Doctors’ performance when using Hospital Information System (HIS) in analysing determinants of mental health
DOI: https://doi.org/10.56922/mhc.v4i4.1674
Determinants Doctors’ Performance Hospital Management Information System Multiple Linear Regression Perception
Abstract
Background: The implementation of hospital information systems is expected to improve employee performance, particularly among doctors as key users. Previous studies have shown that the effectiveness of such systems can positively influence individual performance.
Purpose: To analyze of Mental Health and Performance of Doctors Using the Hospital Information System (HIS).
Method: This quantitative study used a total sampling technique involving 41 doctors at PRIMA Hospital Pekanbaru. Data were analyzed using multiple linear regression to assess the influence of various factors on doctors’ performance in using HMIS. The independent variables included knowledge, attitude, experience, doctors’ perception, ease of use, system security and reliability, feature–need suitability, data quality and accessibility, hospital policy, training and supervision support, as well as incentives and performance evaluation.
Results: The analysis revealed that only the doctors’ perception variable had a statistically significant effect on doctors' performance (p = 0.010 < 0.05). Other variables including knowledge, attitude, experience, ease of use, system security, hospital policies, training, and incentives showed no significant influence (p > 0.05).
Conclusion: Doctors’ perception of HMIS is a key factor in enhancing their performance in using the system. To optimize HMIS implementation, hospitals should focus on improving doctors’ understanding and acceptance through strategies such as targeted education and socialization, simplifying and customizing system features, enhancing system speed and interface, and offering performance-based incentives for HMIS utilization.
Keywords: Determinants; Doctors’ Performance; Hospital Management Information System; Multiple Linear Regression; Perception.
Downloads
References
Ahuja, S., Hanlon, C., Chisholm, D., Semrau, M., Gurung, D., Abdulmalik, J., & Jordans, M. (2019). Experience of implementing new mental health indicators within information systems in six low-and middle-income countries. BJPsych Open, 5(5), e71.
Alaiad, A., Alsharo, M., & Alnsour, Y. (2019). The determinants of m-health adoption in developing countries: an empirical investigation. Applied clinical informatics, 10(05), 820-840.
Alsharo, M., Alnsour, Y., & Alabdallah, M. (2020). How habit affects continuous use: evidence from Jordan’s national health information system. Informatics for Health and Social Care, 45(1), 43-56.
Astuti, H. M., Herdiyanti, A., & Iriandani, N. (2015). Factors influencing the success of hospital management information systems in a mental hospital in Indonesia. International Journal of Information Systems and Engineering, 3(1), 18-26.
Bagherian, H., & Sattari, M. (2022). Health information system in developing countries: a review on the challenges and causes of success and failure. Medical journal of the Islamic Republic of Iran, 36, 111.
Bernburg, M., Vitzthum, K., Groneberg, D. A., & Mache, S. (2016). Physicians' occupational stress, depressive symptoms and work ability in relation to their working environment: a cross-sectional study of differences among medical residents with various specialties working in German hospitals. BMJ open, 6(6), e011369.
Chimbo, B., & Motsi, L. (2024). The effects of electronic health records on medical error reduction: extension of the DeLone and McLean information system success model. JMIR Medical Informatics, 12, e54572.
El-Yafouri, R., Klieb, L., & Sabatier, V. (2022). Psychological, social and technical factors influencing electronic medical records systems adoption by United States physicians: a systematic model. Health Research Policy and Systems, 20(1), 48.
Kia, A. S., Beheshti, M., & Shahmoradi, L. (2021). Health information systems evaluation criteria: Overview of systematic. Health, 10, 120.
Lin, C., Lin, I. C., & Roan, J. (2022). Barriers to physicians’ adoption of healthcare information technology: an empirical study on multiple hospitals. Journal of medical systems, 36(3), 1965-1977.
Luo, J., Ahmad, S. F., Alyaemeni, A., Ou, Y., Irshad, M., Alyafi-Alzahri, R., & Unnisa, S. T. (2024). Role of perceived ease of use, usefulness, and financial strength on the adoption of health information systems: The moderating role of hospital size. Humanities and Social Sciences Communications, 11(1), 1-12.
Mondal, S., Arnab, K. H., Retina, I. J., Bushra, T., Roy, A., Tisa, A. H., & Ferdaus, F. (2024). Mental Health Status and Stress Factors Among Junior Doctors in Public Hospitals in Bangladesh A Cross Sectional Analysis. Asia Pacific Journal of Surgical Advances, 1(2), 39-43.
Pardamean, B., Gazali, W., Muljo, H. H., Suparyanto, T., & Mahesworo, B. (2021). The fundamental variable of stress detection in health information system to measure health worker's current mental health. International Journal of Medical Engineering and Informatics, 13(5), 397-409.
Popescu, C., El-Chaarani, H., El-Abiad, Z., & Gigauri, I. (2022). Implementation of health information systems to improve patient identification. International Journal of Environmental Research and Public Health, 19(22), 15236.
Rahimi, B., Nadri, H., Afshar, H. L., & Timpka, T. (2018). A systematic review of the technology acceptance model in health informatics. Applied clinical informatics, 9(03), 604-634.
Sanjuluca, T. H. P., de Almeida, A. A., & Cruz-Correia, R. (2022). Assessing the use of hospital information systems (HIS) to support decision-making: A cross-sectional study in public hospitals in the Huíla Health Region of southern Angola. In Healthcare (Vol. 10, No. 7, p. 1267). MDPI.
Sıcakyüz, Ç., & Yüregir, O. H. (2020). Exploring resistance factors on the usage of hospital information systems from the perspective of the Markus’s Model and the Technology Acceptance Model. Journal of Entrepreneurship, Management and Innovation, 16(2), 93-131.
Walle, A. D., Demsash, A. W., Ferede, T. A., & Wubante, S. M. (2023). Healthcare professionals' satisfaction toward the use of district health information system and its associated factors in Southwest Ethiopia: using the information system success model. Frontiers in Digital Health, 5, 1140933.
Wijaya, I. M. (2025). Kesiapan Rumah Sakit Dalam Implementasi Sistem Kelas Rawat Inap Standar (Kris) Di Rumah Sakit Tk. Ii 14.05. 01 Pelamonia Kota Makassar (Doctoral Dissertation, Institut Ilmu Kesehatan Pelamonia).
Yu, Q., Huang, C., Tian, Y., Yang, J., Li, X., Ning, M., & Li, Y. (2024). Factors associated with clinical nurse’s mental health: a qualitative study applying the social ecological model. BMC nursing, 23(1), 330.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 JOURNAL OF Mental Health Concerns
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
