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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)

The final, peer-reviewed published version of this preprint can be found here:

Online Ratings of Urologists: Comprehensive Analysis

Pike CW, Zillioux J, Rapp D

Online Ratings of Urologists: Comprehensive Analysis

J Med Internet Res 2019;21(7):e12436

DOI: 10.2196/12436

PMID: 31267982

PMCID: 6632102

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Online Ratings of Urologists: Comprehensive Analysis

  • C William Pike; 
  • Jacqueline Zillioux; 
  • David Rapp

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 a specific focus on the relationship between number of ratings or comments and overall physician rating.

Methods:

We analyzed urologist ratings on the Healthgrades website. The data retrieval focused on physician and staff ratings information. Our 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 an association between number of physician ratings and overall rating.

Results:

From a total of 9921 urology profiles analyzed, there were 99,959 ratings and 23,492 comments. Most ratings were either 5 (“excellent”) (67.53%, 67,505/99,959) or 1 (“poor”) (24.22%, 24,218/99,959). All physician and staff performance ratings demonstrated a positive and statistically significant correlation with overall physician rating (P<.001 for all analyses). 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 more than 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

Please cite as:

Pike CW, Zillioux J, Rapp D

Online Ratings of Urologists: Comprehensive Analysis

J Med Internet Res 2019;21(7):e12436

DOI: 10.2196/12436

PMID: 31267982

PMCID: 6632102

Per the author's request the PDF is not available.

© 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.