Journal of Scientific Papers

ECONOMICS & SOCIOLOGY


© CSR, 2008-2019
ISSN 2071-789X

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    Centre of Sociological Research

     

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    Alexander Dubcek University of Trencín, Faculty of Social and Economic Relations (Slovak Republic)



     
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Evaluation of selected indicators of patient satisfaction and economic indices in OECD country

Vol. 12, No 4, 2019

Robert Stefko,

 

University of Prešov in Prešov,

Presov, Slovakia

robert.stefko@unipo.sk

Evaluation of selected indicators of patient satisfaction and economic indices in OECD country

 

Beata Gavurova,

 

Technical University of Kosice,

Kosice, Slovakia,

beata.gavurova@tuke.sk


Martin Rigelsky,

 

University of Prešov in Prešov,

Presov, Slovakia

martin.rigelsky@gmail.com


Viera Ivankova,

 

University of Prešov in Prešov,

Presov, Slovakia

ivankova.vierka@gmail.com


 


 

Abstract. The primary aim of the research is to estimate the relationship between healthcare indicators and economic indices in the selected OECD countries. The goal was met in three main procedures. Firstly, a cluster of the selected countries was identified, then a relationship analysis was realized on eight variables that determined satisfaction and economic indices (Global Innovation Index - GII, Human Development Index - HDI) and at the end, regression analysis which calculates the impact of innovation activity (GII) on healthcare satisfaction was used (the mean of 8 healthcare satisfaction variables – MeanHC) as well as the impact of this variable on maturity (HDI) in the selected OECD countries (the sample of 33 countries). The cluster was estimated by using the method based on Euclidean distance, and the number of clusters was defined by Silhouette method. Two clusters were computed. Also, the coefficients such as Spearman ρ and Pearson r were used in analysis of this relationship. A significant relationship is not evident only in the variable that determined cost satisfaction. The differences between clusters in the individual satisfaction variables were confirmed by t-test, Welch test and Wilcoxon test. A significant difference between the clusters is in satisfaction with staff friendliness. Regression analysis was computed by means of using a method based on Least Trimmed Squares Robust Regression. Significant impact was reflected in both assumptions (GII to MeanHC and also MeanHC to HDI).

 

Received: December, 2018

1st Revision: March, 2019

Accepted: October, 2019

 

DOI: 10.14254/2071-789X.2019/12-4/9

JEL ClassificationI14, I15

Keywords: quality of healthcare, patient satisfaction, OECD, global innovation index, human development index, relations analysis, cluster analysis