Rate Your Physician: Findings from a Lithuanian Physician Rating Website

Bäumer, Frederik Simon; Kersting, Joschka; Kuršelis, Vytautas; Geierhos, Michaela

doi:10.1007/978-3-319-99972-2_4

Cited by 7 publications

(5 citation statements)

References 14 publications

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“…Several studies found that the maturity level of PRWs was not uniform across countries. While PRWs have been adopted widely in the United States, the United Kingdom, and Canada, they were at an early stage of adoption in other countries, such as Australia [ 34 ], Switzerland [ 55 ], Lithuania [ 56 ], and Germany [ 57 ]. Data quality issues with PRWs in these countries were more pronounced when compared with other nations.…”

Section: Discussionmentioning

confidence: 99%

Data Quality Issues With Physician-Rating Websites: Systematic Review

Mulgund¹,

Sharman²,

Anand³

et al. 2020

J Med Internet Res

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Background In recent years, online physician-rating websites have become prominent and exert considerable influence on patients’ decisions. However, the quality of these decisions depends on the quality of data that these systems collect. Thus, there is a need to examine the various data quality issues with physician-rating websites. Objective This study’s objective was to identify and categorize the data quality issues afflicting physician-rating websites by reviewing the literature on online patient-reported physician ratings and reviews. Methods We performed a systematic literature search in ACM Digital Library, EBSCO, Springer, PubMed, and Google Scholar. The search was limited to quantitative, qualitative, and mixed-method papers published in the English language from 2001 to 2020. Results A total of 423 articles were screened. From these, 49 papers describing 18 unique data quality issues afflicting physician-rating websites were included. Using a data quality framework, we classified these issues into the following four categories: intrinsic, contextual, representational, and accessible. Among the papers, 53% (26/49) reported intrinsic data quality errors, 61% (30/49) highlighted contextual data quality issues, 8% (4/49) discussed representational data quality issues, and 27% (13/49) emphasized accessibility data quality. More than half the papers discussed multiple categories of data quality issues. Conclusions The results from this review demonstrate the presence of a range of data quality issues. While intrinsic and contextual factors have been well-researched, accessibility and representational issues warrant more attention from researchers, as well as practitioners. In particular, representational factors, such as the impact of inline advertisements and the positioning of positive reviews on the first few pages, are usually deliberate and result from the business model of physician-rating websites. The impact of these factors on data quality has not been addressed adequately and requires further investigation.

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Section: Discussionmentioning

confidence: 99%

Data Quality Issues With Physician-Rating Websites: Systematic Review

Mulgund¹,

Sharman²,

Anand³

et al. 2020

J Med Internet Res

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show abstract

“…The effective use of physician-rating websites remained primarily dependent on users' cognitive and intellectual capabilities. [34,49,[53][54][55][56][57] Appropriate amount of data completeness…”

Section: Citationsmentioning

confidence: 99%

“…Most studies highlighted IQ and CQ issues, which are foundational to achieving other types of data quality. Although the number of papers published on RQ [30][31][32] and AQ [55][56][57] issues has increased in recent years, more research is warranted on these issues. Specifically, the misleading impact of inline advertisements and the effect from framing reviews differently warrant further investigation.…”

Section: Opportunities For Future Researchmentioning

confidence: 99%

Data Quality Issues With Physician-Rating Websites: Systematic Review (Preprint)

Mulgund¹,

Sharman²,

Anand³

et al. 2019

Preprint

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BACKGROUND Online physician rating websites have witnessed a steep rise in prominence over the years and exert considerable influence on high-stake patient decisions. However, the quality of these decisions depends on the quality of data collected by these systems. Hence, there is a need to understand the various data quality issues that exist in such websites. OBJECTIVE The purpose of this systemic review is to collect the data quality issues discussed in previous studies and classify them based on the data quality framework put forward by Wang et al. This review summarizes the findings and provides an in-depth discussion of various categories of data quality issues and their implications on the users of physician rating websites. METHODS We performed a systematic literature search in ACM Digital Library, EBSCO, Springer, PubMed, and Google Scholar. We identified any quantitative, qualitative and mixed-method paper that investigated data quality issues in physician rating websites. Over 192 articles were screened, and 33 were analyzed and summarized for this systematic review. RESULTS We identified 33 studies to collect 19 unique data quality issues that afflict physician rating sites. We classify these issues into 4 categories: Intrinsic, Contextual, Accessible and Representational. 58% (19/33) papers reported the presence of Intrinsic data quality errors, 48% (16/33) highlighted Contextual data quality issues. A small yet considerable number of studies (10/33) discussed issues of Representational & Accessibility data quality. More than half of the papers discuss multiple categories of data quality issues. CONCLUSIONS The results of this review demonstrate the presence of a range of data quality issues. While Intrinsic and Contextual factors have been well researched, Accessibility and Representational issues warrant more attention from researchers as well as practitioners. Notably, the Representational factors such as the impact of inline advertisements, positioning of positive reviews, which are usually deliberate and an artifact of the business or revenue model of the PRWs warrant more emphasis.

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“…The number of websites where patients can publicly share their health care experiences has grown rapidly in recent years [ 1 ]. These web-based platforms are characterized by patients sharing their subjective perceived health experience with the entire web-based community by creating qualitative reviews and quantitative ratings [ 2 ]. In addition, there is an increasing number of patients who use these websites to make their health-related decisions as well as to search for and select a suitable health service provider [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Social Influence on the Intention to Use Physician Rating Websites: Moderated Mediation Analysis Using a Mixed Methods Approach

Guetz¹,

Bidmon²

2022

J Med Internet Res

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Background Physician rating websites (PRWs) have become increasingly important in the cross-section between health and digitalization. Social influence plays a crucial role in human behavior in many domains of life, as can be demonstrated by the increase in high-profile influential individuals such as social media influencers (SMIs). Particularly in the health-specific environment, the opinion of family and friends has a significant influence on health-related decisions. However, so far, there has been little discussion about the role of social influence as an antecedent of behavioral intention to use PRWs. Objective On the basis of theories of social psychology and technology acceptance and theories from the economic perspective, this study aimed to evaluate the impact of social influence on the behavioral intention to use PRWs. Methods We conducted 2 studies by applying a mixed methods approach including a total of 712 participants from the Austrian population. The impact of social influence on the behavioral intention to use PRWs was investigated through linear regression and mediation and moderated mediation analysis using the PROCESS macro 4.0 in SPSS 27 (IBM Corp). Results The 2 studies show similar results. In study 1, an experiment, no direct effect of social influence on the behavioral intention to use PRWs could be detected. However, an indirect effect of social influence on the behavioral intention to use PRWs via credibility (b=0.572; P=.005) and performance expectancy (b=0.340; P<.001) could be confirmed. The results of study 2, a cross-sectional study, demonstrate that social influence seems to have a direct impact on the behavioral intention to use PRWs (b=0.410; P<.001). However, when calculating the proposed mediation model, it becomes clear that this impact may partly be explained through the 2 mediator variables—credibility (b=0.208; P<.001) and performance expectancy (b=0.312; P<.001). In contrast to the observed direct and indirect effect, neither demographic nor psychographic variables have a significant moderating impact on the influencing chain in study 2. Conclusions This study provides an indication that social influence has at least an indirect impact on the behavioral intention to use PRWs. It was observed that this impact is exerted through credibility and performance expectancy. According to the findings of both studies, social influence has the potential to boost the use of PRWs. As a result, these web-based networks might be a promising future interface between health care and digitalization, allowing health care practitioners to gain a beneficial external impact while also learning from feedback. Social influence nowadays is not just limited to friends and family but can also be exerted by SMIs in the domain of PRW use. Thus, from a marketing perspective, PRW providers could think of collaborating with SMIs, and our results could contribute to stimulating discussion in this vein.

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Rate Your Physician: Findings from a Lithuanian Physician Rating Website

Cited by 7 publications

References 14 publications

Data Quality Issues With Physician-Rating Websites: Systematic Review

Data Quality Issues With Physician-Rating Websites: Systematic Review

Data Quality Issues With Physician-Rating Websites: Systematic Review (Preprint)

The Impact of Social Influence on the Intention to Use Physician Rating Websites: Moderated Mediation Analysis Using a Mixed Methods Approach

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