Geographical variation in the use of private health insurance in a predominantly publicly-funded system

Marianna Cavazza, Mario Del Vecchio, Giovanni Fattore and Lorenzo Fenech

Health Policy, 2023, vol. 130, issue C

Abstract: We provide evidence of geographical variations in the use of private health insurance (PHI) in Italy. Our study offers an original contribution, using a 2016 dataset on the use of PHI amongst a population of more than 200,000 employees of a major company. The average claim per enrolee was €925, representing approximately 50% of public health expenditure per capita, primarily for dental care (27.2%), specialist outpatient services (26.3%) and inpatient care (25.2%). Residents in northern regions and metropolitan areas respectively claimed reimbursements for €164 and €483 more than those in southern regions and in non-metropolitan areas. Both supply and demand factors can explain these large geographical differences. The study suggests the urgency for policymakers to address the considerable disparities in the Italian healthcare system, revealing the overall social, cultural and economic conditions that shape the demand for healthcare.

Keywords: Private health insurance; Italy; National health service; Geographical inequalities (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0168851023000374
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:hepoli:v:130:y:2023:i:c:s0168851023000374

DOI: 10.1016/j.healthpol.2023.104720

Access Statistics for this article

Health Policy is currently edited by Katrien Kesteloot, Mia Defever and Irina Cleemput

More articles in Health Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu () and ().