| Title |
Is there room for containing healthcare costs? An analysis of regional spending differentials in Italy
|
|---|---|
| Published in |
HEPAC Health Economics in Prevention and Care, March 2013
|
| DOI | 10.1007/s10198-013-0457-4 |
| Pubmed ID | |
| Authors |
Maura Francese, Marzia Romanelli |
| Abstract |
This work aims at identifying the determinants of health spending differentials among Italian regions and at highlighting potential margins for savings. The analysis exploits a data set for the 21 Italian regions and autonomous provinces starting in the early 1990s and ending in 2006. After controlling for standard healthcare demand indicators, remaining spending differentials are found to be significant, and they appear to be associated with differences in the degree of appropriateness of treatments, health sector supply structure and social capital indicators. In general, higher regional expenditure does not appear to be associated with better reported or perceived quality in health services. In the regions that display poorer performances, inefficiencies appear not to be uniformly distributed among expenditure items. Overall, results suggest that savings could be achieved without reducing the amount of services provided to citizens. This seems particularly important given the expected rise in spending associated with the forecasted demographic developments. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Spain | 1 | 20% |
| Italy | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 13% |
| Researcher | 7 | 13% |
| Student > Ph. D. Student | 7 | 13% |
| Other | 5 | 9% |
| Professor > Associate Professor | 5 | 9% |
| Other | 12 | 22% |
| Unknown | 12 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 10 | 18% |
| Medicine and Dentistry | 9 | 16% |
| Business, Management and Accounting | 7 | 13% |
| Nursing and Health Professions | 6 | 11% |
| Social Sciences | 3 | 5% |
| Other | 3 | 5% |
| Unknown | 17 | 31% |
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 25 February 2014.
All research outputs
#8,474,037
of 25,373,627 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#585
of 1,303 outputs
Outputs of similar age
#71,458
of 210,236 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#11
of 25 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 54% of its peers.
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We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.