Table 6.

Summary of results.

Hypothesis description	Result
H1a: The more recent the physician was last online, the more patients selected that physician	Not Supported
H1b: The number of services opened by the physician positively influences the patient's selection behavior.	Supported
H2a: Physician's title positively influences patients' selection behavior.	Not Supported
H2b: The number of physician articles positively influences patients' selection behavior.	Supported
H3a: Physicians use of avatars positively influences patients' selection behavior.	Supported
H3b: Physician's introduction positively influences patients' selection behavior.	Not Supported
H3c: Physician's professional field positively influences patients' selection behavior.	Not Supported
H4: The number of patients consultations after physician's offline diagnosis positively influences patients' selection behavior.	Supported
H5a: The number of patients' votes for physicians positively influences patients' selection behavior.	Supported
H5b: The number of thank-you letters of physicians positively influences patients' selection behavior.	Supported
H5c: The number of virtual gifts of physicians positively influences patients' selection behavior.	Supported
H5d: The comprehensive recommendation hotness of physicians positively influences patients' selection behavior.	Supported
H6a: Disease risk significantly moderates the relationship between the number of patients votes and patients' selection behavior.	Supported
H6b: Disease risk significantly moderates the relationship between the number of thank-you letters and patients' selection behavior.	Not Supported
H6c: Disease risk significantly moderates the relationship between the number of virtual gifts and patients' selection behavior.	Supported
H6d: Disease risk significantly moderates the relationship between comprehensive recommendation hotness and patients' selection behavior.	Supported