While mobile health (mHealth) apps play an increasingly important role in digitalized health care, little is known regarding the effects of specific mHealth app features on user satisfaction across different healthcare system contexts. Using personal health record (PHR) apps as an example, this study identifies how potential users in Germany and Denmark evaluate a set of 26 app features, and whether evaluation differences can be explained by the differences in four pertinent user characteristics, namely privacy concerns, mHealth literacy, mHealth self-efficacy, and adult playfulness. Based on survey data from both countries, we employed the Kano method to evaluate PHR features and applied a quartile-based sample-split approach to understand the underlying relationships between user characteristics and their perceptions of features. Our results not only reveal significant differences in 14 of the features between Germans and Danes, they also demonstrate which of the user characteristics best explain each of these differences. Our two key contributions are, first, to explain the evaluation of specific PHR app features on user satisfaction in two different healthcare contexts and, second, to demonstrate how to extend the Kano method in terms of explaining subgroup differences through user characteristic antecedents. The implications for app providers and policymakers are discussed.

虽然移动健康 (mHealth) 应用程序在数字化医疗保健中发挥着越来越重要的作用，但对于特定 mHealth 应用程序功能对不同医疗保健系统环境中用户满意度的影响知之甚少。本研究以个人健康记录 (PHR) 应用程序为例，确定了德国和丹麦的潜在用户如何评估一组 26 个应用程序功能，以及评估差异是否可以通过四个相关用户特征的差异来解释，即隐私问题、移动医疗素养、移动医疗自我效能和成人嬉戏。基于两国的调查数据，我们采用 Kano 方法评估 PHR 特征，并应用基于四分位数的样本分割方法来了解用户特征与其对特征的感知之间的潜在关系。我们的结果不仅揭示了德国人和丹麦人在 14 个特征上的显着差异，而且还展示了哪些用户特征最能解释这些差异。我们的两个主要贡献是，首先，解释了在两种不同的医疗保健环境中对特定 PHR 应用程序功能对用户满意度的评估，其次，展示了如何扩展 Kano 方法，通过用户特征前因解释子组差异。讨论了对应用程序提供商和政策制定者的影响。解释在两种不同的医疗保健环境中对特定 PHR 应用程序功能对用户满意度的评估，其次，演示如何扩展 Kano 方法，通过用户特征前因解释子组差异。讨论了对应用程序提供商和政策制定者的影响。解释在两种不同的医疗保健环境中对特定 PHR 应用程序功能对用户满意度的评估，其次，演示如何扩展 Kano 方法，通过用户特征前因解释子组差异。讨论了对应用程序提供商和政策制定者的影响。