Evidence map›Paper›PMID 40902076›Full record

ArticleJMIR medical informatics2025

Understanding Health Information Systems Utilization Across Public Health Centers in Indonesia: Cross-Sectional Study.

Dewi Nur Aisyah, Agus Heri Setiawan, Chyntia Aryanti Mayadewi, Alfiano Fawwaz Lokopessy, Zisis Kozlakidis, Logan Manikam

Abstract read
In one paragraph

Article in JMIR medical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Dewi Nur AisyahDepartment of Epidemiology and Public Health, Institue of Epidemiology and Health Care, University College London, 1-19 Torrington Place, London, United Kingdom, 44 207679200.ORCID 0000-0003-2247-0612
Agus Heri SetiawanDigital Transformation Office, Ministry of Health Republic of Indonesia, Jakarta, Indonesia.ORCID 0009-0002-0550-6548
Chyntia Aryanti MayadewiDigital Transformation Office, Ministry of Health Republic of Indonesia, Jakarta, Indonesia.ORCID 0000-0002-3852-3910
Alfiano Fawwaz LokopessyDigital Transformation Office, Ministry of Health Republic of Indonesia, Jakarta, Indonesia.ORCID 0000-0001-7001-4094
Zisis KozlakidisInternational Agency for Research on Cancer World Health Organization, Lyon, France.ORCID 0000-0002-3836-7209
Logan ManikamDepartment of Epidemiology and Public Health, Institue of Epidemiology and Health Care, University College London, 1-19 Torrington Place, London, United Kingdom, 44 207679200.ORCID 0000-0001-5288-3325

Funding

World Health Organization 001
6 · The paper itself

Abstract

Background: The primary health care service in Indonesia consists of 10,260 public health centers (Puskesmas), which play a major role in providing health care in the community, recording and reporting health data using digital health information systems (HIS) or manual reports. The utilization of HIS across Puskesmas is crucial to capture the dynamic evolution of health problems and monitor interventions, thus providing effective primary health care services for the community. Objective: This paper provides a national-level baseline mapping of HIS utilization in Indonesian Puskesmas. It evaluates the number of HIS used, associated challenges, and contextual factors influencing system adoption. Methods: A cross-sectional survey was carried out covering all Puskesmas across 34 Indonesian provinces between January and February 2022. The questionnaire covered a list of HIS used by Puskesmas, which developed the HIS, and the utilization and challenges during HIS implementation. Descriptive statistical analysis and bivariate analysis were applied. Results: A total of 2606 (25.5%) public health centers across 34 provinces participated in this study. On average, Puskesmas reported using 30 different HIS platforms, with notable variation across provinces and islands. Most systems (n=62,060, 72.94%) were developed by national ministries, though local governments and third parties also contributed. Despite 91.5% of respondents reporting that HIS aligned with their needs and 90% claiming data use for decision-making, many centers faced operational barriers: 49% (n=132,300) of systems required excessive data entry, 33% (n=89,100) experienced frequent downtime, and 29% (n=78,300) lacked automated analysis features. In terms of the infrastructure supporting HIS implementation, 9.45% (n=138) of Puskesmas have no access to the internet, while only 28.9% (n=422) have access to robust and efficient internet connections. As for the human resources, the study reveals that each health personnel manages up to six different HIS for data reporting tasks, 74.30% (n=1133) of Puskesmas only received training at the initial system's implementation stage, and 80.51% (n=1225) of respondents report the existence of an informal knowledge transfer process among the staff. The bivariate analysis shows that Puskesmas with the characteristics of being located in Java island and urban areas possessed higher accreditation levels, had more training and knowledge transfer, and had a greater chance to use >30 HIS. Conclusions: This descriptive study highlights substantial fragmentation in Indonesia's HIS environment and reveals critical disparities in system infrastructure, usability, and workforce capacity. Recommendations should be tailored to different contexts: offline-compatible systems and basic digital literacy training are needed in rural areas, while urban Puskesmas may benefit from advanced integration and analytics tools. Future research should address HIS interoperability, impact assessment, cost-effectiveness, and qualitative user experience through longitudinal and mixed methods studies to guide Indonesia's digital health transformation.

Indexed as

Health Information SystemsPrimary Health CarePublic HealthCross-Sectional StudiesHumansIndonesiaSurveys and Questionnaireshealth information systeminfrastructureprimary health carepublic health centersPuskesmas

Identifiers

PMID40902076
PMCPMC12407222

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.