Depression among general outpatient department attendees in selected hospitals in Somalia: magnitude and associated factors.

ABSTRACT

BACKGROUND: Depressive disorders are among the common mental health conditions in the general outpatient setting and affect patients' load and treatment outcomes. People who suffer from depression frequently consult general practitioners and prefer to attribute their symptoms to physical illness rather than mental illness. Little is known about the magnitude and associated factors of depression among patients attending general outpatient services in Somalia. The study aimed at determining the prevalence and associated factors of depression among them. METHODS: This is an institution-based cross-sectional study among randomly selected 422 patients who attended general outpatient services of two hospitals in Mogadishu. We applied three standardized instruments, such as the Somali version of the Patient Health Questionnaire (PHQ-9), the Oslo Social Support Scale (OSSS-3), and the Perceived Stress Scale-10 (PSS-10). We analyzed data using the statistical software SPSS version 29. We calculated prevalence and its 95% Confidence Interval (CI) and identified associated factors by bivariate and Multivariate analysis. We considered the association significant when p value is < 0.05. RESULTS: The prevalence of depression symptoms was found to be 55% (95% CI 50-60%). The result also showed that 55.0% were females, 50.7% were aged between 26 and 44 years, 44.3% were single, 29.9% achieved tertiary education, and 44.3% were unemployed. Multivariate analysis established that age of between 26 and 44 years (aOR = 2.86, 95%CI1.30-6.29, p = 0.009), being separated/divorced (aOR = 2.37, 95%CI 1.16-4.82, p = 0.018), income level of ≤$100 (aOR = 3.71, 95% CI1.36-10.09, p = 0.010), and high stress levels (aOR = 20.06, 95%CI7.33-54.94, p < 0.001) were independent factors that significantly associated with depressive symptoms. CONCLUSION: This study found high levels of depression among patients attending outpatient clinics, with age, marital status, education level, income level, family history of psychiatry disorder, and stress level being key predictors. Regular screening among patients in outpatient clinics and proper referral are crucial in ensuring that those at high risk of depression are managed effectively.