Investigating the Impact of Perceived Effectiveness of Telemedicine Services on the Behavioural Intentions of Patients With the Moderating Role of Ease of Registration and Structural Assurance
DOI:
https://doi.org/10.51137/wrp.ijdht.590Keywords:
Telemedicine Services, Behavioural Intentions, Structural Assurance, Adaptability, AcceptabilityAbstract
Recently, telemedicine services have drawn more and more attention. However, the causes of the acceptability and adaptability of mobile medical services are not well understood. Some important services aim to extend the patient-physician relationship beyond the traditional clinic environment. To fill this research gap, this study proposes a research model for predicting the ‘perceived effectiveness of telemedicine services on the behavioural attention of patients with the moderating role of ease of registration and structural assurance’. The study had a sample size of 273 Pakistani telemedicine users, data were collected through online questionnaires by convenient sampling. Result analysis was carried out using SPSS version 22. Correlation and moderated regression analysis were performed to test hypotheses. It was evident from the analysed results that structural assurance has a significant positive impact on the behavioural intentions of patients while ease of registration has no impact. The limitations were the small sample size and common method bias due to self-report. The findings have both theoretical and practical implications that may guide practitioners and researchers to understand behavioural intentions of patients. It was suggested that more research can be done using more variables and larger sample size.
References
Abdool, S., Abdallah, S., Akhlaq, S., & Razzak, H. A. (2021). User acceptance level of and attitudes towards telemedicine in the United Arab Emirates: a Quantitative Study. Sultan Qaboos University Medical Journal, 21(2), e203.
Ahani, A., Nilashi, M., Zogaan, W. A., Samad, S., Aljehane, N. O., Alhargan, A., Mohd, S., Ahmadi, H., & Sanzogni, L. (2021). Evaluating medical travelers’ satisfaction through online review analysis. Journal of Hospitality and Tourism Management, 48, 519-537.
Chaouali, W., Yahia, I. B., & Souiden, N. (2016). The interplay of counter-conformity motivation, social influence, and trust in customers' intention to adopt Internet banking services: The case of an emerging country. Journal of Retailing and Consumer Services, 28, 209-218.
Chin, S. W. (2019). A comparison of change detection techniquies to detect illegal landfilling in rural areas: a case study in Hong Kong.
Grigsby, J., Kaehny, M. M., Sandberg, E. J., Schlenker, R. E., & Shaughnessy, P. W. (1995). Effects and effectiveness of telemedicine. Health Care Financing Review, 17(1), 115.
Hosseini, H., & Kubavat, A. (2022). Why Do People of Asian Descent Not Utilize Mental Health Treatments Compared to Other Ethnic Groups in the United States? Hospital Topics, 1-6.
Kamal, S. A., Shafiq, M., & Kakria, P. (2020). Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM). Technology in Society, 60, 101212.
Koester, N., & Salge, O. (2020). Building Trust in Intelligent Automation: Insights into Structural Assurance Mechanisms for Autonomous Vehicles.
Kohnke, A., Cole, M. L., & Bush, R. (2014). Incorporating UTAUT predictors for understanding home care patients' and clinician's acceptance of healthcare telemedicine equipment. Journal of technology management & innovation, 9(2), 29-41.
Kumar, M., & Pandey, K. M. (2024). Analysing the Impact and Efficacy of Telemedicine through Data Analysis. Int. J. Prev. Med. Health, 5, 10-15.
Nanda, M., Singhal, A., & Sharma, R. (2021). A Paradox of Best Healthcare Systems and Large COVID-19 Burden: Review of 1 Year of COVID-19 Epidemiology and Public Health Response in Europe. Available at SSRN 3827869.
Nielsen, B. B. (2011). Trust in strategic alliances: Toward a co-evolutionary research model. Journal of Trust Research, 1(2), 159-176.
Ouimet, A. G., Wagner, G., Raymond, L., & Pare, G. (2020). Investigating patients’ intention to continue using teleconsultation to anticipate postcrisis momentum: Survey study. Journal of medical Internet research, 22(11), e22081.
Purwanto, E., & Budiman, V. (2020). Applying the technology acceptance model to investigate the intention to use e-health: a conceptual framework. Technology Reports of Kansai University, 62(05), 2569-2580.
Rahi, S., Khan, M. M., & Alghizzawi, M. (2021). Factors influencing the adoption of telemedicine health services during COVID-19 pandemic crisis: an integrative research model. Enterprise Information Systems, 15(6), 769-793.
Ramírez-Rivas, C., Alfaro-Pérez, J., Ramírez-Correa, P., & Mariano-Melo, A. (2021). Predicting telemedicine adoption: an empirical study on the moderating effect of plasticity in brazilian patients. Journal of Information Systems Engineering and Management, 6(1), em0135.
Sha, W. (2009). Types of structural assurance and their relationships with trusting intentions in business-to-consumer e-commerce. Electronic Markets, 19(1), 43-54.
Shiferaw, K. B., Mengiste, S. A., Gullslett, M. K., Zeleke, A. A., Tilahun, B., Tebeje, T., Wondimu, R., Desalegn, S., & Mehari, E. A. (2021). Healthcare providers’ acceptance of telemedicine and preference of modalities during COVID-19 pandemics in a low-resource setting: An extended UTAUT model. Plos one, 16(4), e0250220.
Suroso, J. S., & Sukmoro, T. C. (2021). Factors affecting behavior of the use of healthcare mobile application technology in Indonesian society. Journal of Theoretical and Applied Information Technology, 99(15), 3923-3934.
Van Velsen, L., Wildevuur, S., Flierman, I., Van Schooten, B., Tabak, M., & Hermens, H. (2015). Trust in telemedicine portals for rehabilitation care: an exploratory focus group study with patients and healthcare professionals. BMC medical informatics and decision making, 16(1), 1-12.
Wu, D., Gu, H., Gu, S., & You, H. (2021). Individual motivation and social influence: A study of telemedicine adoption in China based on social cognitive theory. Health Policy and Technology, 10(3), 100525.
Yee, T. S., Seong, L. C., & Chin, W. S. (2019). Patient’s intention to use mobile health app. Journal of Management Research, 11(3), 18-35.
Zobair, K. M., Sanzogni, L., Houghton, L., Sandhu, K., & Islam, M. J. (2021). Health Seekers’ Acceptance and Adoption Determinants of Telemedicine in Emerging Economies. Australasian Journal of Information Systems, 25.
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Copyright (c) 2026 Sundus Khan, Dr Aleena Khan, Muhammad Arslan Munir (Author)
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