Background The high prevalence and mortality of coronavirus disease 2019 (COVID-19) have made it the most important health and social challenge around the world. However, this disease can be largely prevented by adherence to hygienic principles and protective behaviors. It seems that identifying the processes involved in protective health behaviors can be effective in planning and implementing suitable interventions to encourage the community toward protective behaviors. Therefore, the present study aimed to predict the preventive behaviors of COVID-19 according to the Protection Motivation Theory (PMT). Methods This cross-sectional study was conducted over 2 months in Hormozgan Province, Iran. The study population consisted of all citizens above the age of 15 years. An online questionnaire was used to collect the data. The questionnaire link was available to the participants through social networks. The questionnaire consisted of two sections, including the demographic information and the PMT constructs. All statistical calculations and hypothesis testing were performed in SPSS Version 21 and AMOS Version 21. The significance level was considered to be 0.05 for hypothesis testing. Results A total of 2032 subjects, with the mean age of 34.84 ± 9.8 years (r = 15–98), participated in this study. Most of the participants were 31–40 years old, female (60.4%), married (72%), urban residents (87.3%), and employed (58.8%). The majority of them also had a bachelor’s degree or higher (58.8%). Significant positive correlations were observed between the preventive behaviors of COVID-19 and the perceived vulnerability (r = 0.192, P < 0.001), perceived severity (r = 0.092, P < 0.001), response efficacy (r = 0.398, P < 0.001), self-efficacy (r = 0.497, P < 0.001), and protection motivation (r = 0.595, P < 0.001). On the other hand, significant negative correlations were found between the preventive behaviors of COVID-19 and maladaptive behavior rewards (r = − 0.243, P < 0.001) and perceived costs (r = − 0.121, P < 0.001). Conclusion The present findings showed that maladaptive behavior reward and fear negatively predicted the protective behaviors. On the other hand, response efficacy and self-efficacy positively predicted the protective behaviors; the impact of self-efficacy was the strongest. Overall, the information provided in this study can contribute to health policymaking in Iran.

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Background Vaccination against Covid 19 disease was based on rational practice theory. One of the most effective methods to control the COVID-19 pandemic is extensive vaccination coverage in the shortest time. The relevant beliefs and predictors of COVID-19 vaccine and the barriers to and facilitators of receiving COVID-19 vaccine should be identified. Individuals’ intention to receive COVID-19 and the effective factors are of an utmost importance. This study aimed to predict intention to receive COVID-19 vaccine in the South of Iran. Methods This cross-sectional study was performed over a period of 2 months (May 2021 to July 2021) in 4 southern provinces in Iran. The study population of this study included people over 18 years of age who did not receive the COVID-19 vaccine. The online questionnaire was used to collect data. We recruited participants through a self-selection sampling method and posted the online survey link. The questionnaire had two parts: demographic information and Theory of Reasoned Action (TRA) questions. All statistical calculations and hypotheses tests were performed using SPSS21 and Amos21 software and the significance level was considered 0.05. Results A total number of 2556 people participated in this study with a mean age of 37.76 (10.7) of years (Age Range = 18–75). The findings showed that attitudes and subjective norms and the use of social media predict the intention to receive COVID-19 vaccine. SEM showed that attitude (β = 0.596, P < 0.001), subjective norms (β = 0.265, P < 0.001) were significant predictors of vaccination intention. In this study, 78% of people were willing to receive the vaccine when they were officially allowed to. Conclusion According to the results of the study, it is suggested to strengthen positive attitudes and subjective norms about the importance of COVID-19 vaccination as well as using social media to inform the community in order increase the intention to vaccinate COVID-19 and increase vaccine coverage.

Background: The present research aimed to predict the preventive behaviors of COVID-19 in the light of the Protection Motivation Theory (PMT).Methods: The present cross-sectional research was conducted in 2 months (March 2020-April 2020) in Hormozgan Province of Iran. The research population comprised all residents above 15 years of age. They received an online questionnaire survey in two parts, demographic information along with PMT constructs. To analyze the data, independent t-test and one-way anova test, Multiple linear regression and the statistical technique of path analysis and structural equation modeling was used. All statistical calculations and hypothesis testing were performed using spss21 and Amos21 software and a significant level of hypothesis testing was considered to be 0.05Results: A total number of 2,032 subjects participated in this research, the mean age of whom was 34.84±9.8 (R=15-98). The majority of participants were between 31 - 40 years old, female (60.4%), married (72%), urban residents (87.3%), holding a Bachelor’s degree or higher (58.8%) and employed (58.8%). Statistically significant positive correlation coefficients were estimated between preventive behaviors of COVID-19 and perceived vulnerability (r=0.192, p<0.001), perceived severity (r=0.092, p<0.001), response efficacy (r=0.398, p<0.001) ,self efficacy (r=0.497, p<0.001) and protection motivation (r=0.595, p<0.001). Statistically significant negative correlations were found between behavior and maladaptive behavior rewards (r=-0.243, p<0.001) and perceived costs (r=-0.121, p<0.001).Conclusions: The present findings showed that maladaptive behavior reward and fear predicted protective behaviors negatively; response efficacy and self-efficacy predicted protective behaviors positively. The effect of self-efficacy was the strongest among all. The information provided in this research can contribute to policy-making in the country.

This study employs the combined technology acceptance model (TAM) and theory of planned behavior (TPB) (i.e., C-TAM-TPB) that extended with self-efficacy and knowledge of information technology to examine HIS acceptance by Malaysian nurses. A cross-sectional survey was conducted in three public hospitals in Malaysia to gather data from practicing nurses with experience of using HIS. Structural equation modeling using the partial least squares (PLS) method was utilized to evaluate measurements and structural models. The results stress that a nurses intention was significantly influenced by three factors, including his or her attitude, the subjective norm, and perceived behavioral control. The results also indicate that the model can explain over half of the variance in the intention to use HIS.