COVID-19 risk perception and public compliance with preventive measures: Evidence from a multi-wave household survey in the MENA region

How perceived risk of recurrence strengthens health management awareness in stroke patients: the chain mediating role of risk fear and health literacy

Background

Prior research has found that perceived risk in stroke patients motivates health behaviors in visitors. However, the role that perceived risk of recurrence in stroke patients plays in reinforcing health management awareness during the motivation phase is unclear.

Objective

This study explores this issue by examining the effects of risk fear and health literacy on health management awareness due to perceived risk of recurrence in stroke patients.

Methods

We validated the effect of perceived risk of recurrence on health management awareness and its internal mechanism by constructing a structural equation model and including 763 stroke patients, extending the relevant literature and application of the Healthy Behavior Procedural Approach (HAPA) model.

Result

The results suggest that perceived risk of recurrence in stroke patients can effectively reinforce and improve health management awareness, with risk fear and health literacy having a chain-mediated role in this group relationship.

Conclusion

This study reveals the differential effects of perceived risk of recurrence, risk fear, and health literacy in stroke patients on health management awareness at the individual level, providing valuable guidance for healthcare practitioners and families to improve patients' health outcomes and health well-being.

Predicting COVID-19 vaccine uptake: Comparing the health belief model and theory of planned behavior

The COVID-19 outbreak has had a significant impact on the global health landscape, underscoring the crucial role that vaccinations play in achieving herd immunity and reducing the effects of pandemics. Given the importance of this issue, it is imperative to gain a deeper understanding of the various factors that influence individuals' decisions to seek vaccination. This study aimed to compare the prediction level of the Health Belief Model (HBM), the Theory of Planned Behavior (TPB), and a combined model in explaining the intention of adults to receive COVID-19 immunization. A cross-sectional online survey was conducted among adults (n = 505) in Saudi Arabia. The survey contained variables related to the HBM and TPB. The prediction level of the two models as well as a combined model were evaluated utilizing Structural Equation Modeling (SEM). Among the recruited 505 participants, 88% fell within the 18 to 30 age range, and 54.5% were male. The proposed HBM model accounted for 68% of the variation in intention, whereas the TPB model explained 78.2% of the variation in COVID-19 vaccination intention. The combined model showed greater explanatory power (82%). The variables of susceptibility (β = 0.20, p < .001), severity (β = 0.49, p < .001), advantages (β = 0.63, p < .001), and obstacles (β = - 0.24, p < .001), perceptions of behavioral control (β = 1.58, p < .001) and attitudes (β = 0.44, p < .001) were found to significantly predict increased vaccination intentions in the combined model. However, the subjective norm construct did not significantly predict vaccination intentions (β = 0.06, p = .34). The TPB has greater explanatory power than the HBM in predicting the intention to obtain COVID-19 vaccination. However, the combined model showed a greater prediction level. Understanding and identifying people's perceived health beliefs and practices is critical for developing successful COVID-19 intervention methods.

Determinants of Intention to Uptake COVID-19 Vaccination Among Saudi Adults: Application of the Health Belief Model

Introduction

The pandemic caused by COVID-19 has had a profound effect on global health. Due to its potential impact on the efficacy of pandemic control measures, vaccine hesitancy (VH) in relation to COVID-19 has emerged as a significant concern. The attainment of herd immunity is contingent on the rate of COVID-19 vaccine adoption. Despite this, there have been reports of reluctance toward the COVID-19 vaccine. This study seeks to investigate the effect of constructs that influence adults' intentions to receive COVID-19 vaccination using the Health Belief Model (HBM).

Methods

A cross-sectional study was conducted by recruiting Saudi Arabian adults as participants. Using Structural Equation Modeling (SEM), the proposed HBM model was evaluated. A total of 505 individuals replied to the survey.

Results

The suggested HBM model explained 68% of the variation in intention to get COVID-19 immunization. I found all HBM variables namely perceived susceptibility, greater levels of perceived behavioral control, severity, benefits, and barriers to be significant predictors of vaccination intentions. Among demographic variables, only married status had a significant relationship with the intention to obtain COVID-19 immunization.

Discussion

The findings of this study indicate that the HBM can be utilized effectively to obtain insight into the factors that influence COVID-19 prevention measure adherence. Understanding and recognizing individuals' perceived health beliefs and practices is essential for the development of effective COVID-19 intervention strategies.

Assessing the perceived effect of non-pharmaceutical interventions on SARS-Cov-2 transmission risk: an experimental study in Europe

We conduct a large (N = 6567) online experiment to measure the features of non-pharmaceutical interventions (NPIs) that citizens of six European countries perceive to lower the risk of transmission of SARS-Cov-2 the most. We collected data in Bulgaria (n = 1069), France (n = 1108), Poland (n = 1104), Italy (n = 1087), Spain (n = 1102) and Sweden (n = 1097). Based on the features of the most widely adopted public health guidelines to reduce SARS-Cov-2 transmission (mask wearing vs not, outdoor vs indoor contact, short vs 90 min meetings, few vs many people present, and physical distancing of 1 or 2 m), we conducted a discrete choice experiment (DCE) to estimate the public's perceived risk of SARS-CoV-2 transmission in scenarios that presented mutually exclusive constellations of these features. Our findings indicate that participants' perception of transmission risk was most influenced by the NPI attributes of mask-wearing and outdoor meetings and the least by NPI attributes that focus on physical distancing, meeting duration, and meeting size. Differentiating by country, gender, age, cognitive style (reflective or intuitive), and perceived freight of COVID-19 moreover allowed us to identify important differences between subgroups. Our findings highlight the importance of improving health policy communication and citizens' health literacy about the design of NPIs and the transmission risk of SARS-Cov-2 and potentially future viruses.