The influence of patient-generated reviews and doctor-patient relationship on online consultations in China

Hu, Yajie; Hui-wen, Zhou; Chen, Yuangao; Yao, JingTao; Su, Jiangwu

doi:10.1007/s10660-021-09506-8

Cited by 10 publications

(6 citation statements)

References 71 publications

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“…In other words, the comments' characteristics are less diagnostic and reliable compared to intimate social interactions, making them less likely to be utilized for judgment and decision-making. This finding is consistent with the findings of Hu et al . (2021), who contend that the doctor–patient relationship negatively moderates the influence of the number of comments on the number of online consultations in online health communities.…”

Section: Discussionsupporting

confidence: 94%

“…Specifically, high-scope cues are perceived to be more stable, reliable and diagnostic and consumers have more confidence in the information quality of high-scope cues, further resulting in consumers' less scrutiny and reliance on low-scope cues (Akdeniz et al ., 2013). For example, Hu et al . (2021) find that a positive doctor–patient relationship reduces the reference value of patient comments in online health communities.…”

Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

“…Additionally, the CUT reveals a crowding-out effect between high-scope and low-scope cues (Akdeniz et al ., 2013; Hu et al ., 2010). Previous literature indicates that the doctor–patient relationship can weaken the positive impact of the volume and length of comments on the number of consultation cases in health communities (Hu et al ., 2021). The high brand reputation might decrease the positive impacts of return policies (Rokonuzzaman et al ., 2020a).…”

Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

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Combination of streamers' product description and viewers' comments: moderating effect of streamer–viewer relationship strength

Peng,

Ding,

Zhang

2023

MIP

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PurposeThis study examines the relationship between streamers' product descriptions, customer comments and online sales and focuses on the moderating effect of streamer–viewer relationship strength.Design/methodology/approachBetween June 2021 and April 2022, the structured data of 965 livestreaming and unstructured text data of 42,956,147 characters from two major live-streaming platforms were collected for the study. Text analysis and regression analysis methods were employed for data analysis.FindingsFirst, the authors' analysis reveals an inverted U-shaped relationship between comment length and product sales. Notably, comment volume and comment emotion positively influence product sales. Furthermore, the semantic richness, emotion and readability of streamers' product descriptions also positively influence product sales. Secondly, the authors find that the strength of streamer–viewer relationship weakens the positive effects of comment volume and comment emotion without moderating the inverted U-shaped effect of comment length. Lastly, the strength of streamer–viewer relationship also diminishes the positive effects of emotion, semantics and readability of streamers' product descriptions on product sales.Originality/valueThis study is the first to concurrently examine the direct and interactive effects of user-generated content (UGC) and marketer-generated content (MGC) on consumer purchase behaviors in livestreaming e-commerce, offering a novel perspective on individual decision-making and cue utilization in the social retail context.

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Section: Discussionsupporting

confidence: 94%

Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

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Combination of streamers' product description and viewers' comments: moderating effect of streamer–viewer relationship strength

Peng,

Ding,

Zhang

2023

MIP

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“…believe that the government should play a role in governance. They pointed out that the government should scientifically design the framework of laws and regulations for doctor–patient disputes in China, clarify critical points such as risk prevention and patient-centeredness [ 17 , 18 , 19 ], and should give full play to the role of third-party mediation mechanisms in resolving doctor–patient disputes [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Research on the Cooperative Governance Path of Multiple Stakeholders in Doctor–Patient Disputes under the Environment of Information Asymmetry

Jiang

2023

IJERPH

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The number of doctor–patient conflicts and disputes in China has been increasing recently. In order to solve the current social problems of the tense doctor–patient relationship and frequent medical disputes, this article, based on grounded theory, uses qualitative analysis software to conduct grounded coding on 622 cases of doctor–patient disputes randomly selected by stratification. After successively adopting open, axial, and selective coding, the relationship structure between the causes and development of medical disputes is summarized. Furthermore, this relationship structure can be used to analyze further and discuss the causes of doctor–patient disputes from the perspective of multiple co-governance and the governance framework of doctor–patient disputes. Finally, it reminds us of the need to standardize government’s regulatory responsibilities, promote the equal distribution of medical resources, strengthen the communication awareness between doctors and patients, reduce the information asymmetry between doctors and patients, and build a preventive mechanism-oriented multi-subject collaborative governance path to promote the relationship between doctors and patients in China. We provide relevant countermeasures and suggestions for harmonious development and the smooth resolution of doctor–patient conflicts.

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“…The research on patient-generated health data becomes popular, especially because of the rise of social media [ 16 ], and these data are used in multiple fields [ 17 ]. It has been well documented that the interaction between physicians and patients also influences patients’ consultation behavior [ 18 , 19 , 20 , 21 ]. The researcher analyzed the impact of reputation from multi and cross-level perspectives [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

A Research Based on Online Medical Platform: The Influence of Strong and Weak Ties Information on Patients’ Consultation Behavior

2022

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As an indispensable part of contemporary medical services, Internet-based medical platforms can provide patients with a full range of multi-disciplinary and multi-modal treatment services. Along with the emergence of many healthcare influencers and the increasing connection between online and offline consultations, the operation of individual physicians and their teams on Internet-based medical platforms has started to attract a lot of attention. The purpose of this paper is to, based on an Internet platform, study how the information on physicians’ homepages influences patients’ consultation behavior, so as to provide suggestions for the construction of physicians’ personal websites. We distinguish variables into strong- and weak-ties types, dependent on whether deep social interactions between physicians and patients have happened. If there exist further social interactions, we define the variable as the “strong ties” type, otherwise, “weak ties”. The patients’ consultation behavior will be expressed as the volume of online consultation, i.e., the number of patients. We obtained the strong and weak ties information of each physician based on EWM (entropy weight method), so as to establish a regression model with explained variable, i.e., the number of patients, and three explanatory variables, i.e., the strong and weak ties information, and their interaction term. The estimation results verified our hypotheses and proved to be robust. It showed that both strong and weak ties information can positively influence patients’ consultation behavior, and the influence of weak ties information is greater. Regarding the positive influence of strong and weak ties, we found a trade off effect between them. Based on the results, we finalize with some suggestions on how to improve a physician’s online medical consultation volume.

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The influence of patient-generated reviews and doctor-patient relationship on online consultations in China

Cited by 10 publications

References 71 publications

Combination of streamers' product description and viewers' comments: moderating effect of streamer–viewer relationship strength

Combination of streamers' product description and viewers' comments: moderating effect of streamer–viewer relationship strength

Research on the Cooperative Governance Path of Multiple Stakeholders in Doctor–Patient Disputes under the Environment of Information Asymmetry

A Research Based on Online Medical Platform: The Influence of Strong and Weak Ties Information on Patients’ Consultation Behavior

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