BACKGROUND
Online health communities (OHCs), with a wealth of multi-source information exchange, have provided a convenient way for diabetes patients to actively involve in their self-management and been widely used. Information exchange assists patients with health-related decisions to actively engage in their care, and reduce the occurrence of potential complications of diabetes. However, there has been relatively little research on the information exchange behaviors and its effect on health on professional online medical platforms—OHCs.
OBJECTIVE
Using a social exchange theory, we focus on two sources of information (doctors and patients) to investigate information exchange behaviors and moderating effects of information price.
METHODS
The logistic and ordinal regression models are used to get our empirical results by collecting a rich dataset from the biggest OHC in China.
RESULTS
We found that first information sharing from doctors (β=0.014, p<0.001) and other patients (β=0.009, p<0.01) can promote the patient’s information sharing behavior. Second, the moderating effects of information price are heterogeneous and change with the exchange participants (β=-0.005, p<0.001; β=0.003, p<0.05). Third, rich information exchange supports patients’ self-management and improves their health status (β=0.009, p<0.001; β=0.018, p<0.003).
CONCLUSIONS
This study is among the first that tests the information exchange behavior and consequence for diabetes patients in OHCs and examines the moderating effects of information price. Our present study produces several insights, which have implications for social exchange, patient behavior, online health communities, and information technology in diabetes self-management literature. By understanding the online information exchange behaviors of doctor-patient and patient-patient, we are able to understand how to reach people to receive and deliver diabetes information through these professional OHCs.