IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i5p4384-d1084271.html
   My bibliography  Save this article

Disparities of Health Program Information Systems in Indonesia: A Cross-Sectional Indonesian Health Facility Research 2019

Author

Listed:
  • Sri Idaiani

    (Research Centre for Preclinical and Clinical Medicine, National Research and Innovation Agency, Cibinong Science Center, Jalan Raya Jakarta-Bogor Km. 46, Kec. Cibinong, Kabupaten Bogor 16915, West Java, Indonesia)

  • Harimat Hendarwan

    (Research Centre for Preclinical and Clinical Medicine, National Research and Innovation Agency, Cibinong Science Center, Jalan Raya Jakarta-Bogor Km. 46, Kec. Cibinong, Kabupaten Bogor 16915, West Java, Indonesia)

  • Maria Holly Herawati

    (Research Centre for Public Health and Nutrition, National Research and Innovation Agency, Cibinong Science Center, Jalan Raya Jakarta-Bogor Km. 46, Kec. Cibinong, Kabupaten Bogor 16915, West Java, Indonesia)

Abstract

Although a recording and reporting format for health centers already exists for Indonesia’s standard information system, numerous health applications still need to meet the needs of each program. Therefore, this study aimed to demonstrate the potential disparities in information systems in the application and data collection of health programs among Indonesian community health centers (CHCs) based on provinces and regions. This cross-sectional research used data from 9831 CHCs from the Health Facilities Research 2019 (RIFASKES). Significance was assessed using a chi-square test and analysis of variance (ANOVA). The number of applications was depicted on a map using the spmap command with STATA version 14. It showed that region 2, which represented Java and Bali, was the best, followed by regions 1, which comprised Sumatra Island and its surroundings, and 3, Nusa Tenggara. The highest mean, equaling that of Java, was discovered in three provinces of region 1, namely, Jambi, Lampung, and Bangka Belitung. Furthermore, Papua and West Papua had less than 60% for all types of data-storage programs. Hence, there is a disparity in the health information system in Indonesia by province and region. The results of this analysis recommend future improvement of the CHCs’ information systems.

Suggested Citation

  • Sri Idaiani & Harimat Hendarwan & Maria Holly Herawati, 2023. "Disparities of Health Program Information Systems in Indonesia: A Cross-Sectional Indonesian Health Facility Research 2019," IJERPH, MDPI, vol. 20(5), pages 1-12, March.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4384-:d:1084271
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/5/4384/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/5/4384/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Susan Higman & Vikas Dwivedi & Alpha Nsaghurwe & Moses Busiga & Hermes Sotter Rulagirwa & Dasha Smith & Chris Wright & Ssanyu Nyinondi & Edwin Nyella, 2019. "Designing interoperable health information systems using Enterprise Architecture approach in resource‐limited countries: A literature review," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(1), pages 85-99, January.
    2. Lia Faridah & Fedri Ruluwedrata Rinawan & Nisa Fauziah & Wulan Mayasari & Angga Dwiartama & Kozo Watanabe, 2020. "Evaluation of Health Information System (HIS) in The Surveillance of Dengue in Indonesia: Lessons from Case in Bandung, West Java," IJERPH, MDPI, vol. 17(5), pages 1-13, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ari Indra Susanti & Mohammad Ali & Asep Herry Hernawan & Fedri Ruluwedrata Rinawan & Wanda Gusdya Purnama & Indriana Widya Puspitasari & Alyxia Gita Stellata, 2022. "Midwifery Continuity of Care in Indonesia: Initiation of Mobile Health Development Integrating Midwives’ Competency and Service Needs," IJERPH, MDPI, vol. 19(21), pages 1-17, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4384-:d:1084271. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.