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Acceptance towards digital health interventions – Model validation and further development of the Unified Theory of Acceptance and Use of Technology
Internet Interventions ( IF 5.358 ) Pub Date : 2021-09-20 , DOI: 10.1016/j.invent.2021.100459
Paula Philippi 1 , Harald Baumeister 1 , Jennifer Apolinário-Hagen 2 , David Daniel Ebert 3 , Severin Hennemann 4 , Leonie Kott 1 , Jiaxi Lin 5 , Eva-Maria Messner 1 , Yannik Terhorst 1, 6
Affiliation  

Internet- and mobile-based interventions (IMI) offer an effective way to complement health care. Acceptance of IMI, a key facilitator of their implementation in routine care, is often low. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), this study validates and adapts the UTAUT to digital health care.

Following a systematic literature search, 10 UTAUT-grounded original studies (N = 1588) assessing patients' and health professionals' acceptance of IMI for different somatic and mental health conditions were included. All included studies assessed Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions and acceptance as well as age, gender, internet experience, and internet anxiety via self-report questionnaires. For the model validation primary data was obtained and analyzed using structural equation modeling.

The best fitting model (RMSEA = 0.035, SRMR = 0.029) replicated the basic structure of UTAUT's core predictors of acceptance. Performance Expectancy was the strongest predictor (γ = 0.68, p < .001). Internet anxiety was identified as an additional determinant of acceptance (γ = −0.07, p < .05) and moderated the effects of Social Influence (γ = 0.07, p < .05) and Effort Expectancy (γ = −0.05, p < .05). Age, gender and experience had no moderating effects.

Acceptance is a fundamental prerequisite for harnessing the full potential of IMI. The adapted UTAUT provides a powerful model identifying important factors – primarily Performance Expectancy - to increase the acceptance across patient populations and health professionals.



中文翻译:

对数字健康干预措施的接受——模型验证和技术接受和使用统一理论的进一步发展

基于互联网和移动设备的干预措施 (IMI) 提供了补充医疗保健的有效方法。IMI 是其在日常护理中实施的关键促进因素,但人们对 IMI 的接受度往往较低。本研究基于技术接受和使用统一理论 (UTAUT),验证了 UTAUT 并使其适应数字医疗保健。

 经过系统文献检索后,纳入了10 项以 UTAUT 为基础的原始研究 ( N = 1588),评估患者和卫生专业人员对 IMI 治疗不同躯体和心理健康状况的接受程度。所有纳入的研究都通过自我报告问卷评估了绩效期望、努力期望、社会影响、促进条件和接受度以及年龄、性别、互联网体验和互联网焦虑。为了验证模型,使用结构方程模型获取并分析了主要数据。

最佳拟合模型(RMSEA = 0.035,SRMR = 0.029)复制了 UTAUT 接受度核心预测因子的基本结构。绩效预期是最强的预测因子 (γ = 0.68, p  < .001)。互联网焦虑被认为是接受度的另一个决定因素(γ = -0.07,p < .05),并调节了社会影响力(γ = 0.07, p  < .05)和努力预期(γ = -0.05,p <  .05)的影响 。 05)。年龄、性别和经验没有调节作用。

接受是充分发挥 IMI 潜力的基本先决条件。改编后的 UTAUT 提供了一个强大的模型,可识别重要因素(主要是绩效预期),以提高患者群体和卫生专业人员的接受度。

更新日期:2021-09-21
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