Published on in Vol 10, No 3 (2021): March
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/22771, first published
.
Journals
- Jaffar A, Tan C, Mohd-Sidik S, Admodisastro N, Goodyear-Smith F. Persuasive Technology in an mHealth App Designed for Pelvic Floor Muscle Training Among Women: Systematic Review. JMIR mHealth and uHealth 2022;10(3):e28751 View
- Ali H, Ahmed A, Olivos C, Khamis K, Liu J. Mitigating urinary incontinence condition using machine learning. BMC Medical Informatics and Decision Making 2022;22(1) View
- Chen L, Zhang D, Li T, Liu S, Hua J, Cai W. Effect of a Mobile App–Based Urinary Incontinence Self-Management Intervention Among Pregnant Women in China: Pragmatic Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e43528 View
- Mao W, Jiang M, Chen W, Du J, Xiao Q. The effect of using mobile phone applications for intelligent pelvic floor rehabilitation on elderly female patients with stress urinary incontinence. Technology and Health Care 2024;32(1):229 View
- Woodley S, Moller B, Clark A, Bussey M, Sangelaji B, Perry M, Kruger J. Digital Technologies for Women’s Pelvic Floor Muscle Training to Manage Urinary Incontinence Across Their Life Course: Scoping Review. JMIR mHealth and uHealth 2023;11:e44929 View
- Hua J, Li T, Liu S, Zhang D, Chen X, Cai W, Chen L. Self-efficacy with Pelvic floor muscle training mediates the effect of an App-based intervention on improving postpartum urinary incontinence severity among pregnant women: A causal mediation analysis from a randomised controlled trial. Midwifery 2024;135:104052 View