Service quality benchmarking via a novel approach based on fuzzy ELECTRE III and IPA: an empirical case involving the Italian public healthcare context

Health Care Manag Sci. 2019 Mar;22(1):106-120. doi: 10.1007/s10729-017-9424-4. Epub 2017 Nov 21.

Abstract

A novel fuzzy-based approach which combines ELECTRE III along with the Importance-Performance Analysis (IPA) is proposed in the present work to comparatively evaluate the service quality in the public healthcare context. Specifically, ELECTRE III is firstly considered to compare the service performance of examined hospitals in a noncompensatory manner. Afterwards, IPA is employed to support the service quality management to point out improvement needs and their priorities. The proposed approach also incorporates features of the Fuzzy Set Theory so as to address the possible uncertainty, subjectivity and vagueness of involved experts in evaluating the service quality. The model is applied to five major Sicilian public hospitals, and strengths and criticalities of the delivered service are finally highlighted and discussed. Although several approaches combining multi-criteria methods have already been proposed in the literature to evaluate the service performance in the healthcare field, to the best of the authors' knowledge the present work represents the first attempt at comparing service performance of alternatives in a noncompensatory manner in the investigated context.

Keywords: ELECTRE III; Fuzzy set theory; Healthcare quality; IPA; Service quality benchmarking; Service quality management.

MeSH terms

  • Benchmarking / methods*
  • Fuzzy Logic
  • Humans
  • Italy
  • Models, Organizational
  • Quality Assurance, Health Care / methods
  • Quality Assurance, Health Care / standards
  • Quality of Health Care* / standards
  • Quality of Health Care* / statistics & numerical data