Psychometric Evaluation of Screens for Common Mental Disorders, Severe Mental Disorders, Substance Use Disorders, and Suicide Risk in Mozambican Healthcare.

Journal: Medical research archives

Volume: 12

Issue: 8

Year of Publication: 

Affiliated Institutions:  Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, USA. Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA. Program on Forced Migration and Health, Heilbrunn Department of Population and Family Health, Columbia University Mailman School of Public Health, New York, USA. Department of Population Health, Grossman School of Medicine, New York University. Department of Mental Health, Ministry of Health, Maputo, Mozambique. Department of Psychiatry, New York State Psychiatric Institute and Columbia University Vagelos College of Physicians and Surgeons, New York, USA.

Abstract summary 

Globally, mental and substance use disorders are a leading cause of disease burden. In low- and middle-income countries, where there is an extreme shortage of trained mental health specialists, validated, brief screening tools for mental and substance use disorders are required for non-specialists to efficiently identify patients in need of mental health care. Mozambique, one of the poorest countries in the world, has fewer than two mental health specialists for every 100,000 people. In the present study, we evaluated a comprehensive set of seven measures for depression, anxiety, somatization, alcohol use disorder, substance use disorder, psychosis and mania, and suicide risk among N=911 Mozambican adults in general healthcare settings. All instruments demonstrated acceptable internal consistency (α > 0.75). Compared to diagnoses made by the Mini International Neuropsychiatric Interview, all measures showed good criterion validity (AUC > 0.75), except the Psychosis Screening Questionnaire, which showed low sensitivity (0.58) for psychotic disorder. No substantial differences were observed in internal consistency when stratifying by gender, age, education level, primary language, facility-type, and patient status; criterion validity showed some variability when stratified by sub-population, particularly for education, primary language, and whether the participant was seeking care that day. Exploratory factor analyses indicated that the measures best differentiate categories of diagnoses (common mental disorder, severe mental disorders, substance use disorders, and suicide risk) rather than individual diagnoses, suggesting the utility of a transdiagnostic approach. Our findings support the use of these measures in Mozambique to identify common mental disorders, substance use disorders, and suicide risk, but indicate further research is needed to develop an adequate screen for severe mental disorders. Given the limited mental health specialists in this and other LMIC settings, these brief measures can support non-specialist provision of mental health services and promote closure of the treatment gap.

Authors & Co-authors:  Lovero Kathryn L KL Stockton Melissa A MA Greene M Claire MC Basaraba Cale C Khan Saida S Mabunda Dirceu D Mandlate Flavio F Gouveia Lidia L Fumo Wilza W Wall Melanie M MM Duarte Cristiane S CS Oquendo Maria A MA Wainberg Milton L ML

Study Outcome 

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Statistics
Citations :  Whiteford HA, Degenhardt L, Rehm J, et al. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. The Lancet. 2013;382(9904):1575–1586.
Authors :  13
Identifiers
Doi : 10.18103/mra.v12i8.5294
SSN : 2375-1916
Study Population
Male,Female
Mesh Terms
Other Terms
Study Design
Exploratory Study
Study Approach
Country of Study
Mozambique
Publication Country
United States