BackgroundPrimary healthcare professionals were overworked and psychologically overwhelmed during the COVID-19 pandemic. Resilience is an important shield for individuals to cope with psychological stress and improve performance in crises. This study aims to explore the association of individual resilience with organizational resilience, perceived social support and job performance among healthcare professionals in township health centers of China during the COVID-19 pandemic.MethodsData from 1,266 questionnaires were collected through a cross-sectional survey conducted in December 2021 in Shandong Province, China. Descriptive analysis of individual resilience, organizational resilience, perceived social support, and job performance was conducted. Pearson correlation analysis was used to examine the correlations among these variables, and structural equation modeling was performed to verify the relationships between these variables.ResultsThe score of individual resilience was 101.67 ± 14.29, ranging from 24 to 120. Organizational resilience (β = 0.409, p < 0.01) and perceived social support (β = 0.410, p < 0.01) had significant direct effects on individual resilience. Individual resilience (β = 0.709, p < 0.01) had a significant direct effect on job performance. Organizational resilience (β = 0.290, p < 0.01) and perceived social support (β = 0.291, p < 0.01) had significant indirect effects on job performance.ConclusionDuring the COVID-19 pandemic, the individual resilience of healthcare professionals in township health centers was at a moderate level. Organizational resilience and perceived social support positively affected individual resilience, and individual resilience positively affected job performance. Furthermore, individual resilience mediated the effect of organizational resilience and perceived social support on job performance. It is recommended that multiple stakeholders work together to improve the individual resilience of primary healthcare professionals.

Background Village doctors in China are not only the gatekeepers of rural residents' health but also the net bottom of the medical security system. However, emotional labour is increasingly threatening the stability of the rural primary medical system. In addition, the ongoing coronavirus disease 2019 (COVID-19) pandemic has further exposed the vulnerability of human resources in China's rural health system. This study aims to evaluate the current situation of emotional labour among village doctors and explore the impact of emotional labour on job burnout during the COVID-19 pandemic in China. Methods A cross-sectional survey was conducted in December 2021 in Shandong Province. We used structured questionnaires to collect data, including sociodemographic characteristics, emotional labour, and job burnout. Data were analysed by t test, analysis of variance (ANOVA), Pearson correlation analysis, and hierarchical multiple linear regression. Results A total of 1,093 village doctors from Shandong Province participated in the study. More than half of the participants were male (62.40%) and were between 41 and 50 years old (53.43%). The total mean score of emotional labour was 3.17 ± 0.67, of which the surface acting (SA) score was 2.28 ± 0.90, and the deep acting (DA) score was 3.91 ± 0.93. There were significant differences in SA according to gender and work content (P < 0.05) and in DA according to gender, age, education level, and work content (P < 0.05). Pearson correlation analysis showed that SA was positively correlated with job burnout (P < 0.001), and DA was negatively correlated with job burnout (P < 0.001). Hierarchical multiple linear regression analysis revealed that 29% of the variance in job burnout is attributable to SA (β = 0.530, P < 0.001) and DA (β = -0.154, P < 0.001). Conclusion Village doctors in Shandong Province performed moderate levels of emotional labour during the COVID-19 pandemic. SA had a significant positive effect on job burnout, while DA had a significant negative effect on job burnout among village doctors. Administrators should enhance training on emotional labour for village doctors to play a positive role in alleviating their job burnout.

Background Population migration in China has increasingly included middle-aged and older populations. Relatedly, the lack of mental health education among China’s older migrants is still an important but neglected problem. This study aimed to understand the current situation of mental health education received by the older migrant population in China and to explore related influencing factors. Methods This cross-sectional study included 5729 older migrants who participated in the 2017 China Migrants Dynamic Survey. The independent variables included four components: demographic and socioeconomic characteristics, migration factors, public health service utilization, and social integration factors. Data were analyzed using the chi-square test for single factors and a binary logistic regression model for multiple factors. Results A total of 1749 older migrants received mental health education, for a receipt rate of 30.53%. Regression analysis showed that older migrant individuals who had an average monthly household income > 3000 CNY, self-rated their health as healthy, had chronic diseases, had heard of National Basic Public Health Services, had established health records, received ≥2 types of health education were willing to integrate into the local population, and were highly involved in the community were more likely to receive mental health education. Older migrants who were ≥ 70 years old, had an elementary school education or below, had difficulties in the local community, had migrated ≥11 years prior, moved for their offspring, and moved across provinces were less likely to receive mental health education. Conclusions The older migrant population does not receive sufficient mental health education. Mental health interventions should be tailored to the characteristics of older migrants to increase their mental health literacy and meet their psychological needs.

Background Population mobility in China has increasingly included the middle-aged and elderly populations. Relatedly, the lack of mental health education among China's elderly migrant population is still an important but neglected problem. This study aims to understand the current situation of mental health education received by the elderly migrant population in China and to explore the related influencing factors. Methods This cross-sectional study included 5,729 elderly migrants who participated in the 2017 China Migrants Dynamic Survey. The covariates included four components: demographic and socioeconomic characteristics, mobility factors, public health service utilization, and social integration factors. Data were analyzed using the chi-square test for single factors and a binary logistic regression model for multiple factors. Results A total of 1672 elderly migrants received mental health education, for an acceptance rate of 29.2%. Educational methods included promotional materials (paper, film, and television), bulletin boards/electronic displays, public health consultations, health-related lectures, individualized face-to-face consultations and community SMS/WeChat/websites, which had been accessed by 90.1%, 80.2%, 70.0%, 67.5%, 48.8%, and 39.4% of the sample, respectively. Regression analysis showed that the older migrant population who had an average monthly household income > 3000 CNY, self-rated their health as healthy, had chronic diseases, had heard of National Basic Public Health Services, had established health records, were willing to integrate into the local population, and were highly involved in the community were more likely to receive mental health education. Older migrants who were ≥ 70 years old, had an elementary school education or below, had difficulties in the local community, migrated ≥ 11 years prior, moved for their offspring, and moved across provinces were less likely to receive mental health education. Conclusions The elderly migrant population does not accept mental health education well, and the means of obtaining educational assistance are relatively limited. Mental health interventions should be tailored to the characteristics of the migrant elderly population to increase mental health literacy and meet their psychological needs.