Comparative Analysis of the Ordering of Polish Provinces in Terms of Social Cohesion

Dehnel, Grażyna; Walesiak, Marek; Obrębalski, Marek

doi:10.15678/aoc.2019.2005

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…The measure replaces a description of the examined objects with a description of a single aggregate value. This method is often used to assess the level of economic development of countries and regions [42,43].…”

Section: Methodsmentioning

confidence: 99%

Struggling with COVID-19—A Framework for Assessing Health System Performance

Markowicz

Rudawska

2021

Sustainability

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Currently, no guidelines exist on how to evaluate the performance of health systems fighting the SARS-CoV-2 pandemic. Therefore, this study seeks (1) to develop a conceptual framework that would be helpful in the given context, and (2) to test the feasibility of the proposed approach. The framework is conceptualized based on investigating critical dimensions and indicators for the successful design of a method for evaluating the performance of health systems. Subsequently, the taxonomic measure of development is used and a correlational analysis made in order to run a pilot test of the proposed concept. The finalized conceptual framework has five input dimensions (demographical burden, epidemiological burden, health-related quality of life, financial resources, and access) described by 18 indicators, and two output domains (outcomes, productivity) described by six indicators to monitor system performance under the COVID-19 pandemic. The pilot-test conducted in European Union countries and the United States proved the model to be useful and feasible. The proposed framework can be used to assess the performance of health systems fighting novel pathogens, such as SARS-CoV-2, worldwide. Our methodological approach can be used as a benchmark for international agencies such as the World Health Organization in developing their own frameworks. The paper presents the first research exploring the evaluation of a health system during the COVID-19 pandemic. It has the potential to help monitor a health system’s performance during the pandemic by accounting for specific country-related circumstances. In a broader sense, it can contribute to boosting health market competitiveness in terms of quality.

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Section: Methodsmentioning

confidence: 99%

Struggling with COVID-19—A Framework for Assessing Health System Performance

Markowicz

Rudawska

2021

Sustainability

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“…The research methodology is a modified approach proposed by Walesiak [42] and Dehnel et al [18]. The research procedure, which makes it possible to present four types of data in one study, consists of the following steps:…”

Section: Methodsmentioning

confidence: 99%

“…In Dehnel et al [18] the level of social cohesion was assessed using a hybrid approach combining multidimensional scaling and linear ordering, applied separately to classic metric data and symbolic interval-valued data (1st and 3rd quartile); the results were then compared.…”

Section: Introductionmentioning

confidence: 99%

The Measurement of Social Cohesion at Province Level in Poland Using Metric and Interval-Valued Data

Walesiak

Dehnel

2020

Sustainability

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The notion of social cohesion is increasingly used in the political, economic and academic debate. Due to its multidimensional, the assessment of social cohesion is not easy, especially if it is conducted at a lower than national level of aggregation. The aim of the study is to assess social cohesion in provinces of Poland in 2018 using the hybrid approach involving multidimensional scaling and linear ordering based on an aggregate measure. This type of study is usually conducted using classic metric data. However, the traditional approach does not account for the variation between lower level units (i.e., districts). The authors propose a methodology which makes this possible. Additionally the results of assessment of the multidimensional phenomenon can be presented in a two-dimensional space. Classic metric data and symbolic interval-valued data (three data types: min-max, 1st decile and 9th decile, 2nd decile and 8th decile) are jointly represented in a single diagram. The consistency of the research method ensures comparability of results of linear ordering. Two criteria were used in the comparative analysis of four rankings of social cohesion. The results of the study clearly showed that the current level of social cohesion at the provinces level is geographically and historically dependent.

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Fuzzy Cognitive Maps as a Toll for Structuring New Research Problems

Cheba

Bąk

2022

Studies in Classification, Data Analysis, and Knowledge Organization

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Comparative Analysis of the Ordering of Polish Provinces in Terms of Social Cohesion

Cited by 4 publications

References 6 publications

Struggling with COVID-19—A Framework for Assessing Health System Performance

Struggling with COVID-19—A Framework for Assessing Health System Performance

The Measurement of Social Cohesion at Province Level in Poland Using Metric and Interval-Valued Data

Fuzzy Cognitive Maps as a Toll for Structuring New Research Problems

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