Digital Healthcare Department, BIT Computer Co Ltd, Seoul, Republic of Korea.
Department of Medical Informatics, Kyungpook National University, Daegu, Republic of Korea.
JMIR Mhealth Uhealth. 2020 Jun 4;8(6):e16723. doi: 10.2196/16723.
Health care technologies can help improve workers' health and productivity by supporting workplace health promotion. A personal health record app is used to manage medical data such as results from medical checkups, which facilitates decision making for medical personnel. However, an analysis of users' technology acceptance is required to provide appropriate services based on personal health record apps.
The purpose of this study was to analyze the factors influencing the behavioral intention of health experts and workers to use an app in workers' health centers and to examine differences in their perception of the main variables.
The study involved health experts and workers who visited 21 workers' health centers in Korea to verify a research model in which perceived risk was added to the unified theory of acceptance and use of technology, a representative theory of information technology acceptance. After receiving ethical approval from the Korea National Institute for Bioethics Policy, 1050 questionnaires were distributed over 7 weeks with cooperation of the Korea Occupational Safety and Health Agency. A multiple linear regression analysis and multigroup path analysis were performed to verify the hypotheses, and independent samples t tests were performed to analyze differences between workers' and health experts' perception of the main variables.
The analysis included data from 866 respondents (687 workers and 179 health experts). Effort expectancy (beta=.08, P=.03), social influence (beta=.43, P<.001), performance expectancy (beta=.07, P=.008), and facilitating conditions (beta=.13, P<.001) exerted significant positive effects on behavioral intention, whereas perceived risk (beta=-.29, P<.001) exerted a significant negative effect on behavioral intention. Performance expectancy had a significant effect on path differences depending on gender (critical ratio=-3.38) and age (critical ratio=1.97). Workers' mean scores for the main variables were higher relative to those of health experts for all remaining variables except perceived risk, and significant differences were observed for all remaining variables except facilitating condition.
Social influence exerted the strongest effect on behavioral intention to use the personal health record app. Consequently, it is necessary to coordinate health promotion activities in the workplace as well as the operational direction of community institutions such as in workers' health centers to allow workers to manage their own health via continuous use of the app. In addition, the app should be developed based on a requirement analysis of the balance between both interest groups in consideration of differences in perspective between consumers and service providers.
医疗保健技术可以通过支持工作场所健康促进来帮助改善员工的健康和生产力。个人健康记录应用程序用于管理医疗数据，例如体检结果，这有助于医疗人员做出决策。然而，需要分析用户对个人健康记录应用程序的技术接受度，以便根据个人健康记录应用程序提供适当的服务。
本研究旨在分析健康专家和工人使用工人健康中心应用程序的行为意图的影响因素，并检验主要变量感知差异。
该研究涉及韩国 21 家工人健康中心的健康专家和工人，以验证在信息技术接受的统一理论（接受和使用技术的统一理论）中加入感知风险的研究模型，这是信息技术接受的代表性理论。在获得韩国国家生物伦理政策研究所的伦理批准后，在韩国职业安全与健康局的合作下，在 7 周内分发了 1050 份问卷。进行了多元线性回归分析和多组路径分析来验证假设，并进行了独立样本 t 检验来分析工人和健康专家对主要变量的感知差异。
分析包括来自 866 名受访者（687 名工人和 179 名健康专家）的数据。努力期望（β=0.08，P=0.03）、社会影响（β=0.43，P<.001）、绩效期望（β=0.07，P=0.008）和便利条件（β=0.13，P<.001）对行为意图有显著的正向影响，而感知风险（β=-0.29，P<.001）对行为意图有显著的负向影响。绩效期望对性别（临界比=-3.38）和年龄（临界比=1.97）的路径差异有显著影响。除感知风险外，工人对主要变量的平均得分均高于健康专家，除便利条件外，所有其他变量均存在显著差异。
社会影响对使用个人健康记录应用程序的行为意图有最强的影响。因此，有必要协调工作场所的健康促进活动以及社区机构（如工人健康中心）的运营方向，使工人能够通过持续使用该应用程序管理自己的健康。此外，应该根据消费者和服务提供商之间的观点差异，对两个利益集团的需求进行分析，在此基础上开发该应用程序。
