---
title: "Predictors of care in women with urinary incontinence. | Sutter Health"
description: "UI is highly prevalent with only a minority of women seeking care. Factors associated with care include older age, parity (1+), # MD visits, urgency UI subtype."
url: "https://www.sutterhealth.org/research/publications/predictors-of-care-in-women-with-urinary-incontinence-1055312738"
---

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# Predictors of care seeking in women with urinary incontinence.

Minassian VA, Yan X, Lichtenfeld MJ, Sun H, & Stewart WF.

_Neurourol Urodyn. 31(4):470-4. doi: 10.1002/nau.22235. Epub 2012 Feb 29._

2012-04-01

## Abstract

AIMS: To determine predictors of health care utilization in women with urinary incontinence (UI) from the population to specialty care.

METHODS: The General Longitudinal Overactive Bladder Evaluation-UI is a population-based study on the natural history of UI in women ≥40 years of age. Prevalence of UI was estimated using the Bladder Health Survey (BHS). Survey data were linked with electronic health records (EHRs) to examine factors associated with a clinical UI diagnosis using logistic regression. Risk factors analyzed included: UI symptoms, subtypes, bother, severity, duration, and effect on quality of life, and demographic and other health characteristics. All statistical tests were two-sided with a P-value < 0.05 being significant.

RESULTS: The overall prevalence of any UI based on responses to the BHS was 1,618/4,064 (40%). Of the 1,618 women with UI, there were only 398 (25%) women with EHR (clinical) diagnosis of UI. Women with UI versus those without UI were more likely to be have a BMI >25 kg/m(2) (70% vs. 58%), more likely to be parous (91% vs. 87%) and college educated (54% vs. 46%), P < 0.001. After adjusting for confounders in the model, variables significantly associated with clinical UI diagnosis included: older age (OR = 1.96), higher parity (> 1 birth) (OR = 1.76), higher urgency UI (OR = 1.08), adaptive behavior (OR = 1.2), and UI bother scores (OR = 1.01), as well as more frequent outpatient visits (OR = 1.03), P < 0.05.

CONCLUSIONS: UI is a highly prevalent condition with only a minority of women seeking care. Factors associated with health care utilization include older age, parity (1+), number of doctor visits, urgency UI subtype, UI bother, and impact on behavior.

[PubMed abstract](https://www.ncbi.nlm.nih.gov/pubmed/22378605)

![Xiaowei (Sherry) Yan, Ph.D.](https://dyn.mktgcdn.com/p/NTWox_hkmxIRiqJEc5PXKeBkfR_WMtpSQbEI4J69Xls/fit=crop,gravity=auto,dpr=2,width=188,height=250,quality=100)

Xiaowei (Sherry) Yan, Ph.D.

Principal investigator

[View profile](https://www.sutterhealth.org/research/investigators/xiaowei-sherry-yan-phd-1049681042)

## Research topics

-   [Health Services](https://www.sutterhealth.org/research-search-results?query=%22%5C%22Health+Services%5C%22%22)
-   [Medical Informatics](https://www.sutterhealth.org/research-search-results?query=%22%5C%22Medical+Informatics%5C%22%22)
-   [Urologic Diseases](https://www.sutterhealth.org/research-search-results?query=%22%5C%22Urologic+Diseases%5C%22%22)
-   [Women's Health](https://www.sutterhealth.org/research-search-results?query=%22%5C%22Women%27s+Health%5C%22%22)

## Related publications

[View all publications](https://www.sutterhealth.org/research-search-results?verticalKey=research_publication)

-   Publication
    
    ### [The iceberg of health care utilization in women with urinary incontinence.](https://www.sutterhealth.org/research/publications/health-care-utilization-in-women-with-ui-is-low-1055312611)
    
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    ### [Clinical validation of the Bladder Health Survey for urinary incontinence in a population sample of women.](https://www.sutterhealth.org/research/publications/clinical-validation-of-bladder-health-survey-for-ui-1055312569)
    
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    Int Urogynecol J. 27(3):453-61. doi: 10.1007/s00192-015-2849-8. Epub 2015 Sep 19.
    
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    Liang SY, Phillips KA, Wang G, Keohane C, Armstrong J, Morris WM, Haas JS.
    
    Med Care. 49(6):e1-8. doi: 10.1097/MLR.0b013e318207e87e.
    
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    ### [Physicians’ well-being linked to in-basket messages generated by algorithms In EHRs.](https://www.sutterhealth.org/research/publications/md-wellbeing-in-basket-messages-from-ehr-algorithms-1055312708)
    
    Tai-Seale M, Dillon EC, Yang Y, Nordgren R, Steinberg R, Nauenberg T, Lee TC, Meehan A, Li J, Chan AS, Frosch D.
    
    Health Aff. 38(7): https://doi.org/10.1377/hlthaff.2018.05509.
    
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    ### [Physicians’ well-being linked to in-basket messages generated by algorithms In electronic health records.](https://www.sutterhealth.org/research/publications/md-well-being-and-in-basket-messages-from-ehr-algorithms-1055312699)
    
    Tai-Seale M, Dillon EC, Yang Y, Nordgren R, Steinberg R, Nauenberg T, Lee TC, Meehan A, Li J, Chan AS, Frosch D.
    
    Health Aff. 38(7): https://doi.org/10.1377/hlthaff.2018.05509.
    
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[View all publications](https://www.sutterhealth.org/research-search-results?verticalKey=research_publication)

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