The aim of this study is to assess the impact of healthcare efficiency on the mortality rate of elderly people aged 65 and 75 years old and over. To do this, we estimate a dynamic panel data model using the system generalised method of moments (SYS-GMM) on 106 Italian provinces over the period 2012-2019. To measure the efficiency index in the health sector, we apply the Data Envelopment Analysis (DEA) method. We also calculate the index via a bootstrap DEA method for robustness checks. Our results show that, on average, a 10% increase in healthcare efficiency at the Italian provincial level reduces the mortality rate of older adults by approximately 2% to 3%. Improving healthcare efficiency is crucial in enhancing the health services for the elderly and reduce mortality for this age group. Our findings could be helpful to policymakers in adopting measures that aim to increase healthcare efficiency, taking into account the specific needs of an aging population.

Healthcare Efficiency and Elderly Mortality in Italy

Yebetchou Tchounkeu, Rostand Arland
;
2024-01-01

Abstract

The aim of this study is to assess the impact of healthcare efficiency on the mortality rate of elderly people aged 65 and 75 years old and over. To do this, we estimate a dynamic panel data model using the system generalised method of moments (SYS-GMM) on 106 Italian provinces over the period 2012-2019. To measure the efficiency index in the health sector, we apply the Data Envelopment Analysis (DEA) method. We also calculate the index via a bootstrap DEA method for robustness checks. Our results show that, on average, a 10% increase in healthcare efficiency at the Italian provincial level reduces the mortality rate of older adults by approximately 2% to 3%. Improving healthcare efficiency is crucial in enhancing the health services for the elderly and reduce mortality for this age group. Our findings could be helpful to policymakers in adopting measures that aim to increase healthcare efficiency, taking into account the specific needs of an aging population.
File in questo prodotto:
File Dimensione Formato  
485Quadip.pdf

file disponibile solo agli amministratori

Licenza: DRM non definito
Dimensione 430.6 kB
Formato Adobe PDF
430.6 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11579/195042
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact