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Perceived Healthcare Quality, Patient Satisfaction, and Loyalty in Egypt’s Health Insurance Organization: A Multivariate Analysis
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ABSTRACT
Background
Patient satisfaction and loyalty are key indicators of healthcare quality and are influenced by multiple service domains. Understanding which aspects of care drive these outcomes is essential for Health Insurance Organization (HIO) hospitals aiming to improve patient experience.
Methods
An analytical cross-sectional study was conducted across four hospitals in Alexandria, Egypt. A total of 983 patients were recruited using stratified random sampling from various hospital departments. Data was collected through structured face-to-face interviews using a validated Arabic National Patient Satisfaction Survey covering eight healthcare quality domains. Multivariate linear regression models were fitted to assess the impact of these domains on patient satisfaction and loyalty. Mediation analysis examined the indirect effect of satisfaction on the relationship between quality and loyalty.
Results
The regression model significantly predicted patient satisfaction (Adjusted R² = 0.573, F(8, 974) = 165.93, p < 0.001), with Information, Empathy, and Organization emerging as the strongest predictors. All eight service quality dimensions contributed positively, and no multicollinearity issues were detected. The hierarchical model predicting loyalty was significant, explaining 52.5% of the variance in Model 1 and increasing to 64.8% after adding satisfaction (F(9, 973) = 198.59, p < 0.001). Patient satisfaction became the dominant predictor of loyalty, and the effect of Transition became non-significant once satisfaction was included, indicating full mediation. Overall, satisfaction mediated the relationship between service quality and loyalty, substantially strengthening predictive power.
Conclusion
Effective communication, clinical competency, organizational consistency, and responsive care are central drivers of patient satisfaction and loyalty in HIO hospitals. Enhancing these domains may improve patient retention and overall healthcare experiences.
Study highlights
Provides actionable priorities for clinicians and managers, showing that improving communication, empathy, and care organization yields the largest gains in patient satisfaction.
Identifies system-level gaps (waiting times, discharge transition, payment processes) that hospital managers and policymakers can directly target for quality improvement.
Demonstrates that patient satisfaction is the main driver of loyalty, informing policy decisions on where investments will have the greatest impact.
Uses a large, multicenter sample and validated tool, offering reliable, generalizable evidence to guide HIO performance monitoring and reform.
Title: Perceived Healthcare Quality, Patient Satisfaction, and Loyalty in Egypt’s Health Insurance Organization: A Multivariate Analysis
Description:
ABSTRACT
Background
Patient satisfaction and loyalty are key indicators of healthcare quality and are influenced by multiple service domains.
Understanding which aspects of care drive these outcomes is essential for Health Insurance Organization (HIO) hospitals aiming to improve patient experience.
Methods
An analytical cross-sectional study was conducted across four hospitals in Alexandria, Egypt.
A total of 983 patients were recruited using stratified random sampling from various hospital departments.
Data was collected through structured face-to-face interviews using a validated Arabic National Patient Satisfaction Survey covering eight healthcare quality domains.
Multivariate linear regression models were fitted to assess the impact of these domains on patient satisfaction and loyalty.
Mediation analysis examined the indirect effect of satisfaction on the relationship between quality and loyalty.
Results
The regression model significantly predicted patient satisfaction (Adjusted R² = 0.
573, F(8, 974) = 165.
93, p < 0.
001), with Information, Empathy, and Organization emerging as the strongest predictors.
All eight service quality dimensions contributed positively, and no multicollinearity issues were detected.
The hierarchical model predicting loyalty was significant, explaining 52.
5% of the variance in Model 1 and increasing to 64.
8% after adding satisfaction (F(9, 973) = 198.
59, p < 0.
001).
Patient satisfaction became the dominant predictor of loyalty, and the effect of Transition became non-significant once satisfaction was included, indicating full mediation.
Overall, satisfaction mediated the relationship between service quality and loyalty, substantially strengthening predictive power.
Conclusion
Effective communication, clinical competency, organizational consistency, and responsive care are central drivers of patient satisfaction and loyalty in HIO hospitals.
Enhancing these domains may improve patient retention and overall healthcare experiences.
Study highlights
Provides actionable priorities for clinicians and managers, showing that improving communication, empathy, and care organization yields the largest gains in patient satisfaction.
Identifies system-level gaps (waiting times, discharge transition, payment processes) that hospital managers and policymakers can directly target for quality improvement.
Demonstrates that patient satisfaction is the main driver of loyalty, informing policy decisions on where investments will have the greatest impact.
Uses a large, multicenter sample and validated tool, offering reliable, generalizable evidence to guide HIO performance monitoring and reform.
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