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Table 1 Related research on patients’ purchasing behavior

From: Combined effects of cues influencing patients’ purchasing behavior in online health-care communities: qualitative comparative analysis based on cue utilization theory

Related research

Independent variables

Dependent variables

Results

Yang, Guo, Wu and Ju (2015) [4]

The score of patients and the score of platforms as third party

The number of patients consulting online physicians

The synergistic effect between system-generated information and patient-generated information is positively correlated with the patient’s decision to consult a physician

Zeng and Guo (2018) [21]

Personal attributes and word of mouth

Patients’ behavior to choose their physicians

The frequency of physicians’ reply, the number of services opened, the professional title of physicians, the degree of information disclosure, and the online word of mouth positively affect patients’ behavior of choosing physicians

Liu, Wu and Lu (2017) [22]

Generate patients’ and physicians’ information, generate system information

Patients’ purchasing behavior

The generated information of patients and physicians has a positive influence on patients’ purchase of services, while the generated information of the system has no display effect

Cao, Liu, Zhu, Hu and Chen (2017) [5]

Physicians’ service quality and electronic word-of-mouth(eWOM)

Patients’ selection decisions

Service quality and eWOM both had positive effects on patients’ selection decisions. Disease knowledge increased the importance of service quality on patients’ choice. Disease risk and disease knowledge reduce the influence of eWOM on patient choice

Liu, Guo, Wu and Wu (2016) [7]

Multilevel and cross-level reputation

Physicians’ performance

The number of physicians’ appointments is positively correlated with their individual offline and online reputations, as well as the offline and online reputations of the hospitals where the physicians work

Liu, Li and Ju (2019) [23]

Online service reviews and offline service reviews

Number of telephone consultation

Patients with high-risk diseases were more likely to pay attention to offline patient reviews, while patients with low-risk diseases were more likely to pay attention to online service reviews

Wu and Lu (2017) [24]

Online text consultation, telephone consultation

Offline consulting service reservation

Text consultation was positively correlated with offline service appointment, while telephone consultation was negatively correlated with offline service appointment

Li, Song, Zhao, Guo, Ju and Vogel (2019) [25]

Subjective and objective information in OHCs

Patients are transferred from online to the physician’s offline service

Patients are more likely to switch from online to offline medical services with physicians whose subjective and objective information on their homepages show a higher quality

Shah, Yan, Shah, Shah and Mamirkulova (2019) [26]

Patient-generated signals (PGSs), system-generated signals (SGSs)

Physician choice

PGSs SGSs have a significant impact on patient decision. Disease risk negatively moderates the relationship between PGSs and information search, while disease risk positively moderates the effect of the two signals on patients’ willingness to pay prem