JMIR Publications

ABSTRACT

Background:

The use of hypertension management applications (HMAs) remains unsatisfactory. Currently, there is a lack of real-world research based on big data and exploratory mining comparing Chinese and American HMAs.

Objective:

To use data mining to compare HMA user experience, satisfaction level, influencing factors, and asymmetry for Chinese, and American users; evaluate the differences between satisfaction and its influencing factors; and explore the asymmetry of the factors.

Methods:

HMAs and user reviews were obtained from 10 major Chinese and American App stores worldwide. The latent dirichlet allocation topic model identified user review topics. The Tobit model was used to explore the effects and differences of each topic on user satisfaction. The Wald test was used to analyze effect differences.

Results:

We included 261 HMAs with user reviews and 116,686 user reviews. Chinese HMAs (91 vs. 220) and reviews (16,561 vs. 100,125) were fewer than their American counterparts. The overall HMA user satisfaction rate was 75.22%, with a higher satisfaction with Chinese HMAs (83.73% vs. 73.81%). Eight factors significantly affected the positive rating deviation (PD) of Chinese HMA user satisfaction, and nine factors for the negative rating deviation. All 12 factors significantly affected the PD and ND of American HMA user satisfaction. The effects of Chinese and American HMA user satisfaction factors significantly differed in the positive deviation and negative.

Conclusions:

User satisfaction factors in different countries were asymmetric and considerably different. Cost, measurement accuracy, and compatibility mainly affected Chinese HMA user dissatisfaction. Data sharing, synchronization, software reliability, compatibility, and advertisement distribution were basically required by American users. Personalized experience plans based on user groups should be developed in different countries.