2013
DOI: 10.2196/jmir.2360
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Eight Questions About Physician-Rating Websites: A Systematic Review

Abstract: BackgroundPhysician-rating websites are currently gaining in popularity because they increase transparency in the health care system. However, research on the characteristics and content of these portals remains limited.ObjectiveTo identify and synthesize published evidence in peer-reviewed journals regarding frequently discussed issues about physician-rating websites.MethodsPeer-reviewed English and German language literature was searched in seven databases (Medline (via PubMed), the Cochrane Library, Busines… Show more

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Cited by 152 publications
(131 citation statements)
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References 32 publications
(157 reference statements)
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“…These online rating sites are gaining popularity among patients seeking information about their physicians and other health care providers; but, to date, they have received relatively little attention in the peerreviewed literature [1].…”
Section: Introductionmentioning
confidence: 99%
“…These online rating sites are gaining popularity among patients seeking information about their physicians and other health care providers; but, to date, they have received relatively little attention in the peerreviewed literature [1].…”
Section: Introductionmentioning
confidence: 99%
“…Comparing these two types of rewards, Table 2 showed the standardized regression coefficients of ∆ MR t and ∆ PR t were 0.359 and 0.192, respectively, meaning that the material reward had a larger effect than psychological reward. Moreover, we examined the multiple quadratic regression model as model (2).…”
Section: Principal Resultsmentioning
confidence: 99%
“…All of the estimates are statistically significantly at a 0.1% level. Table 3 reports the regression analysis results for model (2), including the standardized regression coefficients, standard errors, t-values, and p-values for all variables. In comparison with model (1), the R-Squared value is raised from 53.4% to 57.0%, which means that the addition of two quadratic variables could improve the original model.…”
Section: Descriptive Statisticsmentioning
confidence: 99%
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“…Before using ratings to determine the quality of care, it should be taken into consideration that ratingsare mostly sharedanonymously, and that rating values are not always risk adjusted and may therefore be vulnerable to multiple reviews by one individual or fraud. Moreover, ratings are often based on only a few reviews and are predominantly positive [5][6][7]. Furthermore, people providing feedback on health care via social media are presumably not always representative for the patient population.…”
Section: Introductionmentioning
confidence: 99%