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Understanding online review behaviors of patients in online health communities: an expectation-disconfirmation perspective

Qin Chen (School of Economics and Management, University of Science and Technology Beijing, Beijing, China)
Jiahua Jin (School of Economics and Management, University of Science and Technology Beijing, Beijing, China)
Xiangbin Yan (School of Economics and Management, University of Science and Technology Beijing, Beijing, China)

Information Technology & People

ISSN: 0959-3845

Article publication date: 3 December 2021

Issue publication date: 7 December 2022

1101

Abstract

Purpose

Although online health communities (OHCs) and online patient reviews can help to eliminate health information asymmetry and improve patients' health management, how patients write online reviews within OHCs is poorly understood. Thus, it is very necessary to determine the factors influencing patients' online review behavior in OHCs, including the emotional response and reviewing effort.

Design/methodology/approach

Based on expectation-disconfirmation theory, this study proposes a theoretical model to analyze the effects of service quality perception (i.e. outcome quality and process quality perceptions) and disconfirmation (i.e. outcome quality and process quality disconfirmations) on patients' emotional response and reviewing effort. The authors test the research model by using empirical data collected from a popular Chinese OHC and applying ordinary least squares (OLS) regression and zero-truncated negative binomial (ZTNB) regression models.

Findings

Both service quality perception and disconfirmation have a positive effect on patients' positive emotional intensity in textual reviews, and disease severity enhances these relationships of process quality. Moreover, there is an asymmetric U-shaped relationship among service quality perception, disconfirmation and reviewing effort. Patients who perceive low service quality have higher reviewing effort, while service quality disconfirmation has the opposite relationship. Specifically, patients' effort in writing textual reviews is lowest when perceived outcome quality is 3.5 (on a five-point scale), perceived process quality is 4 or outcome quality and process quality disconfirmations are −1.

Originality/value

This study is the first to examine patients' online review behavior and its motivations and contributes to the literature on online reviews and service quality. In addition, the findings of this study have important management implications for service providers and OHC managers.

Keywords

Acknowledgements

Funding: This research is supported by the Natural Science Foundation of China (Grant No. 72025101, 71729001, 71601100), and the Fundamental Research Funds for the Central Universities (Grant No. FRF-TP-20-01C2, FRF-TP-20-045A2).

Citation

Chen, Q., Jin, J. and Yan, X. (2022), "Understanding online review behaviors of patients in online health communities: an expectation-disconfirmation perspective", Information Technology & People, Vol. 35 No. 7, pp. 2441-2469. https://doi.org/10.1108/ITP-04-2021-0290

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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