Measuring inequalities in the public health workforce at county-level Centers for Disease Control and Prevention in China

Human Resources Allocation of the Centers for Disease Control and Prevention in China

Objective

To analyze the equity of human resources allocation of the Centers for Disease Control and Prevention (CDCs) and to predict the development in the next five years in China, and to provide a scientific basis for promoting the development of human resources.

Methods

The data of the CDCs from 2017 to 2021 were obtained from the "China Health Statistical Yearbook", and descriptive analysis, health resource density index (HRDI), Theil index, and health resource agglomeration degree (HRAD) were used to evaluate the equity, and the grey prediction model GM (1, 1) was used to predict the development from 2022 to 2026.

Results

Measured by the HRDI, the shortage of human resources in the western region was relatively obvious, with a shortage of more than 11,656 health technicians, more than 6418 licensed (assistant) physicians, and more than 693 registered nurses. The Theil index of human resources allocation by population was between 0.016 and 0.071, and the Theil index of human resources allocation by geography was between 0.312 and 0.359. The allocation of human resources by geography was more unequal than those allocated by population. In terms of HRAD, human resources are over-allocated equitably by geography in the eastern and central regions, while they are under-allocated equitably by geography in the western region. In terms of the difference between the HRAD and PAD, the eastern region has a shortage of human resources relative to the concentration population, and the western region has an excess of human resources relative to the concentration population.

Conclusion

The human resources allocation of the CDCs in China was uneven. The human resources of the CDCs were allocated more equitably by population than by geography. There was a situation where the equity of human resource allocation of the CDCs was contrary to the actual demand for medical care.

Satisfaction of family physician team members in the context of contract system: A cross-sectional survey from Shandong Province, China

Background

Family physicians play a key role in responding to the growing demand for primary healthcare due to aging. The work attitude of family physician team members (FPTMs) impacts their work efficiency and quality. Knowing how satisfied they are with their jobs can help identify potential directions and entry points for incentives. The purpose of this study is to analyze the job satisfaction status and influencing factors of grassroots health service personnel after the implementation of the family physician contract system in China.

Methods

The study conducted a cross-sectional survey with 570 FPTMs in three prefecture-level cities in the Shandong Province. Satisfaction was measured using 30 items across seven dimensions. Responses were recorded on a 5-point Likert scale. Descriptive statistical analysis was used to analyze the general information and satisfaction of FPTMs. Multiple linear regression analysis was used to analyze the factors influencing job satisfaction.

Results

The overall job satisfaction among FPTMs was not high. Among the seven dimensions, interpersonal relationships had the highest satisfaction (4.10 ± 0.78), while workload had the lowest satisfaction (3.08 ± 0.56). The satisfaction levels of the three sample regions were different, and the results were opposite to their regional economic development levels. The results of the multifactor analysis showed that gender, income level, educational background, working years, daily working hours, number of training sessions per year and the proportion of performance pay had significant impact on overall job satisfaction.

Conclusions

The development of a family physician contract system has increased the workload of FPTMs. In addition to the implementation of the new policy, attention should be paid to the workload and working attitude of family physicians. The fundamental measures should focus on attracting more personnel to work at the grassroots level by accelerating education and training to solve the problem of insufficient health personnel at the grassroots level. Simultaneously, attention should be paid to the improvement of the medical staff's salary level and the need for self-promotion, such as training.

Measuring the Inequalities in the Distribution of Public Healthcare Resources by the HRDI (Health Resources Density Index): Data Analysis from 2010 to 2019

Background: In China, a developing country, the imbalance of development exists in different fields, and the inequalities in the distribution of healthcare services have garnered increasing attention. This study aimed to assess the healthcare services allocation and compare the latest distribution ratios of the essential healthcare indicators with the national requirement values announced by the government to research the level of healthcare development in China. Methods: Data were extracted from the Chinese Statistical Yearbook (2010–2019). The Healthcare Resource Density Index (HRDI) was used to evaluate equity in the demographic and geographical dimensions. The requirement values related to the ratio of doctors, nurses, and institution beds per thousand people were drawn from government documents. The data of healthcare serviceability indicators were compared with those requirements to check the situation of each province’s medical development. Results: From 2010 to 2018, there was a sustainable upward trend in government investment, however, a noticeable drop in the investment in northeast areas was seen. Although the HRDI of the institutions, beds, doctors, and nurses experienced some small fluctuations over the years, the developing areas in the middle-west areas had almost approached the level of developed east areas. There were only four provinces that met the requirements of the government in all three indicators (the ratio of institution beds, doctors, and nurses per thousand people). Conclusion: The equality of the distribution of healthcare services in China was unfair between the eastern and middle-western areas. The government launched the developing requirements and paid additional attention to narrowing the imbalance among different economic level regions to meet the needs of the local people. Although many provinces did not meet the requirements for medical resources in 2019, the distribution of healthcare services was approached relatively equitably countrywide.

Growth and challenges of China's nursing workforce from 1998 to 2018: A retrospective data analysis

BACKGROUND

Nurses play a vitally important role in promoting equitable and essential care. China undertook bold reforms in its education and healthcare systems since 1990s. The effect of these reforms on the nursing workforce has not been assessed systematically.

OBJECTIVE

This study aims to assess the changing trends and the underlying challenges of the nursing workforce in Mainland China in the period of 1998-2018.

DESIGN

Retrospective data analysis.

METHODS

Data were acquired from the National Health Statistics Yearbook from 1999 to 2019. Descriptive statistics were used to analyze the nature of the nursing workforce in terms of quantity, quality, and structure. Non-parametric tests were used to compare doctors and nurses in terms of number and work experiences. Global Moran's I index and hotspot analysis were applied to compare the equity in distribution of nurses at national and provincial levels.

RESULTS

From 1998 to 2018, the number of nurses increased from 1.22 to 4.10 million with an average rate of increase of 6.3% per annum. The ratio of doctors to nurses changed from 1: 0.61 to 1: 1.14, reaching 1: 1 in 2013. The main educational level of registered nurses elevated to associated degree (48.9%), and nurses with advanced titles increased at the most rapid rate. In 2018, 60.3% of nurses were younger than 35 years old. The Global Moran's I index ranged from 0.211 to 0.198 (Z > 1.96, P < 0.05). Hotspot analysis showed the distribution of nurses was unequally concentrated in the northern region and with the highest distribution in Beijing.

CONCLUSIONS

Great improvement on the scale and the quality of nursing workforce over the past 20 years has been witnessed in China. However, the shortage of nurses, outflow of younger nurses and the imbalance distribution of nursing workforce among the country are emerging challenges. Plans should not be ignored on continuously cultivating more qualified nurses, retaining younger nurses, attracting nurses to work in rural areas and the northeast region. Tweetable abstract: Numbers of Chinese nurses finally outstrip the number of doctors but do limited educational opportunities limits their contribution to the nation's health? New article in @ijnsjournal.

Equity and Efficiency of Health Resource Allocation of Chinese Medicine in Mainland China: 2013-2017

Background: In this study, we aimed to estimate the equity and efficiency of traditional Chinese medicine (TCM) health resource allocation, utilization, and trend in mainland China from 2013 to 2017. Methods: The data were downloaded from the China Health Statistical Yearbook (2014-2018) and the China Statistical Yearbook (2018). The equity of TCM health resource allocation was evaluated through the Lorenz curve, Gini coefficient (G), and Theil index (T) based on population size and geographical area. The efficiency and productivity of TCM health resource utilization were assessed using the data envelopment analysis-based Malmquist productivity index. Results: TCM health resource had an increasing trend every year. The equity allocated by population (G ranging from 0.1 to 0.3) was better than that by geographic region (G > 0.5). T in the intra-groups was higher than those in the inter-groups. The equity of TCM resource allocation was the middle region > eastern region > western region. Most provinces (29 out of 31) had negative productivity changes, suggesting deterioration in productivity. Moreover, the middle region with higher scale sizes had more redundant inputs than the other two regions. However, the low technological development (all technical values <1) might hinder productive progress. Conclusion: The equity of TCM health allocated by the population was better than that by the geographic region. The intra-regional difference was the main reason for inequity sources. Productivities in more than 97% of provinces are inefficient. The frequency distribution of scale efficiency (score > 1) had increased since 2015. However, the frequency distribution of technical change (score > 1) decreased every year. The slow technological progress and low scale size might be the main reasons for low productivity.

Spatial Optimization of Residential Care Facility Configuration Based on the Integration of Modified Immune Algorithm and GIS: A Case Study of Jing'an District in Shanghai, China

As the population is aging rapidly, the irrationality of residential care facility (RCF) configuration has impacted the efficiency and quality of the aged care services so significantly that the optimization of RCF configuration is urgently required. A multi-objective spatial optimization model for the RCF configuration is developed by considering the demands of three stakeholders, including the government, the elderly, and the investor. A modified immune algorithm (MIA) is implemented to find the optimal solutions, and the geographic information system (GIS) is used to extract information on spatial relationships and visually display optimization results. Jing’an District, part of Shanghai, China, is analyzed as a case study to demonstrate the advantages of this integrated approach. The configuration rationality of existing residential care facilities (RCFs) is analyzed, and a detailed recommendation for optimization is proposed. The results indicate that the number of existing RCFs is deficient; the locations of some RCFs are unreasonable, and there is a large gap between the service supply of existing RCFs and the demands of the elderly. To fully meet the care demands of the elderly, 6 new facilities containing 1193 beds are needed to be added. In comparison with the optimization results of other algorithms, MIA is superior in terms of the calculation accuracy and convergence rate. Based on the integration of MIA and GIS, the quantity, locations, and scale of RCFs can be optimized simultaneously, effectively, and comprehensively. The optimization scheme has improved the equity and efficiency of RCF configuration, increased the profits of investors, and reduced the travel costs of the elderly. The proposed method and optimization results have reference value for policy-making and planning of RCFs as well as other public service facilities.