Article In: orcid, cienciavitae

The satisfaction of healthcare consumers: analysis and comparison of different methodologies

International Transactions in Operational Research

Vieira, Inês; Ferreira, Diogo; Pedro, Maria Isabel — 2022 — Wiley

Key information

Authors:

Vieira, Inês; Ferreira, Diogo; Pedro, Maria Isabel (Maria Isabel Craveiro Pedro)

Published in

January 3, 2022

Abstract

<jats:title>Abstract</jats:title><jats:p>Patient satisfaction and the factors influencing it are becoming a significant concern for health organizations and patients around the world. This study evaluates patients' satisfaction regarding the inpatient service while tackling the existent literature gap on which method best suits the patient satisfaction analysis. We perform a methodological comparison (using factor analysis, structural equation modeling, ordinal logistic regression (OLR), and multicriteria satisfaction analysis (MUSA)) to contrast the different results from different methodologies. After implementing the methods, we concluded that, out of the eleven analyzed factors, seven influence satisfaction: accommodations, auxiliary staff, exams and treatments, medical staff, food quality, volunteering staff, and obtained information. Three were consistent for structural equation modeling and OLR: accommodations, exams and treatments, and health services. The outputs of MUSA were not compatible with the other methods. However, we concluded that the MUSA method is a good option when dealing with patient satisfaction studies since it provides insightful outputs that facilitate managers' decision making and improve the provider's performance efficiency.</jats:p>

Publication details

Authors in the community:

Publication version

VoR - Version of Record

Publisher

Wiley

Title of the publication container

International Transactions in Operational Research

First page or article number

545

Last page

571

Volume

30

Issue

1

ISSN

0969-6016

DOI

10.1111/itor.13098

Fields of Science and Technology (FOS)

economics-and-business - Economics and business

Keywords

  • Management of Technology and Innovation
  • Management Science and Operations Research
  • Strategy and Management
  • Computer Science Applications
  • Business and International Management

Publication language (ISO code)

eng - English

Alternative identifier (URI)

http://dx.doi.org/10.1111/itor.13098

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