Willingness to Use Mobile Health Devices in the Post-COVID-19 Era: Nationwide Cross-sectional Study in China.

BACKGROUND: Despite the increased development and use of mobile health (mHealth) devices during the COVID-19 pandemic, there is little knowledge of willingness of the Chinese people to use mHealth devices and the key factors associated with their use in the post-COVID-19 era. Therefore, a more comprehensive and multiangle investigation is required. OBJECTIVE: We aimed to probe Chinese attitudes regarding the use of mHealth and analyze possible associations between the attitude of willingness to use mHealth devices and some factors based on the socioecological model. METHODS: A survey was conducted using quota sampling to recruit participants from 148 cities in China between June 20 and August 31, 2022. Data from the survey were analyzed using multiple stepwise regression to examine the factors associated with willingness to use mHealth devices. Standardized regression coefficients (ß) and 95% CIs were calculated using multiple stepwise regression. RESULTS: The survey contained a collection of 21,916 questionnaires and 21,897 were valid questionnaires, with a 99.91% effective response rate. The median score of willingness to use mHealth in the post-COVID-19 era was 70 points on a scale from 0 to 100. Multiple stepwise regression results showed that the female gender (ß=.03, 95% CI 1.04-2.35), openness personality trait (ß=.05, 95% CI 0.53-0.96), higher household per capita monthly income (ß=.03, 95% CI 0.77-2.24), and commercial and multiple insurance (ß=.04, 95% CI 1.77-3.47) were factors associated with the willingness to use mHealth devices. In addition, people with high scores of health literacy (ß=.13, 95% CI 0.53-0.68), self-reported health rating (ß=.22, 95% CI 0.24-0.27), social support (ß=.08, 95% CI 0.40-0.61), family health (ß=.03, 95% CI 0.03-0.16), neighbor relations (ß=.12, 95% CI 2.09-2.63), and family social status (ß=.07, 95% CI 1.19-1.69) were more likely to use mHealth devices. CONCLUSIONS: On the basis of the theoretical framework of socioecological model, this study identified factors specifically associated with willingness of the Chinese people to use mHealth devices in the post-COVID-19 era. These findings provide reference information for the research, development, promotion, and application of future mHealth devices.

The impact of vaccine hesitation on the intentions to get COVID-19 vaccines: The use of the health belief model and the theory of planned behavior model.

Object: During the later period of the COVID-19 pandemic, the public has been at risk of the evolving COVID-19 variants and hesitated to be vaccinated against COVID-19 to a certain extent. In this context, the health belief model (HBM) and the theory of planned behavior model (TPB) were used to compare and summarize the relationship between vaccine hesitation/non-hesitation and the intentions to get COVID-19 vaccines and its influencing factors. Methods: The cross-sectional, population-based online survey was conducted from 14 April to 30 April 2021, and 1757 respondents were recruited to participate in the survey through the Wenjuanxing online survey platform. The HBM and TPB covariate scores were expressed using means and standard deviations and compared between groups using t-tests. Backward multiple linear regression models were used to explore the factors influencing the public's intentions to receive the COVID-19 vaccines. Results: This study found that educational background is one of the factors influencing vaccine hesitation. Most people with high education do not hesitate (65.24%), while a more significant proportion of people with low education have vaccine hesitation (66.00%). According to HBM, for the vaccine hesitation group, self-efficacy, family advice, and doctor's advice were the most critical factors affecting the public's future vaccination intentions; for the vaccine non-hesitation group, self-efficacy, doctor's advice, and perceived benefits are the most important influencing factors. According to the TPB, the subjective norm is the most critical factor affecting the future vaccination intention of the vaccine hesitation group, and the attitude toward behavior is the most critical factor affecting the future vaccination intention of the vaccine non-hesitation group. Conclusions: In the context of COVID-19, the public's hesitation on the "current" vaccines will still affect future vaccination intentions. Using HBM and TPB would help health policymakers and healthcare providers formulate intervention plans.

Influence factors analysis of COVID-19 Prevention behavior of chinese Citizens: a path analysis based on the hypothetical model.

BACKGROUND: Under the outbreak of Coronavirus disease 2019 (COVID-19), a structural equation model was established to determine the causality of important factors that affect Chinese citizens' COVID-19 prevention behavior. METHODS: The survey in Qingdao covered several communities in 10 districts and used the method of cluster random sampling. The research instrument used in this study is a self-compiled Chinese version of the questionnaire. Of the 1215 questionnaires, 1188 were included in our analysis. We use the rank sum test, which is a non-parametric test, to test the influence of citizens'basic sociodemographic variables on prevention behavior, and the rank correlation test to analyze the influencing factors of prevention behavior. IBM AMOS 24.0 was used for path analysis, including estimating regression coefficients and evaluating the statistical fits of the structural model, to further explore the causal relationships between variables. RESULTS: The result showed that the score in the prevention behavior of all citizens is a median of 5 and a quartile spacing of 0.31. The final structural equation model showed that the external support for fighting the epidemic, the demand level of health information, the cognition of (COVID-19) and the negative emotions after the outbreak had direct effects on the COVID-19 prevention behavior, and that negative emotions and information needs served as mediating variables. CONCLUSIONS: The study provided a basis for relevant departments to further adopt epidemic prevention and control strategies.

Personality Effects on Chinese Public Preference for the COVID-19 Vaccination: Discrete Choice Experiment and Latent Profile Analysis Study.

Objective: This study aims to investigate the differences in public vaccination preference for the COVID-19 vaccine with different personality characteristics. Methods: Based on the Big Five Personality Inventory (BFI-10), a total of 1200 respondents were categorized by personality characteristics using Latent Profile Analysis (LPA). The preference of members the public with different personality characteristics for COVID-19 vaccination was investigated based on a discrete choice experiment (DCE). Results: All respondents were divided into three groups, named the General and Stable type (79.67%), Conscientious and Agreeable type (9.5%), and Open and Extroverted type (10.83%). For the percentage importance of vaccine attributes, both the General and Stable type and Conscientious and Agreeable type respondents considered cost to be the most important (41.93% and 34.95% respectively). However, the Open and Extroverted type respondents considered efficacy as the most important (31.05%). In our conditional logit model (CLOGIT), for vaccine adverse effects, the General and Stable type and Conscientious and Agreeable type respondents preferred "very mild", while the Open and Extroverted type preferred "mild" (OR:1.108, 95%CI 0.977-1.256). The Open and Extroverted type had a higher willingness to pay (WTP) for the most preferred vaccine level compared to the other types. Conclusions: The Open and Extroverted respondents have the highest willingness to vaccinate. The General and Stable type and Conscientious and Agreeable respondents think that the cost of the vaccine is the most important attribute, and prefer the mildest side effects. The Open and Extroverted type think that vaccine efficacy is the most important attribute, prefer "mild" side effects, and have higher willingness to pay for their favorite vaccine level.

Analysis of the Impact of Media Trust on the Public's Motivation to Receive Future Vaccinations for COVID-19 Based on Protection Motivation Theory.

Object: Media trust is one of the essential factors affecting health behavior. Based on the protection motivation theory (PMT), this study explores the impact of different public media trust (traditional media, social media, interpersonal communication) on future COVID-19 vaccine motivation. Methods: The online survey was conducted from 14 April to 30 April 2021, and 2098 adults were recruited to participate in the online survey through the Wenjuanxing online survey platform. The survey included the PMT constructs (threat appraisal, coping appraisal, and motivation for future COVID-19 vaccination), trust in different media, vaccine hesitation reasons, and implementation of other non-pharmaceutical interventions. Structural equation model (SEM) was used for latent variable analysis, and Spearman linear correlation coefficient matrix was used to explore the relationships between variables. Results: In terms of trust in different media, participants who had a higher education level (p = 0.038), who was married (p = 0.002), and who had not been vaccinated against COVID-19 during the survey (p = 0.002) show greater trust in traditional media. Participants who were married (p = 0.001), who had a relatively high income (p = 0.020), and who had not been vaccinated (p = 0.044) show greater trust in social media. Older participants (p < 0.001) and married (p < 0.001) showed greater trust in interpersonal communication. In the structural equation, trust in traditional media had a direct positive impact on perceived severity (ß = 0.172, p < 0.001) and a direct negative impact on internal rewards (ß = -0.061, p < 0.05). Trust in both traditional and social media separately had a direct positive impact on self-efficacy (ß = 0.327, p < 0.001; ß = 0.138, p < 0.001) and response efficiency (ß = 0.250, p < 0.001; ß = 0.097, p < 0.05) and a direct negative impact on response costs (ß = -0.329, p < 0.001; ß = -0.114, p < 0.001). Trust in interpersonal communication had a direct positive impact on external rewards (ß = 0.186, p < 0.001) and response costs (ß = 0.091, p < 0.001). Overall, traditional media trust had an indirect positive influence on vaccine motivation (ß = 0.311), social media trust had an indirect positive influence on vaccine motivation (ß = 0.110), and interpersonal communication had an indirect negative influence on vaccine motivation (ß = -0.022). Conclusion: This study supports the use of PMT as an intermediate variable to explore the effect of media trust on vaccination intention. High trust in traditional media has helped reduce vaccine hesitation, increased the public's future COVID-19 vaccination motivation, and maintained other non-pharmacological interventions. Social media also had a certain promotion effect on vaccine motivation. In this context, attention should also be paid to interpersonal communication, and the science publicity work was suggested for an individual's family members and friends in the future to improve the quality and ability of interpersonal communication.