Evidence map›Paper›PMID 41343592›Full record

ArticlePLOS global public health2025

A quality improvement approach to scaling up a complex health system intervention for the prevention and management of cardiovascular disease in rural Indonesia.

Thomas Gadsden, Sujarwoto Sujarwoto, Sekar Aqila Salsabilla, Asri Maharani, Devarsetty Praveen, Gindo Tampubolon, Seye Abimbola, Anushka Patel, Anna Palagyi

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Thomas GadsdenThe George Institute for Global Health, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0002-9371-420X
Sujarwoto SujarwotoDepartment of Public Administration, University of Brawijaya, Malang, Indonesia.ORCID https://orcid.org/0000-0003-4197-4592
Sekar Aqila SalsabillaDepartment of Public Administration, University of Brawijaya, Malang, Indonesia.
Asri MaharaniDivision of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester Academic Health Science Centre (MAHSC), Manchester, United Kingdom.
Devarsetty PraveenFaculty of Medicine, University of New South Wales, Sydney, Australia.
Gindo TampubolonGlobal Development Institute, University of Manchester, Manchester, United Kingdom.
Seye AbimbolaThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Anushka PatelThe George Institute for Global Health, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0003-3825-4092
Anna PalagyiThe George Institute for Global Health, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0002-8127-9351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scaling up effective public health interventions is crucial for achieving universal health coverage, yet remains challenging. We report the use of the Plan-Do-Study-Act (PDSA) quality improvement model to support the iterative scale-up of a community-based cardiovascular disease risk management program in Malang District, East Java, Indonesia. A pragmatic implementation study comprising three PDSA cycles was conducted in 10 'test of scale-up' villages between April 2021 and December 2022. Each cycle included: 1) the capture of quantitative outcomes, such as the number of new community members screened per month and diagnostic summaries with predicted risk status; and 2) semi-structured interviews and focus group discussions with health care workers, community members, and community health workers in each village to assess acceptability, adoption, adaptations and perceived effectiveness. Based on identified implementation barriers, local Technical Working Groups designed change strategies, which were implemented and evaluated in subsequent cycles. The COVID-19 pandemic disrupted program delivery in the first two PDSA cycles, reducing screening to an average of 112 and 7, respectively. In cycle 3, 463 community members were screened. Across the 10 participating villages, 42 interviews and 30 focus group discussions were conducted per PDSA cycle. Key barriers included difficulty reaching male community members, inadequate resourcing, limited essential medications and poor integration with existing health information systems. Change strategies included centralising screening activities, leveraging instant messaging platforms, additional activities to engage men and streamlined procurement processes. Each village demonstrated versatility in addressing implementation challenges. These findings highlight the utility of the PDSA model in supporting the iterative scale-up of a community-based cardiovascular disease risk management programs in real-world settings, even amid significant disruptions such as the COVID-19 pandemic.

Identifiers

PMID41343592
PMCPMC12677765

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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.