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Hospital resilience: public versus private sector dynamics

This paper evaluates the recovery of elective admissions in Italian hospitals following the disruptions caused by the COVID-19 pandemic, with a particular focus on the dynamics between the public and private healthcare sectors. Employing a recovery metric that compares elective admission volumes in 2021 and 2022 to pre-pandemic levels, we observe significant regional variability in recovery rates, as well as disparities between public and private hospitals. Our analysis reveals that public hospitals experienced slower recovery rates, and suggests that the proximity of private healthcare providers further hindered their recovery capacity. Higher staffing intensity is positively associated with recovery,while hospitals serving older populations show weaker recovery performance. By quantifying recovery patterns and examining these influencing factors, this study enhances our understanding of healthcare system resilience. The findings highlight critical disparities in recovery across sectors and provide actionable insights for policymakers to improve coordination between public and private providers, thereby strengthening healthcare system preparedness for future crises.

by:

Stefania Fontana Department of Economics and Business, University of Catania, Italy; Health Econometrics and Data Group, University of York, UK

Giovanni Baglio Italian National Agency for Regional Healthcare Services (AGENAS), Rome, Italy

Calogero Guccio Department of Economics and Business, University of Catania; Health Econometrics and Data Group, University of York; Institute for Corruption Studies, Illinois State University

Catia NicodemoOxford University, Oxford, UK; Brunel University London, London, UK

Giacomo Pignataro Department of Economics and Business, University of Catania, Italy; Health Econometrics and Data Group, University of York, UK; Department of Management, Economics and iNDUSTRIAL Engineering, Politecnico Di Milano, Italy

Domenica Romeo Department of Economics and Business, University of Catania, Italy; Health Econometrics and Data Group, University of York, UK.

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