Evidence map›Paper›PMID 34312146›Full record

Trial reportBMJ global health2021

Why do strategies to strengthen primary health care succeed in some places and fail in others? Exploring local variation in the effectiveness of a community health worker managed digital health intervention in rural India.

Gill Schierhout, Devarsetty Praveen, Bindu Patel, Qiang Li, Kishor Mogulluru, Mohammed Abdul Ameer, Anushka Patel, Gari D Clifford, Rohina Joshi, Stephane Heritier and 2 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

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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

12 authors at 5 institutions in 3 countries.

Gill SchierhoutThe George Institute for Global Health, Newtown, New South Wales, Australia.ORCID 0000-0002-6399-7624
Devarsetty PraveenThe George Institute for Global Health India, Hyderabad, India dpraveen@georgeinstitute.org.in.
Bindu PatelThe George Institute for Global Health, Newtown, New South Wales, Australia.
Qiang LiThe George Institute for Global Health, Newtown, New South Wales, Australia.
Kishor MogulluruThe George Institute for Global Health India, New Delhi, Delhi, India.
Mohammed Abdul AmeerThe George Institute for Global Health India, Hyderberad, India.
Anushka PatelThe George Institute for Global Health, Newtown, New South Wales, Australia.
Gari D CliffordDepartment of Biomedical Informatics and Biomedical Engineering, Emory University, Atlanta, Georgia, USA.
Rohina JoshiThe George Institute for Global Health, Newtown, New South Wales, Australia.
Stephane HeritierMonash University, Clayton, Victoria, Australia.
Pallab MaulikUNSW, Sydney, New South Wales, Australia.
David PeirisThe George Institute for Global Health, Newtown, New South Wales, Australia.ORCID 0000-0002-6898-3870
UNSW Sydney · AUGeorge Institute for Global Health · INGeorgia Institute of Technology · USMonash University · AUThe George Institute for Global Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDigital health interventions (DHIs) have huge potential as support modalities to identify and manage cardiovascular disease (CVD) risk in resource-constrained settings, but studies assessing them show modest effects. This study aims to identify variation in outcomes and implementation of SMARTHealth India, a cluster randomised trial of an ASHA-managed digitally enabled primary healthcare (PHC) service strengthening strategy for CVD risk management, and to explain how and in what contexts the intervention was effective.

methodsWe analysed trial outcome and implementation data for 18 PHC centres and collected qualitative data via focus groups with ASHAs (n=14) and interviews with ASHAs, PHC facility doctors and fieldteam mangers (n=12) Drawing on principles of realist evaluation and an explanatory mixed-methods design we developed mechanism-based explanations for observed outcomes.

resultsThere was substantial between-cluster variation in the primary outcome (overall: I

conclusionLocal contextual factors were significant influences on the effectiveness of this DHI-enabled PHC service strategy intervention. Local adaptions need to be planned for, monitored and responded to over time. By identifying plausible explanations for variation in outcomes between clusters, we identify potential strategies to strengthen such interventions.

Indexed as

Community Health WorkersRural PopulationHumansIndiaPrimary Health Carecluster randomized trialhealth services researchhealth systems evaluationother study designprevention strategies

Identifiers

PMID34312146
PMCPMC8314716
OpenAlexW3183720791

What OpenQuestion holds

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LicenceCC BY-NC
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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.