Liu Fei, Kong Xiangyin, Xia Tian, Guo Huijing
School of Economics and Management, Harbin Engineering University, Harbin, China.
School of Management, Harbin Institute of Technology, Harbin, China.
Front Psychol. 2025 Feb 24;16:1500627. doi: 10.3389/fpsyg.2025.1500627. eCollection 2025.
Aligned with the dual-factor model, this study aims to investigate why discharged patients seek online health information, considering the complexity of patients' dilemmas. Additionally, we account for specific cultural context factor in China and seek to examine the role of living with children in mitigating the dilemmas faced by discharged patients in their pursuit of additional online information.
We empirically tested the research model using data collected from 292 discharged patients. The data was examined through structural equation modeling, employing Smart PLS.
The findings suggest that perceived stress facilitates discharged patients' engagement in seeking online health information, whereas resistance to change and learned helplessness impede such behaviors. Furthermore, our analysis reveals that cohabiting with children moderates the effects of resistance to change on online health information-seeking behavior.
In conclusion, this paper extends the literature by examining the role of discharged patients' characteristics on online health information-seeking behaviors. Following the practices in China, this study involves living arrangements (with children) as an essential factor in the research model. This paper offer suggestions to online providers to make health-related information more suitable for discharged patients.
本研究与双因素模型相一致，旨在探讨出院患者寻求在线健康信息的原因，同时考虑到患者困境的复杂性。此外，我们考虑了中国特定的文化背景因素，并试图研究与子女同住对缓解出院患者在寻求更多在线信息时所面临困境的作用。
我们使用从292名出院患者收集的数据对研究模型进行了实证检验。通过结构方程模型，采用Smart PLS对数据进行了分析。
研究结果表明，感知压力促进出院患者参与寻求在线健康信息，而变革阻力和习得性无助则阻碍此类行为。此外，我们的分析表明，与子女同住会调节变革阻力对在线健康信息寻求行为的影响。
总之，本文通过研究出院患者特征对在线健康信息寻求行为的作用，扩展了相关文献。按照中国的做法，本研究将居住安排（与子女同住）作为研究模型中的一个重要因素。本文为在线信息提供者提供了建议，以使健康相关信息更适合出院患者。
