Dataset Information

Privacy Protection in Online Health Communities: Natural Experimental Empirical Study.

ABSTRACT: BACKGROUND:An online health community (OHC) is a novel sharing channel through which doctors share professional health care knowledge with patients. While doctors have the authority to protect their patients' privacy in OHCs, we have limited information on how doctors' privacy protection choices affect their professional health care knowledge sharing with patients. OBJECTIVE:We examined the relationship between privacy protection and professional health care knowledge sharing in OHCs. Specifically, we examined the effects of privacy protection settings in an OHC on doctors' interactive professional health care knowledge sharing and searching professional health care knowledge sharing (two dimensions of professional health care knowledge sharing). Moreover, we explored how such effects differ across different levels of disease stigma. METHODS:We collected the monthly panel data of 19,456 doctors from Good Doctor, one of the largest OHCs in China, from January 2008 to April 2016. A natural experimental empirical study with difference-in-difference analysis was conducted to test our hypotheses. The time fixed effect and the individual fixed effect were both considered to better identify the effects of a privacy protection setting on professional health care knowledge sharing. Additionally, a cross-sectional analysis was performed for a robust check. RESULTS:The results indicate that the privacy protection setting has a significant positive effect on interactive professional health care knowledge sharing (?=.123, P<.001). However, the privacy protection setting has a significant negative effect on searching professional health care knowledge sharing (?=-.225, P=.05). Moreover, we found that high disease stigma positively impacts the effect of privacy protection on interactive professional health care knowledge sharing (coefficients are in the same valence) and negatively impacts the effects of privacy protection on searching professional health care knowledge sharing (coefficients are in the reverse valence). CONCLUSIONS:Privacy protection has a bilateral effect on professional health care knowledge sharing (ie, a positive effect on interactive professional health care knowledge sharing and a negative effect on searching professional health care knowledge sharing). Such bilateral switches of professional health care knowledge sharing call for a balanced state in conjunction with practical implications. This research also identifies a moderate effect of disease stigma on privacy protection settings and professional health care knowledge sharing.

SUBMITTER: Dang Y

PROVIDER: S-EPMC7273234 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Privacy Protection in Online Health Communities: Natural Experimental Empirical Study.

Dang Yuanyuan Y Guo Shanshan S Guo Xitong X Vogel Doug D

Journal of medical Internet research 20200521 5

<h4>Background</h4>An online health community (OHC) is a novel sharing channel through which doctors share professional health care knowledge with patients. While doctors have the authority to protect their patients' privacy in OHCs, we have limited information on how doctors' privacy protection choices affect their professional health care knowledge sharing with patients.<h4>Objective</h4>We examined the relationship between privacy protection and professional health care knowledge sharing in O ...[more]

PMID: 32436851

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Project description:BackgroundThe role of online health communities (OHCs) in patient empowerment is growing and has been increasingly studied in recent years. Research has focused primarily on individualistic conception of patients' empowerment, with much less attention paid to the role of OHCs in the development of patients' collective empowerment. Although OHCs have immense potential for empowerment that goes beyond the individual, the concept and scale of collective empowerment in OHCs have not yet been developed or validated.ObjectiveThis study aimed to develop an instrument for measuring collective empowerment in online health communities (CE-OHC) and to test its quality by investigating its factorial structure, reliability, construct validity, and predictive validity.MethodsThe CE-OHC scale was developed according to a strict methodology for developing valid and reliable scales. An initial set of 20 items was first tested in the pilot study conducted in 2016 using a sample of 280 registered users of Slovenia's largest OHC. A refined version with 11 items was tested in the main study conducted in 2018 on a random sample of 30,000 registered users of the same OHC. The final sample comprised 784 users. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to investigate the factorial structure, discriminant validity, and convergent validity of the scale. Cronbach alpha coefficient was used to determine the CE-OHC scale's internal consistency. To establish the predictive validity, ordinary least squares regression was performed to test the role of CE-OHC in users' civic participation.ResultsThe EFA resulted in a two-factor solution, and the two factors-knowledge of resources and resource mobilization for collective action-together explain 63.8% of the variance. The second-order CFA demonstrated a good fit to the data (root mean square error of approximation=0.07) and the scale had a good internal consistency (alpha=.86). Although evidence of the scale's convergent validity was partially provided, discriminant validity of the scale remained unconfirmed. Overall, CE-OHC was confirmed to be a predictor of users' civic participation, but the influence was somewhat weak and inconsistent across two subscales.ConclusionsThe proposed CE-OHC scale is a reliable and relatively valid instrument and serves as a good baseline to advance the measurement of collective empowerment in OHC contexts. This is the first scale developed for this purpose, and future research should focus on the development of a clear nomological network of the collective empowerment construct in relation to the OHC settings.

Project description:BACKGROUND:Rewarding health knowledge and health service contributors with money is one possible approach for the sustainable provision of health knowledge and health services in online health communities (OHCs); however, the reasons why consumers voluntarily reward free health knowledge and health service contributors are still underinvestigated. OBJECTIVE:This study aimed to address the abovementioned gap by exploring the factors influencing consumers' voluntary rewarding behaviors (VRBs) toward contributors of free health services in OHCs. METHODS:On the basis of prior studies and the cognitive-experiential self-theory (CEST), we incorporated two health service content-related variables (ie, informational support and emotional support) and two interpersonal factors (ie, social norm compliance and social interaction) and built a proposed model. We crawled a dataset from a Chinese OHC for mental health, coded it, extracted nine variables, and tested the model with a negative binomial model. RESULTS:The data sample included 2148 health-related questions and 12,133 answers. The empirical results indicated that the effects of informational support (?=.168; P<.001), emotional support (?=.463; P<.001), social norm compliance (?=.510; P<.001), and social interaction (?=.281; P<.001) were significant. The moderating effects of social interaction on informational support (?=.032; P=.02) and emotional support (?=-.086; P<.001) were significant. The moderating effect of social interaction on social norm compliance (?=.014; P=.38) was insignificant. CONCLUSIONS:Informational support, emotional support, social norm compliance, and social interaction positively influence consumers to voluntarily reward free online health service contributors. Social interaction enhances the effect of informational support but weakens the effect of emotional support. This study contributes to the literature on knowledge sharing in OHCs by exploring the factors influencing consumers' VRBs toward free online health service contributors and contributes to the CEST literature by verifying that the effects of experiential and rational systems on individual behaviors can vary while external factors change.

Dataset Information

Privacy Protection in Online Health Communities: Natural Experimental Empirical Study.

Publications

Privacy Protection in Online Health Communities: Natural Experimental Empirical Study.

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