Analisis Faktor yang Mempengaruhi Kualitas Data Sistem Informasi Rumah Sakit (SIRS) Online dengan PRISM Framework
DOI:
https://doi.org/10.26418/justin.v10i4.50999Keywords:
Data Quality, PRISM Framework, Online HIS, RHISAbstract
Teknologi informasi memiliki peranan penting untuk meningkatkan efisiensi pelayanan kesehatan khususnya bagi rumah sakit. Satu program pemerintah yang memanfaatkan teknologi informasi yaitu Sistem Informasi Rumah Sakit (SIRS) online. Implementasinya ditujukan bagi semua rumah sakit seluruh Indonesia dengan melaporkan rekapitulasi kegiatan pelayanannya. Data pelaporan harus dilaporkan dengan tenggat waktu, kelengkapan, dan keakuratannya yang baik untuk membantu pembuatan kebijakan, dan bisa dikatakan bahwa data tersebut berkualitas. Terdapat metode untuk mengukur data yang berkualitas salah satunya Performance of Routine Information System Management (PRISM) framework. Beberapa penelitian mengkaji kerangka PRISM, namun peneliti belum menemukan penelitian serupa di Indonesia. Tujuan penelitian ini bermaksud untuk mengetahui faktor yang mempengaruhi kualitas data dengan PRISM framework. Penelitian ini adalah penelitian kuantitatif dengan rancangan cross-sectional. Populasi penelitian yaitu; a) Data sekunder pelaporan SIRS online sebanyak 2798. b) Hasil penyebaran kuesioner sebanyak 100. Sampel diambil dari hasil penggabungan data sekunder dan kuesioner berjumlah 78. Teknik analisis data yang digunakan adalah SEM-PLS dengan model PRISM framework. Berdasarkan pengujian terdapat 3 hipotesis berpengaruh signifikan satu sama lainnya, yaitu; faktor organisasi terhadap faktor perilaku, faktor organisasi terhadap proses SIK rutin, dan proses SIK rutin terhadap kualitas data. Disimpulkan bahwa faktor organisasi merupakan kunci pemanfaatan data SIRS online yang berkualitas.
Kata Kunci: Kualitas Data, PRISM Framework, SIRS Online, SIK Rutin
Information technology has important role to play in increasing the efficiency of health services, especially for hospitals. One government program that utilizes information technology is online Hospital Information System (HIS). The implementation itself is aimed at all hospitals throughout Indonesia by reporting the recapitulation of their service activities. The Reported data must be reported with due time, completeness and accuracy to assist policy making, and it can be said the data have a good quality. There are methods for measuring quality data, one of which is the Performance of Routine Information System Management (PRISM) framework. Several studies have reviewed based on the PRISM framework, but researchers have not found similar studies in Indonesia. The purpose of this study is to determine the factors that affect data quality using PRISM framework. This research is quantitative study with cross-sectional study design. The research population, which are; a) Reported online HIS secondary data as many as 2798. b) The results of distributing questionnaires as many as 100. Samples were taken from the combination of secondary data and questionnaire data totaling 78. The data analysis technique used is SEM-PLS analysis technique with PRISM framework model. Based on the test of 6 variables, there are 3 hypotheses which significantly influence each other, namely; organizational factors on behavioral factors, organizational factors on RHIS processes, and RHIS processes on data quality. Broadly speaking, it can be said that organizational factors are the keys in utilizing the quality of online HIS data.
Keyword: Data Quality, PRISM Framework, Online HIS, RHIS
References
Azizah NLN, Setiawan MV. Pengelolaan Informasi Kesehatan secara Terintegrasi untuk Memaksimalkan Layanan Kesehatan kepada Pasien di Rumah Sakit. Indones J Pharm Sci Technol 2017;4:79. doi:10.15416/ijpst.v4i3.12886.
Kesehatan M. PERATURAN MENTERI KESEHATAN REPUBLIK INDONESIA NOMOR 1171 MENKES/PER/VI/2011 TENTANG SISTEM INFORMASI RUMAH SAKIT. Menteri Kesehat 2011:1–38.
Juknis SIRS. Juknis SIRS (sistem informasi rumah sakit) 2011. Juknis SIRS 2011 2011.
MEASURE Evaluation. PRISM Users Kit: Preparing and Conducting a PRISM Assessment 2018:1–26.
Teklegiorgis K, Tadesse K, Mirutse G, Terefe W. Level of data quality from Health Management Information Systems in a resources limited setting and its associated factors, eastern Ethiopia. SA J Inf Manag 2016;18:1–8. doi:10.4102/sajim.v18i1.612.
Aqil A, Lippeveld T, Hozumi D. PRISM framework: A paradigm shift for designing, strengthening and evaluating routine health information systems. Health Policy Plan 2009;24:217–28. doi:10.1093/heapol/czp010.
Farzandipur M. Factors Affecting Successful Implementation of Hospital Information Systems 2016;24:51–5. doi:10.5455/aim.2016.24.51-55.
Ahanhanzo YG, Ouedraogo LT, Kpozèhouen A, Coppieters Y, Makoutodé M, Wilmet-Dramaix M. Factors associated with data quality in the routine health information system of Benin. Arch Public Heal 2014;72:1–8. doi:10.1186/2049-3258-72-25.
E. N, D. B, T. P, L. D. Human factors affecting the quality of routinely collected data in South Africa. Stud Health Technol Inform 2013;192:788–92. doi:10.3233/978-1-61499-289-9-788.
Ghozali I. Partial Least Squares Konsep, Teknik dan Aplikasi Menggunakan Program SmartPLS 3.0. Semarang: Universitas Diponegoro; 2015.
Shiferaw AM, Zegeye DT, Assefa S, Yenit MK. Routine health information system utilization and factors associated thereof among health workers at government health institutions in East Gojjam Zone , Northwest Ethiopia 2017:1–9. doi:10.1186/s12911-017-0509-2.
Aziz NFA, Mohamadali NA. The challenges of human factors for implementation of information systems in the healthcare. ARPN J Eng Appl Sci 2015;10:17914–22.
Asemahagn MA. Determinants of routine health information utilization at primary healthcare facilities in Western Amhara, Ethiopia. Cogent Med 2017;4:1–11. doi:10.1080/2331205x.2017.1387971.
Dagnew E, Woreta SA, Shiferaw AM. Routine health information utilization and associated factors among health care professionals working at public health institution in North Gondar, Northwest Ethiopia. BMC Health Serv Res 2018;18:1–8. doi:10.1186/s12913-018-3498-7.
Aqil A, Lippeveld T, Traore M, Barry A. PRISM Tools User Guide. USAID 2012:174.
Cheburet SK, Odhiambo-Otieno GW. Organizational factors affecting data quality of routine health management information system quality: Case of Uasin Gishu County Referral Hospital, Kenya. Int Res J Public Environ Heal 2016;3:201–8. doi:10.15739/irjpeh.16.026.
Hotchkiss DR, Aqil A, Lippeveld T, Mukooyo E. Evaluation of the Performance of Routine Information System Management (PRISM) framework: Evidence from Uganda. BMC Health Serv Res 2010;10. doi:10.1186/1472-6963-10-188.
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