Department of Information Management, School of Economics and Management, Beijing Jiaotong University, Beijing, 100044, China.
School of Management and E-business, Zhejiang Gongshang University, Hangzhou, Zhejiang, China.
BMC Health Serv Res. 2023 May 23;23(1):524. doi: 10.1186/s12913-023-09469-6.
Online health communities (OHCs) provide platforms for patients to seek advice from physicians and receive professional suggestions online. It can improve the efficiency of patients' diagnosis of simple diseases and alleviate hospital congestion. However, few empirical studies have comprehensively explored the factors influencing patients' intention to use OHCs through objective data. This study aims to fill this gap by identifying key factors that influence patients' acceptance of OHCs and proposing effective ways to promote the applications of OHCs in China.
Based on the Unified Theory of Acceptance and Usage of Technology (UTAUT), extended with additional constructs identified with patients' information demands in OHCs, this study developed a research model and proposed nine hypotheses. An online survey involving 783 valid responses was conducted in China to collect data to validate the proposed model. Confirmatory factor analysis and partial least squares (PLS) path model were conducted for instrument validation and hypothesis testing.
Price value, eHealth literacy, and performance expectancy are the most prominent constructs in the study context. Interestingly, relation quality was also found to have a significant positive relationship with behavioral intention.
Based on these findings, OHC operators need to create a user-friendly platform, improve information quality, set reasonable prices, and establish consummate security systems. Physicians and related organizations can raise awareness and assist patients in developing the skills to appropriately comprehend and utilize information in OHCs. This study contributes to both technology adoption theory and practice.
在线健康社区(OHC)为患者提供了向医生寻求建议并在线获得专业建议的平台。它可以提高患者简单疾病诊断的效率,缓解医院拥堵。然而,很少有实证研究通过客观数据全面探讨影响患者使用 OHC 意愿的因素。本研究旨在通过识别影响患者接受 OHC 的关键因素,并提出有效促进 OHC 在我国应用的方法,填补这一空白。
本研究以技术接受统一理论(UTAUT)为基础,扩展了患者在 OHC 中信息需求确定的附加结构,建立了研究模型并提出了九个假设。在中国进行了一项涉及 783 份有效回复的在线调查,以收集数据来验证所提出的模型。进行了验证性因子分析和偏最小二乘法(PLS)路径模型,以进行仪器验证和假设检验。
在研究背景下,价格价值、电子健康素养和绩效预期是最突出的结构。有趣的是,关系质量也被发现与行为意图呈显著正相关。
基于这些发现,OHC 运营商需要创建一个用户友好的平台,提高信息质量,制定合理的价格,并建立完善的安全系统。医生和相关组织可以提高认识并帮助患者发展适当理解和利用 OHC 中信息的技能。本研究为技术采用理论和实践做出了贡献。