A Comparison of Online Physician Ratings and Internal Patient-Submitted Ratings from a Large Healthcare System.

Kanu Okike, Natalie R Uhr, Sherry Y M Shin, Kristal C Xie, Chong Y Kim, Tadashi T Funahashi, Michael H Kanter
Author Information
  1. Kanu Okike: Hawaii Permanente Medical Group, Kaiser Moanalua Medical Center, Moanalua Road, Honolulu, HI, USA. okike@post.harvard.edu.
  2. Natalie R Uhr: Harvard University, Cambridge, MA, USA.
  3. Sherry Y M Shin: University of California-Los Angeles, Los Angeles, CA, USA.
  4. Kristal C Xie: Boston University, Boston, MA, USA.
  5. Chong Y Kim: Southern California Permanente Medical Group, Pasadena, CA, USA.
  6. Tadashi T Funahashi: Southern California Permanente Medical Group, Pasadena, CA, USA.
  7. Michael H Kanter: Department of Clinical Science, Kaiser Permanente, School of Medicine, Pasadena, CA, USA.

Abstract

BACKGROUND: Physician online ratings are ubiquitous and influential, but they also have their detractors. Given the lack of scientific survey methodology used in online ratings, some health systems have begun to publish their own internal patient-submitted ratings of physicians.
OBJECTIVE: The purpose of this study was to compare online physician ratings with internal ratings from a large healthcare system.
DESIGN: Retrospective cohort study comparing online ratings with internal ratings from a large healthcare system.
SETTING: Kaiser Permanente, a large integrated healthcare delivery system.
PARTICIPANTS: Physicians in the Southern California region of Kaiser Permanente, including all specialties with ambulatory clinic visits.
MAIN MEASURES: The primary outcome measure was correlation between online physician ratings and internal ratings from the integrated healthcare delivery system.
RESULTS: Of 5438 physicians who met inclusion and exclusion criteria, 4191 (77.1%) were rated both online and internally. The online ratings were based on a mean of 3.5 patient reviews, while the internal ratings were based on a mean of 119 survey returns. The overall correlation between the online and internal ratings was weak (Spearman's rho .23), but increased with the number of reviews used to formulate each online rating.
CONCLUSIONS: Physician online ratings did not correlate well with internal ratings from a large integrated healthcare delivery system, although the correlation increased with the number of reviews used to formulate each online rating. Given that many consumers are not aware of the statistical issues associated with small sample sizes, we would recommend that online rating websites refrain from displaying a physician's rating until the sample size is sufficiently large (for example, at least 15 patient reviews). However, hospitals and health systems may be able to provide better information for patients by publishing the internal ratings of their physicians.

Keywords

References

  1. J Gen Intern Med. 2012 Jun;27(6):685-92 [PMID: 22215270]
  2. J Med Internet Res. 2012 Apr 10;14(2):e50 [PMID: 22491423]
  3. N Engl J Med. 2017 Jan 19;376(3):197-199 [PMID: 28099823]
  4. J Leg Med. 2009 Jul-Sep;30(3):349-88 [PMID: 19681012]
  5. J Med Internet Res. 2011 Nov 16;13(4):e95 [PMID: 22088924]
  6. Am J Orthop (Belle Mead NJ). 2014 Aug;43(8):359-63 [PMID: 25136868]
  7. J Urol. 2013 Jun;189(6):2269-73 [PMID: 23228385]
  8. Otolaryngol Head Neck Surg. 2016 Sep;155(3):411-5 [PMID: 27221579]
  9. J Med Internet Res. 2013 Jul 02;15(7):e131 [PMID: 23819959]
  10. Health Policy. 2014 Oct;118(1):66-73 [PMID: 24836021]
  11. Cureus. 2018 Sep 17;10(9):e3312 [PMID: 30473945]
  12. J Med Internet Res. 2013 Aug 06;15(8):e157 [PMID: 23919987]
  13. J Am Med Inform Assoc. 2018 Apr 1;25(4):401-407 [PMID: 29025145]
  14. J Med Internet Res. 2012 Feb 24;14(1):e38 [PMID: 22366336]
  15. BMJ. 2018 Apr 25;361:k1343 [PMID: 29695473]
  16. BMJ. 2017 May 16;357:j1797 [PMID: 28512089]
  17. Mayo Clin Proc. 2018 Apr;93(4):453-457 [PMID: 29622095]
  18. Am J Gastroenterol. 2013 Nov;108(11):1676-85 [PMID: 24192941]
  19. J Am Med Inform Assoc. 2014 Nov-Dec;21(6):1098-103 [PMID: 24918109]
  20. J Med Internet Res. 2013 Feb 01;15(2):e24 [PMID: 23372115]
  21. Aust J Prim Health. 2014;20(3):222-3 [PMID: 24852125]
  22. J Med Internet Res. 2016 Dec 13;18(12):e324 [PMID: 27965191]
  23. JAMA. 2014 Feb 19;311(7):734-5 [PMID: 24549555]
  24. Br J Gen Pract. 1994 Aug;44(385):349-51 [PMID: 8068392]
  25. J Med Internet Res. 2011 Dec 06;13(4):e113 [PMID: 22146737]
  26. Virtual Mentor. 2013 Nov 01;15(11):932-6 [PMID: 24257083]
  27. Orthopedics. 2017 Sep 1;40(5):304-310 [PMID: 28817163]
  28. Inform Prim Care. 2009;17(4):249-53 [PMID: 20359403]
  29. J Surg Res. 2018 Jul;227:1-6 [PMID: 29804840]

MeSH Term

Ambulatory Care Facilities
Delivery of Health Care, Integrated
Female
Humans
Internet
Male
Patient Satisfaction
Physicians
Retrospective Studies
Surveys and Questionnaires

Word Cloud

Created with Highcharts 10.0.0ratingsonlineinternallargehealthcaresystemreviewsphysicianratingPhysicianusedphysiciansintegrateddeliverycorrelationpatientGivensurveyhealthsystemsstudyKaiserPermanentebasedmeanincreasednumberformulatesampleRatingsBACKGROUND:ubiquitousinfluentialalsodetractorslackscientificmethodologybegunpublishpatient-submittedOBJECTIVE:purposecompareDESIGN:RetrospectivecohortcomparingSETTING:PARTICIPANTS:PhysiciansSouthernCaliforniaregionincludingspecialtiesambulatoryclinicvisitsMAINMEASURES:primaryoutcomemeasureRESULTS:5438metinclusionexclusioncriteria4191771%ratedinternally35119returnsoverallweakSpearman'srho23CONCLUSIONS:correlatewellalthoughmanyconsumersawarestatisticalissuesassociatedsmallsizesrecommendwebsitesrefraindisplayingphysician'ssizesufficientlyexampleleast15HoweverhospitalsmayableprovidebetterinformationpatientspublishingComparisonOnlineInternalPatient-SubmittedLargeHealthcareSystemsatisfaction

Similar Articles

Cited By