Mobile based MHGAP-IG depression screening in Kenya

Abstract

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.