2016
DOI: 10.1007/s11205-016-1537-5
|View full text |Cite
|
Sign up to set email alerts
|

Ranking and Prioritization of Emergency Departments Based on Multi-indicator Systems

Abstract: 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 … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 15 publications
(3 citation statements)
references
References 27 publications
0
3
0
Order By: Relevance
“…So, in this study we employ an alernative evaluation procedure (Fattore 2016;Fattore and Arcagni 2016), which is properly designed to work fuzzy measures out of ordinal multiindicator systems. The procedure is based on the Theory of Partially Ordered Sets, which has been already and successfully employed in many socio-economic studies (Annoni and Bruggemann 2009;Annoni et al 2011;Badinger and Reuter 2015;Di Brisco and Farina 2017;Carlsen and Bruggemann 2016;Carlsen 2015;di Bella et al 2016;Fattore and Maggino 2015;Iglesias et al 2016;della Queva, S. 2017). In the posetic approach, deprivation evaluation is addressed as a problem of multidimensional comparison between achievement configurations and some reference benchmarks, which play the role of deprivation or well-being thresholds.…”
Section: Theoretical and Statistical Frameworkmentioning
confidence: 99%
“…So, in this study we employ an alernative evaluation procedure (Fattore 2016;Fattore and Arcagni 2016), which is properly designed to work fuzzy measures out of ordinal multiindicator systems. The procedure is based on the Theory of Partially Ordered Sets, which has been already and successfully employed in many socio-economic studies (Annoni and Bruggemann 2009;Annoni et al 2011;Badinger and Reuter 2015;Di Brisco and Farina 2017;Carlsen and Bruggemann 2016;Carlsen 2015;di Bella et al 2016;Fattore and Maggino 2015;Iglesias et al 2016;della Queva, S. 2017). In the posetic approach, deprivation evaluation is addressed as a problem of multidimensional comparison between achievement configurations and some reference benchmarks, which play the role of deprivation or well-being thresholds.…”
Section: Theoretical and Statistical Frameworkmentioning
confidence: 99%
“…Synthesis of multidimensional systems of ordinal data using non-aggregative methods allows the construction of measures without the aggregation of the scores of basic indicators [ 57 ]. The Partially Ordered Set (poset) is a reference within this approach [ 58 ], as shown by different works in different fields [ [59] , [60] , [61] , [62] , [63] , [64] ]. Poset perfectly fits perfectly with the synthesis of ordinal indicators, such as those used in this paper.…”
Section: Methodsmentioning
confidence: 99%
“…Considering factors such as the return of patients before being seen and the sudden return of the patient has complicated this study. di Bella et al 24 studied the performance evaluation and ranking of 19 EDs by considering qualitative and cost-related indicators. To rank the departments, the Theory of Partially Ordered Sets was built on to identify the best and worst departments as soon as possible.…”
Section: Introduction and Review Literaturementioning
confidence: 99%