Evidence map›Paper›PMID 40833946›Full record

ArticlePloS one2025

Healthcare access and socio-demographic determinants of estimated 10-year risk of cardiovascular diseases in Indonesia: A population-based study.

Sujarwoto Sujarwoto, Asri Maharani, Devarsetty Praveen, Anna Palagyi, Prem S G Kumar, Seye Abimbola, Gindo Tampubolon, Anushka Patel

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Article in PloS one, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Sujarwoto SujarwotoDepartment of Public Administration, University of Brawijaya, Malang, Indonesia.ORCID https://orcid.org/0000-0003-4197-4592
Asri MaharaniDivision of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester Academic Health Science Centre (MAHSC), Manchester, United Kingdom.ORCID https://orcid.org/0000-0002-5931-8692
Devarsetty PraveenThe George Institute for Global Health, India, Hyderabad, India.
Anna PalagyiThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Prem S G KumarThe George Institute for Global Health, India, Hyderabad, India.ORCID https://orcid.org/0000-0001-5632-4862
Seye AbimbolaThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Gindo TampubolonGlobal Development Institute, University of Manchester, Manchester, United Kingdom.
Anushka PatelThe George Institute for Global Health, University of New South Wales, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular diseases (CVDs) are the leading cause of morbidity and mortality in Indonesia. Despite the importance of identifying individuals at high risk of CVDs for Indonesian health planners in designing effective intervention strategies, the CVD situation in the country has not been well-documented. This study aimed to estimate the distribution of the estimated 10-year risk of CVD and the associated socio-demographic factors and healthcare access in Indonesia.

methodsThis study was a community-based study in which the data were collected using interviews and the taking of physical measurements of 903,130 adults aged 40 years and older in 390 villages in Malang District, East Java Province, Indonesia, from January 2020 to February 2024. The estimated 10-year risk of CVD was calculated based on the World Health Organization/International Society of Hypertension's region-specific charts for the Southeast Asia Region (SEAR B). We performed multilevel logistic regression modelling to examine the associations between individual and healthcare provider densities and the estimated 10-year risk of CVD, as well as receiving optimal preventive treatment, defined as at least one blood pressure-lowering drug and a statin for all high-risk individuals, and an antiplatelet drug for those with prior diagnosed CVD.

resultsAmong 903,130 participants, 169,758 (18.8%; 95% Confidence Intervals 18.7% - 18.9%) had high cardiovascular risk. The proportion of high CVD risk was greater (<0.001) in urban (19.6%) than in rural areas (18.3%). Only 25.7% of all the respondents with high CVD risk received optimal preventive treatment, with high-risk males who live in urban areas showing better treatment. The availability of community-based health care (Posbindu), medical doctor at primary healthcare, nurses, and health insurance were associated with lower odds of having high CVD risk.

conclusionAround one-fifth of the population aged 40+ in Malang District, Indonesia is estimated to have high 10-year CVD risks, as assessed by the WHO/ISH risk prediction charts, and three-quarters of those with high risk did not receive optimal preventive treatment. Ensuring that individuals with high CVD risk get the optimal treatment is important, especially in low- and middle-income countries. The accessibility of preventive care is vital in primary care to address the sex and geographical gap of CVD risk management.

Indexed as

Cardiovascular DiseasesHealth Services AccessibilityAdultAgedFemaleHumansIndonesiaMaleMiddle AgedRisk FactorsSocioeconomic Factors

Identifiers

PMID40833946
PMCPMC12367158

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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 Socratic graph.