Background In sub-Saharan Africa the treatment gap for mental disorders is high. In 2009, 98.0% of people with mental illness in Sierra Leone were not receiving treatment, partly due to the absence of public psychiatric facilities outside the capital. In response, the Ministry of Health and Sanitation rolled out nurse-led mental health units (MHU) to every district. This study aims to retrospectively evaluate the uptake of these services by examining the pathways to care, diagnosis, management, and treatment gap, to provide insight into the functioning of these units and the potential burden of mental health disorders in Sierra Leone. Methods We evaluated the roll out of MHU using summary data from all units between 1 st January 2015 and 1 st January 2017, to establish the burden of diagnoses among service users, pathways to care, treatments provided, and treatment gaps. Negative binomial regressions examine bivariate relationships between diagnoses, treatments, and medication inaccessibility with demographics (age and sex), location (Freetown vs the rest and Ebola endemic regions vs the rest) and year. Results We collected data from 15 MHU covering 13 districts in 24 months. There were 2401 referrals. The largest age category was 25–34 (23.4%). The prominent diagnoses were epilepsy (43.5%, associated with children) and psychosis (17.5%, associated with males). Reported depression (8.6%) and suicide attempts (33 patients) were low. Ebola endemic regions reported higher rates of grief, trauma, and medically unexplained symptoms. In 24.7% of cases where medication was required, it was not accessible. Conclusions Nurse-led MHU can have a modest effect on the treatment gap in resource constrained environments such as Sierra Leone, particularly in epilepsy and psychosis.

Résumé Ce document démontre comment l'effet des ménages sur l'utilisation de la santé maternelle change avec les transformations sociales (transitions politiques et économiques) en Tanzanie. Les données d'Enquêtes Démographiques de Santé (EDS) et des régressions logistiques multiniveaux indiquent comment la richesse des ménages sur l'utilisation des services d'accouchement (contrôle des attributs individuels

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