Dataset Information

Comparison and correlates of three preference-based health-related quality-of-life measures among overweight and obese women with urinary incontinence.

ABSTRACT: To compare three preference-based health-related quality-of-life (HRQL) measures and examine independent correlates of HRQL among overweight and obese women with urinary incontinence (UI) enrolled in a weight loss intervention trial.Participants completed baseline questionnaires, which included the Health Utilities Index 3 (HUI3) and Medical Outcomes Study Short Form-36 (SF-36). The SF-36 was used to derive SF-6D and estimated Quality of Well-Being (eQWB) scores. Height, weight, medical history, incontinence measures, and level of physical activity also were assessed. The intraclass correlation coefficient (ICC) was computed, and differences in mean scores across HRQL measures were examined. Potential correlates of HUI3, SF-6D, and eQWB scores were evaluated using multivariable generalized linear models.Mean ± SD scores for the HUI3, SF-6D, and eQWB were 0.81 ± 0.18, 0.75 ± 0.10, and 0.71 ± 0.06, respectively. Significant differences were observed across measures (P < 0.0001), and the overall ICC was 0.36. In multivariable analyses, BMI was negatively associated with HUI3 (P = 0.003) and eQWB (P < 0.001), and UI episode frequency was negatively associated with eQWB (P = 0.015) and SF-6D (P < 0.001).Significant differences in mean utilities across the HUI3, SF-6D, and eQWB indicate that these measures do not assess identical dimensions of HRQL. Both BMI and UI episode frequency were related to HRQL in this cohort; however, the magnitude of the relationship depended on the preference-based measure used. These findings highlight the need to consider the method used to generate HRQL values for calculating quality-adjusted life-years in cost-utility analyses, since choice of method may have a substantial impact on the outcome of the analysis.

SUBMITTER: Pinto AM

PROVIDER: S-EPMC3174313 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature

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Comparison and correlates of three preference-based health-related quality-of-life measures among overweight and obese women with urinary incontinence.

Pinto Angela Marinilli AM Kuppermann Miriam M Nakagawa Sanae S Vittinghoff Eric E Wing Rena R RR Kusek John W JW Herman William H WH Subak Leslee L LL

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation 20110403 10

<h4>Purpose</h4>To compare three preference-based health-related quality-of-life (HRQL) measures and examine independent correlates of HRQL among overweight and obese women with urinary incontinence (UI) enrolled in a weight loss intervention trial.<h4>Methods</h4>Participants completed baseline questionnaires, which included the Health Utilities Index 3 (HUI3) and Medical Outcomes Study Short Form-36 (SF-36). The SF-36 was used to derive SF-6D and estimated Quality of Well-Being (eQWB) scores. ...[more]

PMID: 21461953

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Project description:BackgroundObesity is an established and modifiable risk factor for urinary incontinence, but conclusive evidence for a beneficial effect of weight loss on urinary incontinence is lacking.MethodsWe randomly assigned 338 overweight and obese women with at least 10 urinary-incontinence episodes per week to an intensive 6-month weight-loss program that included diet, exercise, and behavior modification (226 patients) or to a structured education program (112 patients).ResultsThe mean (+/-SD) age of the participants was 53+/-11 years. The body-mass index (BMI) (the weight in kilograms divided by the square of the height in meters) and the weekly number of incontinence episodes as recorded in a 7-day diary of voiding were similar in the intervention group and the control group at baseline (BMI, 36+/-6 and 36+/-5, respectively; incontinence episodes, 24+/-18 and 24+/-16, respectively). The women in the intervention group had a mean weight loss of 8.0% (7.8 kg), as compared with 1.6% (1.5 kg) in the control group (P<0.001). After 6 months, the mean weekly number of incontinence episodes decreased by 47% in the intervention group, as compared with 28% in the control group (P=0.01). As compared with the control group, the intervention group had a greater decrease in the frequency of stress-incontinence episodes (P=0.02), but not of urge-incontinence episodes (P=0.14). A higher proportion of the intervention group than of the control group had a clinically relevant reduction of 70% or more in the frequency of all incontinence episodes (P<0.001), stress-incontinence episodes (P=0.009), and urge-incontinence episodes (P=0.04).ConclusionsA 6-month behavioral intervention targeting weight loss reduced the frequency of self-reported urinary-incontinence episodes among overweight and obese women as compared with a control group. A decrease in urinary incontinence may be another benefit among the extensive health improvements associated with moderate weight reduction. (ClinicalTrials.gov number, NCT00091988.)

Project description:BackgroundQuality 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.MethodsWe 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.ResultsThe 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).ConclusionsWe 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.

Project description:Introduction and hypothesisMissing data is frequently observed in clinical trials; high rates of missing data may jeopardize trial outcome validity.PurposeWe determined the rates of missing data over time, by type of data collected and compared demographic and clinical factors associated with missing data among women who participated in two large randomized clinical trials of surgery for stress urinary incontinence, the Stress Incontinence Surgical Treatment Efficacy Trial (SISTEr) and the Trial of Midurethral Sling (TOMUS).MethodsThe proportions of subjects who attended and missed each follow-up visit were calculated. The chi-squared test, Fisher's exact test and t test were used to compare women with and without missing data, as well as the completeness of the data for each component of the composite primary outcome.ResultsData completeness for the primary outcome computation in the TOMUS trial (62.3%) was nearly double that in the SISTEr trial (35.7%). The follow-up visit attendance rate decreased over time. A higher proportion of subjects attended all follow-up visits in the TOMUS trial and overall there were fewer missing data for the period that included the primary outcome assessment at 12 months. The highest levels of complete data for the composite outcome variables were for the symptoms questionnaire (SISTEr 100 %, TOMUS 99.8%) and the urinary stress test (SISTEr 96.1%, TOMUS 96.7%). In both studies, the pad test was associated with the lowest levels of complete data (SISTEr 85.1%, TOMUS 88.3%) and approximately one in ten subjects had incomplete voiding diaries at the time of primary outcome assessment. Generally, in both studies, a higher proportion of younger subjects had missing data. This analysis lacked a patient perspective as to the reasons for missing data that could have provided additional information on subject burden, motivations for adherence and study design. In addition, we were unable to compare the effects of the different primary outcome assessment time-points in an identically designed trial.ConclusionsMissing visits and data increased with time. Questionnaire data and physical outcome data (urinary stress test) that could be assessed during a visit were least prone to missing data, whereas data for variables that required subject effort while away from the research team (pad test, voiding diary) were more likely to be missing. Older subjects were more likely to provide complete data.

Dataset Information

Comparison and correlates of three preference-based health-related quality-of-life measures among overweight and obese women with urinary incontinence.

Publications

Comparison and correlates of three preference-based health-related quality-of-life measures among overweight and obese women with urinary incontinence.

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