You have accessJournal of UrologyUrodynamics/Incontinence/Female Urology: Female Urology (I)1 Apr 20131576 IS THERE A RELATIONSHIP BETWEEN INCONTINENCE IMPACT QUESTIONNAIRE 7 SCORE AFTER SURGERY FOR STRESS URINARY INCONTINENCE AND PATIENT-PERCEIVED SATISFACTION AND IMPROVEMENT? Jason Kim, Wai Lee, Kevin Gioia, Bhavin Patel, Alvaro Lucioni, Fred Govier, and Kathleen Kobashi Jason KimJason Kim Stony Brook, NY More articles by this author , Wai LeeWai Lee Stony Brook, NY More articles by this author , Kevin GioiaKevin Gioia Stony Brook, NY More articles by this author , Bhavin PatelBhavin Patel Seattle, WA More articles by this author , Alvaro LucioniAlvaro Lucioni Seattle, WA More articles by this author , Fred GovierFred Govier Seattle, WA More articles by this author , and Kathleen KobashiKathleen Kobashi Seattle, WA More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2013.02.3126AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES The Incontinence Impact Questionnaire 7 (IIQ-7) has been routinely used to assess outcomes after treatment for stress urinary incontinence (SUI). The significance of change in the IIQ-7 score is unknown. We attempt to correlate changes in the score with patient-perceived satisfaction and improvement. METHODS Patients who underwent treatment for SUI answered the IIQ-7 pre-and post-operatively. We assessed satisfaction and improvement using a graded Likert scale (0%-100%). Exclusion criteria included patients who failed to completely answer all questions on pre- and post-operative questionnaires. The IIQ-7 measures the impact of incontinence on physical activity, travel, social relationships and emotional health, and each answer was assigned a value between 0-3. The higher numbers signify worse symptoms. Pearson's Correlation was used to measure the strength of association between improvement and satisfaction to responses to the IIQ-7. RESULTS We identified 130 patients who answered all questions regarding satisfaction and improvement with an average follow-up of 41.0 months (range 0.5-97.7 months, SD 25.0 months). Mean pre- and post-operative scores for the IIQ-7 can be seen in Table 1. The strongest correlations, albeit weak, were between IIQ-7 and patient perceived improvement were seen with questions 2 (physical recreation) and 7 (feelings of frustration) of 0.18 (p=0.04) and 0.19 (p=0.03), respectively. Similarly, the strongest correlation and patient perceived satisfaction and IIQ-7 were seen with the same questions with correlation coefficients of 0.25 (p=0.004) and 0.19 (p=0.03), respectively. All other components of the IIQ-7 showed weak or no correlation with patient perceived satisfaction or improvement (Table 2). CONCLUSIONS Only a weak correlation was shown between components and total IIQ-7 score to patient-perceived improvement and satisfaction. IIQ-7 may not be an appropriate tool to measure outcomes following surgery for SUI. Table 1. Change in IIQ-7 Pre- and Post-Operative Scores IIQ-7 Mean pre-op Mean Post-op Mean difference Significance Total 3.22 1.92 1.30 < 0.002 Question 1 0.23 0.12 0.11 0.035 Question 2 0.62 0.38 0.24 0.007 Question 3 0.37 0.25 0.12 0.052 Question 4 0.41 0.28 0.13 0.100 Question 5 0.40 0.21 0.19 0.003 Question 6 0.45 0.25 0.20 0.001 Question 7 0.75 0.44 0.31 <0.001 Table 2. Correlation Between IIQ-7 Score and Patient-Perceived Improvement and Satisfaction IIQ-7 Correlation with Improvement Significance Correlation with Satisfaction SIgnificance Total 0.11 0.23 0.16 0.07 Question 1 -0.05 0.54 -0.04 0.66 Question 2 0.18 0.04 0.25 0.004 Question 3 0.06 0.53 0.10 0.27 Question 4 0.01 0.93 0.08 0.39 Question 5 0.03 0.73 0.06 0.48 Question 6 0.04 0.68 0.06 0.50 Question 7 0.19 0.03 0.19 0.03 © 2013 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 189Issue 4SApril 2013Page: e647 Advertisement Copyright & Permissions© 2013 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jason Kim Stony Brook, NY More articles by this author Wai Lee Stony Brook, NY More articles by this author Kevin Gioia Stony Brook, NY More articles by this author Bhavin Patel Seattle, WA More articles by this author Alvaro Lucioni Seattle, WA More articles by this author Fred Govier Seattle, WA More articles by this author Kathleen Kobashi Seattle, WA More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...