The moderating effect of power distance among high-risk groups of stroke on health literacy and self-management behaviors
Description
The sample included 612 outpatient patients from four different community hospitals in the Pudong district of Shanghai. The survey utilized the Stroke Self-Management Behavior Scale (SMB), the Health Literacy Measure for Patients with Chronic Diseases (HeLMES), and the Patients’ Power Distance Scale (PPDS). Using the Johnson-Neyman method and SPSS Process Macro, the moderating effect of power distance and its effective value range were explored. The average score for high-risk stroke individuals HLM was 2.15±0.40, in SMB was 2.24±0.39, and in PPD was 3.34±0.23. Power distance had a significant negative moderating effect on the relationship between health literacy and self-management behavior (b = -0.05, p < 0.001, 95% CI [-0.06, -0.04]). When the power distance score was in the range of 40 to 56.9, health literacy had a positive impact on self-management behavior.
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Steps to reproduce
The sample included 612 outpatient patients from four different community hospitals in the Pudong district of Shanghai. Data was collected through an online questionnaire survey platform and imported into SPSS 22.0 software for statistical analysis. For general demographic information, frequencies and percentages were used for description. Descriptive statistics were presented using means and standard deviations. To analyze the correlation between variables, the Pearson correlation coefficient was used. To verify the importance of the moderation model, we employed the PROCESS macro model 1 developed by Hayes. Additionally, the Johnson–Neyman (J-N) technique [was used to explore interactions. The J-N method is a simple slope test that determines the significance of simple slopes and the range of critical points.
Institutions
- Shanghai East Hospital