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Wang Y, Feng X, Chai Y, Chen K, Yang S, Li W, Mi Y. Coupling coordination relationship between health resource allocation and regional economic development: an empirical study based on five provinces in eastern China. Front Public Health 2024; 12:1513188. [PMID: 39737454 PMCID: PMC11683099 DOI: 10.3389/fpubh.2024.1513188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2024] [Accepted: 12/04/2024] [Indexed: 01/01/2025] Open
Abstract
Background Improving system coordination is a pivotal strategy and a critical pathway for social governance. Chinese society is currently facing a significant challenge in aligning the allocation of health resources with economic development. Evaluating the level of coordinated development within the system can provide valuable insights to support the construction of a more coordinated China and foster high-quality development. Methods Based on a systematically constructed indicator framework, our study selected data from five eastern provinces of China to establish a ten-year panel dataset covering the period from 2011 to 2020. The comprehensive evaluation index and the relative development degree were employed to comprehensively evaluate the development level of the system. The coupling coordination degree model was applied to analyze the coupling coordination relationship and spatiotemporal evolution trend of the two systems. Additionally, the fixed effects model was used to identify the driving factors behind the coordinated development of the two systems. Results From 2011 to 2020, the comprehensive indices of health resource allocation and economic development in the five eastern provinces of China exhibited a consistent year-on-year increase, and the relative development degree experienced two critical values of 0.8 and 1.2, which changed from the lagging allocation of health resources to the lagging economic development. The system coordination index generally ranged between 0.35 and 0.90, with the coordination phase undergoing a transition from an antagonistic stage to a coordinated stage. The coordination type also gradually shifted from mild imbalance to good coordination. Furthermore, the levels of economic development, economic structure, technological investment, as well as the allocation of health human and material resources, all serve as critical drivers in enhancing the coordinated development of the system. Conclusion The coordinated development of eastern China's provinces produces substantial spillover effects, and the realization of a Healthy China initiative must strategically harness their radiative and demonstrative effects. Achieving a superior level of coordination requires urgent efforts to rectify the existing deficiencies in the distribution of grassroots healthcare resources. Furthermore, cultivating innovative drivers of economic growth and enhancing the capacity for economic support are critical to ensuring high-quality and sustainable development.
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Affiliation(s)
- Yongqiang Wang
- School of Management, Shandong Second Medical University, Weifang, China
| | - Xiaochen Feng
- School of Management, Shandong Second Medical University, Weifang, China
| | - Yulin Chai
- School of Management, Shandong Second Medical University, Weifang, China
| | - Kexuan Chen
- School of Public Health, Shandong Second Medical University, Weifang, China
| | - Shilan Yang
- School of Public Health, Shandong Second Medical University, Weifang, China
| | - Wei Li
- School of Public Health, Shandong Second Medical University, Weifang, China
| | - Yuqing Mi
- School of Public Health, Shandong Second Medical University, Weifang, China
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Shao S, Niu K, Qi X, Li F, Wang L, Sheng Y, Qiu X, Li Y, Du Y, Fan H. Human resource allocation status and equity research of Centers for Disease Control and Prevention in China from 2016 to 2020. Front Public Health 2024; 12:1382343. [PMID: 39267646 PMCID: PMC11391484 DOI: 10.3389/fpubh.2024.1382343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 08/09/2024] [Indexed: 09/15/2024] Open
Abstract
Background In recent years, the development of global public health has become a matter of great concern and importance for governments worldwide. China, as the largest developing country, plays a crucial role in shaping the development of the public health and its ability to respond to sudden public health emergencies through the fairness of its human resource allocation in center for disease control and prevention (CDC). Objective This study aims to analyze the situation of health human resource allocation in the China Centers for Disease Control and Prevention (China CDCs), assess the fairness of the allocation, and provide reference for the rational allocation of human resources. Methods We selected data from the China Health Statistics Yearbook on healthcare technical personnel, other technical personnel, managerial personnel, and workforce technical personnel of China CDCs for the period of 2016-2020. We utilized the Health Resource Density Index to evaluate the level of human resource allocation in China CDCs. Additionally, we used the Gini coefficient and Theil index to assess the fairness of human resource allocation in China CDCs from both a population and geographical perspective. Results Firstly, the educational qualifications and professional titles of CDC staff have improved, but the workforce is aging. Secondly, HRDI development trends vary among different personnel types and regions with varying levels of economic development. Finally, the results of the Gini coefficient and Theil index indicate that population distribution fairness is better than geographical distribution fairness. Overall, the unfair population distribution is primarily due to regional disparities. Conclusion The China CDCs should tailor different standards for the allocation of health human resources based on regional characteristics, aiming to enhance the accessibility of health human resources in various regions and achieve equitable allocation.
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Affiliation(s)
- Shen Shao
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China
- College of Management and Economics, Tianjin University, Tianjin, China
| | - Kunzai Niu
- College of Management and Economics, Tianjin University, Tianjin, China
| | - Xinye Qi
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Fangshi Li
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Li Wang
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yawei Sheng
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xinyu Qiu
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yi Li
- College of Management and Economics, Tianjin University, Tianjin, China
| | - Yue Du
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Haojun Fan
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China
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Qin Q, Xu B, Hu X, Wei X, Su Y, Tang X. Spatiotemporal trends and geographic disparities in spatial accessibility to maternal and child health services in Nanning, China: impact of two-child policies. BMC Health Serv Res 2024; 24:934. [PMID: 39148114 PMCID: PMC11325703 DOI: 10.1186/s12913-024-11415-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Accepted: 08/08/2024] [Indexed: 08/17/2024] Open
Abstract
BACKGROUND China's family planning policies have experienced stages of one-child policy, partial two-child policy, and universal two-child policy. However, the impact of these policy shifts on the spatial accessibility to maternal and child health (MCH) services for women and children remains uncertain. This study aimed to evaluate the spatiotemporal trends and geographic disparities in spatial accessibility to MCH services in the context of two-child polices. METHODS This study was conducted in Nanning prefecture, China, from 2013 to 2019. Data on the transportation networks, MCH institutes, the annual number of newborns, and the annual number of pregnant women in Nanning prefecture were collected. Gaussian two-step floating catchment area (Ga2SFCA) method was employed to measure the spatial accessibility to MCH services at county, township, and village levels. Temporal trends in spatial accessibility were analyzed using Joinpoint regression analysis. Geographic disparities in spatial accessibility were identified using geographic information system (GIS) mapping techniques. RESULTS Overall, the spatial accessibility to MCH services showed an upward trend from 2013 to 2019 at county, town, and village levels, with the average annual percent change (AAPC) being 5.04, 4.73, and 5.39, respectively. Specifically, the spatial accessibility experienced a slight downward trend during the period of partial two-child policy for both parents only children (i.e., 2013-2014), a slight upward trend during the period of partial two-child policy for either parent only child (i.e., 2014-2016) and the early stages of universal two-child policy (i.e., 2016-2018), and a large upward trend in the later stages of universal two-child policy (i.e., 2018-2019). Spatial accessibility to MCH services gradually decreased from central urban areas to surrounding rural areas. Regions with low spatial accessibility were predominantly located in remote rural areas. CONCLUSION With the gradual opening of the two-child policies, the spatial accessibility to MCH services for women and children has generally improved. However, significant geographic disparities have persisted throughout the stages of the two-child policies. Comprehensive measures should be considered to improve equity in MCH services for women and children.
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Affiliation(s)
- Qinglian Qin
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Bin Xu
- Nanning Center for Disease Control and Prevention, Nanning, Guangxi, China
| | - Xinxuan Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Xue Wei
- Nanning Center for Health Information, Nanning, Guangxi, China
| | - Yulu Su
- Nanning Center for Health Information, Nanning, Guangxi, China
| | - Xianyan Tang
- Department of Epidemiology and Biostatistics, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
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Li X, Su M, He L, Yang J, Wu F. Spatial distribution patterns of human resources allocation in maternal and child healthcare institutions in China from 2016 to 2021. BMC Health Serv Res 2024; 24:726. [PMID: 38872151 DOI: 10.1186/s12913-024-11153-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 05/28/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND In China, economic, urbanization, and policy differences between the eastern and western regions lead to uneven healthcare resources. This disparity is more pronounced in the west due to fewer healthcare personnel per thousand individuals and imbalanced doctor-to-nurse ratios, which exacerbates healthcare challenges. This study examines the spatial distribution of human resources in maternal and child healthcare from 2016 to 2021, highlighting regional disparities and offering insights for future policy development. METHODS The data were sourced from the "China Health and Family Planning Statistical Yearbook" (2017) and the "China Health and Health Statistics Yearbook" (2018-2022). This study utilized GeoDa 1.8.6 software to conduct both global and local spatial autocorrelation analyses, using China's administrative map as the base dataset. RESULTS From 2016 to 2021, there was an upward trend in the number of health personnel and various types of health technical personnel in Chinese maternal and child healthcare institutions. The spatial distribution of these personnel from 2016 to 2021 revealed clusters characterized as high-high, low-low, high-low and low-high. Specifically, high-high clusters were identified in Guangxi, Hunan, Jiangxi, and Guangdong provinces; low-low in Xinjiang Uygur Autonomous Region and Inner Mongolia Autonomous Region; high-low in Sichuan province; and low-high in Fujian and Anhui provinces. CONCLUSIONS From 2016 to 2021, there was evident spatial clustering of health personnel and various health technical personnel in Chinese maternal and child healthcare institutions, indicating regional imbalances.
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Affiliation(s)
- Xiaohui Li
- Guyuan Maternal and Child Healthcare Hospital, Guyuan, Ningxia, 756000, China
| | - Mei Su
- School of Humanities and Management, Ningxia Medical University, Yinchuan, Ningxia, 750001, China
| | - Li He
- School of Humanities and Management, Ningxia Medical University, Yinchuan, Ningxia, 750001, China
| | - Jianjun Yang
- School of Public Health, Ningxia Medical University, Yinchuan, 750001, Ningxia, China
| | - Fangyuan Wu
- School of Humanities and Management, Ningxia Medical University, Yinchuan, Ningxia, 750001, China.
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Zhou M. Equity and efficiency of health resource allocation in township health centers in Sichuan Province, China. PLoS One 2024; 19:e0299988. [PMID: 38442112 PMCID: PMC10914297 DOI: 10.1371/journal.pone.0299988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 02/19/2024] [Indexed: 03/07/2024] Open
Abstract
OBJECTIVE To analyze the equity and efficiency of health resource allocation in township health centers in Sichuan Province, and to provide a scientific basis for promoting the development of township health centers in Sichuan Province, China. METHODS The Lorenz curve, Gini coefficient and health resource density index were used to analyze the equity of health resource allocation in township health centers in Sichuan Province from 2017 to 2021, and data envelopment analysis(DEA) was used to analyze the efficiency of health resource allocation in township health centers in Sichuan Province from 2017 to 2021. RESULTS The Gini coefficient of health resources of township health centers in Sichuan Province is below 0.2 by population in addition to the number of beds in 2020-2021 and practicing (assistant) physicians in 2021, and the Gini coefficient of health resources of township health centers in Sichuan Province is above 0.6 by geography. The Lorentz curve of health resources of township health centers in Sichuan Province is closer to the equity line by population allocation and further from the equity line by geographical allocation. The average level of township health centers in Sichuan Province is used as the standard to calculate the health resource density standard index(W) of each region, the Ws of Panzhihua, Ganzi, Aba and Liangshan are less than 1, and the Ws of Ziyang, Neijiang, Deyang and Meishan are greater than 1. The overall efficiency of township health centers in Sichuan Province in 2017 and 2021 is 1, and the DEA is relatively effective. The overall efficiency of township health centers in Sichuan Province in 2018 and 2019 is not 1, and the DEA is relatively ineffective. The overall efficiency of all health resources in Mianyang and Ziyang is 1, and the DEA is relatively effective. The overall efficiency of all health resources in Suining, Neijiang, Yibin, Aba and Ganzi is not 1, and the DEA is relatively ineffective. CONCLUSION The equity of health resource allocation by population is better than that by geography in township health centers in Sichuan Province. Combining population and geographical factors, the health resource allocation of Panzhihua, Ganzi, Aba and Liangshan is lower than the average level of Sichuan Province. The efficiency of health resource allocation in township health centers in Sichuan Province is low.
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Affiliation(s)
- Minghua Zhou
- Department of Administration Office, Luzhou People’s Hospital, Luzhou, Sichuan, China
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Huang Y, Song Y, Li J, Wang Y, Zeng X, Ma C, Yin Z. Survey on Immunization Services for Children with Medical Conditions - China, 2022. China CDC Wkly 2023; 5:419-423. [PMID: 37275266 PMCID: PMC10235818 DOI: 10.46234/ccdcw2023.079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 04/24/2023] [Indexed: 06/07/2023] Open
Abstract
What is already known about this topic? Children with medical conditions frequently experience under-immunization. Ensuring high-quality immunization services is crucial for enhancing vaccination coverage levels; nevertheless, the state of immunization service provision for children with medical conditions in China remains unclear. What is added by this report? Immunization support for children with medical conditions in China demonstrates considerable variability and may be inadequate. Primary obstacles to the provision of immunization services include an absence of comprehensive vaccination recommendations and assessment guidelines for specific medical conditions, as well as inconsistencies among vaccine recommendations, package inserts, and expert consensus statements pertaining to the vaccination of children with medical conditions. What are the implications for public health practice? The examination of provincial practices in providing immunization services for children with medical conditions, as well as understanding the barriers faced by National Immunization Program providers in administering vaccinations, can contribute to the improvement of immunization services for this population in China.
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Affiliation(s)
- Yong Huang
- Guangzhou Municipal Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yudan Song
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Junhong Li
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yamin Wang
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiang Zeng
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
- Chinese Field Epidemiology Training Program, Chinese Center for Disease Control and Prevention, Beijing, China
- Zhuhai Municipal Center for Disease Control and Prevention, Zhuhai City, Guangdong Province, China
| | - Chao Ma
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zundong Yin
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China
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