JMIR Publications

ABSTRACT

Background:

The promulgation of China's three child policy has increased the demand for scientific and personalized pregnancy health management. The development of mobile health (mhealth) technology has promoted the use of pregnancy management applications among pregnant women.

Objective:

Our study aimed to analyze the satisfaction of pregnant women with pregnancy management applications and explore its influencing factors based on the two-factor theory by mining User Generated Content (UGC).

Methods:

180,107 user reviews of 86 pregnancy management apps in the five major app stores were collected, and Latent Dirichlet Allocation (LDA) and DeepSeek-R1 were used for topic clustering and semantic parsing. Tobit model was used to explore the influencing factors of user satisfaction and dissatisfaction, and KANO model was used to identify basic factors and attractive factors.

Results:

User reviews were clustered into 12 themes and categorized into three main types: technical security support, basic service experience, and maternal and infant scenarios. System login (β=2.829, p<0.001) and privacy disclosure (β=1.955, p<0.001) had a significant impact on dissatisfaction as basic factors. The attractive factors such as doctor inquiries (β=0.356, p<0.001) and growth records (β=0.401, p<0.001) drove the improvement of satisfaction. There was a significant difference in user satisfaction between iOS and Android (60.75% vs. 89.32%), reflecting the differences in demand stratification and technological ecosystems.

Conclusions:

The research constructed a progressive service framework for pregnancy management apps, with great significance of meeting maternal health needs and achieving fairness in medical resources.