Effect of pelvic floor muscle training using mobile health applications for stress urinary incontinence in women: a systematic review

Abstract

BackgroundPelvic floor muscle training (PFMT) is the first-line treatment for urinary incontinence, but adherence to PFMT is generally poor. Currently, a number of novel strategies exist to facilitate adherence of PFMT. We sought to determine effectiveness of mHealth app-based PFMT for treating stress urinary incontinence (SUI) or stress-predominant mixed urinary incontinence (MUI) in women. The primary objective was to assess the effects of mHealth app-based PFMT and usual treatment on severity of the symptom, the quality of life (QoL) of users and the patient’s global impression of improvement. The secondary objective was to assess how mHealth app use affects adherence of PFMT.MethodsAll randomized controlled trials and quasi-randomized controlled trials aimed at evaluating the effects of mHealth app-based PFMT in women with SUI or stress-predominant MUI were included. Twelve electronic databases, namely the Cochrane Library, PubMed, CINAHL, Embase, Web of science, OVID, SciELO, REHABDATA, PEDro database, Chinese CNKI and Wanfang and the Open Grey databases were used as search sources. The protocol was registered in PROSPERO (CRD 42020183515). This systematic review was developed following the PRISMA 2020 Checklist. The Cochrane Handbook for Systematic Reviews of Interventions for Randomized Controlled Trials was used to assess risk of bias in included studies. Two authors extracted the data into a standardized spreadsheet.ResultsSix studies that met the eligibility criteria were included. The full sample included 439 patients with treatment via mHealth app and 442 controls of usual treatment. ICIQ-UI SF, ICIQ-VS, and QUID scores decreased after follow-up in the mHealth app and control groups in six studies. ICIQ-LUTS QoL scores decreased after follow-up in the mHealth app and control groups in three studies. In only one study, ICIQ-VS QoL scores decreased after 1 month and 2 months of follow-up in the mHealth app group, but increased abruptly after 3 months of follow-up. EQ5D-VAS scores increased in both groups in one study. The percentage of PGI-I increased in the mHealth app group in three studies after follow-up. After follow-up in three studies, BPMSES scores and self-reported adherence scores increased in the mHealth app group relative to the initial time point, but in one study, at 6 months compared with 3 months of follow-up, adherence scores decreased slightly in the mHealth app group.ConclusionsThis systematic review determined that mHealth app-based PFMT showed promise from the perspective of improving both outcomes and exercise adherence.