Evidence map›Paper›PMID 41362420›Full record

ArticleThe Lancet regional health. Western Pacific2025

Diabetes care performance in Indonesia: a serial cross-sectional analysis of behavioral, clinical, and laboratory outcomes from 2013 to 2023.

Farizal Rizky Muharram, Julian Benedict Swannjo, Dicky Lavenus Tahapary, Sally Aman Nasution, Delvac Oceandy

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

5 authors.

Farizal Rizky MuharramGlobal Health and Social Medicine, Harvard Medical School, Boston, USA.
Julian Benedict SwannjoHealth System Center, ARC Institute, Jakarta, Indonesia.
Dicky Lavenus TahaparyDivision of Endocrinology, Metabolism, and Diabetes, Department of Internal Medicine, Faculty of Medicine Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
Sally Aman NasutionDepartment of Internal Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Delvac OceandyDivision of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The growing diabetes burden in Indonesia necessitates a comprehensive understanding of national diabetes care performance, which remains inadequately characterized. Evaluating care quality across domains is essential to inform chronic disease policy and improve health outcomes. This study assesses trends in behavioral, clinical, and laboratory outcomes of diabetes care in Indonesia from 2013 to 2023. Methods: We conducted a serial cross-sectional analysis of pooled data from the 2013, 2018, and 2023 Indonesian national health surveys (N = 42,224 for behavioral-clinical and N = 2957 for laboratory outcomes). Diabetes care performance was assessed across behavioral (treatment, smoking, diet, activity), clinical (blood pressure, BMI, waist length), and laboratory (glucose, lipids, renal function) domains. Composite scores and multilevel models were used to identify geographic and sociodemographic disparities. Findings: Although linkage to diabetes care significantly improved from 68% to 92% between 2013 and 2023, performance in most other indicators remained stagnant or declined. In 2023, only 2.9% (95% CI 2.5-3.3%) met dietary fiber intake targets, 62.4% (95% CI 61.2-63.6%) achieved physical activity goals, and 83.9% (95% CI 82.9-84.8%) abstained from smoking. Clinical control was suboptimal, with 43.5% (95% CI 42.3-44.8%) meeting blood pressure targets and only 26.7% (95% CI 25.6-27.9%) and 33.1% (95% CI 32.0-34.3%) achieving BMI and waist circumference goals, respectively. Laboratory control was limited: only 25.2% (21.6-28.8%) achieved fasting glucose targets, 32.0% (95% CI 27.6-36.3%) had HbA1c <7%, and only 22.6% (95% CI 19.1-26.2%) met LDL-C goals. Fewer than 5% of participants met all behavioral-clinical or laboratory composite targets. Composite performance declined in nearly all provinces, with disparities linked to older age, male sex, lower education, and rural residence. Interpretation: Despite expanded healthcare coverage, Indonesia's diabetes care performance remains critically inadequate, particularly for achieving multiple targets. Strengthening national guidelines, embedding structured chronic care, and addressing social determinants are essential to improving diabetes outcomes. Funding: None.

Indexed as

Diabetes managementIndonesiaNon-communicable diseases

Identifiers

PMID41362420
PMCPMC12681878

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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.