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Related Experiment Video

Updated: Jul 17, 2026

How Virtual Celebrity Characteristics Drive Purchase Intention: Testing the Stimulus-Organism-Response Framework with Structural Equation Modeling
07:35

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Published on: March 3, 2026

Factors affecting inpatient satisfaction: structural equation modeling.

Bayram Sahin1, Fatma Yilmaz, Keon-Hyung Lee

  • 1Department of Healthcare Management, Faculty of Economy and Administrative Sciences, Hacettepe University, 06100 Ankara, Turkey. baysahin@hacettepe.edu.tr

Journal of Medical Systems
|February 8, 2007
PubMed
Summary

Patient satisfaction is influenced by education level and clinic type. Higher education correlated with lower satisfaction, while surgical patients reported higher satisfaction. These factors significantly impact patient experience.

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Last Updated: Jul 17, 2026

How Virtual Celebrity Characteristics Drive Purchase Intention: Testing the Stimulus-Organism-Response Framework with Structural Equation Modeling
07:35

How Virtual Celebrity Characteristics Drive Purchase Intention: Testing the Stimulus-Organism-Response Framework with Structural Equation Modeling

Published on: March 3, 2026

Area of Science:

  • Healthcare Management
  • Patient Experience Research

Background:

  • Patient satisfaction is a critical indicator of healthcare quality.
  • Understanding factors influencing satisfaction is essential for improving services.

Purpose of the Study:

  • To identify key factors affecting patient satisfaction in a hospital setting.
  • To analyze the influence of patient characteristics on satisfaction levels.

Main Methods:

  • A survey questionnaire with 22 items across five dimensions was administered to 302 inpatients.
  • Factor analysis grouped satisfaction questions, and structural equation modeling (SEM) assessed influencing variables.

Main Results:

  • The questionnaire demonstrated appropriate reliability and validity.
  • SEM analysis revealed that education level and clinic type (surgical vs. non-surgical) significantly impacted patient satisfaction.
  • Higher education levels were associated with lower satisfaction, whereas surgical patients reported greater satisfaction.

Conclusions:

  • Patient education level and clinic type are significant determinants of patient satisfaction.
  • Findings suggest targeted interventions may be needed to address satisfaction disparities.