Investigating the Adoption of Precautionary Behaviors Among Young Rural Adults in South Iran During COVID-19

Investigating the effect of multimedia education based on the health belief model in preventing COVID-19 in pregnant women

BACKGROUND

Pregnant women are considered one of the high-risk groups during the COVID-19 pandemic, so paying attention to preventive behaviors among them is highly important. This study aimed to examine the effect of multimedia education based on the Health Belief Model (HBM) in preventing COVID-19 among pregnant women.

METHODS

This quasi-experimental intervention study was conducted on 120 pregnant women referring to Comprehensive Health Services Centers affiliated with East and West health centres of Ahvaz city, Iran, in 2021. Participants were divided into two control (n = 60) and intervention (n = 60) groups. A researcher-made questionnaire was used for data collection. The intervention group was given the required educational content using social networks virtually and multimedia in 12 sessions. Both groups were reinvestigated after two months. Data were analyzed using SPSS software version 24, independent t-test and paired t-test tests.

RESULTS

The mean age and mean gestational age of participants were estimated at 28 years old and 18 weeks, respectively. Before the educational intervention, there was no significant difference in mean constructs of HBM. In contrast, the mean of all constructs increased significantly in the intervention group after intervention. The greatest change was related to the constructs of self-efficacy and perceived susceptibility, and the lowest change was related to the perceived barriers construct.

CONCLUSION

Our findings suggest multimedia education using the HBM to COVID-19 preventive behaviors among pregnant women can benefit behavior change.

A study on blood donor characteristics and preferred environment of South Koreans during the COVID-19 pandemic: A conjoint analysis

Objective

The COVID-19 pandemic has caused a decrease in the number of blood donors worldwide, posing a global problem. Therefore, this study investigates people who have continuously participated in blood donation during the COVID-19 pandemic and collects basic information as a reference for maintaining stable amounts of blood during future pandemics.

Methods

The participants of this study were selected from the population of South Korea through stratified sampling considering region and age distributions. Owing to the COVID-19 pandemic, the participants were recruited online through Embrain, an online research and survey company, from June 1 to June 28, 2021. Data were collected from a total of 1,043 participants and used in the study.

Results

The results of this study showed that there was a difference between the donors group and non-donors group in factors such as donation attitude (F = 73.342, p < 0.001), donation knowledge (F = 6.530, p < 0.01), and preventive health behavior (F = 12.352, p < 0.001). Overall, blood donors showed favorable attitude toward and considerable knowledge of blood donation as well as a high level of preventive health behavior. The environment most preferred by people who participated in blood donation during the COVID-19 pandemic was “going with family to a blood donation center that gives out free gifts in a region far away with no confirmed cases,” which showed the highest utility (utility = 0.734).

Conclusion

Even during pandemics, donation attitude, donation knowledge, and preventive health behavior can serve as key factors affecting participation in blood donation. Additionally, blood donation centers that donors can visit with their families represent a favorable environment for the promotion of blood donation during pandemics.

Application of behavioral change theory and models on COVID-19 preventive behaviors, worldwide: A systematic review

Objective:

This systematic review aimed to assess the global application of behavioral change theory and models on COVID-19 preventive behaviors.

Methods:

This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses procedure. Databases such as PubMed/MIDLINE, Web of Science, Scopus, EMB ASE, World Health Organization libraries, and Google Scholar were used to search all published articles in the area of application of behavioral change theory and model on COVID-19 preventive behavior until October 1, 2022. Studies published in another language other than English were excluded. Two independent reviewers did the article selection and quality check. A third reviewer asked if any disagreement were found.

Result:

Seventeen thousand four hundred thirty-six total articles were retrieved from all sources after the removal of duplicated articles and those not evaluating the outcome of interest were excluded. Finally, 82 articles done using behavioral change theory and model on COVID-19 preventive behaviors were included. The health belief model (HBM) and theory of planned behavior (TPB) were most commonly used in COVID-19 preventive behaviors. The constructs of most behavioral theories and models were significantly associated with COVID-19 preventive behaviors such as hand washing, face mask use, vaccine uptake, social isolation, self-quarantine, social distance, and use of sanitizers.

Conclusion:

This systematic review summarizes comprehensive evidence on the application of behavioral change theory and model on COVID-19 preventive behaviors globally. A total of seven behavioral change theories and models were included. The HBM and TPBs were most commonly used for COVID-19 preventive behaviors. Therefore, the application of behavioral change theory and models is recommended for developing behavioral change interventional strategies.

Employing the TAM in predicting the use of online learning during and beyond the COVID-19 pandemic

Online learning systems have become an applied solution for delivering educational content, especially in developing countries, since the start of the COVID-19 pandemic. The present study is designed to identify the factors influencing the behavioral intention of agricultural students at universities in Iran to use online learning systems in the future. This research uses an extended model in which the constructs of Internet self-efficacy, Internet anxiety, and output quality are integrated into the technology acceptance model (TAM). Data analysis was performed using the SmartPLS technique. The analyses showed the proposed model to be strong in terms of predicting the attitude to online learning and the intention to use it. The extended TAM model fit the data well and predicted 74% of the intention variance. Our findings show attitude and perceived usefulness to have directly affected intention. Output quality and Internet self-efficacy indirectly affected attitude and intention. Research findings can help with the design of educational policies and programs to facilitate education and improve student academic performance.

The health belief model's ability to predict COVID-19 preventive behavior: A systematic review

Objective

The health belief model specifies that individuals' perceptions about particular behavior can predict the performance of respective behavior. So far, the model has been used to explain why people did not follow COVID-19 preventive behavior. Although we are using it, to our best knowledge, its predictive ability in COVID-19 preventive behavior is unexplored. So, this review aimed to assess the model's predictive ability and identify the most frequently related construct.

Method

A systematic review was conducted to examine the predictive ability of health belief model in COVID-19 preventive behavior using research done all over the world. Preferred reporting items for systematic review and meta-analysis guidelines were used. Comprehensive literature was searched using databases such as PubMed, Google scholar, and African Online Journal to retrieve related articles. Descriptive analyses such as the proportion of studies that better explained COVID-19 prevention behavior and the significance ratio of each construct of the model were made.

Result

Overall, 1552 articles were retrieved using a search strategy and finally 32 articles fulfilling the inclusion criteria undergo the review. We found that in the majority (87.5%) of the studies health belief model has a good predictive ability of COVID-19-related behavior. Overall the explained variance for health belief model ranged from 6.5% to 90.1%. The perceived benefit was the most frequently significant predictor; highest significance ratio (96.7%) followed by self-efficacy, cues to action perceived barrier, susceptibility, and severity in decreasing order.

Conclusion

Health belief model has a good predictive ability of COVID-19-related behavior in the majority of reviewed studies. The perceived benefit was the most frequently significant predictor of COVID-19-related behavior. Professionals who are in need can effectively use health belief model in planning and designing interventions to prevent and control the pandemic.