Ranking and Prioritization of Emergency Departments Based on Multi-indicator Systems
| Autor: | Lucia Leporatti, Luca Gandullia, Enrico Di Bella, Marcello Montefiori, Patrizia Orcamo |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Sociology and Political Science
Operations research Emergency departments Partial order scalogram analysis by coordinates 01 natural sciences 03 medical and health sciences 0302 clinical medicine Arts and Humanities (miscellaneous) Developmental and Educational Psychology Relevance (information retrieval) 0101 mathematics Multi-indicators systems Set (psychology) Measure (data warehouse) Emergency departments Multi-indicators systems Non-compensatory composite indicators Partial order scalogram analysis by coordinates Partially ordered sets 010102 general mathematics Rank (computer programming) General Social Sciences 030208 emergency & critical care medicine Weighting Ranking Work (electrical) Performance indicator Partially ordered sets Psychology Non-compensatory composite indicators |
| Popis: | In this work we discuss how Emergency Departments (EDs) can be ranked on the basis of multiple indicators. This problem is of absolute relevance due to the increasing importance of EDs in regional healthcare systems and it is also complex as the number of indicators that have been proposed in the literature to measure ED performance is very high. Current literature faces this problem using synthetic (or numerically aggregated) indicators of a set of performance measures but, although simple, this solution has a number of drawbacks that make this choice inefficient: a compensation effect among the indicators; a high degree of subjectivism in the indicators weighting; opacity in the decision making; all the EDs are considered to be comparable. Indeed, the situations in which EDs are comparable (i.e. when all the performance of one ED are not lower than the performance indicators of the other) are a minority and incomparability is by itself a source of information that should be used to identify situations for which different policy actions should be designed. In this work we propose to use non compensatory composite indicators and partial ordering theory to rank and compare EDs giving value to the reasons of such an incomparability. These methods are applied on a case study of 19 EDs in an administrative region in Italy. |
| Databáze: | OpenAIRE |
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