Factors Affecting the Adoption of Teledentistry Based on the Unified Theory of Acceptance and Use of Technology Model

Rayan Sharka; Lamer Sedayo; Samar Aldahwani; Laila Alyamani; Rahaf Budayri; Alaa Qari

doi:10.7759/cureus.46016

Factors Affecting the Adoption of Teledentistry Based on the Unified Theory of Acceptance and Use of Technology Model

Cureus. 2023 Sep 26;15(9):e46016. doi: 10.7759/cureus.46016. eCollection 2023 Sep.

Authors

Rayan Sharka¹, Lamer Sedayo¹, Samar Aldahwani¹, Laila Alyamani¹, Rahaf Budayri¹, Alaa Qari¹

Affiliation

¹ Dentistry, Faculty of Dental Medicine, Umm Al-Qura University, Makkah, SAU.

Abstract

Objectives: The rise of teledentistry initiatives within the healthcare system is being recognized as healthcare institutions strive to decrease costs and enhance operational effectiveness. While previous research endeavors have examined various variables influencing the adoption of teledentistry, there exists a dearth of empirical studies that comprehensively investigate the success factors facilitating the acceptance of teledentistry. This research aimed to examine the factors that influence the behavioral intention of undergraduate dental students and interns to utilize teledentistry using the unified theory of acceptance and use of technology (UTAUT) as a theoretical framework.

Methods: A cross-sectional survey study was conducted in early 2023. An online survey was emailed to Bachelor of Dental Surgery (BDS) students from the fourth to sixth years and interns (N = 199) at a dental school in Saudi Arabia. A total of 187 students have responded (response rate: 93.9%). The survey comprised questions and scales that measured the UTAUT constructs of performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), and behavioral intentions (BI). The data were analyzed using SPSS version 28 (IBM Corp., Armonk, NY).

Results: The findings of the study revealed that all UTAUT constructs had strong predictive power in relation to the BI in the decision to adopt teledentistry. Nevertheless, PE and EE were the salient factors. There was a statistically significant relationship between the UTAUT model and the BI, with the model explaining 60% of the variance in the BI (R2 = 0.606, P < 0.001).

Conclusion: The findings revealed that dental students' openness to teledentistry is influenced by their expectations for potential success, the level of work required, and the level of social pressure exerted on them. Thus, a number of different forms of support are required to boost teledentistry's uptake.

Keywords: digital media; educational technology; professional education; technology acceptance; teledentistry.