PurposeWe aimed to assess the current status of depressive symptoms and quality of life (QoL) among rural elderly in central China (Anhui Province) and explore their correlation and associated factors for depressive symptoms.MethodsA multi-stage random sampling method was used to obtain 3349 participants (aged ≥60): 1206 poor and 2143 non-poor. The 30-item Geriatric Depression Scale (GDS-30) and five-dimensional European quality of health scale (EQ-5D) were employed to evaluate depressive symptoms and QoL, respectively.ResultsThe prevalence of depressive symptoms was 52.9%, and that in the poor group (62.3%) was significantly higher than the non-poor group (47.6%). The GDS-30 score was 12.40 ± 7.089, and the poor group scored significantly higher (14.045 ± 6.929) than the non-poor group (11.472 ± 7.011). The EQ-5D score was 0.713 ± 0.186, and the poor group (0.668 ± 0.192) scored significantly lower than the non-poor group (0.738 ± 0.178). There was a significant negative correlation between depressive symptoms and QoL (r = −0.400, P-value <0.05). The following factors were associated with depressive symptoms: poverty, low EQ-5D score, female gender, older age, illiteracy, unemployed, chronic diseases, and hospitalization in previous year.ConclusionRural elderly in central China have a high prevalence of depressive symptoms and low QoL. Poverty was associated with a higher prevalence of depressive symptoms and lower QoL.

Background The shortage of primary medical staff is an important issue in the management of health human resources, and it is also a problem that all countries in the world need to face together. Since 2009, China has implemented a new series of medical system reforms and the shortage and loss of primary medical staff have been alleviated accordingly. However, China has a large population and it is difficult to distribute health human resources evenly across regions. This study aimed to explore the current status of turnover intention and its relationship with psychological capital, social support, and job burnout, as well as how these factors influence turnover intention of primary medical staff in Anhui province, China. Methods Using structured questionnaires to collect data, including demographic characteristics, turnover intention, psychological capital, social support, and Chinese Maslach Burnout Inventory scale. A total of 1152 primary medical workers of Anhui were investigated. Data were analyzed by t-test, analysis of variance (ANOVA), Pearson correlation analysis, and multiple linear regression model. Results Total scores of turnover intention, psychological capital, social support, and job burnout of subjects were 14.15 ± 4.35, 100.09 ± 15.98, 64.93 ± 13.23 and 41.07 ± 9.437, respectively. Multiple linear regression showed the related factors of turnover intention were age, job position, work unit, and scores of job burnout. Pearson correlation showed psychological capital and social support were negatively correlated with turnover intention, while the score of job burnout was positively correlated with turnover intention. Conclusion The improvement of psychological capital and social support and the reduction of job burnout may play an important role in reducing turnover intention of primary medical staff. Primary medical managers should strengthen the humanistic care for primary medical staff, optimize the incentive mechanism, and improve internal management of medical institutions for stability.

This study is to explore the quality of life (QoL) of the rural poor elderly in central China (Anhui province) and the influencing factors. A multi-stage random sampling method was used to extract 3352 effective samples of the rural elderly in Anhui, including 1206 poor and 2146 non-poor elderly subjects. Euro QoL 5-dimension questionnaire (EQ-5D) was used for the measurement of QoL. Descriptive statistics and χ 2 test were used to compare and analyze the sociodemographic characteristics and QoL scores between poor and non-poor elderly. Multiple linear regression was used to assess the influencing factors of QoL. There were significant differences in gender, age, education levels, professions, chronic diseases, physical discomfort within 2 weeks, hospitalization within 1 year, economic sources, and migrant workers between the rural poor and non-poor elderly groups. The QoL of rural poor elderly scored significantly higher than the non-poor elderly, in all these five dimensions. The average EuroQol Visual Analogue Scale (EQ-VAS) of poor elderly was 65.689, lower than the non-poor elderly (71.039). After controlling the confounding factors, there was a significant statistical difference in the total utility score of EQ-5D between the poor and non-poor elderly groups. The QoL of poor elderly in central China is lower than non-poor elderly, with the worst dimension of pain/discomfort. The QoL of rural poor elderly in this area could be affected by many factors, to which more attention should be paid.

Background: The shortage of primary medical staff is a major problem in the management of health human resources across many developing countries. By determining their preferences for various motivational and related factors, we examined the correlation between staff's motivation preference levels and staff turnover and turnover intention. This study aimed to further improve the incentive mechanism and to provide a reference for healthcare managers to formulate management strategies for the primary medical staff team.Methods: A self-reported questionnaire survey was conducted to collect data. The basic survey content included demographic characteristics. The absolute level questionnaire and relative level questionnaire on the factors affecting motivation preference were used as the main assessment scales. A total of 1,112 primary health workers in Anhui Province were investigated. T-test, analysis of variance (ANOVA), exploratory factor analysis, and multiple linear regression analysis were performed to analyze the data.Results: The survey respondents (45.1%) reported being satisfied with their relationship with colleagues, and other social relationships (46.9%). The Kaiser Meyer Olkin (KMO) value for the absolute preference degree for motivational factors was 0.951. Two factors (economic and non-economic factors), after using the maximum variance rotation axis method, explained 81.25% of the total variance. The regression analysis showed that primary medical staff members with low monthly income (B = −0.157) have a higher preference for non-economic factors; the higher the educational background (B = 0.133), the higher their preference for economic factors. In addition, with the increase in participants' age (B = −0.250), the preference for motivational factors gradually decreased.Conclusion: Both economic and non-economic factors play an important role in enhancing the enthusiasm of primary medical workers and improving their work attitude. Managers should use their influence to stabilize the primary medical staff.