Content area

Abstract

Purpose of Review

Most people do not have access to adequate mental health care, and lack of skilled human resources is a major factor. We provide a narrative review of approaches to implementing task sharing—engaging non-specialist providers—to deliver mental health care.

Recent Findings

There is strong evidence both for the effectiveness of task sharing as a means of delivering care for a range of conditions across settings and for the effectiveness of non-specialist providers and health workers in delivering elements of culturally adapted psychosocial and psychological interventions for common and severe mental disorders. Key approaches to facilitate task sharing of care include balanced care, collaborative care, sustained training and supervision, use of trans-diagnostic interventions based on a dimensional approach to wellness and illness, and the use of emerging digital technologies.

Summary

Non-specialist providers and health workers are well positioned to deliver evidence-based interventions for mental disorders, and a variety of delivery approaches can support, facilitate, and sustain this innovation. These approaches should be used, and evaluated, to increase access to mental health services.

Details

Title
Innovative Models in Mental Health Delivery Systems: Task Sharing Care with Non-specialist Providers to Close the Mental Health Treatment Gap
Author
Raviola Giuseppe 1 ; Naslund, John A 2 ; Smith, Stephanie L 3 ; Patel, Vikram 2 

 Harvard Medical School, Department of Global Health and Social Medicine, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Boston Children’s Hospital, Department of Psychiatry, Boston, USA (GRID:grid.2515.3) (ISNI:0000 0004 0378 8438) 
 Harvard Medical School, Department of Global Health and Social Medicine, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X) 
 Brigham and Women’s Hospital, Department of Psychiatry, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294) 
Publication year
2019
Publication date
Jun 2019
Publisher
Springer Nature B.V.
ISSN
15233812
e-ISSN
15351645
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2422903499
Copyright
© Springer Science+Business Media, LLC, part of Springer Nature 2019.