| Literature DB >> 25833714 |
C Lund1, A Alem2, M Schneider1, C Hanlon2, J Ahrens3, C Bandawe3, J Bass4, A Bhana5, J Burns6, D Chibanda7, F Cowan7, T Davies1, M Dewey8, A Fekadu2, M Freeman9, S Honikman10, J Joska11, A Kagee12, R Mayston8, G Medhin13, S Musisi14, L Myer15, T Ntulo16, M Nyatsanza1, A Ofori-Atta17, I Petersen5, S Phakathi9, M Prince8, T Shibre18, D J Stein11, L Swartz12, G Thornicroft8, M Tomlinson12, L Wissow19, E Susser20.
Abstract
There is limited evidence on the acceptability, feasibility and cost-effectiveness of task-sharing interventions to narrow the treatment gap for mental disorders in sub-Saharan Africa. The purpose of this article is to describe the rationale, aims and methods of the Africa Focus on Intervention Research for Mental health (AFFIRM) collaborative research hub. AFFIRM is investigating strategies for narrowing the treatment gap for mental disorders in sub-Saharan Africa in four areas. First, it is assessing the feasibility, acceptability and cost-effectiveness of task-sharing interventions by conducting randomised controlled trials in Ethiopia and South Africa. The AFFIRM Task-sharing for the Care of Severe mental disorders (TaSCS) trial in Ethiopia aims to determine the acceptability, affordability, effectiveness and sustainability of mental health care for people with severe mental disorder delivered by trained and supervised non-specialist, primary health care workers compared with an existing psychiatric nurse-led service. The AFFIRM trial in South Africa aims to determine the cost-effectiveness of a task-sharing counselling intervention for maternal depression, delivered by non-specialist community health workers, and to examine factors influencing the implementation of the intervention and future scale up. Second, AFFIRM is building individual and institutional capacity for intervention research in sub-Saharan Africa by providing fellowship and mentorship programmes for candidates in Ethiopia, Ghana, Malawi, Uganda and Zimbabwe. Each year five Fellowships are awarded (one to each country) to attend the MPhil in Public Mental Health, a joint postgraduate programme at the University of Cape Town and Stellenbosch University. AFFIRM also offers short courses in intervention research, and supports PhD students attached to the trials in Ethiopia and South Africa. Third, AFFIRM is collaborating with other regional National Institute of Mental Health funded hubs in Latin America, sub-Saharan Africa and south Asia, by designing and executing shared research projects related to task-sharing and narrowing the treatment gap. Finally, it is establishing a network of collaboration between researchers, non-governmental organisations and government agencies that facilitates the translation of research knowledge into policy and practice. This article describes the developmental process of this multi-site approach, and provides a narrative of challenges and opportunities that have arisen during the early phases. Crucial to the long-term sustainability of this work is the nurturing and sustaining of partnerships between African mental health researchers, policy makers, practitioners and international collaborators.Entities:
Keywords: Mental health; multicultural; primary care; randomised controlled trials
Year: 2015 PMID: 25833714 PMCID: PMC4491538 DOI: 10.1017/S2045796015000281
Source DB: PubMed Journal: Epidemiol Psychiatr Sci ISSN: 2045-7960 Impact factor: 6.892
Fig. 1.Goal and aims of AFFIRM.
Main features of RCTs in Ethiopia and South Africa
| Ethiopia | South Africa | |
|---|---|---|
| Design | Individual randomised controlled non-inferiority trial | Individual RCT |
| Participants | Community-ascertained sample of persons with Severe Mental Disorders (DSM IV Schizophrenia, Bipolar Disorder and Major Depressive Disorder) ( | Women 18 years or older attending their first antenatal clinic visit and screened for depression using the EPDS ( |
| Intervention | Task-sharing of care of stabilised people with SMD to PHC | Structured manualised face-to-face counselling delivered over 6 sessions by CHWs under the supervision of a mental health specialist (clinical social worker) |
| Training | 10 days of training in mhGAP-IG packages (5 days of base course + 5 days of on the job training), delivered by project psychiatric nurse supported by project psychiatrist | 5 days of counselling training with ongoing weekly group supervision and monthly individual supervision from the mental health specialist |
| Control | Psychiatric nurse-led out-patient service in Butajira hospital | 3 monthly phone calls from a CHW who assesses the participant's mental health status, and provides information on available services |
| Fidelity measures | Post-training evaluations, observational measures of delivery of task shifted care and clinical records | |
| Primary effectiveness outcome measure | Symptom severity indicated by score on Brief Psychiatric Rating Scale – Expanded version (BPRS-E) at 12 months | Symptom severity indicated by score on an adapted 17-item Hamilton Depression Rating Scale at 3 months postnatal |
| Secondary outcome measures | • Functional impairment | • Depression symptoms |
| • Relapse | • Suicidality | |
| • Service receipt | • Functional impairment | |
| • Service satisfaction | • Food insecurity | |
| • Body mass index | • Service receipt | |
| • Side effects | • Social support | |
| • Medication adherence | • HIV status | |
| • Clinic attendance | • Alcohol use | |
| • Stigma | • Physical and emotional abuse | |
| • Restraint | • Obstetric and child outcome measures at 3 and 12 months postnatal follow-up assessments only. | |
| • Adverse events | ||
| • Adverse events | ||
| Timing of outcome assessments | Baseline, 12 and 18 months | Baseline, 1 month antenatal, 3 months postnatal, 12 months postnatal |
| Statistical analysis | Linear regression co-varying for baseline severity. Survival analysis for relapse. | Linear regression co-varying for baseline severity |
| Economic analysis | (1) Costs associated with delivering task-sharing, as well as the consequential impact on service use, will be analysed using multiple regression analysis (Bootstrap methods will be used if the residuals of the regression model are non-normally distributed). (2) Further regression models will include the main clinical measures so that the relationship between costs and outcomes can be assessed. (3) Incremental cost effectiveness ratios, e.g., cost per Disability Adjusted Life Year saved, will be conducted. | |