Self-management of incontinence using a free mobile app: factors associated with improvement.


Journal

International urogynecology journal
ISSN: 1433-3023
Titre abrégé: Int Urogynecol J
Pays: England
ID NLM: 101567041

Informations de publication

Date de publication:
04 2022
Historique:
received: 15 11 2020
accepted: 03 03 2021
pubmed: 8 4 2021
medline: 23 4 2022
entrez: 7 4 2021
Statut: ppublish

Résumé

Pelvic floor muscle training (PFMT) is first-line treatment for urinary incontinence (UI) in women. Self-management via a mobile app is a new cost-effective method for PFMT delivery. This study analyzes factors associated with improvement among app users. A pragmatic observational study in a community setting. Upon downloading the app Tät®, users answered questions regarding their age, education, residence, and UI symptoms. After 3 months, users answered follow-up questions regarding symptoms and frequency of training and app usage, and the validated Patient Global Impression of Improvement (PGI-I) questionnaire. Only non-pregnant, non-postpartum adult women with UI who answered the PGI-I questionnaire were included. Multivariate logistic regression was used to analyze possible associations between these factors with any improvement and with great improvement according to the PGI-I. The models were adjusted for age. The study included 2,153 participants who had completed self-management, that is, 11.5% of eligible women who completed the baseline questionnaire. Of these participants, 65.6% reported improvement of UI. Any improvement was associated with age, frequency of PFMT, and app use, accounting for 27.9% of variability (Nagelkerke R Self-management of urinary incontinence is easily accessible to many women and improvement rates are comparable with other forms of PFMT. Demographic factors and incontinence severity showed no or incongruent association, whereas regular PFMT and app use predicted any and great improvement. App use showed an additional effect beyond frequency of training.

Sections du résumé

BACKGROUND
Pelvic floor muscle training (PFMT) is first-line treatment for urinary incontinence (UI) in women. Self-management via a mobile app is a new cost-effective method for PFMT delivery. This study analyzes factors associated with improvement among app users.
METHODS
A pragmatic observational study in a community setting. Upon downloading the app Tät®, users answered questions regarding their age, education, residence, and UI symptoms. After 3 months, users answered follow-up questions regarding symptoms and frequency of training and app usage, and the validated Patient Global Impression of Improvement (PGI-I) questionnaire. Only non-pregnant, non-postpartum adult women with UI who answered the PGI-I questionnaire were included. Multivariate logistic regression was used to analyze possible associations between these factors with any improvement and with great improvement according to the PGI-I. The models were adjusted for age.
RESULTS
The study included 2,153 participants who had completed self-management, that is, 11.5% of eligible women who completed the baseline questionnaire. Of these participants, 65.6% reported improvement of UI. Any improvement was associated with age, frequency of PFMT, and app use, accounting for 27.9% of variability (Nagelkerke R
CONCLUSION
Self-management of urinary incontinence is easily accessible to many women and improvement rates are comparable with other forms of PFMT. Demographic factors and incontinence severity showed no or incongruent association, whereas regular PFMT and app use predicted any and great improvement. App use showed an additional effect beyond frequency of training.

Identifiants

pubmed: 33825925
doi: 10.1007/s00192-021-04755-5
pii: 10.1007/s00192-021-04755-5
pmc: PMC9021135
doi:

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

877-885

Informations de copyright

© 2021. The Author(s).

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Auteurs

Emma Nyström (E)

Department of Public Health and Clinical Medicine, Umeå University, The Research Unit, Region Jämtland Härjedalen, Östersund, SE-831 27, Sweden. emma.nystrom@regionjh.se.

Lars Söderström (L)

Unit of Research, Education and Development, Östersund, Sweden.

Eva Samuelsson (E)

Department of Public Health and Clinical Medicine, Umeå University, The Research Unit, Region Jämtland Härjedalen, Östersund, SE-831 27, Sweden.

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Classifications MeSH