Investigating Individuals' Preferences in Determining the Functions of Smartphone Apps for Fighting Pandemics: Best-Worst Scaling Survey Study.

BACKGROUND: Smartphone apps have been beneficial in controlling and preventing the COVID-19 pandemic. However, there is a gap in research surrounding the importance of smartphone app functions from a user's perspective. Although the insights and opinions of different stakeholders, such as policymakers and medical professionals, can influence the success of a public health policy, any strategy will face difficulty in achieving the expected effect if it is not based on a method that users can accept. OBJECTIVE: This study aimed to assess the importance of a hypothetical smartphone app's functions for managing health during a pandemic based on the perspective of user preferences. METHODS: A cross-sectional and web-based survey using the best-worst scaling (BWS) method was used to investigate the general population's preferences for important smartphone app functions. Participants were recruited from a professional surveying company's web-based surveying panel. The attributes of the BWS questionnaire were developed based on a robust process, including literature review, interviews, and expert discussion. A balanced incomplete block design was used to construct the choice task to ensure the effectiveness of the research design. Count analysis, conditional logit model analysis, and mixed logit analysis were used to estimate preference heterogeneity among respondents. RESULTS: The responses of 2153 participants were eligible for analysis. Nearly 55% (1192/2153) were female, and the mean age was 31.4 years. Most participants (1765/2153, 81.9%) had completed tertiary or higher education, and approximately 70% (1523/2153) were urban residents. The 3 most vital functions according to their selection were "surveillance and monitoring of infected cases," "quick self-screening," and "early detection of infected cases." The mixed logit regression model identified significant heterogeneity in preferences among respondents, and stratified analysis showed that some heterogeneities varied in respondents by demographics and COVID-19-related characteristics. Participants who preferred to use the app were more likely to assign a high weight to the preventive functions than those who did not prefer to use it. Conversely, participants who showed lower willingness to use the app tended to indicate a higher preference for supportive functions than those who preferred to use it. CONCLUSIONS: This study ranks the importance of smartphone app features that provide health care services during a pandemic based on the general population's preferences in China. It provides empirical evidence for decision-makers to develop eHealth policies and strategies that address future public health crises from a person-centered care perspective. Continued use of apps and smart investment in digital health can help improve health outcomes and reduce the burden of disease on individuals and communities.

Associations between eHealth literacy, mental health-seeking attitude, and mental wellbeing among young electronic media users in China during the COVID-19 pandemic.

Objective: This study aimed to examine the associations among mental health related eHealth literacy (eHL), mental health-seeking attitude, and wellbeing among Chinese young electronic media users during the COVID-19 pandemic. Methods: A web-based cross-sectional survey was conducted in Guangzhou, China. The modified eHealth literacy Scale, Mental Help-Seeking Attitudes Scale, and Short Warwick-Edinburgh Mental Wellbeing Scale were used. Structural equation modeling (SEM) examined the associations between them and was adjusted by several controlled variables. Results: Totally, 1,008 participants completed the questionnaire and provided valid responses. The eHL showed a statistically significant and direct effect on mental wellbeing in this sample. The higher the level of eHL, the better wellbeing of the participants. The mental health-seeking attitude is also positively correlated with mental wellbeing, indicating that the more positive attitude toward seeking mental health services, the better the wellbeing participants reported. The higher level of eHL is significantly associated with a more positive attitude toward seeking mental health services. Conclusion: Training to improve eHL may optimize young electronic media users' mental health outcomes. Development and use of a mental health specific eHL instrument in future studies should be encouraged.

Moderating Effect of eHealth Literacy on the Associations of Coronaphobia With Loneliness, Irritability, Depression, and Stigma in Chinese Young Adults: Bayesian Structural Equation Model Study.

BACKGROUND: The COVID-19 pandemic has led to an increase in known risk factors for mental health problems. Although medical information available through the internet and smartphones has greatly expanded, people's ability to seek, eschew, and use reliable web-based medical information and services to promote their mental health remains unknown. OBJECTIVE: This study aims to explore the associations between coronaphobia and 4 frequently reported mental health problems, loneliness, irritability, depression, and stigma, during the COVID-19 pandemic and to assess the moderating effects of eHealth literacy (eHL) on the adjustment of these relationships in Chinese young adults. METHODS: The data used in this study were collected from a web-based survey of the general Chinese population, aged between 18 and 30 years, conducted in China between December 2022 and January 2023. A nonprobability snowball sampling method was used for data collection. A Bayesian structural equation model (BSEM) using parameter expansion was used to estimate the moderating effect of eHL on the relationship between coronaphobia and psychological problems. The posterior mean and 95% highest density intervals (HDIs) were estimated. RESULTS: A total of 4119 participants completed the questionnaire and provided valid responses. Among them, 64.4% (n=2653) were female and 58.7% (n=2417) were rural residents. All measures showed statistically significant but minor-to-moderate associations (correlation coefficients ranged from -0.04 to 0.65). Significant heterogeneity was observed between rural and urban residents at the eHL level, and coronaphobia was observed. The BSEM results demonstrated that eHL was a significant moderator in reducing the negative effects of coronaphobia on loneliness (posterior mean -0.0016, 95% HDI -0.0022 to -0.0011), depression (posterior mean -0.006, 95% HDI -0.0079 to -0.004), stigma (posterior mean -0.0052, 95% HDI -0.0068 to -0.0036), and irritability (posterior mean -0.0037, 95% HDI -0.0052 to -0.0022). The moderating effects of eHL varied across the rural and urban subsamples. CONCLUSIONS: Using BSEM, this study demonstrated that improving eHL can significantly mitigate the negative effects of coronaphobia on 4 COVID-19-related mental health problems in Chinese young adults. Future eHL initiatives should target rural communities to ensure equal access to information and resources that can help protect their mental health during the pandemic.

Prevalence and risk factors of COVID-19-related generalized anxiety disorder among the general public in China: a cross-sectional study.

Objective: This study aimed to estimate the prevalence of generalized anxiety disorder in China during the coronavirus disease 2019 (COVID-19) pandemic and identify its associated factors. Methods: A cross-sectional study was conducted among the general population in China from March 16 to April 2, 2020. The participants were recruited using stratified random sampling. Data on demographic characteristics and COVID-19 related factors were obtained using self-administered questionnaires. The anxiety score was measured based on the Chinese version of the Generalized Anxiety Disorder 7-item Scale (GAD-7). Results: The study comprised 10,824 participants, of which 37.69% had symptoms of anxiety. The risk factors for anxiety symptoms included poor self-reported health (OR = 1.672, p < 0.001), chronic diseases (OR = 1.389, p < 0.001), and quarantine (OR = 1.365, p < 0.001), while participants' perceptions that COVID-19 would be controlled was a protective factor (OR = 0.774, p < 0.001). The interactions between quarantine and self-reported health (p < 0.001), as well as between perceptions of COVID-19 and self-reported health (p < 0.001) were found to have a significant effect on GAD-7 scores. Conclusions: Self-reported health status, chronic diseases, quarantine, and perceptions of COVID-19 were significantly associated with GAD-7 scores, indicating that mental health interventions are urgently needed during pandemics, especially for high-risk groups.

Associations among eHealth literacy, social support, individual resilience, and emotional status in primary care providers during the outbreak of the SARS-CoV-2 Delta variant.

Objective: This study aimed to investigate eHealth literacy among primary care providers (PCPs) and explore its association with social support, individual resilience, anxiety, and depression during an outbreak of the SARS-CoV-2 Delta variant in Guangzhou, China. Methods: A cross-sectional web-based survey was conducted in 18 community healthcare centers in Guangzhou, China. The responses of 600 PCPs were tagged as valid responses. Information pertaining to their background, eHealth literacy, anxiety, depression levels, social support, and individual resilience was also collected. Multilevel analysis was used to determine the association among the measures to account for the nested random effect of community health centers in different districts. Results: Participants showed a moderate self-perceived level of eHealth literacy (M = 30, SD = 5.8). Participants who reported higher levels of eHealth literacy were more likely to exhibit lower levels of anxiety and depression, higher social support, and greater resilience. After adjusting for background characteristics, the results of the multilevel logistic analysis showed that eHealth literacy was significantly associated with anxiety and depression, social support, and individual resilience. Younger participants and those who were highly educated reported enhanced eHealth literacy. Conclusions: This study presents a baseline reference for eHealth literacy among Chinese PCPs. Improving their ability to search for and use reliable web-based information was beneficial for facilitating perceived social support and raising resilience during the pandemic. Strategies to provide high-quality web-based information to PCPs to self-assess and identify psychological distress at an early stage should be encouraged.

The relationship between COVID-19-related prevention cognition and healthy lifestyle behaviors among university students: Mediated by e-health literacy and self-efficacy.

BACKGROUND: At present, few studies have explored the mediating effect of e-Health literacy and self-efficacy on prevention cognition and healthy lifestyle behaviors during the normalization stage of COVID-19 prevention and control. This study aimed to determine the associations among COVID-19-related prevention cognition, self-efficacy, e-Health literacy, and healthy lifestyle behaviors at university students. METHODS: By using a stratified cluster random sampling method, 971 students from five universities were recruited between May and August 2021 in Guangzhou, China. We collected participants' demographic characteristics, and assessed self-efficacy, COVID-19-related prevention cognition, e-Health literacy, and healthy lifestyle behaviors. A structural equation model was used for mediation analysis. RESULTS: The overall mean value of healthy lifestyle behaviors of college students was 0.307 (SD 0.389). Between COVID-19-related prevention cognition, e-Health literacy, self-efficacy, and healthy lifestyle behaviors (r = 0.132-0.505, P < 0.01) were a significant positive correlation. The COVID-19-related prevention cognition had a direct and positive predictive effect on healthy lifestyle behaviors, with a direct effect value of 0.136. e-Health literacy and self-efficacy played both an independent mediating and serial-multiple mediating roles in the association between COVID-19-related prevention cognition and healthy lifestyle behaviors, and the indirect effect values were 0.043, 0.020 and 0.035, respectively. CONCLUSIONS: The results showed that the emphasis on improving college students' prevention cognition, supplemented by improving e-Health literacy and self-efficacy, could improve college students' healthy lifestyle behaviors. LIMITATIONS: This study was a cross-sectional investigation with no causal relationship between variables.

Distributive Justice and Turnover Intention Among Medical Staff in Shenzhen, China: The Mediating Effects of Organizational Commitment and Work Engagement.

Background: Turnover of medical staff is a vital issue in the global healthcare system. Previous evidence has confirmed the critical effect of distributive justice on turnover intention, but few studies have focused on the mediating mechanism behind this relationship or the medical staff. This study aimed to examine the mediating roles of organizational commitment and work engagement in the relationship between distributive justice and turnover intention of medical staff, and explore potential occupational differences. Methods: Stratified random sampling was adopted to select qualified medical staff from each clinical department of a large general hospital in Shenzhen, China, at a physician-to-nurse ratio of 1:1.5. The medical staff were surveyed using the Distributive Justice Scale, the Organizational Commitment Scale, the Work Engagement Scale, and the Turnover Intention Scale from May to July 2020. Of the 500 medical staff sampled, 480 responded (response rate: 96.00%), and 457 were finally included for analysis (effective response rate: 95.21%). A mediation analysis was performed using Model 6 of the SPSS macro PROCESS program. Results: There were significant positive correlations among distributive justice, organizational commitment, and work engagement and significant negative correlations among distributive justice, organizational commitment, work engagement, and turnover intention. Distributive justice directly and negatively affected the turnover intention of physicians and nurses, but there were occupational differences in the underlying mechanism between distributive justice and turnover intention. Distributive justice indirectly affected turnover intention among physicians mainly through the mediating effect of organizational commitment, and indirectly among nurses through three different pathways: the mediating effect of organizational commitment, the mediating effect of work engagement, and the chain mediating effect of organizational commitment and work engagement. Conclusion: The relationship between distributive justice and turnover intention was found to be mediated by organizational commitment and work engagement among medical staff in Shenzhen, with variations between physicians and nurses. Thus, appropriately targeted interventions are needed for physicians and nurses to reduce turnover intention.

Spatio-Temporal Distribution and Demographic Characteristics of Congenital Heart Defects in Guangdong, China, 2016-2020.

Background: Congenital heart defects are the most common type of birth defects and bring a heavy disease burden in China. Examining the temporal and spatial trends of congenital heart defects epidemics can give some elementary knowledge for succeeding studies. Objective: To characterize the spatial-temporal patterns of the prevalence of congenital heart defects based on a substantial cohort of the perinatal fetus in south China in 2016-2020. Methods: This study was a retrospective population-based cohort study conducted in Guangdong, China from 2016 to 2020. Pregnant women and their infants received birth defect surveillance during pregnancy and seven days after delivery in more than 1,900 midwifery hospitals in 21 cities. Perinatal infants with congenital heart defects were identified and enrolled. The prevalence of congenital heart defects was calculated according to cities, years, urban and rural areas, regions of Guangdong, categories of maternal age at delivery, seasons of delivery, and infant's gender. Results: A total of 8,653,206 perinatal infants and 53,912 total congenital heart defects were monitored in Guangdong, including 46,716 (86.65%) without other defects and 7,736 (13.35%) with other defects. The average prevalence of total congenital heart defects was 62.30/10,000 (95% CI, 61.78/10,000-62.83/10,000), congenital heart defects without other defects was 53.36/10,000 (95% CI, 52.88/10,000-53.85/10,000), and congenital heart defects with other defects was 8.94/10,000 (95%CI, 8.74/10,000-9.14/10,000). From 2016 to 2020, the prevalence of total congenital heart defects was 54.92/10,000, 54.23/10,000, 63.79/10,000, 73.11/10,000, 68.20/10,000, respectively. We observed geographical variations within the prevalence of congenital heart defects. The prevalence of congenital heart defects was much higher in the Pearl River Delta region than in the non-Pearl River Delta region, as well as higher in urban areas than in rural areas. Conclusion: The findings of this study are helpful to the understanding of the etiology and epidemiology characteristics of congenital heart defects in south China. Our data likely reflect a better estimate of the spatiotemporal trends in congenital heart defects prevalence than reported previously.

Impact of the COVID-19 pandemic on intention to use traditional Chinese medicine: A cross-sectional study based on the theory of planned behavior.

OBJECTIVE: Coronavirus disease 2019 (COVID-19) has become an increasingly severe public health emergency. Although traditional Chinese medicine (TCM) has helped to combat COVID-19, public perception of TCM remains controversial. We used the theory of planned behavior (TPB) to identify factors that affect the intention to use TCM. METHODS: A cross-sectional web-based survey of 10,824 individuals from the general public was conducted between March 16 and April 2, 2020. The participants were recruited using a snowball sampling method. Data were collected using a self-administered questionnaire, based on the TPB. The questionnaire consisted of demographic characteristics and TPB structures. Structural equation modeling was used to identify predictors of intention. RESULTS: The results indicated the model explained 77.5% and 71.9% of intention and attitude variance. Intention to use TCM had the strongest relationship with attitude (P < 0.001), followed by past behavior (P < 0.001), subjective norms (P < 0.001) and perceived behavioral control (P < 0.001). Attitudes toward TCM were significantly affected by perceived behavioral control (P < 0.001), subjective norms (P < 0.001) and cognition of TCM (P < 0.001). CONCLUSION: Attitude is a key factor in determining the intention to use TCM, followed by past behaviors, subjective norms and perceived behavioral control. Our results offer important implications for health policy makers to promote the use of TCM.

The Impact of COVID-19-Related Work Stress on the Mental Health of Primary Healthcare Workers: The Mediating Effects of Social Support and Resilience.

OBJECTIVE: The psychological condition of healthcare workers since the COVID-19 pandemic has attracted the attention of many studies. However, few have reported on psychosocial problems of primary healthcare workers in the COVID-19 pandemic. This study aimed to examine the mediating roles of social support and resilience in COVID-19-related work stress and symptoms of anxiety and depression. METHODS: A total of 840 primary healthcare workers in 17 community health centers in Guangzhou, China, were recruited from May to July 2021. Data on demographic characteristics, COVID-19-related work stress, social support, resilience, anxiety and depression were collected. A structural equation model was used for mediation analysis. RESULTS: More than half of participants reported mild or more severe (at least borderline abnormal) symptoms of anxiety (68.1%) and depression (55.6%). Social support and resilience mediate the association between COVID-19-related work stress and symptoms of anxiety and depression, respectively. Furthermore, the association between work stress and symptoms of anxiety and depression was also mediated by an accumulation of social support and resilience. The indirect effect of COVID-19-related work stress on anxiety and depression through resilience was much greater than other indirect effects. CONCLUSION: Anxiety and depression were prevalent among primary healthcare workers. This study highlights the psychological impact of the COVID-19-related psychosocial work environment on primary healthcare workers. There is an urgent need to improve working conditions for primary healthcare workers in the COVID-19 and to implement intervention strategies aimed at increasing individual resilience alongside the establishment of external supportive work environments.