Hayotte Meggy, Thérouanne Pierre, Gray Laura, Corrion Karine, d'Arripe-Longueville Fabienne
Laboratoire Motricité Humaine Expertise Sport Santé, Université Côte d'Azur, Nice, France.
Laboratoire d'Anthropologie et de Psychologie Cliniques, Cognitives et Sociales, Université Côte d'Azur, Nice, France.
J Med Internet Res. 2020 Apr 15;22(4):e16520. doi: 10.2196/16520.
Technology-based physical activity suggests new opportunities for public health initiatives. Yet only 45% of technology interventions are theoretically based, and the acceptability mechanisms have been insufficiently studied. Acceptability and acceptance theories have provided interesting insights, particularly the unified theory of acceptance and use of technology 2 (UTAUT2). In several studies, the psychometric qualities of acceptability scales have not been well demonstrated.
The aim of this study was to adapt the UTAUT2 to the electronic health (eHealth) context and provide a preliminary validation of the eHealth acceptability scale in a French sample.
In line with the reference validation methodologies, we carried out the following stages of validating the scale with a total of 576 volunteers: translation and adaptation, dimensionality tests, reliability tests, and construct validity tests. We used confirmatory factor analysis to validate a 22-item instrument with 7 subscales: Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, and Habit.
The dimensionality tests showed that the bifactor confirmatory model presented the best fit indexes: χ=434.86 (P<.001), χ/df=2.51, comparative fit index=.97, Tucker-Lewis index=.95, and root mean square error of approximation=.053 (90% CI .047-.059). The invariance tests of the eHealth acceptability factor structure by sex demonstrated no significant differences between models, except for the strict model. The partial strict model demonstrated no difference from the strong model. Cronbach alphas ranged from .77 to .95 for the 7 factors. We measured the internal reliability with a 4-week interval. The intraclass correlation coefficients for each subscale ranged from .62 to .88, and there were no significant differences in the t tests from time 1 to time 2. Assessments for convergent validity demonstrated that the eHealth acceptability constructs were significantly and positively related to behavioral intention, usage, and constructs from the technology acceptance model and the theory of planned behavior.
The 22-item French-language eHealth acceptability scale, divided into 7 subscales, showed good psychometric qualities. This scale is thus a valid and reliable tool to assess the acceptability of eHealth technology in French-speaking samples and offers promising avenues in research, clinical practice, and marketing.
基于技术的体育活动为公共卫生倡议带来了新机遇。然而，只有45%的技术干预措施有理论依据，且对其可接受性机制的研究尚不充分。可接受性和接受理论提供了有趣的见解，尤其是技术接受与使用统一理论2（UTAUT2）。在多项研究中，可接受性量表的心理测量质量尚未得到充分证明。
本研究旨在使UTAUT2适用于电子健康（eHealth）背景，并在法国样本中对eHealth可接受性量表进行初步验证。
根据参考验证方法，我们对总共576名志愿者进行了量表验证的以下阶段：翻译与改编、维度测试、信度测试和结构效度测试。我们使用验证性因子分析来验证一个包含22个条目的工具，该工具具有7个分量表：绩效期望、努力期望、社会影响、促进条件、享乐动机、价格价值和习惯。
维度测试表明，双因子验证模型呈现出最佳拟合指数：χ=434.86（P<.001），χ/df=2.51，比较拟合指数=.97，塔克-刘易斯指数=.95，近似均方根误差=.053（90%CI.047-.059）。按性别对eHealth可接受性因子结构进行的不变性测试表明，除严格模型外，各模型之间无显著差异。部分严格模型与强模型无差异。7个因子的克朗巴哈α系数范围为.77至.95。我们以4周为间隔测量了内部信度。每个分量表的组内相关系数范围为.62至.88，从时间1到时间2的t检验无显著差异。收敛效度评估表明，eHealth可接受性结构与行为意向、使用情况以及技术接受模型和计划行为理论中的结构显著正相关。
这个包含22个条目的法语eHealth可接受性量表分为7个分量表，显示出良好的心理测量质量。因此，该量表是评估法语样本中eHealth技术可接受性的有效且可靠的工具，为研究、临床实践和市场营销提供了有前景的途径。
