Mobile Based mhGAP-IG Depression Screening in Kenya

We aimed to determine the prevalence and determinants of depression using mobile based mental health Global Action Programme Intervention guide (mhGAP-IG) in remote health care settings where most priority mental health problems are managed by non-mental health specialists and evaluate the feasibili...

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Bibliographic Details
Published in:Community mental health journal 2018, Vol.54 (1), p.84-91
Main Authors: Musyimi, Christine W., Mutiso, Victoria N., Haji, Zahra R., Nandoya, Erick S., Ndetei, David M.
Format: Article
Language:English
Subjects:
Adult
Age Factors
Application
Community and Environmental Psychology
Comorbidity
Depression - diagnosis
Depression - epidemiology
Depression - etiology
Educational Status
Family medical history
Feasibility
Female
Health problems
Health services
Humans
Intervention
Kenya - epidemiology
Male
Marital Status
Mass Screening - methods
Medical screening
Medicine
Medicine & Public Health
Mental depression
Mental disorders
Mental Disorders - complications
Mental health
Mental health services
Mobile Applications
Older people
Original Paper
Patients
Prevalence
Psychiatry
Public health
Public health clinics
Random sampling
Risk Factors
Rural areas
Rural communities
Sex Factors
Specialists
Suicide
Tests
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Summary:We aimed to determine the prevalence and determinants of depression using mobile based mental health Global Action Programme Intervention guide (mhGAP-IG) in remote health care settings where most priority mental health problems are managed by non-mental health specialists and evaluate the feasibility of the application. Adult patients were recruited from four rural public health facilities in Kenya using systematic random sampling and screened for depression. There were no missing items since the application prevented saving of data unless all the items were answered. The prevalence of depression was 25% with suicidal behavior being the most significant comorbid problem. Older age, personal and a family history of a mental disorder were significantly correlated with depression. Exploring the use of health-related mobile applications in identification of priority mental health problems is useful notably in low-resource settings; and also forms a basis for prevention of mental disorders and intervention at acute stages.
ISSN:0010-3853
1573-2789
DOI:10.1007/s10597-016-0072-9