Can We Trust Online Physician Ratings? Evidence from Cardiac Surgeons in Florida

Lu, Susan; Rui, Huaxia

doi:10.2139/ssrn.2506292

Cited by 15 publications

(29 citation statements)

References 44 publications

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“…The fifth highest number of papers used secondary or archival data (7.1%) (Henriques & Antune, 2014;Lu & Rui, 2015;Nambisan, Luo, Kapoor, Patrick, & Cisler, 2015). Researchers who used this methodology collected data only from unreported publications, magazines, multimedia, and so on.…”

Section: Figure 4 Frequencies Of Used Methodologymentioning

confidence: 99%

The Trajectory of IT in Healthcare at HICSS: A Literature Review, Analysis, and Future Directions

Samhan¹,

Crampton²,

Ruane³

2018

CAIS

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Research has extensively demonstrated that healthcare industry has rapidly implemented and adopted information technology in recent years. Research in health information technology (HIT), which represents a major component of the Hawaii International Conference on System Sciences, demonstrates similar findings. In this paper, review the literature to better understand the work on HIT that researchers have conducted in HICSS from 2008 to 2017. In doing so, we identify themes, methods, technology types, research populations, context, and emerged research gaps from the reviewed literature. With much change and development in the HIT field and varying levels of adoption, this review uncovers, catalogs, and analyzes the research in HIT at HICSS in this ten-year period and provides future directions for research in the field.

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Section: Figure 4 Frequencies Of Used Methodologymentioning

confidence: 99%

The Trajectory of IT in Healthcare at HICSS: A Literature Review, Analysis, and Future Directions

Samhan¹,

Crampton²,

Ruane³

2018

CAIS

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“…They find that review depth has a positive effect on the helpfulness of the review, while product type (i.e., experience goods vs. search goods) has a moderating impact on the effect of review depth and review extremity on review helpfulness. In the healthcare domain, researchers have explored the relationship between doctors' online rating and offline quality to explore whether the online rating can reflect the true quality of doctors [22,25,43]. For example, Lu and Rui [43] study whether online rating can index doctors' medical quality.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the healthcare domain, researchers have explored the relationship between doctors' online rating and offline quality to explore whether the online rating can reflect the true quality of doctors [22,25,43]. For example, Lu and Rui [43] study whether online rating can index doctors' medical quality. Using data from RateMDs and hospitals, they find that online doctors' ratings can provide valuable information for patients to judge doctors' medical quality.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Patient generated content (PGC) (e.g., treatment process, doctor-related information and attitude toward the doctors in the form of review) has been considered as an important factor for patients to discern a doctor's quality and draw numerous researchers to study [22,25]. Recent studies on PGC have primarily focused on the quality and consequence of PGC, including the relationship between PGC and quality of care [43], and the effects of PGC on patient outcome and doctor performance [41,67]. However, there exists a limited understanding of how patient content is generated in the first place.…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Self-awareness of Being Observed on Patient Content Generation: An Empirical Examination from a Quasi Experiment

Hu¹,

Liu²,

Xiao³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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Though recent research demonstrates the impact of patient generated content on patient outcomes and doctor performance, we still have a limited understanding about how patient content is generated in the first place. In this research, we examine how patients' self-awareness of being observed by their own doctors in online healthcare platform influences patient generated content, including how much they generate and what they generate. Focusing on a leading online healthcare platform, we construct a panel dataset of patient generated content for a matched set of doctors. We find that patients' selfawareness of being observed can increase the quantity of patient generated content. Specially, "being observed" leads to more subjective content, while it has no relationship with objective content. Our results also demonstrate that the mechanism of "being observed" benefits the review quantity at the cost of review quality. We also discuss contributions to user generated content and online healthcare.

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“…If people selectively choose to post reviews of some products and services but not of others, the resulting distribution of reviews may suffer from selection bias. Indeed, existing research finds that the distributions of most reviews of retail products, motion pictures, books, and medical physicians are "J-shaped," meaning that consumers are more likely to provide positive reviews than negative reviews, and to an even greater extent more likely to provide positive reviews than moderate reviews (Chevalier and Mayzlin 2006;Hu et al 2007;Liu 2006;Lu and Rui 2017). These skewed distributions stand in contrast to "bell curve" distributions obtained in randomized experiments in which participants do not have a choice but are instead instructed to provide reviews of products.…”

Section: Literature Reviewmentioning

confidence: 99%

Incentives Can Reduce Bias in Online Reviews

Marinescu

Klein

Chamberlain³

et al. 2018

SSRN Journal

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Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Foundation, IZA runs the world's largest network of economists, whose research aims to provide answers to the global labor market challenges of our time. Our key objective is to build bridges between academic research, policymakers and society. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author.

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Can We Trust Online Physician Ratings? Evidence from Cardiac Surgeons in Florida

Cited by 15 publications

References 44 publications

The Trajectory of IT in Healthcare at HICSS: A Literature Review, Analysis, and Future Directions

The Trajectory of IT in Healthcare at HICSS: A Literature Review, Analysis, and Future Directions

The Impact of Self-awareness of Being Observed on Patient Content Generation: An Empirical Examination from a Quasi Experiment

Incentives Can Reduce Bias in Online Reviews

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