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

Author

Listed:
  • Enrico di Bella

    (University of Genoa)

  • Luca Gandullia

    (University of Genoa)

  • Lucia Leporatti

    (University of Genoa)

  • Marcello Montefiori

    (University of Genoa)

  • Patrizia Orcamo

    (Liguria Region, Health Regional Agency)

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 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.

Suggested Citation

  • Enrico di Bella & Luca Gandullia & Lucia Leporatti & Marcello Montefiori & Patrizia Orcamo, 2018. "Ranking and Prioritization of Emergency Departments Based on Multi-indicator Systems," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1089-1107, April.
    • Handle: RePEc:spr:soinre:v:136:y:2018:i:3:d:10.1007_s11205-016-1537-5
    DOI: 10.1007/s11205-016-1537-5
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    References listed on IDEAS

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    1. Enrico di Bella & Matteo Corsi & Lucia Leporatti, 2015. "A Multi-indicator Approach for Smart Security Policy Making," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(3), pages 653-675, July.
    2. Paolo Cremonesi & Enrico Bella & Marcello Montefiori & Luca Persico, 2015. "The Robustness and Effectiveness of the Triage System at Times of Overcrowding and the Extra Costs due to Inappropriate Use of Emergency Departments," Applied Health Economics and Health Policy, Springer, vol. 13(5), pages 507-514, October.
    3. Pasquale De Muro & Matteo Mazziotta & Adriano Pareto, 2011. "Composite Indices of Development and Poverty: An Application to MDGs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 104(1), pages 1-18, October.
    4. Matteo Mazziotta & Adriano Pareto, 2011. "Un indice sintetico non compensativo per la misura della dotazione infrastrutturale: un’applicazione in ambito sanitario," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 13(1), pages 63-79, December.
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    2. Stefania M. L. Rimoldi & Alberto Arcagni & Marco Fattore & Laura Terzera, 2022. "Social and Material Vulnerability of the Italian Municipalities: Comparing Alternative Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 523-540, June.
    3. Arcagni, Alberto & Avellone, Alessandro & Fattore, Marco, 2022. "Complexity reduction and approximation of multidomain systems of partially ordered data," Computational Statistics & Data Analysis, Elsevier, vol. 173(C).
    4. Fattore, Marco & Alaimo, Leonardo Salvatore, 2023. "A partial order toolbox for building synthetic indicators of sustainability with ordinal data," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    5. Alaimo, Leonardo Salvatore & Fiore, Mariantonietta & Galati, Antonino, 2022. "Measuring consumers’ level of satisfaction for online food shopping during COVID-19 in Italy using POSETs," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).

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