The evaluation of hospital performance ensures optimal quality of care, identifies areas for improvement and ensures efficient allocation of resources. It is a major issue in Burkina Faso’s health system, where resources are limited, and population needs for health care are increasing. This paper proposes a combined approach using principal component analysis (PCA) and data envelopment analysis (DEA) to assess and compare the performance of hospitals in Burkina Faso. This methodology allows to reduce the dimensionality of hospital data while evaluating their relative efficiencies. Through the case study of regional hospitals from 2016 to 2022, this analysis reveals key performance factors and offers recommendations for improving resource allocation and efficiency of health services in the country.

hospital performance, principal component analysis, data envelopment analysis, efficiency, Burkina Faso, resource optimization.

Received: November 16, 2024; Revised: January 23, 2025; Accepted: February 14, 2025; Published: March 4, 2025

How to cite this article: Moumouni Zongo, Wendpanga Jacob Yougbaré and Tallo Danai, Evaluation of hospital performance in Burkina Faso by a combined approach of principal component analysis (PCA) and data envelopment analysis (DEA), Advances and Applications in Discrete Mathematics 42(3) (2025), 285-302. https://doi.org/10.17654/0974165825019

This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License

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