Variation in diagnosis of urinary incontinence in women by provider and patient demographic factors

Introduction Urinary incontinence (UI) among women is under-recognized in primary care setting. We hypothesized that UI is, therefore, more commonly diagnosed by specialists. Our aim was to determine the rate of UI diagnosis by provider and patient demographics, and whether these factors affect the likelihood of UI diagnosis. Methods Retrospective study using electronic medical records from 2010 to 2019. Ambulatory patient encounters by adult females were identified. Encounters with new diagnosis of UI (stress, urgency, mixed, or unspecified) were identified using ICD 9 and 10 codes. The following data were extracted: diagnosing provider specialty and sex, patient age, BMI, race, estimated household income, insurance coverage and type, and primary care provider (PCP). Rate of UI diagnosis was calculated using proportions. Univariable comparison and multivariable logistic regression were performed. Results 576,110 patient encounters were captured. 14,378 patient encounters had UI diagnosis (2.5%). UI population had the following characteristics: Mean age of 60.1 ± 15.5 years, 65.6% identified as white, 75.7% had a PCP, and 87.9% had insurance. UI diagnosis rate was < 1% for PCPs. Multivariable logistic regression showed that urogynecologists and female providers were more likely to diagnose UI; patient demographics associated with UI diagnosis included older age, elevated BMI, white race, commercial insurance, and having a PCP. Estimated household income did not have a significant effect. Conclusion Diagnosis of UI is seldom made by PCPs. Race, insurance, and having a PCP may affect the likelihood of receiving UI diagnosis. Continued efforts to promote equity in recognizing UI may be warranted.