Assessment of Data Quality in Hospital Reporting on Sumatra Island in 2023 through the RS Online Application
Abstract
One of the uses of technology in the healthcare sector is the implementation of health information systems (HIS). An example of HIS implementation in Indonesia is RS Online. RS Online is part of the hospital information system used for routine hospital reporting by adjusting data and information needs at the Ministry of Health. Data from health facilities, such as hospital data in RS Online, are the main data source for evaluating the performance of the health sector. Data urgency arises due to the importance of data quality and its resulting impacts. The aim of this research is to determine the level of hospital reporting data quality on Sumatra Island in 2023 on the RS Online application. This research was quantitative with a cross-sectional design. The sample consisted of 753 hospitals on Sumatra Island, which was determined by total sampling. The results of routine data quality assessment reached 100% in the uniqueness dimension, 94.59% in the completeness dimension, 98.71% in the accuracy dimension, and 99.52% in the validity dimension. The results show that the routine hospital reporting data quality on the RS Online application in 2023 on Sumatra Island is categorized as good.
Downloads
Download data is not yet available.
References
Aqil, A., Lippeveld, T. and Hozumi, D. (2009) “PRISM framework: A paradigm shift for designing, strengthening and evaluating routine health information systems,” Health Policy and Planning, 24(3), pp. 217–228. Available at: https://doi.org/10.1093/heapol/czp010.
Batini, C. et al. (2009) “Methodologies for Data Quality Assessment and Improvement,” ACM Computing Surveys, 41(3), pp. 1–52. Available at: https://doi.org/10.1145/1541880.1541883.
Chen, H. et al. (2014) “A Review of Data Quality Assessment Methods for Public Health Information Systems,” International Journal of Environmental Research and Public Health, 11(5), pp. 5170–5207. Available at: https://doi.org/10.3390/ijerph110505170.
Cheng, P. et al. (2009) “The Risk and Consequences of Clinical Miscoding Due to Inadequate Medical Documentation: A case Study of The Impact on Health Services Funding,” Health Information Management Journal, 38(1), pp. 35–46. Available at: https://doi.org/10.1177/183335830903800105.
Chotimah, S.N. (2022). Implementation of the Health Information System in Indonesian Health Service Facilities: Literature Review. Journal of Medical Record & Health Information Management, 2(1), pp. 8–13. Available at: https://doi.org/10.53416/jurmik.v2i1.67.
Directorate General of Health Services. (2020). Technical Instructions of RS Online. Jakarta: The Ministry of Health of the Republic of Indonesia.
Karr, A.F., Sanil, A.P. and Banks, D.L. (2006). Data quality: A statistical perspective, Statistical Methodology, 3(2), pp. 137–173. Available at: https://doi.org/10.1016/j.stamet.2005.08.005.
The Ministry of Health of the Republic of Indonesia. (2011). Regulation of the Minister of Health of the Republic of Indonesia Number 1171 of 2011 concerning Hospital Information Systems.
The Ministry of Health of the Republic of Indonesia. (2022). Regulation of the Minister of Health of the Republic of Indonesia Number 18 of 2022 concerning Implementation of One Data in the Health Sector through the Health Information System, Ministry of Health of the Republic of Indonesia.
The Ministry of Health of the Republic of Uganda. (2004). A Manual For Strengthening HMIS Data Quality.
Nurdini, A. (2019). Analysis of the Quality of Patient Safety Incident Reporting Data at Wates Regional Hospital. Universitas Gadjah Mada. Available at: https://etd.repository.ugm.ac.id/penelitian/detail/172729.
Pipino, L. et al. (2015). Developing Measurement Scales for Data-quality Dimensions, in R.Y. Wang et al. (eds.) Information Quality. New York: Routledge, pp. 37–51. Available at: https://doi.org/doi.org/10.4324/9781315703480.
President of the Republic of Indonesia. (2014). Government Regulation Number 46 of 2014 concerning Health Information Systems. Available at: http://jdih.kkp.go.id/peraturan/pp-46-2014.pdf.
Prosser-Snelling, E. and Morris, E. (2017) “Quality indicators,” Obstetrics, Gynaecology & Reproductive Medicine, 27(9), pp. 290–292. Available at: https://doi.org/10.1016/j.ogrm.2017.06.008.
Data and Information Technology Center. (2013). Routine Data Quality Self-Assessment Module. Jakarta: The Ministry of Health of the Republic of Indonesia.
Data and Information Technology Center. (2023). Routine Data Quality Assessment Training Module. Jakarta: The Ministry of Health of the Republic of Indonesia.
Putri, S.I. and Akbar, P.S. (2019). Health Information System. Ponorogo: Uwais Inspirasi Indonesia. Available at: https://books.google.co.id/books/about/SISTEM_INFORMASI_KESEHATAN.html?id=RZyxDwAAQBAJ&redir_esc=y.
Redman, T.C. (2015). Measuring Data Accuracy: A Framework and Review, in R.Y. Wang et al. (eds.) Information Quality. New York: Routledge, pp. 21–36. Available at: https://doi.org/doi.org/10.4324/9781315703480.
Riyanto, S. and Purwaningrum, D.N. (2023). Quality of Anthropometric Data Results of Electronic Community-Based Nutrition Reporting Recording in Magelang Regency. Yogyakarta: Universitas Gadjah Mada.
Secretariat of the Directorate General of Health Services (2021). RS Online. Jakarta: The Ministry of Health of the Republic of Indonesia. Available at: https://sirs.kemkes.go.id/fo/.
Setyaningrum, A. (2015). Analysis of the Patient Registration Information System Using the Pieces Method at Mulia Hati Wonogiri Hospital, Phytochemistry.
Shama, A.T. et al. (2021). Assessment of quality of routine health information system data and associated factors among departments in public health facilities of Harari region, Ethiopia, BMC Medical Informatics and Decision Making, 21(1), pp. 1–14. Available at: https://doi.org/10.1186/s12911-021-01651-2.
Strong, D.M., Lee, Y.W. and Wang, R.Y. (1997) “Data Quality in Context,” Communications of the ACM, 40(5), pp. 103–110. Available at: https://doi.org/10.1145/253769.253804.
Tristantia, A.D. (2018). Evaluation of the Patient Safety Incident Reporting System in Hospitals. Journal of Indonesian Health Administration, 6(2), p. 83. Available at: https://doi.org/10.20473/jaki.v6i2.2018.83-94.
World Health Organization (2008) Framework and Standards for Country Health Information Systems. 2nd ed. Italy: WHO Press. Available at: https://doi.org/10.4018/978-1-60566-988-5.
World Health Organization (2010) Monitoring the Building Blocks of Health Systems: a Handbook of Indicators and. Geneva: WHO Document Production Services.
World Health Organization (2017) Data Quality Review Module 1: Framework and Metrics, WHO Press. Available at: http://www.who.int.
Batini, C. et al. (2009) “Methodologies for Data Quality Assessment and Improvement,” ACM Computing Surveys, 41(3), pp. 1–52. Available at: https://doi.org/10.1145/1541880.1541883.
Chen, H. et al. (2014) “A Review of Data Quality Assessment Methods for Public Health Information Systems,” International Journal of Environmental Research and Public Health, 11(5), pp. 5170–5207. Available at: https://doi.org/10.3390/ijerph110505170.
Cheng, P. et al. (2009) “The Risk and Consequences of Clinical Miscoding Due to Inadequate Medical Documentation: A case Study of The Impact on Health Services Funding,” Health Information Management Journal, 38(1), pp. 35–46. Available at: https://doi.org/10.1177/183335830903800105.
Chotimah, S.N. (2022). Implementation of the Health Information System in Indonesian Health Service Facilities: Literature Review. Journal of Medical Record & Health Information Management, 2(1), pp. 8–13. Available at: https://doi.org/10.53416/jurmik.v2i1.67.
Directorate General of Health Services. (2020). Technical Instructions of RS Online. Jakarta: The Ministry of Health of the Republic of Indonesia.
Karr, A.F., Sanil, A.P. and Banks, D.L. (2006). Data quality: A statistical perspective, Statistical Methodology, 3(2), pp. 137–173. Available at: https://doi.org/10.1016/j.stamet.2005.08.005.
The Ministry of Health of the Republic of Indonesia. (2011). Regulation of the Minister of Health of the Republic of Indonesia Number 1171 of 2011 concerning Hospital Information Systems.
The Ministry of Health of the Republic of Indonesia. (2022). Regulation of the Minister of Health of the Republic of Indonesia Number 18 of 2022 concerning Implementation of One Data in the Health Sector through the Health Information System, Ministry of Health of the Republic of Indonesia.
The Ministry of Health of the Republic of Uganda. (2004). A Manual For Strengthening HMIS Data Quality.
Nurdini, A. (2019). Analysis of the Quality of Patient Safety Incident Reporting Data at Wates Regional Hospital. Universitas Gadjah Mada. Available at: https://etd.repository.ugm.ac.id/penelitian/detail/172729.
Pipino, L. et al. (2015). Developing Measurement Scales for Data-quality Dimensions, in R.Y. Wang et al. (eds.) Information Quality. New York: Routledge, pp. 37–51. Available at: https://doi.org/doi.org/10.4324/9781315703480.
President of the Republic of Indonesia. (2014). Government Regulation Number 46 of 2014 concerning Health Information Systems. Available at: http://jdih.kkp.go.id/peraturan/pp-46-2014.pdf.
Prosser-Snelling, E. and Morris, E. (2017) “Quality indicators,” Obstetrics, Gynaecology & Reproductive Medicine, 27(9), pp. 290–292. Available at: https://doi.org/10.1016/j.ogrm.2017.06.008.
Data and Information Technology Center. (2013). Routine Data Quality Self-Assessment Module. Jakarta: The Ministry of Health of the Republic of Indonesia.
Data and Information Technology Center. (2023). Routine Data Quality Assessment Training Module. Jakarta: The Ministry of Health of the Republic of Indonesia.
Putri, S.I. and Akbar, P.S. (2019). Health Information System. Ponorogo: Uwais Inspirasi Indonesia. Available at: https://books.google.co.id/books/about/SISTEM_INFORMASI_KESEHATAN.html?id=RZyxDwAAQBAJ&redir_esc=y.
Redman, T.C. (2015). Measuring Data Accuracy: A Framework and Review, in R.Y. Wang et al. (eds.) Information Quality. New York: Routledge, pp. 21–36. Available at: https://doi.org/doi.org/10.4324/9781315703480.
Riyanto, S. and Purwaningrum, D.N. (2023). Quality of Anthropometric Data Results of Electronic Community-Based Nutrition Reporting Recording in Magelang Regency. Yogyakarta: Universitas Gadjah Mada.
Secretariat of the Directorate General of Health Services (2021). RS Online. Jakarta: The Ministry of Health of the Republic of Indonesia. Available at: https://sirs.kemkes.go.id/fo/.
Setyaningrum, A. (2015). Analysis of the Patient Registration Information System Using the Pieces Method at Mulia Hati Wonogiri Hospital, Phytochemistry.
Shama, A.T. et al. (2021). Assessment of quality of routine health information system data and associated factors among departments in public health facilities of Harari region, Ethiopia, BMC Medical Informatics and Decision Making, 21(1), pp. 1–14. Available at: https://doi.org/10.1186/s12911-021-01651-2.
Strong, D.M., Lee, Y.W. and Wang, R.Y. (1997) “Data Quality in Context,” Communications of the ACM, 40(5), pp. 103–110. Available at: https://doi.org/10.1145/253769.253804.
Tristantia, A.D. (2018). Evaluation of the Patient Safety Incident Reporting System in Hospitals. Journal of Indonesian Health Administration, 6(2), p. 83. Available at: https://doi.org/10.20473/jaki.v6i2.2018.83-94.
World Health Organization (2008) Framework and Standards for Country Health Information Systems. 2nd ed. Italy: WHO Press. Available at: https://doi.org/10.4018/978-1-60566-988-5.
World Health Organization (2010) Monitoring the Building Blocks of Health Systems: a Handbook of Indicators and. Geneva: WHO Document Production Services.
World Health Organization (2017) Data Quality Review Module 1: Framework and Metrics, WHO Press. Available at: http://www.who.int.
Picture in here are illustration from public domain image (License) or provided by the author, as part of their works
Published
2024-11-21
How to Cite
[1]
M. Elfrida, P. D. Kusumaningrum, and A. E. Pramono, “Assessment of Data Quality in Hospital Reporting on Sumatra Island in 2023 through the RS Online Application”, PELS, vol. 6, pp. 36 - 43, Nov. 2024.
Section
Articles
Copyright (c) 2024 Maura Elfrida, Panggih Dewi Kusumaningrum, Angga Eko Pramono
This work is licensed under a Creative Commons Attribution 4.0 International License.
