The development and validation of the health belief model questionnaire for measuring factors affecting adherence in the elderly with hypertension

Sustaining Quality of Life with Education-Based Treatment for Hypertension Patients During COVID-19 Adaptation

Purpose: Determine the impact of education-based treatment on sustaining quality of life during COVID-19 adaptation. Designs: A randomized, 2-group, structured, holistic education-based intervention within eight weeks in preserving total quality of life (QoL) for hypertension patients with conventional care. Methods: Utilizing randomized controlled trials, 380 patients with hypertension are separated into two groups and evaluated. The patients are separated into two groups totaling 190 individuals each group. The intervention group is treated with a holistic education-based intervention. After two months, the EQ-5D-5L is used to evaluate the quality of life. Findings: The QoL pretest for the intervention group revealed that 25 (13.2%) patients had good QoL (Score = 1), while the QoL posttest revealed that the number of patients with good QoL had grown to 48 (25.3%). Using Kolmogorov-Smirnov for data analysis yielded non-normally distributed data. The p-value for the Wilcoxon signed ranks test is .001. Conclusions: The intervention group is better equipped to deal with COVID-19 and has a higher quality of life. Education-based hypertension treatment can sustain a high quality of life.

Psychometric properties of the Chinese version of the Hypertension Belief Assessment Tool

BACKGROUND

Hypertension is prevalent in China. Hypertensive patients suffer from many health problems in life. Hypertension is a common chronic disease with long-term and lifelong characteristics. In the long run, the existence of chronic diseases will affect the patient's own health beliefs. However, people's health beliefs about Hypertension are not explicit. Therefore, it is vital to find a suitable instrument to comprehend and improve the health beliefs of hypertensive patients, thus, better control of blood pressure and improvement of patient's quality of life are now crucial issues. This study aimed to translate the Hypertension Belief Assessment Tool (HBAT) into Chinese and examine the psychometric properties of the Chinese version of the Hypertension Belief Assessment Tool in hypertensive patients.

METHODS

This is a cross-sectional study. We translated the HBAT into Chinese and tested the reliability and validity of the Chinese version among 325 hypertensive patients.

RESULTS

The Chinese version of the scale contains 21 items. The Exploratory Factor Analysis (EFA) revealed six factors and explained 77.898% of the total variation. A six-factor model eventually showed acceptable fit indices in the Confirmatory Factor Analysis (CFA). With modified Confirmatory Factor Analysis, the fit indices were Chi-square/Degree of Freedom (CMIN/DF) = 2.491, Comparative Fit Index (CFI) = 0.952, Incremental Fit Index (IFI) = 0.952, Root-mean-square Error of Approximation (RMSEA) = 0.068, Tucker Lewis Index (TLI) = 0.941. The HBAT exhibits high internal consistency reliability (0.803), and the scale has good discriminant validity.

CONCLUSION

The results suggest that the HBAT is a reliable and valid instrument for assessing the beliefs of Chinese hypertensive patients.

The Chain Mediating Effect of the Public's Online Health Information-Seeking Behavior on Doctor-Patient Interaction

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.