Evidence map›Paper›PMID 31461123›Full record

ArticleJAMA cardiology2019

Association of Multifaceted Mobile Technology-Enabled Primary Care Intervention With Cardiovascular Disease Risk Management in Rural Indonesia.

Anushka Patel, Devarsetty Praveen, Asri Maharani, Delvac Oceandy, Quentin Pilard, Mohan P S Kohli, Sujarwoto Sujarwoto, Gindo Tampubolon

Registry-linked trialOpen access · bronzeAbstract readMulticenter Study
In one paragraph

Article in JAMA cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06819839 (Impact of a Community Health Worker Care Model to Reduce Cardiovascular Disease Risk Among Conflict-affected Populations in Eastern Myanmar), which is not on this map. Cited by 56 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 6 pooled it
7.1field-weighted citation impact, top 2% 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.

NCT06819839 nacompletednot on this mapstarted 2024, after this paper: background citation

Impact of a Community Health Worker Care Model to Reduce Cardiovascular Disease Risk Among Conflict-affected Populations in Eastern Myanmar: a Cluster Randomized Controlled Trial (cRCT)

TypeinterventionalSponsorCommunity Partners InternationalRan2024 to 2025Enrolled213ConditionsCardiovascular Diseases, Hypertension, DiabetesArmsVillage Health Worker (VHW) Care Model
3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 6 syntheses or guidelines pooled it, 102 citations in OpenAlex.

  1. Smartphone application-based interventions for cardiometabolic risk factor management: A systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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  3. Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
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  9. Cardiovascular-Kidney-Metabolic Syndrome: Models of Care.Reviews in cardiovascular medicine · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 4 countries.

Anushka PatelThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Devarsetty PraveenThe George Institute for Global Health, University of New South Wales, Hyderabad, India.
Asri MaharaniDivision of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
Delvac OceandyDivision of Cardiovascular Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom.
Quentin PilardThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Mohan P S KohliIndependent Public Health Consultant, New Delhi, India.
Sujarwoto SujarwotoDepartment of Public Administration, University of Brawijaya, Malang, Indonesia.
Gindo TampubolonGlobal Development Institute, The University of Manchester, Manchester, United Kingdom.
University of Manchester · GBGeorge Institute for Global Health · INManchester Academic Health Science Centre · GBThe George Institute for Global Health · AUUniversity of Brawijaya · IDUNSW Sydney · AU

Funding

British Heart Foundation PG/17/78/33304British Heart Foundation PG/18/40/33767
6 · The paper itself

Abstract

Importance: Cardiovascular diseases (CVDs) are the leading cause of disease burden in Indonesia. Implementation of effective interventions for CVD prevention is limited. Objective: To evaluate whether a mobile technology-supported primary health care intervention, compared with usual care, would improve the use of preventive drug treatment among people in rural Indonesia with a high risk of CVD. Design, Setting, and Participants: A quasi-experimental study involving 6579 high-risk individuals in 4 intervention and 4 control villages in Malang district, Indonesia, was conducted between August 16, 2016, and March 31, 2018. Median duration of follow-up was 12.2 months. Residents 40 years or older were invited to participate. Those with high estimated 10-year risk of CVD risk (previously diagnosed CVD, systolic blood pressure [BP] >160 mm Hg or diastolic BP >100 mm Hg, 10-year estimated CVD risk of 30% or more, or 10-year estimated CVD risk of 20%-29% and a systolic BP >140 mm Hg) were followed up. Interventions: A multifaceted mobile technology-supported intervention facilitating community-based CVD risk screening with referral, tailored clinical decision support for drug prescription, and patient follow-up. Main Outcomes and Measures: The primary outcome was the proportion of individuals taking appropriate preventive CVD medications, defined as at least 1 BP-lowering drug and a statin for all high-risk individuals, and an antiplatelet drug for those with prior diagnosed CVD. Secondary outcomes included mean change in BP from baseline. Results: Among 22 635 adults, 3494 of 11 647 in the intervention villages (30.0%; 2166 women and 1328 men; mean [SD] age, 58.3 [10.9] years) and 3085 of 10 988 in the control villages (28.1%; 1838 women and 1247 men; mean [SD] age, 59.0 [11.5] years) had high estimated risk of CVD. Of these, follow-up was completed in 2632 individuals (75.3%) from intervention villages and 2429 individuals (78.7%) from control villages. At follow-up, 409 high-risk individuals in intervention villages (15.5%) were taking appropriate preventive CVD medications, compared with 25 (1.0%) in control villages (adjusted risk difference, 14.1%; 95% CI, 12.7%-15.6%). This difference was driven by higher use of BP-lowering medication in those in the intervention villages (1495 [56.8%] vs 382 [15.7%]; adjusted risk difference, 39.4%; 95% CI, 37.0%-41.7%). The adjusted mean difference in change in systolic BP from baseline was -8.3 mm Hg (95% CI, -10.1 to -6.6 mm Hg). Conclusions and Relevance: This study found that a multifaceted mobile technology-supported primary health care intervention was associated with greater use of preventive CVD medication and lower BP levels among high-risk individuals in a rural Indonesian population.

Indexed as

Rural PopulationAdultCardiovascular DiseasesFemaleHumansIndonesiaMaleMiddle AgedMorbidityPrimary Health CareRetrospective StudiesRisk FactorsRisk ManagementTelemedicine

Identifiers

PMID31461123
PMCPMC6714032
OpenAlexW2971326254

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.