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The Chain Mediating Effect of the Public's Online Health Information-Seeking Behavior on Doctor-Patient Interaction.
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- Author(s): Luo A;Luo A;Luo A;Luo A;Luo A; Yu Z; Yu Z; Yu Z; Yu Z; Liu F; Liu F; Liu F; Liu F; Xie W; Xie W; Xie W; Xie W
- Source:
Frontiers in public health [Front Public Health] 2022 Jun 02; Vol. 10, pp. 874495. Date of Electronic Publication: 2022 Jun 02 (Print Publication: 2022).- Publication Type:
Journal Article; Research Support, Non-U.S. Gov't- Language:
English - Source:
- Additional Information
- Source: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
- Publication Information: Original Publication: Lausanne : Frontiers Editorial Office
- Subject Terms:
- Abstract: Objective: This paper aims to explore the influence mechanisms of online health information-seeking behavior (OHISB) on doctor-patient interactions from a psychological perspective, using theory as a guide, which can effectively guide the mode of doctor-patient interaction after search behavior in China.
Methods: We conducted a convenient web-based survey among members of the public who engage in searching behavior in China using a pretested structured questionnaire. Structural equation modeling was performed for path analysis and mediating effect testing.
Results: The findings of the study show that (1) 4 control variables (education level, occupation, income, and diagnosed disease) had significant differences in online health information-seeking behavior; 7 control variables (age, gender, living area, education level, occupation, income, medical insurance) were significantly different in doctor-patient interaction behaviors. (2) perceived disease severity (95% CI: 0.003, 0.04, P < 0.001), perceived action benefits (95% CI: 0.059, 0.138, P < 0.001), and e-health literacy (95% CI: 0.061, 0.155, P < 0.001) were positive predictors between OHISB and doctor-patient interactions. (2) E-health literacy and perceived disease severity (95% CI: 0.001, 0.013, P < 0.05), and e-health literacy and perceived action benefits (95% CI: 0.082, 0.166, P < 0.001) play chain mediating roles between OHISB and doctor-patient interactions.
Conclusions: E-health literacy, perceived disease severity, and perceived action benefits act as chain mediators between OHISB and doctor-patient interactions.
Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2022 Luo, Yu, Liu and Xie.) - References: Proc Natl Acad Sci U S A. 2019 Nov 26;116(48):23930-23935. (PMID: 31712415)
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- Publication Date: Date Created: 20220620 Date Completed: 20220621 Latest Revision: 20220805
- Publication Date: 20240105
- Accession Number: PMC9201044
- Accession Number: 10.3389/fpubh.2022.874495
- Accession Number: 35719674
- Source:
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