A Goal Programming Example in Public Health Resource Allocation

1984 ◽  
Vol 30 (3) ◽  
pp. 279-289 ◽  
Author(s):  
Kim M. Tingley ◽  
Judith S. Liebman
Keyword(s):  
Public Health ◽  
Resource Allocation ◽  
Goal Programming ◽  
Health Resource ◽  
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 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.

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 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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