| Literature DB >> 35432074 |
Siyue Li1, Kexin Wang1.
Abstract
Patients increasingly share online health information with their physicians. However, few studies have investigated factors that may facilitate or inhibit such sharing and subsequent impact on physician-patient relationship. This study conducted a cross-sectional survey among 818 Chinese patients to examine if two patient characteristics -communication apprehension and eHealth literacy- influence their ways of sharing online health information with physicians and subsequently impact physician-patient relationship. The results showed that a majority of surveyed participants searched health information online, and about half of them used such information during their doctor visits. Less apprehensive patients tend to share the information with their physicians more directly, which can positively affect perceived physician reactions and patient satisfaction. eHealth literacy, however, is not found to be associated with patients' sharing of online information with physicians. This study underscores the importance of identifying patient characteristic's role in patient-physician interaction.Entities:
Keywords: communication apprehension; eHealth literacy; online health information sharing; patient satisfaction; physician patient communication
Year: 2022 PMID: 35432074 PMCID: PMC9005643 DOI: 10.3389/fpsyg.2022.839723
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Schematic overview of the theoretical model and study hypotheses.
Sample characteristics.
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| Female, n (%) | 474 (57.9) |
| Male | 344 (42.1) |
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| 18–25 y | 213 (26.0) |
| 26–35 y | 446 (54.5) |
| 36–45 y | 121 (14.8) |
| 46–55 y | 31 (3.8) |
| >=56 y | 2 (0.2) |
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| Less than a high school diploma | 1 (0.1) |
| High school degree | 22 (2.7) |
| Associate degree | 99 (12.1) |
| Bachelor’s degree | 614 (75.1) |
| Master’s and doctorate degree | 82 (10.0) |
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| |
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| 818 |
Mean, standard deviation, and zero-order correlations (N = 818).
| Variable | M | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| 1. Communication apprehension | 2.18 | 0.77 | – | |||||||
| 2. Online health literacy | 3.87 | 0.55 | −0.28 | – | ||||||
| 3. DOHISP | 2.40 | 1.00 | −0.10 | 0.06 | – | |||||
| 4. Perceived physicians’ reactions | 3.55 | 0.75 | −0.32 | 0.30 | 0.15 | – | ||||
| 5. Patient satisfaction | 3.75 | 0.54 | −0.28 | 0.28 | 0.11 | 0.54 | – | |||
| 6. Sex | – | – | 0.09 | −0.11 | –0.03 | –0.02 | 0.00 | – | ||
| 7. Age | 30.26 | 7.02 | −0.16 | 0.21 | –0.03 | –0.03 | 0.06 | −0.08 | – | |
| 8. Education level | 5.92 | 0.58 | –0.04 | 0.03 | –0.01 | –0.00 | –0.01 | 0.04 | −0.09 | – |
| 9. Health status | 3.34 | 0.74 | −0.14 | 0.09 | 0.03 | 0.12 | 0.18 | –0.01 | –0.05 | 0.10 |
DOHISP, Directness of online health information sharing with physicians. *p < 0.05; **p < 0.01; ***p < 0.001.
FIGURE 2The results for serial multiple mediation model with communication apprehension. Analyses are based on 5,000 bootstrap samples, controlling for sex, age, education level, and health status. Path coefficients are unstandardized coefficient. → significant paths; ⇢ non-significant paths. Indirect effect (a1b1b2): effect size = −0.004, Boot SE = 002, 95% CI [−0.009, −0.001]. Indirect effect (a1b3): effect size = −0.002, Boot SE = 003, 95% CI [−0.009, 0.002]. Indirect effect (a2b2): effect size = −0.105, Boot SE = 016, 95% CI [−0.137, −0.074]. **p < 0.01; ***p < 0.001.