Evidence map›Paper›PMID 39037345›Full record

ArticleJMIR medical informatics2024

The Information and Communication Technology Maturity Assessment at Primary Health Care Services Across 9 Provinces in Indonesia: Evaluation Study.

Dewi Nur Aisyah, Agus Heri Setiawan, Alfiano Fawwaz Lokopessy, Nadia Faradiba, Setiaji Setiaji, Logan Manikam, Zisis Kozlakidis

Abstract read
In one paragraph

Article in JMIR medical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Digital Health and Primary Health Care Quality: A Survey Case Study.International journal of environmental research and public health · 2025
    Article
  6. 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

7 authors.

Dewi Nur AisyahDepartment of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0003-2247-0612
Agus Heri SetiawanDigital Transformation Office, Ministry of Health Republic of Indonesia, Jakarta, Indonesia.ORCID http://orcid.org/0009-0002-0550-6548
Alfiano Fawwaz LokopessyDigital Transformation Office, Ministry of Health Republic of Indonesia, Jakarta, Indonesia.ORCID http://orcid.org/0000-0001-7001-4094
Nadia FaradibaDigital Transformation Office, Ministry of Health Republic of Indonesia, Jakarta, Indonesia.ORCID http://orcid.org/0009-0002-7503-0290
Setiaji SetiajiDigital Transformation Office, Ministry of Health Republic of Indonesia, Jakarta, Indonesia.ORCID http://orcid.org/0009-0006-3068-1232
Logan ManikamDepartment of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-5288-3325
Zisis KozlakidisInternational Agency for Research on Cancer, World Health Organization, Lyon, France.ORCID http://orcid.org/0000-0002-3836-7209

Funding

World Health Organization 001
6 · The paper itself

Abstract

Background: Indonesia has rapidly embraced digital health, particularly during the COVID-19 pandemic, with over 15 million daily health application users. To advance its digital health vision, the government is prioritizing the development of health data and application systems into an integrated health care technology ecosystem. This initiative involves all levels of health care, from primary to tertiary, across all provinces. In particular, it aims to enhance primary health care services (as the main interface with the general population) and contribute to Indonesia's digital health transformation. Objective: This study assesses the information and communication technology (ICT) maturity in Indonesian health care services to advance digital health initiatives. ICT maturity assessment tools, specifically designed for middle-income countries, were used to evaluate digital health capabilities in 9 provinces across 5 Indonesian islands. Methods: A cross-sectional survey was conducted from February to March 2022, in 9 provinces across Indonesia, representing the country's diverse conditions on its major islands. Respondents included staff from public health centers (Puskesmas), primary care clinics (Klinik Pratama), and district health offices (Dinas Kesehatan Kabupaten/Kota). The survey used adapted ICT maturity assessment questionnaires, covering human resources, software and system, hardware, and infrastructure. It was administered electronically and involved 121 public health centers, 49 primary care clinics, and 67 IT staff from district health offices. Focus group discussions were held to delve deeper into the assessment results and gain more descriptive insights. Results: In this study, 237 participants represented 3 distinct categories: 121 public health centers, 67 district health offices, and 49 primary clinics. These instances were selected from a sample of 9 of the 34 provinces in Indonesia. Collected data from interviews and focus group discussions were transformed into scores on a scale of 1 to 5, with 1 indicating low ICT readiness and 5 indicating high ICT readiness. On average, the breakdown of ICT maturity scores was as follows: 2.71 for human resources' capability in ICT use and system management, 2.83 for software and information systems, 2.59 for hardware, and 2.84 for infrastructure, resulting in an overall average score of 2.74. According to the ICT maturity level pyramid, the ICT maturity of health care providers in Indonesia fell between the basic and good levels. The need to pursue best practices also emerged strongly. Further analysis of the ICT maturity scores, when examined by province, revealed regional variations. Conclusions: The maturity of ICT use is influenced by several critical components. Enhancing human resources, ensuring infrastructure, the availability of supportive hardware, and optimizing information systems are imperative to attain ICT maturity in health care services. In the context of ICT maturity assessment, significant score variations were observed across health care levels in the 9 provinces, underscoring the diversity in ICT readiness and the need for regionally customized follow-up actions.

Indexed as

adoptionAsiaAsiancross sectionaldigital maturitydistrict health officeeHealthICTimplementationIndonesiainformation and communication technologiesinformation and communication technologyinfrastructurematurityprimary careprimary care clinicsprimary health carepublic health centersPuskesmasquestionnairequestionnairesreadinesssurveysurveystelehealthtelemedicine

Identifiers

PMID39037345
PMCPMC11269960

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.