Using an Extended Technology Acceptance Model to Uncover Variables Influencing Physicians’ Use Of EHR in Jordan: Insights from Alberta, Canada

Authors

Majed Kamel Ali Al-Azzam, Department of Business Administration, Faculty of Business, Yarmouk University, Irbid, JordanFollow
Tariq K. Al-Manasra, Cumming School of Medicine, University of Calgary, Calgary, CanadaFollow
Mohammad Amhamoud Mked Al-Alwan, Department of Management Information Systems, College of Business Administration & Economics, Al Hussein Bin Talal University, Maan, JordanFollow
Menahi Mosallam Alqahtani, Management Department, Management Science, Community College of Qatar, Doha, QatarFollow
Amr H. Zyoud, Department of Primary Care Nursing, Faculty of Nursing, Al-Ahliyya Amman University, Amman, JordanFollow
Farah faisal Alathamneh, Department of Business Administration, School of Business, Al al-Bayt University, Mafraq, JordanFollow

Abstract

Adoption rates for electronic health records (EHR) remain low in developing nations, even though health information technologies undoubtedly enhance the quality of service delivery and healthcare institutions’ overall efficiency. In this research, researchers employed a technology acceptance integrated model to analyze what factors are most important in encouraging physicians in Jordan to adopt EHR. This framework was created after a thorough review of the relevant literature and with input from physicians in Alberta, Canada, a province with an openly disclosed high rate of electronic health record adoption. To achieve its aim, the present study used a quantitative correlational research strategy. Data were acquired from a convenient sample size of 413 web-based survey participants recruited from the target population of physicians practicing in the public and private healthcare sectors in Jordan. The study’s hypotheses were tested with structural equation modeling. Physicians’ behavioral intentions were shown to be strongly predicted by factors including perceived usefulness, perceived ease of use, perceived ’privacy and security,’ financial incentives, and self-efficacy, which collectively accounted for 57.8% of the total variance in behavioral intention. Perceived usefulness had the highest influence on intentions, followed by self-efficacy, perceived ”privacy and security,” and perceived ease of use, with financial incentives having the smallest impact on intentions. Accordingly, healthcare practitioners must consider these variables while developing and validating interpretations about HER adoption. This study concludes with several implications for healthcare directors, policymakers, and providers of health information systems, in addition to suggestions for future research areas.

Recommended Citation

Kamel Ali Al-Azzam, Majed; K. Al-Manasra, Tariq; Amhamoud Mked Al-Alwan, Mohammad; Mosallam Alqahtani, Menahi; H. Zyoud, Amr; and faisal Alathamneh, Farah (2023) "Using an Extended Technology Acceptance Model to Uncover Variables Influencing Physicians’ Use Of EHR in Jordan: Insights from Alberta, Canada," Information Sciences Letters: Vol. 12 : Iss. 6 , PP -.
Available at: https://digitalcommons.aaru.edu.jo/isl/vol12/iss6/9