Published on in Vol 19, No 5 (2017): May

Mobile App for Treatment of Stress Urinary Incontinence: A Cost-Effectiveness Analysis

Mobile App for Treatment of Stress Urinary Incontinence: A Cost-Effectiveness Analysis

Mobile App for Treatment of Stress Urinary Incontinence: A Cost-Effectiveness Analysis

Authors of this article:

Malin Sjöström1 Author Orcid Image ;   Lars Lindholm2 Author Orcid Image ;   Eva Samuelsson2 Author Orcid Image

Journals

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  3. Asklund I, Samuelsson E, Hamberg K, Umefjord G, Sjöström M. User Experience of an App-Based Treatment for Stress Urinary Incontinence: Qualitative Interview Study. Journal of Medical Internet Research 2019;21(3):e11296 View
  4. Leme Nagib A, Riccetto C, Martinho N, Camargos Pennisi P, Blumenberg C, Paranhos L, Botelho S. Use of mobile apps for controlling of the urinary incontinence: A systematic review. Neurourology and Urodynamics 2020;39(4):1036 View
  5. Han M, Grisales T, Sridhar A. Evaluation of a Mobile Application for Pelvic Floor Exercises. Telemedicine and e-Health 2019;25(2):160 View
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  17. Wadensten T, Nyström E, Franzén K, Lindam A, Wasteson E, Samuelsson E. A Mobile App for Self-management of Urgency and Mixed Urinary Incontinence in Women: Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(4):e19439 View
  18. 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
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  20. Hazel C, Bull S, Greenwell E, Bunik M, Puma J, Perraillon M. Systematic review of cost-effectiveness analysis of behavior change communication apps: Assessment of key methods. DIGITAL HEALTH 2021;7:205520762110005 View
  21. Nyström E, Söderström L, Samuelsson E. Self-management of incontinence using a free mobile app: factors associated with improvement. International Urogynecology Journal 2022;33(4):877 View
  22. Jaffar A, Mohd Sidik S, Foo C, Muhammad N, Abdul Manaf R, Fadhilah Ismail S, Suhaili N. Protocol of a Single-Blind Two-Arm (Waitlist Control) Parallel-Group Randomised Controlled Pilot Feasibility Study for mHealth App among Incontinent Pregnant Women. International Journal of Environmental Research and Public Health 2021;18(9):4792 View
  23. Wessels N, Loohuis A, van der Worp H, Abbenhuis L, Dekker J, Berger M, van Gemert-Pijnen J, Blanker M. Barriers and Facilitators Associated With App-Based Treatment for Female Urinary Incontinence: Mixed Methods Evaluation. JMIR mHealth and uHealth 2021;9(9):e25878 View
  24. Karsalia M, Malik R. Evaluation of free mobile health applications for pelvic organ prolapse and urinary incontinence. The American Journal of Surgery 2022;223(1):187 View
  25. Fenocchi L, Best C, Mason H, Elders A, Hagen S, Maxwell M. Long-term effects and costs of pelvic floor muscle training for prolapse: trial follow-up record-linkage study. International Urogynecology Journal 2023;34(1):239 View
  26. Pedofsky L, Nielsen P, Budgett D, Nemec K, Dumoulin C, Kruger J. Using codesign to develop a mobile application for pelvic floor muscle training with an intravaginal device (femfit®). Neurourology and Urodynamics 2021;40(8):1900 View
  27. Papanikolaou D, Lampropoulou S, Giannitsas K, Skoura A, Fousekis K, Billis E. Pelvic floor muscle training: Novel versus traditional remote rehabilitation methods. A systematic review and meta‐analysis on their effectiveness for women with urinary incontinence. Neurourology and Urodynamics 2023;42(4):856 View
  28. Loohuis A, Van Der Worp H, Wessels N, Dekker J, Slieker‐Ten Hove M, Berger M, Vermeulen K, Blanker M. One year effectiveness of an app‐based treatment for urinary incontinence in comparison to care as usual in Dutch general practice: A pragmatic randomised controlled trial over 12 months. BJOG: An International Journal of Obstetrics & Gynaecology 2022;129(9):1474 View
  29. Dennett A, Harding K, Peiris C, Shields N, Barton C, Lynch L, Parente P, Lim D, Taylor N. Efficacy of Group Exercise–Based Cancer Rehabilitation Delivered via Telehealth (TeleCaRe): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(7):e38553 View
  30. 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
  31. 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
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Books/Policy Documents

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