Joseph Angel M, Alsalman Rasha A, Almasoud Wjoud A, Almutairi Reem, Alammari Rawan B, Deeban Yahya Am, Mustafa Mohammed Z, Thakare Amar A
Department of Dental Restoration and Prosthodontics, College of Dentistry, Majmaah University, Al- Majmaah, Saudi Arabia.
Intern, College of Dentistry, Majmaah University, Al- Majmaah, Saudi Arabia.
Digit Health. 2024 May 8;10:20552076241253739. doi: 10.1177/20552076241253739. eCollection 2024 Jan-Dec.
There are very few scholastic studies applying a theory-driven methodology to analyse the employment of teledentistry in clinical practice by the Saudi dental community. The objective of this research was to predict the employment of teledentistry in clinical practice by the Saudi dental community using the UTAUT (Unified Theory of Acceptance and Use of Technology) model.
A countrywide survey was executed from November 2022 to April 2023 among the dental community (pre-graduate students, graduates, post-graduate students, general dentists, and specialist dentists) involved in clinical practice. The survey employed the UTAUT model, which has four fundamental constructs: performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC). These constructs are known to impact the user's behavioural intention (BI). The four fundamental constructs were independent, and BI was the dependent variable. A Likert scale with five scores was used to record each variable. Descriptive statistics were used to describe all the constructs. Cronbach's alpha scores were used to measure the inner consistency of the Likert scale Simple linear regression and multiple linear regression were used to determine the correlation between all the constructs and the overall model's prediction. The Statistical Package for the Social Sciences was applied for analysis. The study had 80% power and an alpha threshold of .05.
The electronic survey was sent to 3000 participants, out of whom 2143 responded (response rate = 71.43%). PE (= 26%, < .01) was the most significant predictor of the Saudi dental community BI to employ teledentistry in clinical practice, followed by SI (= 24%, < .01), EE (= 19%, < .01) and FC (= 6%, < .01). With statistically significant predictive power, the UTAUT model explained 32% of the variance in the BI (= 0.32, < .01).
Each UTAUT construct and the entire model were significantly correlated with the employment of teledentistry in clinical practice by the Saudi dental community. PE had the most salient correlation, followed by SI, EE and FC. The participants have perceived the benefits of teledentistry, increasing the future likelihood of its utilisation. The Saudi government could consider the UTAUT constructs to promote teledentistry in tandem with Vision 2030.
很少有学术研究运用理论驱动的方法来分析沙特牙科界在临床实践中对远程牙科的应用情况。本研究的目的是使用技术接受与使用统一理论(UTAUT)模型预测沙特牙科界在临床实践中对远程牙科的应用情况。
2022年11月至2023年4月,在参与临床实践的牙科界(本科学生、毕业生、研究生、普通牙医和专科牙医)中开展了一项全国性调查。该调查采用了UTAUT模型,该模型有四个基本要素:绩效期望(PE)、努力期望(EE)、社会影响(SI)和促进条件(FC)。已知这些要素会影响用户的行为意向(BI)。这四个基本要素是自变量,BI是因变量。使用五分制的李克特量表来记录每个变量。描述性统计用于描述所有要素。克朗巴哈系数得分用于衡量李克特量表的内部一致性。简单线性回归和多元线性回归用于确定所有要素之间的相关性以及整个模型的预测能力。使用社会科学统计软件包进行分析。该研究的检验效能为80%,α阈值为0.05。
电子调查问卷发送给了3000名参与者,其中2143人回复(回复率=71.43%)。PE(=26%,<0.01)是沙特牙科界在临床实践中应用远程牙科的行为意向的最显著预测因素,其次是SI(=24%,<0.01)、EE(=19%,<0.01)和FC(=6%,<0.01)。UTAUT模型具有统计学上显著的预测能力,解释了行为意向中32%的方差(=0.32,<0.01)。
UTAUT的每个要素以及整个模型都与沙特牙科界在临床实践中应用远程牙科显著相关。PE的相关性最为显著,其次是SI、EE和FC。参与者已经认识到远程牙科的益处,这增加了其未来被利用的可能性。沙特政府可以考虑UTAUT要素,以与2030年愿景同步促进远程牙科的发展。