Jiao Xiaoyi, Jiang Lu, Zhao Min, Ma Junhao, Li Yanwei, Shen Tian, Liu Yongcheng, Hu Yue, Lu Zhengyang, Xing Mengyao, Liang Jun, Xiang Peng, Lei Jianbo
School of Public Health, Zhejiang University, Hangzhou, Zhejiang Province, China.
Department of AI and IT, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China.
J Med Internet Res. 2025 Aug 21;27:e78828. doi: 10.2196/78828.
China's 3-child policy has increased the demand for scientific and personalized pregnancy health management. The convenience of mobile health has promoted the use of pregnancy management apps among pregnant women. User satisfaction has a significant impact on continued use intention. Systematically evaluating user satisfaction with pregnancy management apps is of great significance in promoting the digital transformation of maternal-infant health care.
This study aimed to explore user satisfaction with pregnancy management apps by mining user-generated content and analyzing the differences in user satisfaction among different operating systems. Under the guidance of Herzberg two-factor theory, this study explored the demand structure in user experience and investigated the influencing factors on satisfaction from 2 aspects: user satisfaction and dissatisfaction, providing reference for the development of mobile health apps for pregnancy management.
We screened pregnancy management apps from the app stores of 5 mobile phone manufacturers in mainland China and collected the app-based reviews and ratings posted by users. We performed topic clustering and semantic parsing using the latent Dirichlet allocation and DeepSeek-R1 models. Influencing factors for satisfaction and dissatisfaction were identified using the Tobit regression model. The Kano model was used to classify the factors as basic or attractive. The Wald test was applied to analyze the differences in the effects across various factors.
We examined 86 pregnancy management apps, amounting to 180,107 reviews in total. The overall satisfaction rate with pregnancy apps was relatively high (72.34%). Android users had higher satisfaction rates than iOS users (89.32% vs 60.75%). User reviews were clustered into 12 themes, categorized into 3 types: technical security support, basic service experience, and maternal-infant scenarios. The basic factors causing dissatisfaction included system login (β=2.829; P<.001) and privacy disclosure (β=1.955; P<.001). Attractive factors boosting satisfaction included storage optimization (β=0.220; P<.001), page design (β=0.223; P<.001), function provision (β=0.023; P=.001), platform feedback (β=0.222; P<.001), physicians' inquiries (β=0.356; P<.001), menstrual management (β=0.209; P<.001), pregnancy guidelines (β=0.306; P<.001), parenting science popularization (β=0.238; P<.001), growth record (β=0.401; P<.001), and maternal-infant community (β=0.307; P<.001).
There were significant differences in user satisfaction between the iOS and Android platforms, reflecting the heterogeneity of responses to user demands in different technological ecosystems. Twelve themes showed the multilevel needs of pregnant women for pregnancy management apps, forming a progressive service chain: security guarantee to demand satisfaction to experience improvement. Twelve factors had asymmetric correlations with user satisfaction and dissatisfaction with pregnancy management apps. Two factors were related to basic attributes of the apps and 10 factors to attractive attributes. By distinguishing between basic and attractive factors, the use of pregnancy management apps may be improved.
中国的三孩政策增加了对科学且个性化孕期健康管理的需求。移动健康的便利性推动了孕妇对孕期管理应用程序的使用。用户满意度对持续使用意愿有重大影响。系统评估用户对孕期管理应用程序的满意度对促进母婴保健的数字化转型具有重要意义。
本研究旨在通过挖掘用户生成内容并分析不同操作系统之间用户满意度的差异，探索用户对孕期管理应用程序的满意度。在赫兹伯格双因素理论的指导下，本研究从用户满意和不满两个方面探索用户体验中的需求结构，并调查影响满意度的因素，为孕期管理移动健康应用程序的开发提供参考。
我们从中国大陆5家手机制造商的应用商店中筛选孕期管理应用程序，并收集用户发布的基于应用程序的评论和评分。我们使用潜在狄利克雷分配和DeepSeek-R1模型进行主题聚类和语义解析。使用托宾回归模型确定满意和不满的影响因素。使用卡诺模型将这些因素分类为基本因素或魅力因素。应用沃尔德检验分析各因素效应的差异。
我们审查了86款孕期管理应用程序，总共180107条评论。孕期应用程序的总体满意度相对较高（72.34%）。安卓用户的满意度高于iOS用户（89.32%对60.75%）。用户评论聚类为12个主题，分为3类：技术安全支持、基本服务体验和母婴场景。导致不满的基本因素包括系统登录（β=2.829；P<0.001）和隐私泄露（β=1.955；P<0.001）。提高满意度的魅力因素包括存储优化（β=0.220；P<0.001）、页面设计（β=0.223；P<0.001）、功能提供（β=0.023；P=0.001）、平台反馈（β=0.222；P<0.001）、医生咨询（β=0.356；P<0.001）、经期管理（β=0.209；P<0.001）、孕期指南（β=0.306；P<0.001）、育儿科普（β=0.238；P<0.001）、成长记录（β=0.401；P<0.001）和母婴社区（β=0.307；P<0.001）。
iOS和安卓平台的用户满意度存在显著差异，反映了不同技术生态系统中对用户需求响应的异质性。12个主题显示了孕妇对孕期管理应用程序的多层次需求，形成了一个递进的服务链：安全保障到需求满足再到体验提升。12个因素与用户对孕期管理应用程序的满意和不满具有不对称相关性。两个因素与应用程序的基本属性相关，10个因素与魅力属性相关。通过区分基本因素和魅力因素，可以改进孕期管理应用程序的使用。
