SEARCHCROSS-SECTIONALpublic health, epidemiology

cross-sectional·public health, epidemiology, psychiatry, family medicine, internal medicine·PMC10631671

Clinical evaluation of the alcohol use disorders identification test (AUDIT) in Moshi, Tanzania

PLOS ONE · 14 authors, 9 centres

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TL;DR

It found the tool has good psychometric properties and identified an optimal cut-off score of 8 for identifying harmful or hazardous drinking.

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Methods included Confirmatory Factor Analysis, reliability measures (Cronbach’s alpha, Omega), and Receiver Operating Characteristic (ROC) curve analysis. The median AUDIT score was 1, with factor loadings ranging from 0.420 to 0.873 and reliability values above 0.70. The study identified an optimal cut-off score of 8 for harmful/hazardous drinking. Limitations include the use of Swahili (not all local languages), the non-representative sample, and the tool's potential lower specificity for identifying high-risk alcohol use and women. The findings support the AUDIT's validity for use in this setting, but further research with diverse and representative samples is needed.

STUDY TYPE

cross-sectional

SPECIALTY

public health

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AI pipeline

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100% · A

ORIGINAL PAPER

PMC10631671

Clinical evaluation of the alcohol use disorders identification test (AUDIT) in Moshi, Tanzania

PLOS ONE

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ABSTRACT

Background Alcohol use disorder is a major cause of morbidity and mortality in low- and middle-income countries. Alcohol screening using a validated tool is a useful way to capture high-risk patients and engage them in early harm reduction interventions. Our objectives were to 1) evaluate the psychometric evidence the Alcohol Use Disorders Identification Test (AUDIT) and its subscales in the general population of Moshi, Tanzania, and 2) evaluate the usefulness of the tool at predicting alcohol-related harms. Methods Two hundred and fifty-nine adults living in Moshi, Tanzania were included in the study. We used the AUDIT and its subscales to determine the classification of harmful and hazardous drinking. To analyze the internal structure of AUDIT and the model adequacy we used Confirmatory Factor Analysis (CFA). The reliability of AUDIT was analyzed for Cronbach’s alpha, Omega 6 and Composite Reliability. The optimal cut off point for the AUDIT was determined by the receiver operating characteristic (ROC) curve, using the Youden approach to maximize sensitivity and specificity. Results The median score of the AUDIT was 1 (inter-quartile range: 0–7). The internal structure of the AUDIT showed factor loadings ranging from 0.420 to 0.873. Cronbach’s alpha, Omega and Composite Reliability produced values above 0.70. The Average Variance Extracted was 0.530. For the AUDIT, a score of 8 was identified as the ideal cut-off value in our population. Conclusions This study validates AUDIT in the general population of Moshi and is one of the only studies in Africa to include measures of the internal structure of the AUDIT and its subscales.

CITATION EXPORT

Joao Ricardo Nickenig Vissoci, Kaitlyn Friedman, Nayara Malheiros Caruzzo et al.. Clinical evaluation of the alcohol use disorders identification test (AUDIT) in Moshi, Tanzania. PLOS ONE. (2023). https://doi.org/10.1371/journal.pone.0287835

AUTHORS

14 · 9 CENTRES

Joao Ricardo Nickenig Vissoci, Kaitlyn Friedman, Nayara Malheiros Caruzzo, Leonardo Pestillo de Oliveira, Alena Pauley, Siddhesh Zadey, Vanessa Menegassi, Francis Sakita, Judith Boshe, Catherine A. Staton, Blandina Mmbaga, Sebsibe Tadesse, Sebsibe Tadesse, Sebsibe Tadesse

1 Duke Global Health Institute, Duke University, Durham, NC, United States of America
2 Duke Emergency Medicine, Duke University Medical Center, Durham, NC, United States of America
3 Global Emergency Medicine Innovation and Implementation (GEMINI) Research Center, Duke University Durham, NC, United States of America
4 State University of Maringá, Maringá, Paraná, Brazil
5 Cesumar Institute for Science, Technology and Innovation, Unicesumar, Maringá, Paraná, Brazil
6 Kilimanjaro Christian Medical Centre, Moshi, Tanzania
7 Kilimanjaro Clinical Research Institute, Moshi, Tanzania
8 Kilimanjaro Christian Medical University College, Moshi, Tanzania
Ethiopian Public Health Institute, ETHIOPIA

EDITOR / REVIEWER

Sebsibe Tadesse