Search

Abstract Background Cognitive impairment is a common health problem among older adults. Previous studies have proven the association between sleep quality and cognitive impairment, but the specific underlying mechanisms need to be further explored. This study aimed to examine the relationship between sleep quality and cognitive impairment and the mediating effect of frailty in this relationship among the rural older adults. Methods Data from a cross-sectional study conducted in rural areas of Shandong Province from September to December in 2023. A total of 695 rural older adults were included. The Pittsburgh Sleep Quality Index (PSQI) was used to measure sleep quality. Frailty was defined using the FRAIL scale. We assessed cognitive impairment using the Dementia Screening Interview (AD8). Logistic regression analyse was used to assess the relationship between sleep quality and cognitive impairment. And the Karlson-Holm-Breen (KHB) method was performed to test the mediating role of frailty in this relationship. Results After adjusting for all covariates, sleep quality was significantly associated with cognitive impairment (OR = 1.047, 95% CI: 1.005—1.090). Frailty mediated the relationship between sleep quality and cognitive impairment, with a mediation effect value of 0.010 (95% CI: 0.001—0.020), accounting for 17.86% of the total effect. Conclusions We found there was an association between sleep quality and cognitive impairment, and frailty mediated the above relationship. Comprehensive intervention measures should be taken to reduce the incidence of frailty in the older adults and to improve their sleep quality, thereby preventing and delaying the occurrence and development of cognitive impairment.

Abstract Background Village clinic doctors are an integral part of the rural healthcare workforce. With the advancement of science and technology and the coronavirus disease 2019 (COVID-19) pandemic, the prevalence of remote work and the use of information and communication technologies (ICT) have increased significantly. However, these developments have also had an impact on the work family balance and mental well-being of village clinic doctors. The study aimed to explore how work-family conflict affected job burnout and what the role of ICT use was in this relationship. Methods This was a cross-sectional study. Data were collected collected through an anonymous self-administered questionnaire survey conducted in December 2021 in Shandong Province, China. A total of 1,093 village clinic doctors participated in the survey. The data were analyzed using multiple linear regression and the PROCESS macro in SPSS. Results The results showed that an inverted U-shaped relationship between work-family conflict and job burnout among village clinic doctors. Specifically, the squared term of work-family conflict had a negative coefficient (-0.324). The slope was positive (SL=2.291) at the low end of the X-range and negative (SH=-0.379) at the high end. The turning point occurred at X = 1.227(-2.309 ≤ X ≤ 1.812). Additionally, ICT use positively moderated between work-family conflict and job burnout (β1β4-β2β3 = 0.217, β4 > 0). Conclusions The work-family conflict has an inverted U-shaped effect on job burnout, while the use of ICT positively moderates this relationship between work-family conflict and job burnout. Policymakers should pay attention to the effects of ICT use and work-family conflict on job burnout among village clinic doctors.

Abstract Background The Great Famine in China from 1959 to 1961 is recognized as one of the most severe social and public health disasters of the 20th century, with profound long-term impacts on the health of survivors, particularly on their mental health. Early-life malnutrition and psychological trauma are considered to contribute to a range of health issues in adulthood, including depression. Objective This study aims to explore how the experience of the Chinese Great Famine from 1959 to 1961 affects the risk of depressive symptoms among the elderly. Using a mechanism analysis, the study investigates the roles of social support, socioeconomic status, and intergenerational support in this process. Methods Using micro-level individual data from the China Health and Retirement Longitudinal Survey (CHARLS), combined with province-level excess mortality data, this study employs a cohort-based difference-in-differences model to identify the causal effects of the famine experience on depression levels among the elderly. Results The study reveals that experiencing the Great Famine significantly increases the risk of depression among the elderly. This effect is more pronounced among rural residents, those who experienced the famine during adolescence, and in regions less influenced by Confucian culture. The mechanism analysis indicates that diminished social support, lower socioeconomic status, and insufficient intergenerational support are the primary pathways through which the famine experience influences depression levels in the elderly. Conclusions The experience of the Great Famine has exerted a long-term and profound impact on the mental health of the elderly in China, particularly in terms of depression. The findings provide new perspectives on understanding the long-term effects of major historical events on health and offer important empirical evidence for the development of mental health intervention policies for the elderly.

Abstract Background Improving patients’ experience, enhancing patients’ trust and improving the willingness to see a doctor are the key to the real implementation of the “gatekeeper” role of residents’ health in township health centers. At present, in the field of health management, the research on the relationship between the three is relatively limited. The purpose of this study is to explore the current situation of patients’ experience, patients’ trust and willingness to see a doctor in township health centers, and further explore the relationship between the three, so as to provide a theoretical basis for improving the overall service and management quality of township health centers. Methods In this study, a cross-sectional survey was conducted in Shandong Province, China from July to October 2020. We used a structured questionnaire to collect data, which included general information, medical information, patient experience, patient trust, and willingness to see a doctor. Patient experience, patient trust, and willingness to see a doctor were evaluated using the Likert 5-point scoring method, with a maximum score of 5. The higher the score, the better the patient experience, the greater the patient trust, and the stronger the willingness to see a doctor. SPSS21.0 was used to describe the current situation, test the reliability and validity, and analyze the Pearson correlation. AMOS23.0 was used for structural equation modeling. Results The score of willingness to see a doctor was 3.84 ± 0.62. The score of patient experience was 3.81 ± 0.47, and the score of patient trust was 3.81 ± 0.60, which was a lower score compared to other studies in the same period. Both patient experience and patient trust both had a directly positive impact on the willingness to see a doctor, and the impact coefficients were 0.19 and 0.68, respectively. Patient experience has a direct positive impact on patient trust, with an impact coefficient of 0.74. Patient trust played a partial mediating role in the relationship between patient experience and willingness to see a doctor, and the impact coefficient was 0.50. Conclusions If the reform of China’s healthcare system is to realize the goal of “not leaving the countryside for minor illnesses and not leaving the county for serious illnesses” increasing the willingness of patients to see a doctor at the grass-roots level primary hospitals is key. In addition, the government should vigorously promote the construction of township health centers and stimulate the vitality of grass-roots health institutions. If primary hospitals want to “catch” the demand of patients, they must improve patient experience and enhance patient trust.

Abstract Background The mismatch of medical resources is a significant issue in global healthcare, undermining both service accessibility and system efficiency. In China, despite the implementation of the “Healthy China” strategy, persistent mismatches remain due to factors such as industrialization, urbanization, and population aging. This study empirically evaluates the impact of Public Hospital Reform (PHR) on mitigating these mismatches. Methods A Difference-in-Differences (DD) approach is applied to panel data from 300 cities spanning 2010 to 2021, using the phased implementation of PHR as a quasi-natural experiment. This allows for a comparative analysis of changes in resource allocation between cities that adopted the reform and those that did not. Quantile regression assesses the effects of PHR across varying levels of resource mismatch, while mechanism tests investigate how PHR influences mismatches through cost reduction and supply expansion. Results PHR is found to reduce medical resource mismatches by 13.9%, primarily driven by cost reductions and increased resource supply. The effects are more pronounced at both lower and higher levels of mismatch, with a limited impact at mid-levels. Furthermore, the reform’s effectiveness diminishes as it is extended to more cities, suggesting a potential saturation effect. Conclusions This study demonstrates that PHR significantly alleviates medical resource mismatches in China. The findings underscore the need to focus on cost control and resource supply in future healthcare reforms, providing key insights for policymakers in developing countries facing similar healthcare resource challenges.

Objective To analyse the rational prescription of medicines by village clinics following China’s implementation of the New Healthcare System Reform (NHCSR).Design Retrospective study.Setting Village clinics in a province in eastern China.Primary and secondary outcome measures Our evaluation was based on the core drug use indicators reported in the study ‘How to Investigate Drug Use in Health Facilities: Selected Drug Use Indicators’.Results The level of rational use of medicines (RUMs) in village clinics improved in 2018 compared with 2009; the average number of drugs per prescription decreased from 3.66 to 2.77, the percentage of prescriptions including antibiotics decreased from 65.40% to 46.00%, and the percentage of prescriptions including injections decreased from 55.75% to 37.48% (all p

BackgroundMultiple Chronic Diseases (MCD) are the co-occurrence of two or more chronic conditions within an individual. Compared to patients with a single chronic disease, those with MCD face challenges related to polypharmacy, which increases the risk of adverse drug events, side effects, and drug–drug interactions. Understanding the specific medication preferences of patients with MCD is crucial to optimize treatment plans and enhance treatment safety.ObjectiveThis study aims to evaluate the medication preferences among patients with multiple chronic diseases in rural areas of an eastern province of China.MethodsA discrete choice experiment (DCE) was used to measure patients’ medication preferences. According to literature research, expert panel discussions, and in-depth patient interviews, we identified six attributes: monthly out-of-pocket cost, onset speed of action, adverse effects, whether it is covered by health insurance, origin of medications, and types of medications. The conditional logit models (CLM) and mixed logit models (MIXL) were used to evaluate the choice data. Willingness to pay (WTP) was used to reflect the monetary value that patients were willing to pay or receive reimbursement after changes in different attribute levels.ResultsA total of 956 respondents were included in the analysis. Of which, 68.62% were female, with an average age of 68 years, and 65.89% had a Body Mass Index (BMI) greater than or equal to 24. Statistical significance was observed for all attributes (p

Abstract Background Village doctors are the main health service providers in China’s rural areas. Compared with other rural groups, they will have a sense of relative deprivation, which has an impact on their practice mentality and job stability. This study aims to analyze the changes and causes of relative deprivation among village doctors, so as to improve the stability of them. Methods The data were collected from two surveys conducted in Shandong Province in 2015 and 2021. In 2015, 322 village doctors were surveyed and 307 questionnaires were collected, with a recovery rate of 95.3%. In 2021, 394 village doctors were surveyed and 366 questionnaires were collected, with a recovery rate of 92.9%. Descriptive and univariate analysis were used to compare the changes before and after the survey. Results The scores of vertical deprivation of village doctors increased from 2.77 ± 0.81 in 2015 to 3.04 ± 0.83 in 2021, with a statistically significant difference (P

IntroductionCoronavirus disease 2019 occurred unexpectedly in late December 2019, it was difficult to immediately develop an effective vaccine or propose targeted medical interventions in the early stages of the outbreak. At this point, non-pharmaceutical interventions (NPIs) are essential components of the public health response to COVID-19. How to combine different NPIs in the early stages of an outbreak to control the spread of epidemics and ensure that the policy combination does not incur high socio-economic costs became the focus of this study.MethodsWe mainly used the fuzzy set qualitative comparative analysis to assess the impact of different combinations of NPIs on the effectiveness of control in the COVID-19 pandemic early stage, using open datasets containing case numbers, country populations and policy responses.ResultsWe showed that the configuration of high morbidity results includes one, which is the combination of non-strict face covering, social isolation and travel restrictions. The configuration of non-high morbidity results includes three, one is strict mask wearing measures, which alone constitute sufficient conditions for interpreting the results; the second is strict testing and contact tracing, social isolation; the third is strict testing and contact tracing, travel restriction. The results of the robustness test showed that the number, components and consistency of the configurations have not changed after changing the minimum case frequency, which proved that the analysis results are reliable.ConclusionIn the early stages of the epidemic, the causes of high morbidity are not symmetrical with the causes of non-high morbidity. Strict face covering is the most basic measure required to prevent and control epidemics, and the combination of non-strict face covering and containment is the most important factor leading to poor prevention and control, and the combination of strict containment and proactive pursuit is the way to achieve superior prevention and control, timely and proactive containment strategies have better prevention and control, and should mobilize the public to cooperate.

Objective To understand the impact of chronic disease comorbidity on healthcare institution-seeking behavior of elderly people in China, and to provide a theoretical basis for optimizing healthcare order and enhancing the management capacity of primary care for chronic diseases. MethodsThe data on 4 508 elderly people aged ≥ 60 years in 25 provincial-level administrative divisions across China were collected from the China Family Panel Studies (CFPS) conducted in 2020. The Stata 17.0 statistical software was used to analyze the impact of chronic disease comorbidity on healthcare facility-seeking behavior of elderly people in China using the probit regression model and the propensity score matching (PSM) method. ResultsOf the 4 508 elderly people surveyed, 748 (16.59%) reported having chronic disease comorbidity (suffering from two or more chronic diseases); 2 536 (56.26%) and 1 972 (43.74%) reported seeking medical treatment at primary and non-primary healthcare institutions during past six months. After adjusting for predisposing factors (gender, age, education level, marital status), enabling factors (household registration type, monthly retirement pension, satisfaction with medical treatment, participation in medical insurance, emotional relationship with children, financial support from children, caregiving provided by children), and need factors (self-rated health status, changes in health conditions, physical discomfort in the past two weeks, the ability to take care of oneself), the results of probit regression analysis showed that the elderly people with comorbid chronic diseases were more inclined to seek medical treatment at non-primary healthcare institutions (β = – 0.130, 95% confidence interval: – 0.237 – – 0.022). The estimated values of average treatment effect on the treated (ATT) of chronic disease comorbidity on the healthcare institution selection of the elderly people were – 0.052, – 0.048, and – 0.047, respectively, based on matched propensity scores of predisposing, enabling, and need factors with K-nearest neighbor, kernel, and radius matching (all P < 0.05), indicating that chronic disease comorbidity can reduce the probability of elderly people seeking medical treatment at primary healthcare institutions. The heterogeneity test results showed that the impact of chronic disease comorbidity on females (ATT = – 0.078 – – 0.063, all P < 0.05) and the elderly people with a junior high school education or below (ATT = – 0.058 – – 0.052, all P < 0.05) was more significant, but there was no statistically significant difference in the impact on males and elderly people with a high school education or above (all P > 0.05). ConclusionChronic disease comorbidity may affect the selection of medical institutions for elderly people in China to some extent, and its influence differs by gender and education level of the elderly.

ObjectiveThe aim of this study is to understand the job burnout of village doctors during the COVID-19 epidemic and its influencing factors, and to provide a reference for effectively alleviating the job burnout of village doctors.MethodsA cross-sectional survey was conducted among village doctors in S province in December 2021. The survey included a general information questionnaire and the CMBI Burnout Scale. Epidata was used for dual input, and descriptive analysis, t-test, chi-square test, and binary Logistic regression for statistical analysis were used.ResultsA total of 993 village doctors participated in the survey. Most of them were male village doctors (62.84%), with an average age of 46.57 (SD = 7.50). Village doctors believed that the impact of the epidemic on work was serious, with a score of 3.87 ± 0.91. The economic support was small, with a score of 2.31 ± 0.99. The development space was low, with a score of 2.62 ± 0.98. The overall incidence of burnout was 53.47%. In the burnout group, 54.05% were mild, 33.14% were moderate, and 12.81% were severe. The high degree of difficulty in using WeChat (OR = 1.436, 95%CI: 1.229–1.679), high work pressure (OR = 1.857, 95%CI: 1.409–2.449), high risk of practice (OR = 1.138, 95%CI: 1.004–1.289), less economic support (OR = 0.825, 95%CI: 0.684–0.995), less technical support (OR = 0.696, 95%CI: 0.565–0.858), and poor emotional support (OR = 0.632, 95%CI: 0.513–0.780) were more likely to have job burnout.ConclusionBurnout is a common phenomenon among village doctors during the COVID-19 pandemic, which needs to be prevented and alleviated by various measures.

ObjectivesThe proportion of middle-aged and older adult people exposed to the Internet continues to grow. Internet use may have an impact on the mental health of the older adult, especially loneliness. This study analyzed the relationship between Internet use and presence of loneliness.MethodsA total of 550 person aged 45 years and above were randomly selected from a province in eastern China at the end of 2022. The outcome variable was presence of loneliness, as measured by self-report. Descriptive analysis, chi-square test and binary logistic analysis were used to analyze the data.Results58.3% of respondents use the Internet. Internet use could reduce the possible of reported loneliness in middle-aged and older adult people (OR = 0.652, 95%CI: 0.465, 0.940), and residence played a moderating role in the relationship between them. Middle-aged and older adults who used the Internet for 1–3 h (OR = 0.464, 95%CI: 0.275, 0.784) and 3–5 h (OR = 0.484, 95%CI: 0.247, 0.946) were less likely to felt lonely than those who used the Internet for less than 1 h per day. In addition, middle-aged and older adult people using the Internet to contact relatives and friends (OR = 0.488, 95%CI:0.292, 0.818), read the news (OR = 0.485, 95%CI:0.277, 0.848), assets management (OR = 0.297, 95%CI:0.109, 0.818) were less likely to report loneliness, while those who made online payment (OR = 3.101, 95%CI:1.413, 6.807) were more likely to report loneliness.ConclusionThere is a significant negative correlation between Internet use and presence of loneliness, but different Internet duration and content have different effects on loneliness in middle-aged and older adult people. We should pay attention to the impact of Internet use on loneliness in middle-aged and older adult people.

Abstract 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.

Abstract 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

Abstract Background Family doctors in rural China are the main force for primary health care, but the workforce has not been well stabilized in recent years. Surface acting is an emotional labor strategy with a disparity between inner feelings and emotional displays, provoking negative effects such as emotional exhaustion, occupational commitment reduction, and, consequently, increasing turnover rate. With the Conservation of Resources theory, this study explores how the surface acting of rural family doctors affects turnover intention through emotional exhaustion and investigates what role occupational commitment plays in this relationship. Methods With a valid response rate of 93.89%, 953 valid data were collected by an anonymous self-administered questionnaire survey in December 2021 in Shandong Province, China. Cronbach’s Alpha and confirmatory factor analysis (CFA) were used to estimate reliability and construct validity, respectively. The PROCESS macro in SPSS was performed to analyze the mediating and moderated mediation effects of surface acting, emotional exhaustion, occupational commitment, and turnover intention. Results Reliability and validity indicated that the measurement instruments were acceptable. Surface acting had a direct positive effect on turnover intention (β = 0.481, 95% CI [0.420, 0.543]). Emotional exhaustion partially mediated the effect of surface acting on turnover intention (indirect effect: 0.214, 95% CI [0.175, 0.256]). Occupational commitment moderated the effect of emotional exhaustion on turnover intention (β = − 0.065, 95% CI [− 0.111, − 0.019]), and moderated the indirect effect of surface acting on turnover intention via emotional exhaustion (index of moderated mediation: − 0.035). Conclusions Emotional exhaustion partially mediates the relationship between surface acting and turnover intention among family doctors in rural China, and occupational commitment moderates the direct effect of emotional exhaustion on turnover intention and further moderates the mediating effect. Policymakers should pay more attention to the effects of emotional labor and emotional resource depletion on the stability of rural health human resources.

Abstract Background The “gatekeepers” for residents’ health are their family doctors. The implementation of contracted services provided by family doctors is conducive to promoting hierarchical diagnosis and treatment and achieving the objective of providing residents comprehensive and full-cycle health services. Since its implementation in 2016, the contract service system for Chinese family doctors has yielded a number of results while also highlighting a number of issues that require further investigation. Consequently, the purpose of this study is to assess the impact of family doctors’ contracted services in a Chinese city from the perspective of demanders (i.e., contracted residents), identify the weak links, and then propose optimization strategies. Methods In this study, a city in Shandong Province, China was selected as the sample city. In January 2020, 1098 contracted residents (including 40.5% men and 59.5% women) from 18 primary medical institutions (including township health centers and community health centers) were selected for on-site investigation. Take the PCAT-AS(Adult Short) scale revised in Chinese as the research tool to understand the medical experience of contracted residents in primary medical institutions, and interview some family doctors and residents to obtain more in-depth information. Results Among the four core dimensions of PCAT-AS, the score of Continuous was the highest (3.44 ± 0.58); The score of Coordinated was the lowest (3.08 ± 0.66); Among the three derived dimensions, the score of Family-centeredness was the highest (3.33 ± 0.65); The score of Culturally-competent was the lowest (2.93 ± 0.77). The types of contracting institutions, residents’ age, marital status, occupation, and whether chronic diseases are confirmed are the influencing factors of PCAT scores. Conclusion The family doctors’ contracted services in the city has achieved certain results. At the same time, there are still some problems, such as difficult access to outpatient services during non-working hours, incomplete service items, an imperfect referral system, and inadequate utilization of traditional Chinese medicine services, it is recommended that the government continue to enhance and increase its investment in relevant policies and funds. Primary medical institutions should improve the compensation mechanism for family doctors and increase their work enthusiasm, improve and effectively implement the two-way referral system, gradually form an orderly hierarchical pattern of medical treatment, provide diversified health services in accordance with their own service capacity and the actual needs of residents, and improve the utilization rate of traditional Chinese medicine services in primary medical institutions.

ObjectivesThis study aims to analyze the changes in village clinic doctors' turnover intention following the new health care system reform (NHCSR).MethodsAll 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.ResultsThe 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.ConclusionThe 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.

Abstract Background Village clinic doctors (VCDs) are part of the health service force in rural China. VCDs’ job satisfaction (JS) is important to the stability of the three-tiered health service system. Since 2009, the Chinese government launched a new health care system reform (NHCSR) which affected VCDs significantly. This study aimed to analysing the effect of NHCSR on JS among VCDs. Methods All the data came from three surveys in Shandong Province conducted in 2012, 2015 and 2018. In 2012, an originally designed questionnaire was used to conduct a baseline survey of 405 VCDs from 27 townships in nine counties. In 2015 and 2018, 519 and 223 VCDs in the same counties were surveyed with the same questionnaire. Descriptive analysis and ANOVA were used to analyse the level and changes in VCDs’ JS. Results The mean scores of VCDs’ total JS were 2.664 ± 1.069, 3.121 ± 0.931 and 2.676 ± 1.044 in 2012, 2015 and 2018, respectively, with a significant difference (F = 28.732, P

Abstract Background General practitioners are the gatekeepers of the health of the residents. This study aims to evaluate the trend and equity of general practitioners' allocation from 2012 to 2017 in China and provide a reference for regional health planning and rational distribution of general practitioners. Methods We extracted the data of general practitioners from 22 provinces, 5 autonomous regions, and 4 municipalities of mainland China. The population and geographical area were taken from the China Statistical Yearbook. The general practitioners' data were taken from the China Health Statistical Yearbook. Lorenz curve, Gini coefficient, and agglomeration degree were used to analyze the data. Results The number of general practitioners was 252,717 in 2017, which equates to 1.82 per 10,000 residents, and accounts for 7.45% of the total number of practicing (assistant) doctors. From 2012 to 2017, the population-based Gini coefficient for general practitioners reduced from 0.31 to 0.24, while the geographical area-based Gini coefficient remained unchanged at 0.73. The agglomeration degree based on population increased from 0.72 to 0.73 in the western region including Tibet (0.403) and Shaanxi (0.513). Moreover, in the eastern region the agglomeration degree reduced from 1.477 to 1.329. In the middle region it rose from 0.646 to 0.802. The agglomeration degree based on the geographical area in the western region increased from 0.270 to 0.277 while the values in Tibet, Qinghai, Xinjiang were less than 0.1. In the eastern region, it reduced from 1.447 to 1.329. It increased from 1.149 to 1.423 in the middle region. Conclusions The number of general practitioners has increased significantly in China. It has a fair allocation based on population. However, the equity based on geographical area is low and uneven in different regions with large regional differences. In the western region, there is an allocation shortage with respect to population and geographical area. Concerned departments should establish and improve the incentive and performance appraisal mechanisms of general practitioners. The Internet + should be used to empower their service capacity and efficiency. The educational input should be increased for the western region and government should encourage the eastern region to support the western region.

ObjectivesThe sudden outbreak of the novel coronavirus disease (COVID-19) plunged healthcare workers (HCWs) into warfare. This study aimed to determine the prevalence of burnout and the factors associated with it among frontline HCWs fighting COVID-19.MethodsA cross-sectional survey was conducted among frontline HCWs fighting against the COVID-19 in Wuhan, Harbin, and Shenzhen during the period from February 18 to March 4. Finally, HCWs were recruited using cluster sampling, 1,163 HCWs were included in the final analysis. Burnout was measured using a 22-item Maslach Burnout Inventory scale (MBI scale).ResultsOf the participants, 48.6% suffered from burnout, and 21.8% showed a high degree of burnout. Doctors (b = 3.954, P = 0.011) and nurses (b = 3.067, P = 0.042) showed higher emotional exhaustion (EE) than administrators. Participants who worked continuously for more than 8 h a day (b = 3.392, P = 0.000), those who were unable to eat three regular daily meals (b = 2.225, P = 0.008), whose daily water intake was no more than 800 ml (b = 3.007, P = 0.000), who slept for no more than 6 h (b = 1.609, P = 0.036), and who were infected or had colleagues who were infected with COVID-19 (b = 4.182, P = 0.000) experienced much higher levels of EE, while those who could adhere to infection control procedures (b = −5.992, P = 0.000), who were satisfied with their hospital’s infection control measures(b = −3.709, P = 0.001), and who could receive sufficient psychological crisis intervention (b = −1.588, P = 0.039) reported lower levels of EE.ConclusionThe study reveals that burnout is prevalent among frontline HCWs and that the known factors associated with burnout, such as workload, and the factors directly associated with COVID-19, such as having insufficient protection, can affect burnout symptoms in frontline HCWs. Synergized and comprehensive interventions should be targeted at reducing its occurrence among frontline HCWs fighting COVID-19.

BackgroundThe COVID-19 outbreak has tremendously impacted the world. The number of confirmed cases has continued to increase, causing damage to society and the economy worldwide. The public pays close attention to information on the pandemic and learns about the disease through various media outlets. The dissemination of comprehensive and accurate COVID-19 information that the public needs helps to educate people so they can take preventive measures. ObjectiveThis study aimed to examine the dissemination of COVID-19 information by analyzing the information released by the official WeChat account of the People’s Daily during the pandemic. The most-read COVID-19 information in China was summarized, and the factors that influence information dissemination were studied to understand the characteristics that affect its dissemination. Moreover, this was conducted in order to identify how to effectively disseminate COVID-19 information and to provide suggestions on how to manage public opinion and information governance during a pandemic. MethodsThis was a retrospective study based on a WeChat official account. We collected all COVID-19–related information, starting with the first report about COVID-19 from the People’s Daily and ending with the last piece of information about lifting the first-level emergency response in 34 Chinese provinces. A descriptive analysis was then conducted on this information, as well as on Qingbo Big Data’s dissemination index. Multiple linear regression was utilized to study the factors that affected information dissemination based on various characteristics and the dissemination index. ResultsFrom January 19 to May 2, 2020, the People’s Daily released 1984 pieces of information; 1621 were related to COVID-19, which mainly included headline news items, items with emotional content, and issues related to the pandemic’s development. By analyzing the dissemination index, seven information dissemination peaks were discerned. Among the three dimensions of COVID-19 information—media salience, content, and format—eight factors affected the spread of COVID-19 information. ConclusionsDifferent types of pandemic-related information have varying dissemination power. To effectively disseminate information and prevent the spread of COVID-19, we should identify the factors that affect this dissemination. We should then disseminate the types of information the public is most concerned about, use information to educate people to improve their health literacy, and improve public opinion and information governance.