Related Experiment Video
Updated: Dec 3, 2025

Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking
Published on: October 10, 2019
Objective Data Reveals Gender Preferences for Patients' Primary Care Physician
Madelinn Fink1, Kendall Klein1, Kia Sayers1
1Department of Orthopaedic Surgery, School of Medicine, LSUHSC, New Orleans, LA, USA.
Background And Objectives:
Most studies based on self-reported data indicate that female patients more often than males have a same-gender preference for their primary care physician (PCP). Because self-reported preferences may not reflect true preferences, we analyzed objective data to investigate patients' preferences for PCP gender.
Methods:
Analyses were performed on 2192 new patients seen within a university-based healthcare system by 13 PCPs (2 male, 11 female) during 2017. New patients were asked about their PCP gender preference when assigned a PCP. We compared the expected prevalence (proportion of males/females in overall patient population) and observed prevalence (gender distribution of patients for each PCP) by PCP gender. A mixed model with PCP as a random effect examined the odds of male and female patients being assigned a same-gender physician.
Results:
The expected prevalence of new patients was 65% female and 35% male. The observed prevalence (95% confidence interval [CI]) of male patients among male and female PCPs was, respectively, 59.7% (49.0%-69.5%) and 28.0% (24.0%-32.4%), with neither CI containing the expected prevalence of male patients (35%). Similarly, the observed prevalence of female patients among male and female PCPs was, respectively, 40.3% (95% CI 30.5%-51.0%) and 72.0% (95% CI 67.6%-76.0%), with neither CI containing the expected prevalence of female patients (65%).
Conclusions:
Both male and female patients often preferred to see a same-gender PCP with this preference more pronounced in males. Future research should seek to clarify the relationships between patients' gender preferences, patient-physician gender concordance/discordance, patient satisfaction, and health outcomes.
More Related Videos
Related Concept Videos
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Data Collection I
Desirable Characteristics in Others
Relationship Formation
Patient-centered Care
Surveys

