RESUMO
Background: We aimed to analyze the prevalence of depression among the global public during COVID-19, identify its influencing factors in order to provide reference, and help safeguard public mental health. Methods: A comprehensive literature on global public depression in various countries during the COVID-19 pandemic was obtained through electronic searches of PubMed, Web of Science, and other databases, combined with literature tracing from Dec 2019 to Mar 2023. Then a meta-analysis was conducted using the random effects model by Stata 16.0. The heterogeneity was evaluated by I2 . Subgroup analysis, sensitivity analysis, and meta-regression analysis were used to explore the sources of heterogeneity and the factors influencing public depression. Egger's test was used to test publication bias. Results: Overall, 68 articles with 234,678 samples were included in the study. Analysis revealed that the overall prevalence of depression among the population during COVID-19 was 32.0% (95% CI: 29.0%-35.0%). Of these, marital status (OR=0.65, 95% CI: 0.47-0.87), presence of infected cases (OR=2.45, 95% CI: 1.82-3.30), and fear of being infected by the virus (OR=9.31, 95% CI: 6.03-14.37) were the main factors influencing people's depression and the main source of heterogeneity. Conclusion: The prevalence of depression among the global public is at a high level during COVID-19. The prevalence of depression among people unmarried, divorced, or widowed, surrounded by infected cases, contact infection cases, and worried about being were higher than others.
RESUMO
Objectives: This study aims to analyze the changes in village clinic doctors' turnover intention following the new health care system reform (NHCSR). Methods: All the data were obtained from three surveys conducted in 2012, 2015, and 2018 in a province in eastern China. Descriptive analysis and analysis of variance (ANOVA) were used to analyze the changes in village clinic doctors' turnover intention. Results: The mean scores of village clinic doctors' turnover intention were 2.87 ± 1.07, 2.76 ± 1.12, and 2.99 ± 1.14 in 2012, 2015, and 2018, respectively, with a significant difference (F = 3.60, P = 0.03). During the 3 years, the turnover intention scores of village clinic doctors who were male, aged 40 years and below, secondary technical school graduates, had the qualifications to practice as village clinic doctors, and were under village-township integrated management first decreased and then increased. The turnover intention scores of village clinic doctors with medical practitioner qualifications increased; however, the scores, decreased for those without village-township integrated management. Conclusion: The turnover intention of village clinic doctors has increased, and the possible reasons for this phenomenon include changes in the demographic characteristics of village clinic doctors and policy factors. The government should pay more attention to the problems that village clinic doctors consider of urgent concern, such as the treatment of income and pension insurance, and provide greater career development and training opportunities for village clinic doctors to maintain their motivation and stability.