As people’s health awareness and standard of living improve, mHealth applications are being increasingly used. However, mHealth application services are mainly based on the collection of personal and behavioral data, which conflicts with users’ growing privacy concerns. In that context, this study considers the privacy paradox phenomenon, in which privacy concerns co-exist with disclosure behavior. This study explores the privacy paradox in mHealth applications using an integrated elaboration likelihood model (ELM) from the perspective of privacy calculus and privacy fatigue. Results from the quasi-experiment and partial least squares structural equation modeling reveal that, compared with privacy concerns, perceived benefits have a greater impact on users’ disclosure intention, which further supports the existence of the privacy paradox in the mHealth context; this process is found to originate in users’ privacy calculus. However, privacy fatigue is found to have an insignificant impact on users’ disclosure intention, which may be due to the low sunk cost of users’ investment in mHealth applications. The results indicate that designers of mHealth applications should optimize their interaction functions to enhance benefits to users.

随着人们的健康意识和生活水平的提高，mHealth应用程序越来越多地被使用。但是，mHealth应用程序服务主要基于个人和行为数据的收集，这与用户日益增长的隐私问题相冲突。在这种情况下，本研究考虑了隐私悖论现象，其中隐私问题与披露行为共存。这项研究从隐私演算和隐私疲劳的角度，使用集成的精细化可能性模型（ELM）探索了mHealth应用程序中的隐私悖论。准实验和偏最小二乘结构方程建模的结果表明，与隐私问题相比，感知到的利益对用户的披露意图有更大的影响，这进一步支持了在移动医疗环境中隐私悖论的存在；发现此过程源自用户的隐私演算。但是，发现隐私疲劳对用户的披露意图影响不大，这可能是由于用户在mHealth应用程序中投资的沉没成本较低。结果表明，mHealth应用程序的设计人员应优化其交互功能，以增强用户利益。