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Factors that influence preference for male or female urologist among underserved patients in New York City
Factors that influence preference for male or female urologist among underserved patients in New York City
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Factors that influence preference for male or female urologist among underserved patients in New York City
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Factors that influence preference for male or female urologist among underserved patients in New York City
Factors that influence preference for male or female urologist among underserved patients in New York City

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Factors that influence preference for male or female urologist among underserved patients in New York City
Factors that influence preference for male or female urologist among underserved patients in New York City
Journal Article

Factors that influence preference for male or female urologist among underserved patients in New York City

2023
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Overview
Objective To examine the prevalence of patient preference for male or female urologic provider and explore which patient characteristics influence this preference. Materials and Methods After obtaining hospital Institutional Review Board approval, a 14‐question survey in English and Spanish was administered across four general urology clinic sites in a single hospital system in New York City. The survey asked demographic questions and preference for a male or a female urologist. The survey included questions pertaining to the nature of the clinic visit and subsequent provider preference as well. Statistics were performed using Stata 16 (StataCorp, College Station, TX). Results A total of 540 patients completed the 14‐question survey. The vast majority of survey respondents identified as male (90%). The largest proportion demographic groups were those aged 41–60 (47%), Hispanic or Latino (43%), Catholic (47%), unemployed (40%) and those with a high school level of education (34%). Most patients (60%) did not have a preference for a specific gender provider, whereas 37% preferred a male provider, and 3% preferred a female provider. On univariate analysis, patient age 25–40, less than high school education level and lack of employment were significant predictors of provider gender preference (p < 0.05), with most patients indicating a male provider preference. On multivariate analysis of gender, age, education level and employment status, gender and education level were not significant predictors of preference, whereas age 25–40 and being unemployed were significant predictors (p < 0.05). Conclusion Patient gender, race and religion do not appear to influence their preference to be seen by a male or a female urologist in the clinic setting. However, patient age, unemployment and potentially educational attainment were significantly associated with a provider gender preference.