Analysis of Online Urologist Ratings: Are Rating Differences Associated With Subspecialty?

online physician ratings subspecialty urology

Journal

Journal of patient experience
ISSN: 2374-3735
Titre abrégé: J Patient Exp
Pays: United States
ID NLM: 101688338

Informations de publication

Date de publication:
Dec 2020
Historique:
entrez: 18 1 2021
pubmed: 19 1 2021
medline: 19 1 2021
Statut: ppublish

Résumé

Patients are increasingly using online rating websites to obtain information about physicians and to provide feedback. We performed an analysis of urologist online ratings, with specific focus on the relationship between overall rating and urologist subspecialty. We conducted an analysis of urologist ratings on Healthgrades.com. Ratings were sampled across 4 US geographical regions, with focus across 3 practice types (large and small private practice, academic) and 7 urologic subspecialties. Statistical analysis was performed to assess for differences among subgroup ratings. Data were analyzed for 954 urologists with a mean age of 53 (±10) years. The median overall urologist rating was 4.0 [3.4-4.7]. Providers in an academic practice type or robotics/oncology subspecialty had statistically significantly higher ratings when compared to other practice settings or subspecialties (

Identifiants

pubmed: 33457546
doi: 10.1177/2374373520951901
pii: 10.1177_2374373520951901
pmc: PMC7786750
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1062-1067

Informations de copyright

© The Author(s) 2020.

Déclaration de conflit d'intérêts

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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Auteurs

Jacqueline Zillioux (J)

Department of Urology, University of Virginia, VA, USA.

C William Pike (CW)

Georgetown University School of Medicine, Washington, DC, USA.

Devang Sharma (D)

Department of Urology, University of Virginia, VA, USA.

David E Rapp (DE)

Department of Urology, University of Virginia, VA, USA.

Classifications MeSH