Mobile mental health application use, and app feature preferences among individuals with mental disorders in Ethiopia: A cross-sectional survey

Abstract

BackgroundMobile health applications have been shown to assist in the treatment of mental illnesses, yet their potential remains underutilized. As supportive care, mental health applications use may be useful tools in improving mental health literacy and treatment outcomes, but patients’ use of and interest in using these apps have not been studied in low-income countries like Ethiopia. This study explores the determinants of patients’ mental health app use interests and app feature preferences. MethodsA cross-sectional study was conducted with 419 outpatient individuals with mental health disorders at Amanuel Mental Specialized Hospital, Ethiopia, between October and November 2023, using a convenience sampling method. Patients’ self-reported mental health app use, interests, attitudes, and app feature preferences were collected. A multivariate logistic regression model was used to identify the associated factors. ResultsOverall prevalence of not interested, somewhat interested, interested, and extremely interested in mental health app use was 5.3 %, 16.9 %, 27.7 %, and 50.1 % respectively. The proportion of current mental health apps use was low (21.2 %). Current mental health app use is associated with living in an urban area (AOR = 6.69, CI: 3.19–14) and having a higher education level (4.12 (2.02–8.04). Furthermore, app features such as psychoeducation, symptom tracking, and self-management techniques ranked as the most preferred app features. ConclusionsMost study participants were interested in using mental health apps, but only about one in four were using mental health apps. This suggests promise for their utility in the Ethiopian context. App developers and policymakers should consider rural residents’, lower educational levels, and patient app preferences when developing these applications.