Investigation of Relationship Between Spatial Distribution of Medical Equipment and Preventable Mortality

Gavurová, Beata; Tuček, David; Kováč, Viliam

doi:10.3390/ijerph16162913

Cited by 5 publications

(4 citation statements)

References 22 publications

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“…This inequitable distribution of medical equipment can have significant consequences, including increased medical treatment costs for patients in underserved areas, delayed diagnosis and treatment of diseases, reduced regional medical treatment capacity and lower health service quality 36. Moreover, this inequitable allocation can lead to differences in regional mortality rates 37. This phenomenon may be related to regional economic disparities and hospital development.…”

Section: Discussionmentioning

confidence: 99%

“… 36 Moreover, this inequitable allocation can lead to differences in regional mortality rates. 37 This phenomenon may be related to regional economic disparities and hospital development. High-level hospitals or hospitals in economically developed areas often receive more economic support, enabling them to maintain a leading position in material conditions.…”

Section: Discussionmentioning

confidence: 99%

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Equity of health resource allocation in Chongqing, China, in 2021: a cross-sectional study

Wei,

Jiang,

Zhao

et al. 2024

BMJ Open

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BackgroundChongqing, the most populous city in Southwest China. This study aims to examine the equity of health resource allocation in Chongqing using the latest statistics, analyse possible shortcomings and propose strategies to address these issues.MethodsThis cross-sectional study used healthcare resource, population, area and gross domestic product data from the Seventh National Census Bulletin of Chongqing, the National County Statistical Yearbook, the Chongqing Municipal Bureau of Statistics and the Chongqing Health Statistical Yearbook 2022. We also studied the equity of health resource allocation in Chongqing by using the Gini coefficient, Lorenz curve and Theil index, and used the Analytical Hierarchy Process and Technique for Order of Preference by Similarity to Ideal Solution (AHP–TOPSIS) method to comprehensively evaluate the health resources in the four major regions of Chongqing.ResultsThe Gini coefficient of health resources in Chongqing in 2021 was the highest when allocated according to geographical area, between 0.4285 and 0.6081, both of which exceeded 0.4, and the Gini coefficient of medical equipment was the highest and exceeded 0.6. The inter-regional Theil index of each resource was greater than the intraregional Theil index, and the contribution of inter-regional differences ranged from 64.83% to 80.21%. The results of the AHP–TOPSIS method showed that the relative proximity between health resources and ideal solutions in four regions of Chongqing ranged from 0.0753 to 0.9277.ConclusionThe allocation of health resources in Chongqing exhibits pronounced inequities, particularly in the distribution of medical equipment according to geographical area. Moreover, there exists a substantial gap in the equity of health resource allocation among the four regions of Chongqing. As such, this study emphasises the need for Chongqing, China, to prioritise the equitable allocation of health resources and increase consideration of geographic factors. Implementing measures to promote equitable allocation of health resources, particularly in geographic terms, is critical.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Equity of health resource allocation in Chongqing, China, in 2021: a cross-sectional study

Wei,

Jiang,

Zhao

et al. 2024

BMJ Open

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“…With the new millennium, PET-CT technologies also began to be used globally in the medical process. E cient utilization of high technologies can effect preventable mortalities [5]. Besides, the use of high technology equipment positively contribute to the health systems [6], and thus, support health equality in regions [7].…”

Section: Literaturementioning

confidence: 99%

Accurate Analysis of The Distribution of Medical Imaging Technologies: The Case of Türkiye

Temiz,

Kara

2024

Preprint

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The distribution of medical diagnostic imaging technologies (MDIT) between the regions of Türkiye were analyzed through hierarchical clustering of the capacity and use (CAU) variables. Statistics yearbooks’ data of the Ministry of Health for the years 2013 and 2018 were used. Analyses were performed on the entire CAU data and its six subsets generated according to the characteristics of MDIT. The dissimilarities of the clusters were measured by Euclidean distance between z-score standardized data points. The experiments showed that analyzing the CAU variables together may lead to the formation of the clusters that do not reflect reality and therefore to make erroneous judgments. To ensure more accurate and detailed analysis, they should be analyzed on a per-device basis. This study also showed that 12 Nomenclature of Territorial Units for Statistics (NUTS) regions of the country could be clustered within 3 to 5 groups. According to our analysis method, with some negligible exceptions, it is seen that Turkey is in a very good position in ensuring the equity in access to the health services, in terms of MDIT distribution.

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“…Researchers are paying attention to the analysis of factors that influence the morbidity and mortality from NCDs. Mortality analysis was oriented also to evaluation of the air pollution effect on well-being and health [16], to the definition of the relationship between medical equipment and preventable mortality [17], to the identification the changes of cardiovascular mortality through changes in medicine utilization, socioeconomic, and health system factors [18], or to the estimation of the risk of chronic diseases and death due to life satisfaction [19].…”

Section: Introductionmentioning

confidence: 99%

Premature Mortality for Chronic Diseases in the EU Member States

Megyesiova

Lieskovská

2019

IJERPH

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Premature mortality, and especially premature mortality for chronic diseases, is a very important topic of public health, health care, or lifestyle of population. The main aim of countries is to reduce premature mortality, and therefore an analysis of the development and status of premature standardized death rates (SDR) is key for disclosure of successes or failures in this topic. A boxplot chart was used to detect extremes of SDR for both sexes. The gender ratio revealed the differences of mortality rates between men and women. Premature mortality declined steadily in the EU between 2000 and 2016. The men’s premature SDR decreased from 390 to 275.9 between 2000 and 2016, while the women’s rate declined from 180.1 to 138.2. On average, annual premature SDR dropped by 2.14% for men and 1.64% for women. Thus, the gender ratio (male/female) declined from 2.17 in 2000 to 2.0 in 2016, which is a positive change for gender gap closing. The highest proportion of premature mortality belonged to mortality for malignant neoplasms, where the rate was as high as 47% for women and 32% for men in 2016. Premature mortality for chronic disease is especially high in the “new” EU member states.

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Investigation of Relationship Between Spatial Distribution of Medical Equipment and Preventable Mortality

Cited by 5 publications

References 22 publications

Equity of health resource allocation in Chongqing, China, in 2021: a cross-sectional study

Equity of health resource allocation in Chongqing, China, in 2021: a cross-sectional study

Accurate Analysis of The Distribution of Medical Imaging Technologies: The Case of Türkiye

Premature Mortality for Chronic Diseases in the EU Member States

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