Abstract:Background
Many women experience urgency (UUI) and mixed (MUI) urinary incontinence but commonly hesitate to seek care. Treatment access and self-management for these conditions can be supported through eHealth approaches.
Objective
This study aimed to investigate the efficacy of the mobile app Tät II for self-management of UUI and MUI in women.
Methods
This randomized controlled trial included women ≥18 yea… Show more
“…For all three RCTs, there was no face-to-face contact between the study participants, researchers, and healthcare providers throughout the recruitment and treatment processes. Treatment effectiveness was evaluated in the short term (three months) [ 17 – 19 ] and over the long term (up to two years) [ 20 , 21 ]. Previous studies found that UI treatments that focused mainly on PFMT, provided via the internet or a mobile app, showed clinically relevant improvements in symptoms and in QoL [ 17 – 21 ].…”
Section: Methodsmentioning
confidence: 99%
“…The enrolment process and the inclusion and exclusion criteria for the three RCTs are shown In Table 1 . More detailed data were published previously [ 17 – 19 ].…”
Background
Quality of life (QoL) in women with urinary incontinence (UI) is mainly affected by UI severity, but it is also affected by the UI subtype, comorbidities, age, and socioeconomic status. e-Health is a new method for providing UI treatment. This study aimed to identify factors with the highest impact on QoL in women that turned to e-health for UI self-management.
Methods
We analysed data from three randomized controlled trials (RCTs) that evaluated e-health treatments for UI. We included baseline data for 373 women with stress urinary incontinence (SUI) and 123 women with urgency/mixed UI (UUI/MUI). All participants were recruited online, with no face-to-face contact. Participants completed two questionnaires: the International Consultation on Incontinence Questionnaire-Urinary Incontinence Short Form (ICIQ-UI SF, range: 0–21 points), for assessing UI severity, and the ICIQ Lower Urinary Tract Symptoms Quality of Life (ICIQ-LUTSqol, range: 19–76 points), for assessing condition-specific quality of life (QoL). To identify factors that impacted QoL, we constructed a linear regression model.
Results
The mean ICIQ-LUTSqol score was 34.9 (SD 7.6). UI severity significantly affected QoL; the adjusted mean ICIQ-LUTSqol score increased by 1.5 points for each 1.0-point increase in the overall ICIQ-UI SF score (p < 0.001). The UI type also significantly affected QoL; the adjusted mean ICIQ-LUTSqol score was 2.5 points higher in women with UUI/MUI compared to those with SUI (p < 0.001).
Conclusions
We found that women that turned to e-health for UI self-management advice had a reduced QoL, as shown previously among women seeking UI care through conventional avenues, and that the severity of leakage had a greater impact on QoL than the type of UI. Condition-specific factors impacted the QoL slightly less among women that turned to e-health, compared to women that sought help in ordinary care. Thus, e-health might have reached a new group of women in need of UI treatment.
“…For all three RCTs, there was no face-to-face contact between the study participants, researchers, and healthcare providers throughout the recruitment and treatment processes. Treatment effectiveness was evaluated in the short term (three months) [ 17 – 19 ] and over the long term (up to two years) [ 20 , 21 ]. Previous studies found that UI treatments that focused mainly on PFMT, provided via the internet or a mobile app, showed clinically relevant improvements in symptoms and in QoL [ 17 – 21 ].…”
Section: Methodsmentioning
confidence: 99%
“…The enrolment process and the inclusion and exclusion criteria for the three RCTs are shown In Table 1 . More detailed data were published previously [ 17 – 19 ].…”
Background
Quality of life (QoL) in women with urinary incontinence (UI) is mainly affected by UI severity, but it is also affected by the UI subtype, comorbidities, age, and socioeconomic status. e-Health is a new method for providing UI treatment. This study aimed to identify factors with the highest impact on QoL in women that turned to e-health for UI self-management.
Methods
We analysed data from three randomized controlled trials (RCTs) that evaluated e-health treatments for UI. We included baseline data for 373 women with stress urinary incontinence (SUI) and 123 women with urgency/mixed UI (UUI/MUI). All participants were recruited online, with no face-to-face contact. Participants completed two questionnaires: the International Consultation on Incontinence Questionnaire-Urinary Incontinence Short Form (ICIQ-UI SF, range: 0–21 points), for assessing UI severity, and the ICIQ Lower Urinary Tract Symptoms Quality of Life (ICIQ-LUTSqol, range: 19–76 points), for assessing condition-specific quality of life (QoL). To identify factors that impacted QoL, we constructed a linear regression model.
Results
The mean ICIQ-LUTSqol score was 34.9 (SD 7.6). UI severity significantly affected QoL; the adjusted mean ICIQ-LUTSqol score increased by 1.5 points for each 1.0-point increase in the overall ICIQ-UI SF score (p < 0.001). The UI type also significantly affected QoL; the adjusted mean ICIQ-LUTSqol score was 2.5 points higher in women with UUI/MUI compared to those with SUI (p < 0.001).
Conclusions
We found that women that turned to e-health for UI self-management advice had a reduced QoL, as shown previously among women seeking UI care through conventional avenues, and that the severity of leakage had a greater impact on QoL than the type of UI. Condition-specific factors impacted the QoL slightly less among women that turned to e-health, compared to women that sought help in ordinary care. Thus, e-health might have reached a new group of women in need of UI treatment.
“…Community-dwelling women were recruited from all over Sweden, via the project's website (www.tät.nu), and throughout the process there was no face-to-face contact between the study participants, researchers, and healthcare providers in any of the three RCTs. The treatments have been evaluated with regard to effectiveness in the short (three months) [17][18][19] and long (up to two years) term. [20,21] UI treatment focusing on mainly PFMT, provided via internet or a mobile app, showed clinically relevant symptom improvement as well as improvement in QoL.…”
Section: Materials and Methods Econtinencesementioning
confidence: 99%
“…[20,21] UI treatment focusing on mainly PFMT, provided via internet or a mobile app, showed clinically relevant symptom improvement as well as improvement in QoL. [17][18][19][20][21] In Table 1, enrolment process information and inclusion and exclusion criteria for the three RCTs can be found. Further information is also available in the original articles.…”
Section: Materials and Methods Econtinencesementioning
confidence: 99%
“…Further information is also available in the original articles. [17][18][19] Table 1 Overall information, inclusion and exclusion criteria, and enrolment process, in three randomized studies for women with urinary incontinence (UI) using e-health.…”
Section: Materials and Methods Econtinencesementioning
Background Quality of life (QoL) in women with urinary incontinence (UI) is mainly affected by severity of UI, but also by, for example, UI subtype, comorbidity, age, and socioeconomic status. Using e-health to provide treatment for UI is a new method. In this study we investigate what factors have the highest impact on QoL in women who turned to e-health for self-management of UI. Methods Baseline data from three randomized controlled trials (RCT) for evaluating e-health treatments for UI were used, including 373 women with stress urinary incontinence (SUI), and 123 women with urgency/mixed UI (UUI/MUI). All participants were recruited online, with no face-to-face contact. We used the questionnaires International Consultation on Incontinence Questionnaire-Urinary Incontinence Short Form (ICIQ-UI SF) to measure UI severity, and ICIQ Lower Urinary Tract Symptoms Quality of Life (ICIQ-LUTSqol) to measure condition-specific QoL. To evaluate factors impacting on QoL, a linear regression model was used. Results The mean ICIQ-LUTSqol score was 34.9 (SD 7.6). The ICIQ-UI SF score (0-21) affected the ICIQ-LUTSqol (19-76), with an adjusted mean increase of 1.5 for each 1.0 increase in the overall ICIQ-UI SF score (p <0.001). UUI/MUI gave an adjusted mean increase of 2.5 in ICIQ-LUTSqol score compared with SUI (p <0.001). Conclusion As in women seeking other methods of care for UI, a decreased QoL was found in those who turned to e-health for self-management of UI. The impact of condition-specific factors on their QoL was slightly lower than that of women with UI who sought help in ordinary care, suggesting that e-health might reach a new group of women in need of treatment. Severity of the leakage had greater impact on QoL than type of UI.
Aims
To evaluate the long‐term effect of the Tät®II app for treatment of urgency (UUI) and mixed urinary incontinence (MUI).
Methods
Long‐term follow‐up of a randomized controlled trial, including 123 women ≥18 years old with UUI or MUI, without red‐flag symptoms, and ≥2 leakages per week. All participants, regardless of group, had received the intervention, a treatment app, at the long‐term follow‐up. Long‐term data were collected through web‐based questionnaires 15 months after participants received the intervention. The app included pelvic floor muscle training, bladder training, psychoeducation, lifestyle advice, an exercise log, reminders, reinforcement messages, and tailored advice. The primary outcome was a change in incontinence symptoms (International Consultation on Incontinence Questionnaire [ICIQ]—Urinary Incontinence Short Form [ICIQ‐UI SF]), from baseline to follow‐up. Other outcomes were urgency symptoms (ICIQ—Overactive Bladder Module (ICIQ‐OAB)), quality of life (ICIQ—Lower Urinary Tract Symptoms Quality of Life Module [ICIQ‐LUTSqol]), and improvement (Patient's Global Impression of Improvement [PGI‐I]).
Results
Of the 123 women, 102 (83%) completed the long‐term follow‐up. The ICIQ‐UI SF mean score improved from 11.5 to 7.6 (mean difference 4.0, 95% CI 3.2–4.7). The ICIQ‐OAB improved from 6.7 to 5.5 (mean difference 1.3, 95% CI 0.9–1.6) and the ICIQ‐LUTSqol improved from 38.0 to 30.9 (mean difference 7.1, 95% CI 5.7–8.5). Of the 102 women, 74 (73%) reported improvement.
Conclusions
Self‐management with the Tät®II app for UUI and MUI had a significant effect across all outcome measures also long‐term and might serve as an alternative first‐line treatment for these conditions.
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