A Modified UTAUT Model for Hospital Information Systems Geared Towards Motivating Patient Loyalty

Document Type : Research Paper

Authors

1 PhD Candidate, College of Computing & Informatics, University Tenaga Nasional, Selangor, Malaysia

2 Senior Lecturer, College of Computing & Informatics, University Tenaga Nasional, Selangor, Malaysia

3 Senior Lecturer, College of Computing & Informatics, University Tenaga Nasional, Selangor, Malaysia.

4 Senior Lecturer, Advanced Informatics Department, Razak Faculty of Technology and Informatics, University Technology Malaysia.

Abstract

Healthcare service institutions (HSIs) have sought ways to motivate patient loyalty in response to surging rates of medical tourism. Previous research indicates that Hospital Information System (HIS) is essential for HSIs to gather, measure, and analyze the massive amounts of data required to generate patient loyalty. There is currently no consensus on the factors that comprise HIS specifically geared towards motivating patient loyalty (HISPL). Furthermore, HIS requires full adoption by HSI staff to be effective. Thus, to reduce wastage of HSI resources, it is necessary to predict whether a given HIS specifically geared towards motivating patient loyalty is likely to be adopted. The purpose of this study is to reveal the factors that comprise HISPL and to modify the Unified Theory of Acceptance and Use of Technology (UTAUT) model to help predict the likelihood of an HISPL to be fully adopted by HSI staff. The results revealed that pertinent HISPL factors are capability, configurability, ease of use/help desk availability and competence (EU), and accessibility/shareability (AS). Using these factors, the UTAUT model was modified to fit the specific needs of HISPL. The modifications are theoretical and will have to be validated in future empirical studies.

Keywords

References

Abramson, E. L., Edwards, A., Silver, M., & Kaushai, R. (2014) Trending health information 
technology adoption among New York nursing homes. The American Journal of Managed Care, 20 (11 Spec No. 17), eSP53-9.
Ahlan, A. R., & Ahmad, B. I. E. (2014). User acceptance of Health Information Technology 
(HIT) in developing countries: a conceptual model. Procedia Technology, 16, 1287-1296.
Ahlan, A. R., & Ahmad, B. I. E. (2015). An overview of patient acceptance of health information 
technology in developing countries: A review and conceptual model. International Journal of Information Systems and Project Management, 3(1), 29-48.
Ahmadi, H., Nilashi, M., & Ibrahim, O. (2015). Organizational decision to adopt hospital 
information system: An empirical investigation in the case of Malaysia public hospitals. International Journal of Medical Informatics 84(3), 166-188.
Alam, M. Z., Hu, W., & Barua, Z (2018). Using the UTAUT model to determine factors 
affecting acceptance and use of mobile health (mHealth) services in Bangladesh. Journal of Studies in Social Sciences, 17(2), 137-172. 
Antwi, H. A., Yiranbon, E., Lulin, Z., Maxwell, B. A., Agebase, A. J., Yaw, N. E., & 
Vakalalabure, T. T. (2014). Innovation diffusion among healthcare workforce: Analysis of adoption and use of medical ICT in Ghanaian tertiary hospitals. International Journal of Academic Research in Business and Social Sciences, 4(7), 63.
Asnawi, A., Awang, Z., Afthanorhan, A., Mohamad, M., & Karim, F. (2019). The influence of 
hospital image and service quality on patients’ satisfaction and loyalty. Management Science Letters, 9(6), 911-920.
Bawack, R. E., & Kamdjoug, J. R. K. (2018). Adequacy of UTAUT in clinician adoption of 
health information systems in developing countries: The case of Cameroon. International Journal of Medical Informatics, 109, 15-22.
Bezboruah, K. C., & Hamann, D. (2018). Health IT adoption in nursing homes: The role of IT 
vendors. International Journal of Innovation and Technology Management, 15(01), 1850001.
Cantiello, J., Kitsantas, P., Moncada, S., & Abdul, S. (2016). The evolution of quality 
improvement in healthcare: patient-centered care and health information technology applications. Journal of Hospital Administration, 5(2), 62-68..
Cimperman, M., Brenčič, M. M., & Trkman, P. (2016). Analyzing older users’ home telehealth 
services acceptance behavior—applying an Extended UTAUT model. International Journal of Medical Informatics, 90, 22-31.
Duarte, J. G., & Azevedo, R. S. (2017). Electronic health record in the internal medicine clinic of 
a Brazilian university hospital: Expectations and satisfaction of physicians and patients. International Journal of Medical Informatics, 102, 80-86.
Farzandipour, M., Meidani, Z., Gilasi, H., & Dehghan, R. (2017). Evaluation of key capabilities 
for hospital information system: A milestone for meaningful use of information technology. Annals of Tropical Medicine and Public Health, 10(6), 1579.
Handayani, P. W., Hidayanto, A. N., Pinem, A. A., Hapsari, I. C., Sandhyaduhita, P. I., & Budi, 
I. (2017). Acceptance model of a hospital information system. International Journal of Medical Informatics, 99, 11-28.
Hertzum, M., & Simonsen, J. (2019). Configuring information systems and work practices for 
each other: What competences are needed locally?. International Journal of Human-Computer Studies, 122, 242-255.
Holmgren, A.J., Patel, V., Charles, D., & Adler-Milstein, J. (2016). US hospital engagement in 
core domains of interoperability. The American Journal of Managed Care, 22(12), e395-e402. 
Hurst, K., Kreckler, S., & Handa, A. (2016). Improving information availability in vascular 
surgical clinics. A service evaluation and improvement project. BMJ Open Quality, 5(1), u210012-w4177.
Jewer, J. (2018). Patients’ intention to use online postings of ED wait times: A modified UTAUT 
model. International Journal of Medical Informatics 112, 34-39.
Juhana, D., Manik, E., Febrinella, C., & Sidharta, I. (2015). Empirical study on patient 
satisfaction and patient loyalty on public hospital in Bandung, Indonesia. International Journal of Applied Business and Economic Research, 13(6), 4305-4326.
Kranz, A. M., Dalton, S., Damberg, C., & Timbie, J. W. (2018). Using health IT to coordinate 
care and improve quality in safety-net clinics. The Joint Commission Journal on Quality and Patient Safety, 44(12), 731-740.
Liebe, J. D., Esdar, M., & Hübner, U. (2018). Measuring the availability of electronic patient 
data across the hospital and throughout selected clinical workflows. Studies in Health Technology and Informatics, 253, 99-103.
Lubis, A. N., Lumbanraja, P., Lubis, R. R., & Hasibuan, B. K. (2017). A study of service quality, 
corporate social responsibility, hospital image, and hospital value creation in Medan. European Research Studies, 20(4B), 125-133.
Malik, S. A., Nordin, A., & Al-Ehaidib, R. N. (2019). Requirements Engineering (RE) process 
for the adaptation of The Hospital Information System (HIS). International Journal on Advanced Science, Engineering and Information Technology, 9(1), 8-17.    
Meesala, A., & Paul, J. (2018). Service quality, consumer satisfaction and loyalty in hospitals: 
Thinking for the future. Journal of Retailing and Consumer Services, 40, 261-269.
Narattharaksa, K. C., & Speece, M. (2016). Vendor relations and implementation of health IT 
projects. Retrieved from https://www.researchgate.net/profile/Mark_Speece2/publication/292988984_Vendor_relations_and_implementation_of_health_IT_projects/links/56b49ad008ae922e6c020216.pdf
Rahmadita, A., Yanuar, F., & Devianto, D. (2018). The construction of patient loyalty model 
using Bayesian structural equation modeling approach. CAUCHY, 5(2), 73-79.
Roesems-Kerremans, G. (2016). Big data in healthcare. Journal of Healthcare Communications, 
1(4), 33.
Shahzad, K., Jianqiu, Z., Zia, M.A., Shaheen, A., & Sardar, T. (2018). Essential factors for 
adoption hospital information system: a case study from Pakistan. International Journal of Computers and Applications, 1-12.
Sharifian, R., Askarian, F., Nematolahi, M., & Farhadi, P. (2014). Factors influencing nurses' 
acceptance of hospital information systems in Iran: application of the Unified Theory of Acceptance and Use of Technology. Health Information Management Journal, 43(3), 23-28.
Tosyali, H., Sütcü, C. S., & Tosyali, F. (2019). Patient loyalty in the hospital patient relationship: 
The mediating role of social media. ErciyesİletişimDergisi, 6(1), 783-804.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of 
information technology: Toward a unified view. MIS Quarterly, 425-478.
Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and use of information 
technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
Venkatesh, V., Sykes, T. A., & Zhang, X. (2011). 'Just what the doctor ordered': a revised 
UTAUT for EMR system adoption and use by doctors. In: 2011 44th Hawaii International Conference on System Sciences (pp. 1-10). IEEE.
Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and 
potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126, 3-13.
Wijaya, E., & Sulistyowati N. (2019). The effect of application of Hospital Information Systems 
on operational performance through user satisfaction. European Journal of Business and Management 11(36), 71-78.
Williams, M.D., Rana, N., & Dwivedi, Y.K. (2015). The unified theory of acceptance and use of 
technology (UTAUT): a literature review. Journal of Enterprise Information Management, 28(3), 443-488.
Zakaria, N., & Yusof, S. A. M. (2016). Understanding technology and people issues in hospital 
information system (HIS) adoption: Case study of a tertiary hospital in Malaysia. Journal of Infection and Public Health, 9(6), 774-780.
Zhou, L. L., Owusu-Marfo, J., Antwi, H. A., Antwi, M. O., Kachie, A. D. T., & Ampon-Wireko, 
S. (2019). Assessment of the social influence and facilitating conditions that support nurses’ adoption of hospital electronic information management systems (HEIMS) in Ghana using the unified theory of acceptance and use of technology (UTAUT) model. BMC Medical Informatics and Decision Making, 19(1), 230.

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