An Investigation and Evaluation of Efficiency in Primary and Secondary Healthcare System of India Using DEA

Qaiser Farooq Dar (), Gulbadin Farooq Dar () and Ashiq Hussain Bhat ()
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Qaiser Farooq Dar: ICMR-National Institute of Virology
Gulbadin Farooq Dar: St Joseph’s University
Ashiq Hussain Bhat: ICMR Rajendra Memorial Research Institute of Medical Sciences

A chapter in Advances in the Theory and Practice of Data Envelopment Analysis, 2025, pp 366-377 from Springer

Abstract: Abstract The rising costs of public healthcare have made efficient operation increasingly important. Evidence-based evaluations are essential for policymakers. Assessing efficiency in primary and secondary care systems is complex due to multiple input and output indicators. Data Envelopment Analysis (DEA), a non-parametric method, is used to evaluate the relative efficiency of healthcare facilities, considering inputs like financial, human, infrastructure, and material resources, and outputs such as clinical outcomes, service efficiency, patient satisfaction, and access to care. Using secondary data from healthcare centers across India, both input- and output-oriented DEA models were applied. Results showed significant variability in efficiency, with benchmarks identified for improvement. Key determinants of efficiency include financial management, staffing, and infrastructure quality. The study offers policy recommendations to enhance healthcare delivery and emphasizes the need for continuous efficiency monitoring.

Keywords: Data Envelopments Analysis; Slack-Based Measure (SBM); Public Healthcare Efficiency (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-031-98177-7_25

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