TY - JOUR
T1 - The effect of doctor-consumer interaction on social media on consumers' health behaviors
T2 - Cross-sectional study
AU - Wu, Tailai
AU - Deng, Zhaohua
AU - Feng, Zhanchun
AU - Gaskin, Darrell J.
AU - Zhang, Donglan
AU - Wang, Ruoxi
N1 - Funding Information:
This work was partially supported by grants from the National Natural Science Foundation of China (No 71671073 and No 71673098) and China Postdoctoral Science Foundation (No 2017M622468). The authors would like to thank Prof Bernadette Mazurek Melnyk for her generous sharing of the scales of health behaviors and others.
Publisher Copyright:
© 2018 Journal of Medical Internet Research. All rights reserved.
PY - 2018
Y1 - 2018
N2 - Background: Both doctors and consumers have engaged in using social media for health purposes. Social media has changed traditional one-to-one communication between doctors and patients to many-to-many communication between doctors and consumers. However, little is known about the effect of doctor-consumer interaction on consumers' health behaviors. Objective: The aim of this study was to investigate how doctor-consumer interaction in social media affects consumers' health behaviors. Methods: On the basis of professional-client interaction theory and social cognitive theory, we propose that doctor-consumer interaction can be divided into instrumental interaction and affective interaction. These two types of interactions influence consumers' health behaviors through declarative knowledge (DK), self-efficacy (SE), and outcome expectancy (OE). To validate our proposed research model, we employed the survey method and developed corresponding measurement instruments for constructs in our research model. A total of 352 valid answers were collected, and partial least square was performed to analyze the data. Results: Instrumental doctor-consumer interaction was found to influence consumers' DK (t294=5.763, P<.001), SE (t294=4.891, P<.001), and OE (t294=7.554, P<.001) significantly, whereas affective doctor-consumer interaction also impacted consumers' DK (t294=4.025, P<.001), SE (t294=4.775, P<.001), and OE (t294=4.855, P<.001). Meanwhile, consumers' DK (t294=3.838, P<.001), SE (t294=3.824, P<.001), and OE (t294=2.985, P<.01) all significantly affected consumers' health behaviors. Our mediation analysis showed that consumers' DK, SE, and OE partially mediated the effect of instrumental interaction on health behaviors, whereas the three mediators fully mediated the effect of affective interaction on health behaviors. Conclusions: Compared with many intentional intervention programs, doctor-consumer interaction can be treated as a natural cost-effective intervention to promote consumers' health behaviors. Meanwhile, both instrumental and affective interaction should be highlighted for the best interaction results. DK, SE, and OE are working mechanisms of doctor-consumer interaction.
AB - Background: Both doctors and consumers have engaged in using social media for health purposes. Social media has changed traditional one-to-one communication between doctors and patients to many-to-many communication between doctors and consumers. However, little is known about the effect of doctor-consumer interaction on consumers' health behaviors. Objective: The aim of this study was to investigate how doctor-consumer interaction in social media affects consumers' health behaviors. Methods: On the basis of professional-client interaction theory and social cognitive theory, we propose that doctor-consumer interaction can be divided into instrumental interaction and affective interaction. These two types of interactions influence consumers' health behaviors through declarative knowledge (DK), self-efficacy (SE), and outcome expectancy (OE). To validate our proposed research model, we employed the survey method and developed corresponding measurement instruments for constructs in our research model. A total of 352 valid answers were collected, and partial least square was performed to analyze the data. Results: Instrumental doctor-consumer interaction was found to influence consumers' DK (t294=5.763, P<.001), SE (t294=4.891, P<.001), and OE (t294=7.554, P<.001) significantly, whereas affective doctor-consumer interaction also impacted consumers' DK (t294=4.025, P<.001), SE (t294=4.775, P<.001), and OE (t294=4.855, P<.001). Meanwhile, consumers' DK (t294=3.838, P<.001), SE (t294=3.824, P<.001), and OE (t294=2.985, P<.01) all significantly affected consumers' health behaviors. Our mediation analysis showed that consumers' DK, SE, and OE partially mediated the effect of instrumental interaction on health behaviors, whereas the three mediators fully mediated the effect of affective interaction on health behaviors. Conclusions: Compared with many intentional intervention programs, doctor-consumer interaction can be treated as a natural cost-effective intervention to promote consumers' health behaviors. Meanwhile, both instrumental and affective interaction should be highlighted for the best interaction results. DK, SE, and OE are working mechanisms of doctor-consumer interaction.
KW - Health behavior
KW - Medical informatics
KW - Physician patient relationships
KW - Psychological theory
KW - Social media
KW - Social theory
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U2 - 10.2196/jmir.9003
DO - 10.2196/jmir.9003
M3 - Article
C2 - 29490892
AN - SCOPUS:85056550729
SN - 1439-4456
VL - 20
JO - Journal of medical Internet research
JF - Journal of medical Internet research
IS - 2
M1 - e73
ER -