Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Oct 6, 2018
Open Peer Review Period: Oct 10, 2018 - Dec 5, 2018
Date Accepted: May 2, 2019
(closed for review but you can still tweet)
Comprehensive analysis of online ratings of urologists
ABSTRACT
Background:
Physician rating websites are being increasingly used by patients to help guide physician choice. As such, an understanding of these websites and factors that influence ratings is valuable to physicians.
Objective:
We sought to perform a comprehensive analysis of online urology ratings information, with specific focus on the relationship between number of ratings or comments and overall physician rating.
Methods:
We conducted an analysis of urologist ratings on Healthgrades.com. Data retrieval focused on physician and staff ratings information. Analysis included descriptive statistics of physician and staff ratings and correlation analysis between physician or staff performance and overall physician rating. Finally, we performed a best-fit analysis to assess for association between number of physician ratings and overall rating.
Results:
From a total of 9,921 urology profiles analyzed, 99,959 ratings and 23,492 comments were seen. The vast majority of ratings were either 5 (“excellent”) (68%) or 1 (“poor”) (24%). All physician and staff performance ratings demonstrated a positive and statistically significant correlation with overall physician rating. Best-fit analysis demonstrated a negative relationship between number of ratings or comments and overall rating until physicians achieved 21 ratings or 6 comments. Thereafter, a positive relationship was seen.
Conclusions:
In our study, a dichotomous rating distribution was seen with over 90% of ratings being either excellent or poor. A negative relationship between number of ratings or comments and overall rating was initially seen, after which a positive relationship was demonstrated. Combined, these data suggest that physicians can benefit from understanding online ratings and that proactive steps to encourage patient rating submissions may help optimize overall rating.
Citation
Per the author's request the PDF is not available.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.