Local health companies have been trying to report quantitative and qualitative information through social reporting tools for a long time. The OECD has been questioning for quite some time how to evaluate satisfaction and quality by not considering the economic aspect alone in the quest for satisfying the needs of the citizen. The aim of the work is to evaluate how the compound indicator of well-being perceived by the population and the composite indicator of the quality of health services can be used to define health policies considering the incidence of other variables. In the analysis, it is therefore assessed how much the two indicators are related and linked to other variables that need to be considered and how independent indicators are used without further evaluations to target policies. The data are updated to October 18, 2017. All statistical analyses were performed using STATA V.13 (Stata Corp, College Station, Texas, USA, 2013) and p value <0.05 was considered significant for all analyses. The sample is made up of 35 OECD countries.
Better Life Index and Health Care Quality Indicators, Two New Instruments to Evaluate the Healthcare System
Paolo Pietro Biancone;Silvana Secinaro;Valerio Brescia
2018-01-01
Abstract
Local health companies have been trying to report quantitative and qualitative information through social reporting tools for a long time. The OECD has been questioning for quite some time how to evaluate satisfaction and quality by not considering the economic aspect alone in the quest for satisfying the needs of the citizen. The aim of the work is to evaluate how the compound indicator of well-being perceived by the population and the composite indicator of the quality of health services can be used to define health policies considering the incidence of other variables. In the analysis, it is therefore assessed how much the two indicators are related and linked to other variables that need to be considered and how independent indicators are used without further evaluations to target policies. The data are updated to October 18, 2017. All statistical analyses were performed using STATA V.13 (Stata Corp, College Station, Texas, USA, 2013) and p value <0.05 was considered significant for all analyses. The sample is made up of 35 OECD countries.File | Dimensione | Formato | |
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