What Patients Say About Their Doctors Online: A Qualitative Content Analysis

López, Andrea; Detz, Alissa; Ratanawongsa, Neda; Sarkar, Urmimala

doi:10.1007/s11606-011-1958-4

Cited by 227 publications

(202 citation statements)

References 27 publications

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“…33 Although physicians may believe that negative ratings outnumber positive ones on physician-rating Web sites, 34 numerous studies have found that not to be the case. 20,[35][36][37][38][39][40][41][42][43][44] This finding is consistent with what is known about consumer-sourced rating systems in general. In our study, parents reported posting positive ratings for physicians more often than negative ratings, by a factor of 3 to 1.…”

Section: -33supporting

confidence: 82%

Parental Awareness and Use of Online Physician Rating Sites

Hanauer

Zheng

Singer³

et al. 2014

Pediatrics

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WHAT'S KNOWN ON THIS SUBJECT: Public awareness and usage of physician-rating Web sites have been increasing over the last few years. Such ratings can influence adults' decisions about choosing a physician, but their influence on decisions for children' s physicians has not been characterized. WHAT THIS STUDY ADDS:In this nationally representative survey of parents, we found that the majority (74%) are aware of rating Web sites and slightly more than one-quarter (28%) had sought information on rating Web sites when choosing a primary care physician for their children. abstract BACKGROUND AND OBJECTIVE: The US public is increasingly using online rating sites to make decisions about a variety of consumer goods and services, including physicians. We sought to understand, within the context of other types of rating sites, parents' awareness, perceptions, and use of physician-rating sites for choosing primary care physicians for their children. METHODS:This cross-sectional, nationally representative survey of 3563 adults was conducted in September 2012. Participants were asked about rating Web sites in the context of finding a primary care physician for their children and about their previous experiences with such sites. RESULTS:Overall, 2137 (60%) of participants completed the survey. Among these respondents, 1619 were parents who were included in the present analysis. About three-quarters (74%) of parents were aware of physician-rating sites, and about one-quarter (28%) had used them to select a primary care physician for their children. Based on 3 vignettes for which respondents were asked if they would follow a neighbor' s recommendation about a primary care physician and using multivariate analyses, respondents exposed to a neighbor' s recommendation and positive online physician ratings were significantly more likely to choose the recommended physician (adjusted odds ratio: 3.0 [95% confidence interval: 2.1-4.4]) than respondents exposed to the neighbor's recommendation alone. Conversely, respondents exposed to the neighbor's recommendation and negative online ratings were significantly less likely to choose the neighbor children's physician (adjusted odds ratio: 0.09 [95% confidence interval: 0.03-0.3]). CONCLUSIONS:Parents are beginning to use online physician ratings, and these ratings have the potential to influence choices of their children' s primary care physician. Pediatrics 2014;134:e966-e975 AUTHORS:

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Section: -33supporting

confidence: 82%

Parental Awareness and Use of Online Physician Rating Sites

Hanauer

Zheng

Singer³

et al. 2014

Pediatrics

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“…1 The provision of rankings (e.g., star ratings) may be interpreted to imply that physician rating websites measure quality. Thus an important question to explore is whether physician rating website star ratings have validity for assessing the quality of care.…”

Section: How Do Patients and Physicians Perceive The Ratings And Commmentioning

confidence: 99%

“…1,3 Compared to numerical ratings, narrative ratings may receive a disproportionate share of attention. Numerical or star ratings can be summarized with a mean score, but narrative comments are individually displayed and draw the reader's gaze.…”

Section: How Do Patients and Physicians Perceive The Ratings And Commmentioning

confidence: 99%

Consider Embracing the Reviews from Physician Rating Websites

Gordon

2017

J GEN INTERN MED

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“…Recently, there is an increasing number of sites where users rate doctors. Several works have analyzed the content and scores of such reviews, mostly by manually examining a subset of them [4,5,6,7]. However, not much work has studied how to automatically classify doctor reviews.…”

Section: Introductionmentioning

confidence: 99%

“…López et al performed a qualitative content analysis of doctor reviews [6]. They found that most reviews were positive and identified three over-arching domains in the reviews they analyzed: interpersonal manner, technical competence and system issues.…”

Section: Introductionmentioning

confidence: 99%

Automatic Classification of Online Doctor Reviews: Evaluation of Text Classifier Algorithms (Preprint)

Rivas¹,

Montazeri²,

Le³

et al. 2018

Preprint

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Background: An increasing number of doctor reviews are being generated by patients on the internet. These reviews address a diverse set of topics (features), including wait time, office staff, doctor's skills and bedside manner. Most previous work on automatic analysis of online customer reviews assumes that (a) product features are described unambiguously by a small number of keywords, e.g., "battery" for phones, and (b) the opinion for each feature has positive or negative sentiment. However, in the domain of doctor reviews, this setting is too restrictive: a feature such as "visit duration" for doctor reviews may be expressed in many ways, and does not necessarily have positive/negative sentiment.

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What Patients Say About Their Doctors Online: A Qualitative Content Analysis

Cited by 227 publications

References 27 publications

Parental Awareness and Use of Online Physician Rating Sites

Parental Awareness and Use of Online Physician Rating Sites

Consider Embracing the Reviews from Physician Rating Websites

Automatic Classification of Online Doctor Reviews: Evaluation of Text Classifier Algorithms (Preprint)

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