Evidence map›Paper›PMID 36926503›Full record

ArticleFrontiers in health services2023

Incentivizing community health workers for scaling up mental health care in rural communities in India: A critical look at principles that work.

Mercian Daniel, Pallab K Maulik

Open access · diamondFull text read
In one paragraph

Article in Frontiers in health services, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

2 authors at 2 institutions in 3 countries.

Mercian DanielResearch, The George Institute for Global Health, New Delhi, India.
Pallab K MaulikResearch, The George Institute for Global Health, New Delhi, India.
George Institute for Global Health · INImperial College London · GB

Funding

Medical Research Council MR/S023224/1
6 · The paper itself

Abstract

Given the low availability of trained mental health professionals, there is evidence on task sharing where basic mental healthcare can be provided by trained community health workers (CHWs). A potential way to reduce the mental health care gap in rural and urban areas in India is to utilize the services of community health workers known as Accredited Social Health Activists (ASHAs). There is a paucity of literature that have evaluated incentivizing non-physician health workers (NPHWs) vis-à-vis maintaining a competent and motivated health workforce especially in the Asia and Pacific regions. The principles around what works and does not work in terms of a mix of incentive packages for CHWs, while providing for mental healthcare in rural areas have not been adequately evaluated. Moreover, performance-based incentives which are receiving increasing attention from health systems worldwide, though evidence on the effectiveness of these incentives in Pacific and Asian countries is limited. CHW programs that have shown to be effective rely on an interlinked incentive framework at the individual, community, and health system levels. Drawing learnings from the past eight years in implementing the SMART (systematic medical appraisal, referral and treatment) Mental Health Program in rural India, we critically examine some of the emerging principles in incentivizing ASHAs while scaling up mental healthcare in communities using a systems approach.

Indexed as

community health workers (CHW)developing countriesincentiveIndiamental health programsmental health services

Identifiers

PMID36926503
PMCPMC10012787
OpenAlexW4321459751

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read2
Read underepoch 390

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.