Predicting healthcare professionals’ acceptance towards electronic personal health record systems in a resource-limited setting: using modified technology acceptance model

Objectives Personal health record systems allow users to manage their health information in a confidential manner. However, there is little evidence about healthcare providers’ intentions to use such technologies in resource-limited settings. Therefore, this study aimed to assess predicting healthcare providers’ acceptance of electronic personal health record systems. Methods An institutional-based cross-sectional study was conducted from 19 July to 23 August 2022 at teaching hospitals in the Amhara regional state of Ethiopia. A total of 638 health professionals participated in the study. Simple random sampling techniques were used to select the study participants. Structural equation modelling analysis was employed using AMOS V.26 software. Result Perceived ease of use had a significant effect on the intention to use electronic personal health records (β=0. 377, p<0.01), perceived usefulness (β=0.104, p<0.05) and attitude (β=0.204, p<0.01); perceived ease of use and information technology experience had a significant effect on perceived usefulness (β=0.077, p<0.05); and digital literacy (β=0.087, p<0.05) and attitude had also a strong effect on intention to use electronic personal health records (β=0.361, p<0.01). The relationship between perceived ease of use and the intention to use was mediated by attitude (β=0.076, p<0.01). Conclusion Perceived ease of use, attitude and digital literacy had a significant effect on the intention to use electronic personal health records. The perceived ease of use had a greater influence on the intention to use electronic personal health record systems. Thus, capacity building and technical support could enhance health providers’ acceptance of using electronic personal health records in Ethiopia.

[1]  R. Osborne,et al.  Digital Health Literacy as a Predictor of Awareness, Engagement, and Use of a National Web-Based Personal Health Record: Population-Based Survey Study , 2022, Journal of medical Internet research.

[2]  T. Salgado,et al.  Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature. , 2022, Applied clinical informatics.

[3]  Ali Farooq,et al.  Health Care Providers’ Acceptance of a Personal Health Record: Cross-sectional Study , 2021, Journal of medical Internet research.

[4]  V. Curcin,et al.  Impact of patient access to their electronic health record: systematic review , 2021, Informatics for health & social care.

[5]  Mulugeta Hayelom Kalayou,et al.  The Applicability of the Modified Technology Acceptance Model (TAM) on the Sustainable Adoption of eHealth Systems in Resource-Limited Settings , 2020, Journal of multidisciplinary healthcare.

[6]  V. Gay,et al.  Factors affecting the acceptance of integrated electronic personal health records in Saudi Arabia: The impact of e-health literacy , 2020, Health information management : journal of the Health Information Management Association of Australia.

[7]  Shegaw Anagaw Mengiste,et al.  Intention to use electronic medical record and its predictors among health care providers at referral hospitals, north-West Ethiopia, 2019: using unified theory of acceptance and use technology 2(UTAUT2) model , 2020, BMC Medical Informatics and Decision Making.

[8]  Habibur Rahman,et al.  Investigating factors influencing the physicians' adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study , 2019, Int. J. Inf. Manag..

[9]  A. Tubaishat,et al.  Perceived usefulness and perceived ease of use of electronic health records among nurses: Application of Technology Acceptance Model , 2018, Informatics for health & social care.

[10]  Johanna Kaipio,et al.  Health professionals' expectations of a national patient portal for self-management , 2018, Int. J. Medical Informatics.

[11]  Raed Ali Al-Khasawneh,et al.  Healthcare professionals’ acceptance Electronic Health Records system: Critical literature review (Jordan case study) , 2018 .

[12]  Ejaz Ahmed,et al.  Investigating the influence of the most commonly used external variables of TAM on students' Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios , 2016, Comput. Hum. Behav..

[13]  Xiaohui Liu,et al.  A cross-cultural examination of the impact of social, organisational and individual factors on educational technology acceptance between British and Lebanese university students , 2015, Br. J. Educ. Technol..

[14]  J. Kaltschmidt,et al.  Health workers’ knowledge of and attitudes towards computer applications in rural African health facilities , 2014, Global health action.

[15]  Kim M. Nazi The Personal Health Record Paradox: Health Care Professionals’ Perspectives and the Information Ecology of Personal Health Record Systems in Organizational and Clinical Settings , 2013, Journal of medical Internet research.

[16]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[17]  M. Wynia,et al.  Dreams and Nightmares: Practical and Ethical Issues for Patients and Physicians Using Personal Health Records , 2010, Journal of Law, Medicine & Ethics.

[18]  John H Stone,et al.  Communication between physicians and patients in the era of E-medicine. , 2007, The New England journal of medicine.

[19]  Rebecca Weston,et al.  A Brief Guide to Structural Equation Modeling , 2006 .

[20]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[21]  Mohamad Zaid Mustafa,et al.  Structural Equation Modelling Using AMOS: Confirmatory Factor Analysis for Taskload of Special Education Integration Program Teachers , 2020 .

[22]  K. Shiferaw,et al.  Modeling predictors of acceptance and use of electronic medical record system in a resource limited setting: Using modified UTAUT model , 2019, Informatics in Medicine Unlocked.

[23]  Erbuğ Çelebi,et al.  Factors Affecting the Successful Adoption of e-Health Cloud Based Health System From Healthcare Consumers’ Perspective , 2018, IEEE Access.

[24]  Mohamed Khalifa,et al.  Hospital Information Systems (HIS) Acceptance and Satisfaction: A Case Study of a Tertiary Care Hospital , 2015, EUSPN/ICTH.

[25]  Jessica S. Ancker,et al.  Consumer experience with and attitudes toward health information technology: a nationwide survey , 2013, J. Am. Medical Informatics Assoc..