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

Overview of attention for article published in Applied Health Economics and Health Policy, August 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

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5 X users
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Citations

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30 Dimensions

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37 Mendeley
Title
Health Expenditure and All-Cause Mortality in the ‘Galaxy’ of Italian Regional Healthcare Systems: A 15-Year Panel Data Analysis
Published in
Applied Health Economics and Health Policy, August 2017
DOI 10.1007/s40258-017-0342-x
Pubmed ID
Authors

Davide Golinelli, Fabrizio Toscano, Andrea Bucci, Jacopo Lenzi, Maria Pia Fantini, Nicola Nante, Gabriele Messina

Abstract

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. 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. 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. Higher spending on DPS was associated with a lower MR. Other expenditure variables were not significantly associated with the MR. 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 16%
Professor > Associate Professor 4 11%
Professor 3 8%
Student > Master 3 8%
Student > Doctoral Student 2 5%
Other 8 22%
Unknown 11 30%
Readers by discipline Count As %
Medicine and Dentistry 8 22%
Nursing and Health Professions 4 11%
Economics, Econometrics and Finance 4 11%
Business, Management and Accounting 3 8%
Social Sciences 2 5%
Other 1 3%
Unknown 15 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 September 2023.
All research outputs
#7,026,344
of 22,999,744 outputs
Outputs from Applied Health Economics and Health Policy
#310
of 784 outputs
Outputs of similar age
#111,498
of 317,628 outputs
Outputs of similar age from Applied Health Economics and Health Policy
#7
of 15 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 784 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has gotten more attention than average, scoring higher than 57% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,628 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.