Assessment of regional productive performance of European health systems under a metatechnology framework

Bonasia, Mariangela; Κουνετάς, Κωνσταντίνος; Napolitano, Oreste

doi:10.1016/j.econmod.2019.04.013

Cited by 9 publications

(4 citation statements)

References 63 publications

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“…This part talks about some numeric and qualitative methods that are used to evaluate these important measures. A lot of people use Data Envelopment Analysis (DEA), [7] a non-parametric method, to figure out how efficient different decision-making groups are. This could be healthcare facilities or programs.…”

Section: Methodologies For Measuring Efficiency and Effectivenessmentioning

confidence: 99%

Measuring Efficiency and Effectiveness in Public Health Management: Methodologies and Applications

2024

South Eastern European Journal of Public Health

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Efficient and successful measures are important for judging how well public health management systems work. To find out how efficient and effective public health management is, this study work looks at different methods and uses. Starting with a definition of efficiency and effectiveness in public health, highlighting how important they are for making the best use of resources and getting desired health results. For example, data envelopment analysis (DEA), stochastic frontier analysis (SFA), costeffectiveness analysis (CEA), quality-adjusted life years (QALYs), and other related methods are used to measure these measurements. Furthermore, the essay talks about the problems and limits of figuring out how efficient and effective public health management

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Section: Methodologies For Measuring Efficiency and Effectivenessmentioning

confidence: 99%

Measuring Efficiency and Effectiveness in Public Health Management: Methodologies and Applications

2024

South Eastern European Journal of Public Health

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“…Convergence analysis has been extensively used in the empirical literature while recent studies in efficiency and productivity analysis combine performance results with convergence types (Camarero et al, 2013; Färe et al, 2006; Bonasia et al, 2020; Kounetas & Zervopoulos, 2019; Stergiou & Kounetas, 2021). Here, we proceed with β and σ convergence tests defined by Barro (1991) and Sala-i-Martin (1996) to investigate whether a negative correlation between the initial level of each NBA team organizational gap and its growth rate could be supported.…”

Section: Methodological Approachmentioning

confidence: 99%

Salary Cap, Organizational Gap, and Catch-up in the Performance of NBA Teams: A Two-Stage DEA Model Under Heterogeneity

Chatzistamoulou

Κουνετάς

Theodor

2021

Journal of Sports Economics

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This paper evaluates National Basketball Association teams performance using a two-stage approach under a metafrontier framework. Our approach decomposes overall efficiency into salary-cap and on-court efficiency. Organizational gaps between different organizational structures are calculated as well. The introduction of the salary cap as an important element for a competitive market preventing monopoly formation allows the examination of the effects on different types of performance. Findings reveal that teams experience increased performance while organizational gaps decline. Moreover, a [Formula: see text] and [Formula: see text] convergence analysis reveals convergence patterns. Finally, the catch-up index denotes that the speed of convergence increases, especially after the salary cap policy implementation.

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“…The efficiency of subnational health systems is, similarly to the country level, usually estimated using outcome indicators (potential years of life lost, life expectancy, survival rate, mortality rates, etc.) as dependent variables (Allin et al, 2016;Bonasia et al, 2019;Felder and Tauchmann, 2013;Kathuria and Sankar, 2005;Piacenza and Turati, 2014). When the analysis concerns local health systems, however, it seems more appropriate to shift attention from outcome measures to output measures since local health systems are characterised by high spatial interdependence (Felder and Tauchmann, 2013) and because high interregional mobility of hospital patients and populations can characterise local systems.…”

Section: 2mentioning

confidence: 99%

“…Yet the vast literature on this topic rarely provides policymakers with precise recommendations about policy adoption intended to increase efficiency (Gearhart, 2016;Gravelle et al, 2003;Greene, 2004;Hollingsworth, 2003;Hollingsworth and Wildman, 2003;Kumbhakar, 2010;Street, 2003). In fact, most studies devote little attention to identifying the determinants of inefficiency in healthcare systems (Asandului et al, 2014;Bonasia et al, 2019;Häkkinen et al, 2013;Joumard et al, 2010;Kujawska, 2015;Kumbhakar, 2010;Medeiros and Schwierz, 2015;Papanicolas and Smith, 2013;Prachitha and Shanmugam, 2012;Retzlaff-Roberts et al, 2004). Further, even when the causes of inefficiency are identified, the most appropriate healthcare policy response is not specified and, therefore, no indications of the maximum level of efficiency attainable and the consequent possible expenditure savings are given.…”

Section: Introductionmentioning

confidence: 99%

Potential efficiency gains and expenditure savings in the Italian Regional Healthcare Systems

Rizzi

Zanette

2021

SSRN Journal

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T he pape r aim s t o analy s e t he e xte nt t o w hic h t he adopt ion of be s t prac t ic e polic ie s c ou ld im prov e t he e f f ic ie nc y of It alia n Re g ional He alt hc are Sy s t e ms ( RHSs ) and re du c e pu blic he alt hc are e xpendit u re s . B y m e ans of a s t oc has t ic f ront ie r m ode l w e e s t im ate t he RHSs ' t ec hnic al ine f f i c ie nc y and it s de t e rm inant s u s ing a pane l dat a of 1 6 re g i ons ov e r t he pe ri od 2 0 1 0 -2 0 1 6 . We u se t he Ess e nt ial L e ve ls of Care ( L EA) sc ore s c om pu t e d by t he Minis t ry of He alt h as a pro xy f or t he RHSs ' ou t put and pu blic he alt hc are e xpe ndit u re as t he m ain inpu t . T he le v e l of ine f f ic ie nc y is a f u nct ion of a s e t of v ariable s su m m aris ing t he org anis at iona l arr ang e m e nt s im ple m e nt e d by RHS polic y m ak e rs . T he re su lt s allow u s t o ide nt if y t he be s t -prac t ic e polic y , de f ine d as t he se t of obs e rv able org anis at ional ar rang e m e nt s t hat m axim is e s ag g re g at e e f f ic ie nc y. Adopt ion of t he be s t -prac t ic e polic y by all RHSs le ads t o pot e nt ial e f f ic ie nc y g ains of 1 . 5 pe r c e nt on av e rag e ( f rom 9 3 . 4 pe r c e nt t o 9 4 . 9 pe r ce nt ) and t o pot e nt ial he alt hc are e xpe ndit u re s av ing s of 1 . 8 billion e u ro i n 2 0 1 6 ( 1 . 77 pe r c e nt of c u rre nt e xpe ndit u re s ) .

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Assessment of regional productive performance of European health systems under a metatechnology framework

Cited by 9 publications

References 63 publications

Measuring Efficiency and Effectiveness in Public Health Management: Methodologies and Applications

Measuring Efficiency and Effectiveness in Public Health Management: Methodologies and Applications

Salary Cap, Organizational Gap, and Catch-up in the Performance of NBA Teams: A Two-Stage DEA Model Under Heterogeneity

Potential efficiency gains and expenditure savings in the Italian Regional Healthcare Systems

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