Evidence map›Paper›PMID 36568763›Full record

ReviewFrontiers in public health2022

Scaling up community-delivered mental health support and care: A landscape analysis.

Saher Siddiqui, Angelika Morris, Daniel J Ikeda, Satchit Balsari, Laura Blanke, Miriam Pearsall, Roxanna Rodriguez, Shekhar Saxena, Benjamin F Miller, Vikram Patel and 1 more

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  4. Article
  5. Evidence from Darjeeling to support "Education as Mental Health Therapy" (Ed-MH) as an emerging therapy modality.Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists · 2026
    Article
  6. Transforming public mental health: a review on global trends, challenges, and pathways to change.Health care analysis : HCA : journal of health philosophy and policy · 2026
    Review
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  8. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Saher SiddiquiHarvard University, Cambridge, MA, United States.
Angelika MorrisDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA, United States.
Daniel J IkedaHarvard Medical School, Boston, MA, United States.
Satchit BalsariDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.
Laura BlankeWell Being Trust, Oakland, CA, United States.
Miriam PearsallWell Being Trust, Oakland, CA, United States.
Roxanna RodriguezWell Being Trust, Oakland, CA, United States.
Shekhar SaxenaDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Benjamin F MillerWell Being Trust, Oakland, CA, United States.
Vikram PatelDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA, United States.
John A NaslundDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The mental health crisis has caused widespread suffering and has been further exacerbated by the COVID-19 pandemic. Marginalized groups are especially affected, with many concerns rooted in social determinants of mental health. To stem this tide of suffering, consideration of approaches outside the traditional biomedical model will be necessary. Drawing from task-sharing models of mental health care that have been pioneered in low-resource settings, community-initiated care (CIC) represents a potentially promising collection of approaches. This landscape analysis seeks to identify examples of CIC that have been implemented outside of the research context, with the aim of identifying barriers and facilitators of scale up. Methods: A narrative review approach was used for this landscape analysis in which the PubMed database was searched and further supplemented with Google Scholar. Promising programs were then discussed over multiple rounds of meetings with the research team, consisting of collaborators with varied experiences in mental health. Using the selection criteria and feedback derived from group meetings, a final list of programs was identified and summarized according to common characteristics and features. Results: The initial PubMed search yielded 16 results, supplemented by review of the first 100 entries in Google Scholar. Through 5 follow-up meetings among team members, consensus was reached on a final list of 9 programs, which were grouped into three categories based on similar themes and topics: (1) approaches for the delivery of psychosocial interventions; (2) public health and integrative approaches to mental health; and (3) approaches for addressing youth mental health. Key facilitators to scale up included the importance of sustainable financing and human resources, addressing social determinants and stigma, engaging diverse stakeholders, leveraging existing health infrastructure, using sustainable training models, ensuring cultural relevance and appropriateness, and leveraging digital technologies. Discussion: This landscape analysis, though not an exhaustive summary of the literature, describes promising examples of efforts to scale up CIC outside of the research context. Going forward, it will be necessary to mobilize stakeholders at the community, health system, and government levels to effectively promote CIC.

Indexed as

COVID-19Mental HealthAdolescentHumansPandemicscommunity health workercommunity initiated carelay health workermental healthsocial determinantstask sharing

Identifiers

PMID36568763
PMCPMC9773996

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.