Evidence map›Paper›PMID 31352917›Full record

ArticleBJPsych open2019

Delivering a complex mental health intervention in low-resource settings: lessons from the implementation of the PRIME mental healthcare plan in primary care in Sehore district, Madhya Pradesh, India.

Rahul Shidhaye, Vaibhav Murhar, Shital Muke, Ritu Shrivastava, Azaz Khan, Abhishek Singh, Erica Breuer

Abstract read
In one paragraph

Article in BJPsych open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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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

7 authors.

Rahul ShidhayeSenior Research Scientist and Associate Professor,Center for Chronic Conditions and Injuries, Public Health Foundation of India,India.ORCID https://orcid.org/0000-0001-9365-7164
Vaibhav MurharProject Director,PRIME,Sangath,India.
Shital MukeResearch Coordinator,PRIME,Sangath,India.
Ritu ShrivastavaResearcher,PRIME,Sangath,India.
Azaz KhanIntervention Coordinator, PRIME, Sangath,India.
Abhishek SinghResearch Coordinator,PRIME,Sangath,India.
Erica BreuerAlan J Flisher Centre for Public Mental Health,University of Cape Town,South Africa; andConjoint Lecturer,University of Newcastle,Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe PRogramme for Improving Mental health care (PRIME) designed, implemented and evaluated a comprehensive mental healthcare plan (MHCP) for Sehore district, Madhya Pradesh, India.AimsTo provide quantitative measures of outputs related to implementation processes, describe the role of contextual factors that facilitated and impeded implementation processes, and discuss what has been learned from the MHCP implementation.

methodA convergent parallel mixed-methods design was used. The quantitative strand consisted of process data on mental health indicators whereas the qualitative strand consisted of in-depth interviews and focus group discussions with key stakeholders involved in PRIME implementation.

resultsThe implementation of the MHCP in Sehore district in Madhya Pradesh, India, demonstrated that it is feasible to establish structures (for example Mann-Kaksha) and operationalise processes to integrate mental health services in a 'real-world' low-resource primary care setting. The key lessons can be summarised as: (a) clear 'process maps' of clinical interventions and implementation steps are helpful in monitoring/tracking the progress; (b) implementation support from an external team, in addition to training of service providers, is essential to provide clinical supervision and address the implementation barriers; (c) the enabling packages of the MHCP play a crucial role in strengthening the health system and improving the context/settings for implementation; and (d) engagement with key community stakeholders and incentives for community health workers are necessary to deliver services at the community-platform level.

conclusionsThe PRIME implementation model could be used to scale-up mental health services across India and similar low-resource settings.Declaration of interestNone.

Indexed as

alcohol disordersdepressive disorderslow and middle income countriesPrimary care

Identifiers

PMID31352917
PMCPMC6669881

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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.