A quality improvement approach to scaling up a complex health system intervention for the prevention and management of cardiovascular disease in rural Indonesia
Dados Bibliográficos
| ID | 19593716 |
|---|---|
| Autores | Thomas Gadsden (0000-0002-9371-420X, UNSW Sydney, autor correspondente), Sujarwoto (0000-0003-4197-4592, University of Brawijaya, autor correspondente), Sekar Aqila Salsabilla (0009-0003-4215-6089, University of Brawijaya, autor correspondente), Asri Maharani (0000-0002-5931-8692, Manchester Academic Health Science Centre, autor correspondente), Devarsetty Praveen (0000-0002-0973-943X, UNSW Sydney, autor correspondente), Gindo Tampubolon (0000-0002-9081-2349, University of Manchester, autor correspondente), Seye Abimbola (0000-0003-1294-3850, The University of Sydney, autor correspondente), Anushka Patel (0000-0003-3825-4092, UNSW Sydney, autor correspondente), Anna Palagyi (0000-0002-8127-9351, UNSW Sydney, autor correspondente) |
| Editores | Collins Otieno Asweto (0000-0003-3514-9836) |
| Ano | 2025 |
| Volume | 5 |
| Fascículo | 12 |
| Páginas | e0005577 |
| Data de publicação | 2025-12-04 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | PLOS Global Public Health (JOURNAL) |
| Identificadores do periódico | ISSN: 2767-3375 • E-ISSN: 2767-3375 |
| Editora | Public Library of Science (PLoS) (PUBLISHER) |
| DOI | 10.1371/journal.pgph.0005577 |
| PMID | 41343592 |
| OpenAlex | W4417003873 |
| Idioma | EN |
| Referências citadas | 24 |
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
Community engagement · Community health · Focus group · Implementation research · PDCA · Psychological intervention · Public health · Quality management · Health Policy Implementation Science · Health Promotion and Cardiovascular Prevention · Primary Care and Health Outcomes
Systematic review of the application of the plan–do–study–act method to improve quality in healthcare
A guide to systems-level, participatory, theory-informed implementation research in global health
Barriers to and enablers of quality improvement in primary health care in low- and middle-income countries
Cost-effectiveness of a mobile technology-enabled primary care intervention for cardiovascular disease risk management in rural Indonesia
Factors influencing the scale-up of public health interventions in low- and middle-income countries
How people-centred health systems can reach the grassroots
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |