksi Foram F Kang Brian B Allen Isabel I Shoptaw Steven S

BMC medical research methodology 20200507 1

<h4>Background</h4>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.<h4>Methods</h4>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 ...[more]

PMID: 32380951

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Project description:AimThe objective of this study was to evaluate the Chinese version of the Smartphone Distraction Scale (C-SDS), which is an easy-to-use tool for screening the risk of smartphone distraction in Chinese college students.MethodsThe C-SDS, Smartphone Addiction Scale - Short Version (SAS-SV), Fear of Missing Out scale (FoMO) and Metacognition about Smartphone Use Questionnaire (MSUQ) were used in a sample of 1,002 Chinese college students to test smartphone distraction and its influencing factors. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed to test measurement properties and factor structures of the C-SDS. Multi-variable linear regressions examined the relationships of sex, age, education level, the purpose of using a smartphone, usage of smartphone (hours per day), fear of missing out, smartphone addiction and positive and negative metacognitions about smartphone use with the C-SDS.ResultsThe EFA showed a 3-factor structure, which consisted of attention impulsiveness, multitasking and emotion regulation. The CFA showed that the 3-factor demonstrated an overall better model fit (RMSEA = 0.07, SRMR = 0.05, CFI = 0.94, TLI = 0.93). The C-SDS showed internal consistency (Cronbach's α = 0.88, McDonald's Omega ω = 0.88). Findings included that negative metacognition about smartphone use was most correlated with the C-SDS (b = 0.73; p < 0.001). Smartphone addiction, positive metacognition about smartphone use and fear of missing out also correlated with the C-SDS (b = 0.66, p < 0.001; b = 0.53, p < 0.001; b = 0.40, p < 0.001, respectively). The study shows that males compared to females (b = -1.65; p = 0.003), had a higher C-SDS score.ConclusionThe C-SDS was valid and reliable for assessing the distraction of using smartphones in the Chinese context. Being female, the purpose of using a smartphone, smartphone usage (hours per day), fear of missing out, smartphone addiction and positive and negative metacognitions about smartphone use were positively correlated to the C-SDS.

Dataset Information

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

Publications

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

Similar Datasets

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