A Systematic Literature Review for Interface Design of Pelvic Floor Muscle Training Mobile App base on mHealth 2017-2022

A SLR for Interface design of PFMT app

  • Zao Yi Universiti Sains Malaysia
  • Nurul Hanim Romainoor Universiti Sains Malaysia


With the rapid development of information technology, mHealth has been applied to many medical and health fields. Pelvic floor muscle training(PFMT)is the first-line treatment for women with urinary incontinence(UI), and patients can self-manage and practice through the PFMT application. Objective: Review the existing research on the PFMT app, to identify what the current research concentrations are on. From which to find and summarize the research on PFMT existing obstacles and future improvement direction for app interface design. Method: Keywords were searched in three major citation databases: Web of Science, Scopus, and Dimensions to find the literature published. After screening the titles and abstracts of all retrieved citations with inclusion and exclusion criteria, the researchers need to review the full text and then final discussion and confirm the relevance of all included papers. First, identify the current research area on PFMT application from each paper. Second, the existing suggestion to improve interface design were extracted from certain topic research. Finally, the research topic classification and interface design problem summary are carried out. Results: A total of 26 papers and one supplement were included. 7 primary research directions were identified. 6 key issues and 3 crucial pages of interface design are sorted out. Conclusion: Many studies have suggested the necessity and estimation of interface redesign, but there is no advanced study and implementation. The interface design of the PFMT app is one of the important directions for future application iteration and upgrading.

How to Cite
Yi, Z., & Romainoor, N. H. (2023). A Systematic Literature Review for Interface Design of Pelvic Floor Muscle Training Mobile App base on mHealth 2017-2022. Journal of Advanced Computing Technology and Application (JACTA), 5(1), 28-42. Retrieved from https://jacta.utem.edu.my/jacta/article/view/5280