Literature DB >> 28828741

Health Expenditure and All-Cause Mortality in the 'Galaxy' of Italian Regional Healthcare Systems: A 15-Year Panel Data Analysis.

Davide Golinelli1,2, Fabrizio Toscano3, Andrea Bucci4, Jacopo Lenzi2, Maria Pia Fantini2, Nicola Nante5, Gabriele Messina5.   

Abstract

BACKGROUND: The sustainability of healthcare systems is a topic of major interest. During periods of economic instability, policy makers typically reallocate resources and execute linear cuts in different areas of public spending, including healthcare.
OBJECTIVES: The aim of this paper was to examine whether and how per capita public healthcare expenditure (PHE) in the Italian regions was related to the all-cause mortality rate (MR) between 1999 and 2013 and to determine which expenditure item most affected mortality in the short and very short term.
METHODS: We conducted a pooled cross-sectional time series study. Secondary data were extracted from 'Health for All', a database released periodically by the Italian National Institute of Statistics. PHE is subdivided into directly provided services (DPS), pharmaceutical care, general practitioner care, specialist medical care, privately delivered hospital care, other privately delivered medical services, and psychiatric support and rehabilitation. We used a fixed-effects regression to assess the effects of PHE items on the MR after controlling for a number of socioeconomic and supply variables.
RESULTS: Higher spending on DPS was associated with a lower MR. Other expenditure variables were not significantly associated with the MR.
CONCLUSIONS: The results highlight the importance of medical services and goods provided directly by public services (i.e. hospital-based general and specialized wards and offices, emergency departments, etc.). DPS represents the driving force of the system and should be considered a determinant of the health of the Italian population. Our results suggest that the context and financing methods of a healthcare system should be carefully analysed before linear cuts are made or resources are reallocated.

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Year:  2017        PMID: 28828741     DOI: 10.1007/s40258-017-0342-x

Source DB:  PubMed          Journal:  Appl Health Econ Health Policy        ISSN: 1175-5652            Impact factor:   2.561


  9 in total

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