Evidence map›Paper›PMID 41916646›Full record

ArticleBMJ open2026

Geographic variation in potentially preventable hospitalisations in Indonesia: a multilevel analysis using National Health Insurance Sample Data.

Dewi Amila Solikha, Danielle Butler, Rosemary J Korda, Matthew Kelly

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–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

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

4 authors.

Dewi Amila SolikhaNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia dewi.amila@anu.edu.au.ORCID http://orcid.org/0009-0002-9122-4458
Danielle ButlerNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID http://orcid.org/0000-0003-4870-4544
Rosemary J KordaNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID http://orcid.org/0000-0002-9390-2171
Matthew KellyNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID http://orcid.org/0000-0001-7963-2139

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIndonesian data on potentially preventable hospitalisations (PPH), a widely used indicator for measuring primary healthcare (PHC) quality, are lacking. This study aimed to describe Indonesia's PPH rates and to quantify variation in PPH across districts/cities and their associations with individual sociodemographic characteristics. DESIGN AND

settingCross-sectional study conducted in Indonesia using the 2023 National Health Insurance Sample Data.

participantsSample of 2.32 million individuals, representing 266.85 million national health insurance OUTCOME MEASURES: PPH overall and by type: vaccine-preventable, acute and chronic.

methodsWe quantified crude and age-standardised PPH rates (overall and by type) per 10 000

resultsThere were 4.83 million overall PPH in 2023, an overall rate of 180.9 per 10 000

conclusionsPPH varied across districts/cities as well as by sociodemographic characteristics. While PPH has potential for measuring PHC quality in Indonesia, context-specific interpretation is required as lower PPH may reflect limited accessibility to hospital care rather than better PHC quality.

Indexed as

HospitalizationPrimary Health CareAdolescentAdultAgedChildChild, PreschoolCross-Sectional StudiesFemaleHumansIndonesiaInfantInfant, NewbornMaleMiddle AgedMultilevel AnalysisHealth EquityHealth ServicesHospitalizationIndonesiaPrimary Health CareQuality in health care

Identifiers

PMID41916646
PMCPMC13052727

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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.