The influence of system quality characteristics on health care providers’ performance: Empirical evidence from Malaysia

• Published in: Journal of Infection and Public Health
• Main Author: Mohd Salleh M.I.; Zakaria N.; Abdullah R.
• Format: Article
• Language: English
• Published: Elsevier Ltd 2016
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994908879&doi=10.1016%2fj.jiph.2016.09.002&partnerID=40&md5=6cbded7c3c241e88729259ed04d607d3

Background The Ministry of Health Malaysia initiated the total hospital information system (THIS) as the first national electronic health record system for use in selected public hospitals across the country. Since its implementation 15 years ago, there has been the critical requirement for a systematic evaluation to assess its effectiveness in coping with the current system, task complexity, and rapid technological changes. The study aims to assess system quality factors to predict the performance of electronic health in a single public hospital in Malaysia. Methods Non-probability sampling was employed for data collection among selected providers in a single hospital for two months. Data cleaning and bias checking were performed before final analysis in partial least squares-structural equation modeling. Results and conclusions Convergent and discriminant validity assessments were satisfied the required criterions in the reflective measurement model. The structural model output revealed that the proposed adequate infrastructure, system interoperability, security control, and system compatibility were the significant predictors, where system compatibility became the most critical characteristic to influence an individual health care provider's performance. The previous DeLone and McLean information system success models should be extended to incorporate these technological factors in the medical system research domain to examine the effectiveness of modern electronic health record systems. In this study, care providers’ performance was expected when the system usage fits with patients’ needs that eventually increased their productivity. © 2016 King Saud Bin Abdulaziz University for Health Sciences