Published on in Vol 7, No 7 (2019): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12587, first published .
Exploring the Impact of a Mobile Health Solution for Postpartum Pelvic Floor Muscle Training: Pilot Randomized Controlled Feasibility Study

Exploring the Impact of a Mobile Health Solution for Postpartum Pelvic Floor Muscle Training: Pilot Randomized Controlled Feasibility Study

Exploring the Impact of a Mobile Health Solution for Postpartum Pelvic Floor Muscle Training: Pilot Randomized Controlled Feasibility Study

Journals

  1. Huang Z, Wu S, Yu T, Hu A. Efficacy of telemedicine for urinary incontinence in women: a systematic review and meta-analysis of randomized controlled trials. International Urogynecology Journal 2020;31(8):1507 View
  2. Woodley S, Lawrenson P, Boyle R, Cody J, Mørkved S, Kernohan A, Hay-Smith E. Pelvic floor muscle training for preventing and treating urinary and faecal incontinence in antenatal and postnatal women. Cochrane Database of Systematic Reviews 2020;2021(3) View
  3. Dantas L, Carvalho C, Santos B, Ferreira C, Bø K, Driusso P. Mobile health technologies for the management of urinary incontinence: A systematic review of online stores in Brazil. Brazilian Journal of Physical Therapy 2021;25(4):387 View
  4. Mumm J, Rodler S, Mumm M, Bauer R, Stief C. Digitale Innovation in der Medizin – die COVID-19-Pandemie als Akzelerator von „digital health“. Journal für Urologie und Urogynäkologie/Österreich 2021;28(1):1 View
  5. Santamaria-Granados L, Mendoza-Moreno J, Ramirez-Gonzalez G. Tourist Recommender Systems Based on Emotion Recognition—A Scientometric Review. Future Internet 2020;13(1):2 View
  6. Snyder K, Mollard E, Bargstadt-Wilson K, Peterson J. “We don’t talk about it enough”: Perceptions of pelvic health among postpartum women in rural communities. Women's Health 2022;18 View
  7. Xu P, Wang X, Guo P, Zhang W, Mao M, Feng S. The effectiveness of eHealth interventions on female pelvic floor dysfunction: a systematic review and meta-analysis. International Urogynecology Journal 2022;33(12):3325 View
  8. Dufour S, Clancy A, Wu M. Technical Update No. 433: eHealth Solutions for Urinary Incontinence Among Women. Journal of Obstetrics and Gynaecology Canada 2023;45(2):150 View
  9. Rutkowska A, Salvalaggio S, Rutkowski S, Turolla A. Use of Virtual Reality-Based Therapy in Patients with Urinary Incontinence: A Systematic Review with Meta-Analysis. International Journal of Environmental Research and Public Health 2022;19(10):6155 View
  10. Horng H, Chao W, Chen J, Chang C, Wang P, Chang P. Home-based noninvasive pelvic floor muscle training device to assist women in performing Kegel exercise in the management of stress urinary incontinence. Journal of the Chinese Medical Association 2022;85(4):484 View
  11. Dolan S, Nowell L, Moules N. Interpretive description in applied mixed methods research: Exploring issues of fit, purpose, process, context, and design. Nursing Inquiry 2023;30(3) View
  12. 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
  13. Dufour S, Clancy A, Wu M. Mise à jour technique No 433 : Cybersanté et incontinence urinaire chez la femme. Journal of Obstetrics and Gynaecology Canada 2023;45(2):160 View
  14. Özkan Şat S, Yaman Sözbir Ş. Randomized Controlled Trial of a Mobile Health Application Based on Roy’s Adaptation Model on Postpartum Adaptation. Nursing Research 2023 View
  15. 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
  16. Karthiyayini J, Anandhi R. To Analyze the Various Machine Learning Algorithms That Can Effectively Process Large Volumes of Data and Extract Relevant Information for Personalized Travel Recommendations. SN Computer Science 2024;5(4) View
  17. Moorthy P, Weinert L, Schüttler C, Svensson L, Sedlmayr B, Müller J, Nagel T. Attributes, Methods, and Frameworks Used to Evaluate Wearables and Their Companion mHealth Apps: Scoping Review. JMIR mHealth and uHealth 2024;12:e52179 View
  18. Kilic B, Yildiz Ozer A, Ozarpaci C, Polat M. The Comparison of Individual and Group Hybrid Telerehabilitation Methods in Women with Urinary Incontinence. International Urogynecology Journal 2024;35(6):1299 View
  19. Saboia D, Vasconcelos C, Oriá M, Vasconcelos Neto J, Nascimento S, Lopes L. Continence App® Impact on Puerperal Women’s Knowledge, Attitude and Practice: Randomized Clinical Trial. International Urogynecology Journal 2024;35(8):1699 View