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A Study of Mobile Medical App User Satisfaction Incorporating Theme Analysis and Review Sentiment Tendencies
Yunkai Zhai1,2, Xin Song1,2, Yajun Chen1,2
1School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China.
Summary
Users are satisfied with mobile medical app service and content quality but less so with management and technology. This study analyzes online reviews to improve mobile health app user satisfaction and competitiveness.
Area of Science:
- Health Informatics
- Digital Health
- Medical Technology Evaluation
Background:
- Mobile medicine significantly optimizes healthcare resource allocation and efficiency.
- Analyzing online user reviews is crucial for enhancing mobile health service quality and product competitiveness.
- Understanding user concerns from reviews provides actionable insights for targeted improvements.
Purpose of the Study:
- To quantitatively evaluate user satisfaction with mobile medical applications.
- To identify key factors influencing user satisfaction in mobile health services.
- To provide data-driven recommendations for improving mobile medical app development and service.
Main Methods:
- Latent Dirichlet Allocation (LDA) topic modeling for comment analysis.
- Grounded theory to construct a user satisfaction evaluation index system.
- Sentiment analysis to extract user evaluation information.
- Rough number theory and fuzzy comprehensive evaluation for robust analysis.
Main Results:
- Users express satisfaction with the service and content quality of mobile medical apps.
- Areas identified for improvement include management and technology aspects of the apps.
- Empirical results quantify user satisfaction levels based on online review data.
Conclusions:
- Mobile medical apps show strengths in service and content but require enhancements in management and technology.
- Recommendations include strengthening safety supervision, research, information audits, and service quality management.
- Text mining of online reviews offers a valuable method for quantitative user satisfaction assessment in mobile health.
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