2020
DOI: 10.4236/jssm.2020.132016
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Analysis on the Differences of Health Resources Allocation in Undeveloped Areas of Chongqing, China: A Cross-Sectional Study

Abstract: Objective: To analyze the status and differences of health resources allocation in undeveloped areas of Chongqing, China, and to provide empirical evidence for health planning and further optimization of health resources allocation. Methods: The comprehensive evaluation system for health resources allocation in underdeveloped areas was constructed. Afterwards, the entropy weight TOPSIS method was used to comprehensively evaluate the level of health resources allocation in 22 underdeveloped areas of Chongqing, … Show more

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Cited by 5 publications
(3 citation statements)
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“…In the early 21st century, Chinese scholars began to quantitatively study the allocation of medical and health resources by using the Lorenz curve, Gini coefficient, concentration index, Theil index and other methods, and the research scope was mostly at the national and provincial scale [ 36 , 37 ] and less involved at the municipal and below [ 38 ]. The findings show that the inequitable allocation of medical and health resources exists at all scales studied, with geographic allocation being less equitable and differences in medical and health resources allocation being caused between regions and within regional differences [ 39 , 40 , 41 , 42 , 43 , 44 ]. Affected by the economy, population, society and policy, the allocation of medical and health resources varies greatly among regions [ 45 ].…”
Section: Introductionmentioning
confidence: 99%
“…In the early 21st century, Chinese scholars began to quantitatively study the allocation of medical and health resources by using the Lorenz curve, Gini coefficient, concentration index, Theil index and other methods, and the research scope was mostly at the national and provincial scale [ 36 , 37 ] and less involved at the municipal and below [ 38 ]. The findings show that the inequitable allocation of medical and health resources exists at all scales studied, with geographic allocation being less equitable and differences in medical and health resources allocation being caused between regions and within regional differences [ 39 , 40 , 41 , 42 , 43 , 44 ]. Affected by the economy, population, society and policy, the allocation of medical and health resources varies greatly among regions [ 45 ].…”
Section: Introductionmentioning
confidence: 99%
“…Decision-makers utilize MCDM to optimize resource allocation by considering criteria like cost-effectiveness and risk reduction potential. This ensures the efficient and effective allocation of limited resources to address information security risks (Zhang et al, 2020;Yaqing et al, 2023;Alghawli, 2021). Furthermore, MCDM aids decision-makers in meeting compliance obligations, incorporating stakeholder considerations, and promoting transparency in the decision-making process (Vassoney et al, 2021) .…”
Section: Research Motivationmentioning
confidence: 99%
“…Urban road network data were also applied to analyze the accessibility of each healthcare institution within a city [ 17 ]. These studies mainly allowed analyses of the spatial distribution of medical institutions within a city as well as their planning and construction [ 18 ]. Recently, Yin et al explored the uneven distribution of the spatial accessibility of healthcare facilities nationwide [ 19 ].…”
Section: Introductionmentioning
confidence: 99%