Health Management Information System to Strengthen Congenital Hypothyroid Screening Program in Jakarta Indonesia
Keywords:
congenital hypothyroidism, newborn screening, digital health, health management information systemsAbstract
Congenital Hypothyroid Screening (CHS) is critical for early diagnosis and treatment, yet Jakarta faces challenges such as delayed reporting and limited data reliability in its program management. This study employed Design Science Research (DSR) methodology to develop and evaluate a digital health management information system (HMIS) for CHS using DHIS2. Evaluation, using the UTAUT2 model, revealed that Performance Expectancy and Facilitating Conditions are primary drivers of user adoption, highlighting the need for institutional support and training. DHIS2 has significantly improved CHS data management by automating aggregation and visualization, enhancing data-driven decision-making despite initial transition challenges. Future efforts should prioritise interoperability, data governance, and workflow optimisation to ensure long-term sustainability and seamless integration.
References
Badan Pusat Statistik Provinsi DKI Jakarta. (n.d.). Kesehatan. Retrieved May 20, 2024, from https://jakarta.bps.go.id/subject/30/kesehatan.html#subjekViewTab3.html
Bai, B., & Guo, Z. (2022). Understanding Users’ Continuance Usage Behavior Towards Digital Health Information System Driven by the Digital Revolution Under COVID-19 Context: An Extended UTAUT Model. Psychology Research and Behavior Management, 15, 2831–2842. https://doi.org/10.2147/PRBM.S364275
Bhattacharya, A. A., Umar, N., Audu, A., Allen, E., Schellenberg, J. R. M., & Marchant, T. (2019). Quality of routine facility data for monitoring priority maternal and newborn indicators in DHIS2: A case study from Gombe State, Nigeria. PLoS ONE, 14(1). https://doi.org/10.1371/journal.pone.0211265
Biro Komunikasi dan Pelayanan Publik, K. K. R. (2022). Kemenkes Relaunching Skrining Hipotiroid Kongenital Untuk Kurangi Risiko Kecacatan Pada Anak. https://sehatnegeriku.kemkes.go.id/baca/rilis-media/20220831/2641015/kemenkes-relaunching-skrining-hipotiroid-kongenital-untuk-kurangi-risiko-kecacatan-pada-anak/
Byrne, E., & Sæbø, J. I. (2022). Routine use of DHIS2 data: a scoping review. BMC Health Services Research, 22(1). https://doi.org/10.1186/s12913-022-08598-8
Chang, A. (2012). UTAUT and UTAUT 2: A Review and Agenda for Future Research. The Winners, 13(2). https://doi.org/10.21512/tw.v13i2.656
DHIS2 Team. (2024). DHIS2 implementation guide. https://docs.dhis2.org/en/full/implement/dhis2-implementation-guide.html
Kementerian Kesehatan. (n.d.). Monitoring Implementasi SATUSEHAT Seluruh Indonesia. 2024. Retrieved April 20, 2024, from https://satusehat.kemkes.go.id/data/dashboard/3678097d-d11e-4b2c-8552-310d782a905b
Kurniawan, L. B. (2020). Congenital Hypothyroidism: Incidence, Etiology and Laboratory Screening. In Indonesian Journal of Clinical Pathology and Medical Laboratory (Vol. 26, Issue 3, pp. 375–380). Indonesian Association of Clinical Pathology and Laboratory Medicine. https://doi.org/10.24293/ijcpml.v26i3.1527
Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of Management Information Systems, 24(3). https://doi.org/10.2753/MIS0742-1222240302
Peraturan Gubernur Nomor 57 Tahun 2022 Tentang Organisasi Dan Tata Kerja Perangkat Daerah (2022). https://jdih.jakarta.go.id/dokumen/detail/5877/peraturan-gubernur-nomor-57-tahun-2022-tentang-organisasi-dan-tata-kerja-perangkat-daerah
Peraturan Menteri Kesehatan Nomor 78 Tahun 2014 Tentang Skrinning Hipotiroid Kongenital (2014). https://peraturan.go.id/id/permenkes-no-78-tahun-2014
Pulungan, A. B., Puteri, H. A., Faizi, M., Hofman, P. L., Utari, A., & Chanoine, J. P. (2024). Experiences and Challenges with Congenital Hypothyroidism Newborn Screening in Indonesia: A National Cross-Sectional Survey. International Journal of Neonatal Screening, 10(1). https://doi.org/10.3390/ijns10010008
Pulungan, A. B., Soesanti, F., Utari, A., Pritayati, N., Julia, M., Annisa, D., Andarie, A. A., & Bikin, I. W. (2020). Preliminary Study of Newborn Screening for Congenital Hypothyroidism and Congenital Adrenal Hyperplasia in Indonesia. EJournal Kedokteran Indonesia, 8(2). https://doi.org/10.23886/ejki.8.11611.
Reynolds, E., Martel, L. D., Bah, M. O., Bah, M., Bah, M. B., Boubacar, B., Camara, N., Camara, Y. B., Corvil, S., Diallo, B. I., Diallo, I. T., Diallo, M. K., Diallo, M. T., Diallo, T., Guilavogui, S., Hemingway-Foday, J. J., Hann, F., Kaba, A., Kaba, A. K., … MacDonald, P. D. M. (2022). Implementation of DHIS2 for Disease Surveillance in Guinea: 2015–2020. Frontiers in Public Health, 9. https://doi.org/10.3389/fpubh.2021.761196
Uthayaseelan, K., Kadari, M., Subhan, M., Saji Parel, N., Krishna, P. V., Gupta, A., & Uthayaseelan, K. (2022). Congenital Anomalies in Infant With Congenital Hypothyroidism: A Review of Pathogenesis, Diagnostic Options, and Management Protocols. Cureus. https://doi.org/10.7759/cureus.24669
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3). https://doi.org/10.2307/30036540
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