The DOI matches its Crossref record; 147 of the 147 references it cites were found in a registry or an index.
Innovative Models in Mental Health Delivery Systems: Task Sharing Care with Non-specialist Providers to Close the Mental Health Treatment Gap
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. 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.
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“Task-sharing mental health interventions have been primarily implemented and evaluated in low- and middle-income countries (LMICs) [4], where the mental health treatment gap is most severe.”
In the citing paper
“In particular, defining elements of task-sharing (e.g., the types of task-sharing provider roles and the training and supervision models) have been specifically designed to be inherently beneficial and are demonstrated to be a strength of this approach [4].”
In the citing paper
“an effective approach to mitigating the shortage is training nonmental health professionals to deliver packages of mental health care in a collaborative, stepped-care, task-sharing approach (Patel et al., 2010; Padmanathan and De Silva, 2013; Raviola et al., 2019).”
From Integrating mental health into primary care in Nigeria: Implementation outcomes and clinical impact of the HAPPINESS intervention (2024) · cites this paper as Raviola et al., 2019
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Global Psychiatry and Mental Health in the Post-pandemic Period
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Metadata
- Authors
- Raviola, G., Naslund, J. A., Smith, S. L., & Patel, V.
- Affiliations
- Boston Children's Hospital (US)
- Harvard University (US)
- Brigham and Women's Hospital (US)
- Corresponding author
- Raviola, Giuseppe
- Venue
- Current Psychiatry Reports
- Published
- 2019-04-30
- Volume
- 21
- Issue
- 6
- Pages
- 44-44
- ISSN
- 1523-3812 (ISSN-L)
- 1535-1645
- OpenAlex
- W2942884758
- Semantic Scholar
- acbf64dd95205f6177638f16d4751bc4f39f6633
- Cited by
- 258
- References
- 147
- Citations by year
- 2026: 24 · 2025: 35 · 2024: 52 · 2023: 46 · 2022: 28 · 2021: 55 · 2020: 15 · 2019: 2
- FWCI
- 3.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Current Psychiatry Reports (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Social Sciences › Psychology › Clinical Psychology › Psychiatric care and mental health services
- Keywords
- task sharing, non-specialist providers, mental health treatment gap, access to mental health care, mental health workforce shortage, collaborative care, training and supervision, digital mental health tools, severe mental illness
- MeSH terms
- Mental Disorders, Community Health Workers, Health Personnel, Humans, Mental Health, Mental Health Services, Patient Care Team, Psychotherapy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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