Understanding Online Reviews of Geriatricians: Correlations within a Dataset of 53,210 Physician Reviews
Published August 8, 2025
Introduction: Online reviews are increasingly influential in how patients find and choose physicians. Patients appreciate the transparency of online reviews, and they offer an avenue for physicians to receive feedback. This cross-sectional study aims to provide insight into correlations between provider level information such as wait times or physician demographics, and the reviews patients submit online for geriatricians.
Methods: ParseHub software was used to extract and pool data from 6,631 provider profiles categorized under “geriatric medicine” on the popular open-source physician review website Healthgrades.com. Physician race or ethnicity was modeled by profile last name based on 2010 US census data. Non-physician providers were excluded from the main analysis. Standard statistical models including Pearson correlations and t-tests were used to determine relationships between physician information and their average online rating.
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Understanding Online Reviews of Geriatricians: Correlations within a Dataset of 53,210 Physician Reviews
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