scholarly journals Equity of Health Resources Allocation in Rural Guangxi from 2016 to 2019: An Empirical Analysis

2021 ◽  
Author(s):  
Shang-yu-hui HUANG ◽  
Meng DENG ◽  
Jun FENG ◽  
Qi-ming FENG
Keyword(s):  
Health Center ◽  
Rural Health ◽  
Health Resources ◽  
Status Quo ◽  
Theil Index ◽  
Resources Allocation ◽  
Health Resource ◽  
Health Resource Allocation ◽  
Rural Health Center ◽  
The Status

Abstract Background: Since 2009, the main task of the new health reform in China is to increase the equity of health resources allocation in primary health care institutions. Health policies and strategies have been established to increase the capacity of PHC services, with improved equity as the most important goal. The objective of this study is to analyze the status quo and equity of health resources distribution in rural Guangxi from 2016 to 2019.Methods: Descriptive statistics analysis was used to analyze the status quo of health resource allocation in rural health center in Guangxi from 2016 to 2019. Lorenz curve, Gini coefficient and Theil index were used to evaluate the equity of health resource allocation in rural health center in Guangxi from 2016 to 2019, from three dimensions of population, geography and economy. Results: From 2016 to 2019, the total amount of health resources in rural health center in Guangxi was increased, but the professional title and education background of health workers is still low. In 2019, the Gini coefficient was 0.085-0.217 geographically, 0.080-0.367 demographically and 0.135-0.340 economically. The total Theil index was 013-0.211, and the majority of the contribution rate of within regions was greater than the between regions. Conclusion: From 2016 to 2019, the distribution of health resources in rural Guangxi was uneven among regions, and with great differences within regions.

scholarly journals Equity of Health Resources Allocation in Rural Guangxi from 2016 to 2019: An Empirical Analysis

2021 ◽  
Author(s):  
Shangyuhui Huang ◽  
FENG Qi-ming
Keyword(s):  
Health Center ◽  
Rural Health ◽  
Health Resources ◽  
Status Quo ◽  
Theil Index ◽  
Resources Allocation ◽  
Health Resource ◽  
Health Resource Allocation ◽  
Rural Health Center ◽  
The Status

Abstract Background: Since 2009, the main task of the new health reform in China is to increase the equity of health resources allocation in primary health care institutions. Health policies and strategies have been established to increase the capacity of PHC services, with improved equity as the most important goal. The objective of this study is to analyze the status quo and equity of health resources distribution in rural Guangxi from 2016 to 2019.Methods: Descriptive statistics analysis was used to analyze the status quo of health resource allocation in rural health center in Guangxi from 2016 to 2019. Lorenz curve, Gini coefficient and Theil index were used to evaluate the equity of health resource allocation in rural health center in Guangxi from 2016 to 2019, from three dimensions of population, geography and economy. Results: From 2016 to 2019, the total amount of health resources in rural health center in Guangxi was increased, but the professional title and education background of health workers is still low. In 2019, the Gini coefficient was 0.085-0.217 geographically, 0.080-0.367 demographically and 0.135-0.340 economically. The total Theil index was 013-0.211, and the majority of the contribution rate of within regions was greater than the between regions. Conclusion: From 2016 to 2019, the distribution of health resources in rural Guangxi was uneven among regions, and with great differences within regions.

scholarly journals China’s Health Informatization：Development, Status Quo and Challenges During COVID-19 (Preprint)

2021 ◽  
Author(s):  
Mian Huang ◽  
Jian Wang ◽  
Stephen Nicholas ◽  
Elizabeth Maitland ◽  
Ziyue Guo
Keyword(s):  
Information Technology ◽  
Resource Allocation ◽  
Health Information ◽  
Healthcare Services ◽  
Status Quo ◽  
The Internet ◽  
Health Resource ◽  
Health Resource Allocation ◽  
The Status ◽  
Technology Applications

BACKGROUND By applying advanced health information technology (HIT) to the healthcare field, health informatization helps optimize health resource allocation, improve healthcare services and realize universal health coverage. COVID-19 has tested the status quo of China’s health informatization, revealing challenges to the health care system. OBJECTIVE Our study analyzes the development, status quo and practice of China's health informatization, especially during COVID-19, and makes recommendations to address the health informatization challenges. METHODS We analyzed the development of China’s health informatization from five perspectives: health information infrastructure, information technology applications, financial and intellectual investment, health resource allocation and standard system, and discussed the status quo of the Internet plus healthcare service pattern during COVID-19. The main data sources included China’ policy documents and national plans on health informatization, commercial and public welfare sources and websites, public reports, institutional reports and academic papers. In particular, we extracted data from the 2019 National Health Informatization Survey released by the National Health Commission (NHC) in China. RESULTS China has developed its health information infrastructure and information technology applications, made significant financial and intellectual informatization investments and improved health resource allocations. Tested during COVID-19, China's status quo health informatization sytem, especially the Internet plus healthcare, has played a crucial role in monitoring and controlling the pandemic and allocating medical resources. However, an uneven distribution of health resources and insufficient financial and intellectual investment continue to challenge China's health informatization. CONCLUSIONS China’s rapid development of health informatization has played a crucial role during COVID-19, providing a reference point for global pandemic prevention and control. To further promote health informatization, China’s health informatization needs to strengthen top-level design, increase investment and training, upgrade the health infrastructure and IT applications and improve Internet plus healthcare services.

scholarly journals Equity and Efficiency of Medical and Health Resource Allocation in Western China Based on Health Resources Agglomeration Degree and Malmquist Index

2021 ◽  
Author(s):  
Ju Qiu ◽  
Ruixia Yan
Keyword(s):  
Resource Allocation ◽  
Malmquist Index ◽  
Health Resources ◽  
Western China ◽  
Resources Allocation ◽  
Health Resource ◽  
Factor Productivity ◽  
Health Resource Allocation ◽  
Social And Economic Development ◽  
Equity And Efficiency

Abstract Background: There is unequal distribution and low utilization efficiency of medical and health resources among regions in China for regional inequality social and economic development. The social and economic development in western China is relatively backward nationwide. The quantity and quality of medical and health resources have become a social problem in western China. This study aims to evaluate the equity and efficiency of health resource allocation in western China. Methods: The research data are extracted from China Statistical Yearbook ( 2009 – 2019 ). We choose the health resource agglomeration degree ( HRAD ) theory and Malmquist index to evaluate the equity and efficiency of health resource allocation in western China. The HRAD shows the impact of demographic and geographic factors on health resource aggregation. Results: From the latest data in 2019, the equity of medical and health resources allocation based on geographical area in Inner Mongolia, Tibet, Qinghai and Xinjiang is poor. The equity of medical and health resources allocation based on population allocation in Yunnan, Tibet, Gansu, Qinghai, Ningxia and Xinjiang is poor. From 2009 to 2019, the equity of health resource allocation in western China are poor nationwide. The total factor productivity of Tibet, Qinghai, Ningxia and Xinjiang was less than 1, which were 0.994, 0.984, 0.974 and 0.994, respectively. The allocation of medical and health resources in western China is unfair. Conclusion: The government should pay attention to the horizontal flow of medical and health resources when investing in medical and health resources. Population and geographical factors should be taken into account when allocating health resources. The total factor productivity in the western region is greatly affected by the technological progress rate. We should increase investment in medical and health technology, and effectively optimize the equity and efficiency of medical and health resource allocation.

scholarly journals Health Resource Allocation in Western China from 2014 to 2018

2021 ◽  
Author(s):  
Zheng Wang ◽  
Haoyu He ◽  
Xi Liu ◽  
Qiming Feng ◽  
Bo Wei
Keyword(s):  
Resource Allocation ◽  
Human Resources ◽  
Registered Nurses ◽  
Health Equity ◽  
Health Resources ◽  
Western China ◽  
Resources Allocation ◽  
Health Resource ◽  
Gini Coefficients ◽  
Health Resource Allocation

Abstract Background: Health equity has persistently been a global concern. As a basic material guarantee to ensure health equity, how to allocate the health resources in a fair and reasonable way has always been one of the research hotspots. The coronavirus 2019 (COVID-19) pandemic has also prompted a rethinking of the topic. Based on the previous research, western China is a relatively backward region, coupled with climate, geography, and other factors, which leading the inconvenient transportation and difficult resource allocation. However, the fairness of health resource allocation in western China has received relatively little attention. Methods: Lorentz curve, Gini coefficient and Theil index were used to analyse the health resources allocation in the western China. The indexes include number of beds, medical (assistant) practitioners, registered nurses from 2014 to 2018 through population and geography dimensions. Results: The total health resources shows an increasing trend from 2014 to 2018; The Lorentz curve in the population dimension had a smaller curvature than in the geography dimension. The Gini coefficients for health resources in the population dimension were ranged from 0.057 to 0.129, and in geography dimension the Gini coefficients ranged between 0.605 and 0.647. This shows that the distribution of Health resources is fair basing on population dimension. Furthermore, in two dimensions, the intra-group contribution rate of the Theil index was higher than in the inter-group, and the allocation of practicing (assistant) practitioners and registered nurses show a significant inequity in intra-group. This result indicated that the inequity of health resources allocation were mainly came from intra-group, namely the provinces (autonomous regions and municipalities) in western China.Conclusions: In recent years, China’s various measures have improved the total amount of health resources and its equity of health resources in western China. However, the fairness of the health resources allocation in western China were remind poor. Although the fairness of human resources allocation has been alleviated in population dimension, the inequity of human resources distribution in provinces (autonomous regions and municipalities) are still obvious. In addition, the accessibility of health resources in western China must be further improved.

scholarly journals Examination of patient flow in a rural health center in Malawi

2016 ◽  
Vol 9 (1) ◽  
Author(s):  
M. A. Jafry ◽  
A. M. Jenny ◽  
S. J. Lubinga ◽  
E. Larsen-Cooper ◽  
J. Crawford ◽  
...  
Keyword(s):  
Health Center ◽  
Rural Health ◽  
Patient Flow ◽  
Rural Health Center

scholarly journals Differences in regional distribution and inequality in health-resource allocation at hospital and primary health centre levels: a longitudinal study in Shanghai, China

BMJ Open ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. e035635
Author(s):  
Enhong Dong ◽  
Shipeng Liu ◽  
Minjie Chen ◽  
Hongmei Wang ◽  
Li-Wu Chen ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Health Centre ◽  
Regional Distribution ◽  
Primary Health Centre ◽  
Theil Index ◽  
Health Resource ◽  
Healthcare Resources ◽  
Health Resource Allocation ◽  
Primary Health ◽  
Inequality In Health

ObjectivesTo analyse differences in regional distribution and inequality in health-resource allocation at the hospital and primary health centre (PHC) levels in Shanghai over 7 years.DesignA longitudinal survey using 2010–2016 data, which were collected for analysis.SettingThe study was conducted at the hospital and PHC levels in Shanghai, China.Outcome measuresTen health-resource indicators were used to measure health-resource distribution at the hospital and PHC levels. In addition, the Theil Index was calculated to measure inequality in health-resource allocation.ResultsAll quantities of healthcare resources per 1000 people in hospitals and PHCs increased across Shanghai districts from 2010 to 2016. Relative to suburban districts, the central districts had higher ratios, both in terms of doctors and equipment, and had faster growth in the doctor indicator and slower growth in the equipment indicator in hospitals and PHCs. The Theil Indices of all health-resource allocation in hospitals had higher values compared with those in PHCs every year from 2010 to 2016; furthermore, the Theil Indices of the indicators, except for technicians and doctors in hospitals, all exhibited downward time trends in hospitals and PHCs.ConclusionsIncreased healthcare resources and reduced inequality of health-resource allocation in Shanghai during the 7 years indicated that measures taken by the Shanghai government to deepen the new round of healthcare reform in China since 2009 had been successful. Meanwhile there still existed regional difference between urban and rural areas and inequality across different medical institutions. To solve these problems, we prescribe increased wages, improved working conditions, and more open access to career development for doctors and nurses; reduced investments in redundant equipment in hospitals; and other incentives for balancing the health workforce between hospitals and PHCs.

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