An Empirical Examination of Factors Influencing the Intention to Use Physician Rating Websites

Kordzadeh, Nima

doi:10.24251/hicss.2019.525

Cited by 8 publications

(7 citation statements)

References 38 publications

(55 reference statements)

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“…A system higher in the perceived IH offers a positive user-performance relationship. Scholars also suggest that perceived usefulness/IH/value is the antecedent of consumer behavior [ 57 , 58 ]. For these reasons, we propose that helpful information on a PRW leads to assist users in positively evaluating the quality of physician healthcare services, lead to positive behavior toward that physician.…”

Section: Theoretical Background and Research Hypothesismentioning

confidence: 99%

Exploring the Impact of Linguistic Signals Transmission on Patients’ Health Consultation Choice: Web Mining of Online Reviews

Shah

Ali

Qayyum

et al. 2021

IJERPH

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Background: Patients face difficulties identifying appropriate physicians owing to the sizeable quantity and uneven quality of information in physician rating websites. Therefore, an increasing dependence of consumers on online platforms as a source of information for decision-making has given rise to the need for further research into the quality of information in the form of online physician reviews (OPRs). Methods: Drawing on the signaling theory, this study develops a theoretical model to examine how linguistic signals (affective signals and informative signals) in physician rating websites affect consumers’ decision making. The hypotheses are tested using 5521 physicians’ six-month data drawn from two leading health rating platforms in the U.S (i.e., Healthgrades.com and Vitals.com) during the COVID-19 pandemic. A sentic computing-based sentiment analysis framework is used to implicitly analyze patients’ opinions regarding their treatment choice. Results: The results indicate that negative sentiment, review readability, review depth, review spelling, and information helpfulness play a significant role in inducing patients’ decision-making. The influence of negative sentiment, review depth on patients’ treatment choice was indirectly mediated by information helpfulness. Conclusions: This paper is a first step toward the understanding of the linguistic characteristics of information relating to the patient experience, particularly the emerging field of online health behavior and signaling theory. It is also the first effort to our knowledge that employs sentic computing-based sentiment analysis in this context and provides implications for practice.

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Section: Theoretical Background and Research Hypothesismentioning

confidence: 99%

Exploring the Impact of Linguistic Signals Transmission on Patients’ Health Consultation Choice: Web Mining of Online Reviews

Shah

Ali

Qayyum

et al. 2021

IJERPH

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“…Reviews shared by users on available services do also add value to the community. It not only helps to enhance the credibility of the forum but also facilitates users to evaluate and decide from available treatment methods (Kordzadeh, 2019). There are three types of participants in an OHC.…”

Section: Participation Elementsmentioning

confidence: 99%

Online Healthcare Practices and Associated Stakeholders: Review of Literature for Future Research Agenda

Panda¹,

Mohapatra²

2021

Vikalpa

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The rise of online platforms for health information exchange is changing the traditional healthcare delivery practices. With Internet technologies, online healthcare practices are continuously growing through their diversified delivery functionalities with better and faster reachability. Participants use such forums for various purposes, for instance, to gather information, seek medical assistance, connect with other users, and purchase healthcare products or services. The need for a consolidated study, considering all key aspects of virtual healthcare, is crucial. We aim to examine the existing literature to study stakeholders of online healthcare and their behaviour dynamics, available functionalities and service delivery approaches during different phases. We have identified five key stakeholders who are vital for online healthcare deliveries and explored their contributions across life-cycle stages of online healthcare community (OHC) in India. The PRISMA reporting approach was used to select suitable literature for this study. About 78 articles were identified, which were shortlisted to 67 articles, keeping in mind the objectives of this study. Key findings from all these articles are segregated according to identified themes and systematically presented to enlarge the visibilities of associated functionalities. This study is one of the initial studies on India’s OHC that has defined associated stakeholders, functionalities and association dynamics during different life-cycle phases. People are proactively emerging towards OHC to acquire knowledge, share experience and decide their healthcare drives. Being operated virtually, information technology (IT) is the driving factor of OHC, and we have addressed the diversified IT aspects applicable in an OHC set-up. We also have accumulated all key attributes of OHC and produced a theoretical framework through this study, which academic researchers can use to understand the present approaches better and derive futuristic studies. Similarly, service providers can use the findings to evaluate their services, identify the present loopholes in the operational approaches and effectively manage the deliverables to meet end-user needs.

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“…Finally, our study contributes to the emergent body of research focusing on the reasons that motivate patients to use PRWs [21,29]. Prior work that examined the role of the pleasure motive vis-à-vis cognitive and executional costs, concluded that these factors provided an incomplete view of the motivations underlying patients' postings on PRWs [21].…”

Section: Theoretical Implicationsmentioning

confidence: 92%

Blowing the Whistle on Opioid Overprescription: Insights from Patient Feedback on Physician Rating Websites

Mamonov¹

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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Overprescription of opioid pain relievers is a known contributor to the growing opioid epidemic. Identification of medical providers that engage in overprescription has proven challenging. We examine the utility of physician rating websites (PRWs) as potential sources of data that may help identify overprescribing practices. We leverage text mining techniques to identify linguistic cues that are associated with known cases of overprescription. We find that patients flag potentially problematic medical providers in their reviews and suggest that intervention by authorities is warranted. Our study contributes to the growing body of literature on medical infoveillance by identifying patients' appeals to regulatory authorities as an important type of social signal for regulatory monitoring.

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An Empirical Examination of Factors Influencing the Intention to Use Physician Rating Websites

Cited by 8 publications

References 38 publications

Exploring the Impact of Linguistic Signals Transmission on Patients’ Health Consultation Choice: Web Mining of Online Reviews

Exploring the Impact of Linguistic Signals Transmission on Patients’ Health Consultation Choice: Web Mining of Online Reviews

Online Healthcare Practices and Associated Stakeholders: Review of Literature for Future Research Agenda

Blowing the Whistle on Opioid Overprescription: Insights from Patient Feedback on Physician Rating Websites

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