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A decision aiding methodology to compare patient classification systems

Author

Listed:
  • María A. De Vicente y Oliva
  • Sarah Ben Amor
  • Jaime Manera Bassa
  • Isabel Caballero López Fando
  • Ángel Gómez Delgado
  • Pablo De Miguel Bohoyo

Abstract

Spanish public hospitals funding depends on the classification of attended pathologies. These pathologies are grouped thanks to a patient classification system (PCS) into the so-called diagnostic related groups (DRGs). International Classification of Diseases (ICD) coding systems generate various DRGs. Based on the ICD-9, the all patients diagnostic related groups (AP-DRGs) were used. In January 2016, Spain adopted ICD-10. One of the casualties from this transition was the AP-DRG PCS which did not accept information coded with ICD-10. A new system had to be adopted. In this paper we develop a methodology to assist decision-makers who are charged with evaluating and determining replacement PCS in the context of scarce resources and limited hospital funding. We ground our approach in a rigorous analytical framework is order to understand the pros and cons of candidate systems, from both clinical and managerial perspectives. We propose a multicriteria decision-aiding approach based on the outranking method, ELECTRE III to produce a ranking of the different options. The methodology is applied to a case study of a Spanish hospital where the change from ICD-9 to ICD-10 has already occurred.

Suggested Citation

  • María A. De Vicente y Oliva & Sarah Ben Amor & Jaime Manera Bassa & Isabel Caballero López Fando & Ángel Gómez Delgado & Pablo De Miguel Bohoyo, 2018. "A decision aiding methodology to compare patient classification systems," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 7(3/4), pages 177-194.
  • Handle: RePEc:ids:ijmcdm:v:7:y:2018:i:3/4:p:177-194
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