scholarly journals Fairness of the Distribution of Public Medical and Health Resources

2021 ◽  
Vol 9 ◽  
Author(s):  
Lida Pu
Keyword(s):  
Public Health ◽  
Resource Allocation ◽  
Health Service ◽  
Health Services ◽  
Gini Coefficient ◽  
Health Resources ◽  
Health Resource ◽  
Medical Resources ◽  
Health Resource Allocation ◽  
The Gini Coefficient

The fairness of health services is an important indicator of the World Health Organization's performance evaluation of health services, and the fairness of health resource allocation is the prerequisite for the fairness of health services. The research in this article aims to explore how to use health and medical resources fairly and effectively to allocate health resources in different fields, populations and projects, in order to achieve the maximization of social and economic benefits of health and medical resources. In the study of the distribution and equity of public health and medical resources, we comprehensively apply Gini coefficient, Theil index, Lorentz curve and difference index, based on the theory of health resource allocation and the theory of health equity, the province's health service resources have been researched and evaluated, combined with regional health planning theories and public health theories, a variety of scientific methods were used to analyze community health service resources at all levels across the country. At the same time, we reviewed the journal literature about the treatment of patients and children, and analyzed the patients admitted to medical institutions in various regions. The research in this paper found that from 2016 to 2020, the Gini coefficient of the province's health institutions according to population distribution has been fluctuating between 0.14 and 0.17. During this 5-year period, the Gini coefficient of the distribution of medical and health expenditures by population shows a downward trend year by year. From 2019, reach below 0.1, this shows that the fairness of the allocation of health resources according to population has a clear trend of improvement.

scholarly journals High-resolution age-specific mapping of the two-week illness prevalence rate based on the National Health Services Survey and geostatistical analysis: a case study in Guangdong province, China

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Chuchun Wen ◽  
Xiaoliang Huang ◽  
Lifen Feng ◽  
Long Chen ◽  
Wei Hu ◽  
...  
Keyword(s):  
Resource Allocation ◽  
High Resolution ◽  
Health Services ◽  
Prevalence Rate ◽  
Age Groups ◽  
Guangdong Province ◽  
Health Resource ◽  
Prevalence Rates ◽  
Health Resource Allocation ◽  
Age Structured

Abstract Background The two-week illness prevalence rate is an important and comparable indicator of health service needs. High-spatial-resolution, age-specific risk mapping of this indicator can provide valuable information for health resource allocation. The age-prevalence relationships may be different among areas of the study region, but previous geostatistical models usually ignored the spatial-age interaction. Methods We took Guangdong province, the province with the largest population and economy in China, as a study case. We collected two-week illness data and other potential influencing predictors from the fifth National Health Services Survey in 2013 and other open-access databases. Bayesian geostatistical binary regression models were developed with spatial-age structured random effect, based on which, high-resolution, age-specific two-week illness prevalence rates, as well as number of people reporting two-week illness, were estimated. The equality of health resource distribution was further evaluated based on the two-week illness mapping results and the health supply data. Results The map across all age groups revealed that the highest risk was concentrated in the central (i.e., Pearl River Delta) and northern regions of the province. These areas had a two-week illness prevalence > 25.0%, compared with 10.0–20.0% in other areas. Age-specific maps revealed significant differences in prevalence between age groups, and the age-prevalence relationships also differed across locations. In most areas, the prevalence rates decrease from age 0 to age 20, and then increase gradually. Overall, the estimated age- and population-adjusted prevalence was 16.5% [95% Bayesian credible interval (BCI): 14.5–18.6%], and the estimated total number of people reporting illness within the two-week period was 17.5 million (95% BCI: 15.5–19.8 million) in Guangdong Province. The Lorenz curve and the Gini coefficient (resulted in 0.3526) showed a moderate level of inequality in health resource distribution. Conclusions We developed a Bayesian geostatistical modeling framework with spatial-age structured effect to produce age-specific, high-resolution maps of the two-week illness prevalence rate and the numbers of people reporting two-week illness in Guangdong province. The methodology developed in this study can be generalized to other global regions with available relevant survey data. The mapping results will support plans for health resource allocation.

Criteria Used for Priority-Setting for Public Health Resource Allocation in Low- and Middle-Income Countries: A Systematic Review

2019 ◽  
Vol 35 (6) ◽  
pp. 474-483 ◽  
Author(s):  
Gunjeet Kaur ◽  
Shankar Prinja ◽  
P.V.M. Lakshmi ◽  
Laura Downey ◽  
Deepshikha Sharma ◽  
...  
Keyword(s):  
Public Health ◽  
Systematic Review ◽  
Resource Allocation ◽  
Priority Setting ◽  
Health Resource ◽  
Middle Income ◽  
Middle Income Countries ◽  
Health Resource Allocation ◽  
Allocation Decisions ◽  
Resource Allocation Decisions

AbstractObjectivesThis systematic review aimed to identify criteria being used for priority setting for resource allocation decisions in low- and middle-income countries (LMICs). Furthermore, the included studies were analyzed from a policy perspective to understand priority setting processes in these countries.MethodsSearches were carried out in PubMed, Embase, Econlit, and Cochrane databases, supplemented with pre-identified Web sites and bibliographic searches of relevant papers. Quality appraisal of included studies was undertaken. The review protocol is registered in International Prospective Register of Systematic Reviews PROSPERO CRD42017068371.ResultsOf 16,412 records screened by title and abstract, 112 papers were identified for full text screening and 44 studies were included in the final analysis. At an overall level, cost-effectiveness 52 percent (n = 22) and health benefits 45 percent (n = 19) were the most cited criteria used for priority setting for public health resource allocation. Inter-region (LMICs) and between various approaches (like health technology assessment, multi-criteria decision analysis (MCDA), accountability for reasonableness (AFR) variations among criteria were also noted. Our review found that MCDA approach was more frequently used in upper middle-income countries and AFR in lower-income countries for priority setting in health. Policy makers were the most frequently consulted stakeholders in all regions.Conclusions and RecommendationsPriority-setting criteria for health resource allocation decisions in LMICs largely comprised of cost-effectiveness and health benefits criteria at overall level. Other criteria like legal and regulatory framework conducive for implementation, fairness/ethics, and political considerations were infrequently reported and should be considered.

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 Association between Medical Resource Allocation and Satisfaction with Services of Public Health Management: Evidence from China

2020 ◽  
Author(s):  
Shangren Qin ◽  
Xiaohe Wang
Keyword(s):  
Public Health ◽  
Resource Allocation ◽  
Health Service ◽  
Health Services ◽  
Medical Service ◽  
Health Management ◽  
Medical Resource ◽  
Public Health Services ◽  
Satisfaction With Services ◽  
Public Health Management

Abstract Background: People’s satisfaction has been one important indicator to measure the health care quality in health systems. Medial resource allocation issues have also become an important concern affecting the equity and satisfaction of health service. This study aimed to study the factors affecting people's satisfaction with the services of public health management in China. Specifically, we examine the association between medical resource allocation and satisfaction with the services of public health management.Methods: To explore the associations between medical resource allocation and satisfaction with services of public health management in China, we derived data from the 2013 wave of the Chinese General Social Survey (CGSS). Models were estimated using multivariable logistic regression analysis.Results: Among factors of evaluation of medical resource allocation, adequacy of medical service resources, market-oriented and insufficiently public of public health services, and convenience of access to public health services were all significantly associated with satisfaction with services of public health management except the balance of medical service resources' distribution. Also, for different service projects and areas, the link between satisfaction with health service and residents’ characteristics also depends on specific service content.Conclusions: There is a link between medical resource allocation and satisfaction with the services of public health management. Medical resource allocation does affect satisfaction with services of public health management. It is necessary to improve the adequacy, publicity of medical services, and convenience of access to public health services in China.

Local Public Health Resource Allocation

2013 ◽  
Vol 45 (6) ◽  
pp. 769-775 ◽  
Author(s):  
Betty Bekemeier ◽  
Anthony L.-T. Chen ◽  
Nami Kawakyu ◽  
Youngran Yang
Keyword(s):  
Public Health ◽  
Resource Allocation ◽  
Health Resource ◽  
Local Public Health ◽  
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.

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