Measuring and Assessing the Healthcare Services Experience: A Proposal of a Synthetic Index

ABSTRACT The evaluation of healthcare services is a crucial aspect of public health management, as it provides insights into service effectiveness, efficiency, and user satisfaction. This paper proposes a multidimensional approach to measuring healthcare service experience by constructing a synthetic index that incorporates three key perceptual dimensions: Cost, accessibility, and quality. These latent constructs are measured using a set of elementary indicators from the European Quality of Life Survey. To develop the dimensional synthetic indices—one for each experience dimension—as well as the overall experience index and the customer satisfaction index, we employ Partial Least Squares Path Modeling (PLS‐PM). This approach not only enables the synthesis of latent variables but also allows for the analysis of structural relationships between them. The results provide a comprehensive framework for assessing healthcare service experiences and offer valuable insights for policymakers and service providers aiming to enhance healthcare quality and accessibility while improving user satisfaction.

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Publication Details

Journal
Applied Stochastic Models in Business and Industry
Published
2025-12-30
DOI
https://doi.org/10.1002/asmb.70065
Primary Topic
Customer Service Quality and Loyalty
Type
article
Field-Weighted Citation Impact
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article

Measuring and Assessing the Healthcare Services Experience: A Proposal of a Synthetic Index

Leonardo Salvatore Alaimo, Filomena Maggino
Applied Stochastic Models in Business and Industry
Customer Service Quality and Loyalty
article

Measuring and Assessing the Healthcare Services Experience: A Proposal of a Synthetic Index

Leonardo Salvatore Alaimo, Filomena Maggino
article en

Abstract

ABSTRACT The evaluation of healthcare services is a crucial aspect of public health management, as it provides insights into service effectiveness, efficiency, and user satisfaction. This paper proposes a multidimensional approach to measuring healthcare service experience by constructing a synthetic index that incorporates three key perceptual dimensions: Cost, accessibility, and quality. These latent constructs are measured using a set of elementary indicators from the European Quality of Life Survey. To develop the dimensional synthetic indices—one for each experience dimension—as well as the overall experience index and the customer satisfaction index, we employ Partial Least Squares Path Modeling (PLS‐PM). This approach not only enables the synthesis of latent variables but also allows for the analysis of structural relationships between them. The results provide a comprehensive framework for assessing healthcare service experiences and offer valuable insights for policymakers and service providers aiming to enhance healthcare quality and accessibility while improving user satisfaction.

Applied Stochastic Models in Business and IndustryVol. 42(1)
Sapienza University of Rome (IT)
Openalex Percentile: Top 23%
Customer Service Quality and Loyalty
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