Abstract
Task-shared mental health care programs in low-resource settings often incorporate supervisory structures that would be difficult to implement at scale, and many rely on foreign specialist experts as supervisors. Future programs could leverage peer supervision, technology, competency assessments/fidelity checklists, and other tools. Mental health care specialists will require training, support, and incentives to supervise generalist care providers.
Highlights
Mental disorders are the leading cause of years lived with disability globally.[1]
Few health systems in low- and middleincome countries (LMICs) can rely exclusively on specialists to deliver mental health interventions, nor can they afford to develop mental health programs in parallel to other services.[7]. They have to rely on existing cadres of health care workers and constrained financial resources to expand access for mental health services
In an effort to further describe and learn from models for supervision that have been developed for task-shared mental health services in lowresource settings, we interviewed key informants, including researchers, program managers, and clinicians
Summary
Mental disorders are the leading cause of years lived with disability globally.[1]. Yet in low- and middleincome countries (LMICs) and other low-resource settings, 75% of people in need of treatment for mental disorders never receive care.[2,3] Effective services that are feasible, scalable, and sustainable in the context of critical shortages of financial and human resources are needed to bridge this treatment gap.[4,5,6] Few health systems in LMICs can rely exclusively on specialists to deliver mental health interventions, nor can they afford to develop mental health programs in parallel to other services.[7]. Global Health: Science and Practice 2019 | Volume 7 | Number 2 improvements in patient health outcomes, even in settings with few available specialists.[9,10]
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