↓ Skip to main content

Measuring recession severity and its impact on healthcare expenditure

Overview of attention for article published in International Journal of Health Economics and Management, February 2013
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

policy
2 policy sources
twitter
1 X user

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
92 Mendeley
Title
Measuring recession severity and its impact on healthcare expenditure
Published in
International Journal of Health Economics and Management, February 2013
DOI 10.1007/s10754-012-9121-2
Pubmed ID
Authors

Conor Keegan, Steve Thomas, Charles Normand, Conceição Portela

Abstract

The financial crisis that manifested itself in late 2007 resulted in a Europe-wide economic crisis by 2009. As the economic climate worsened, Governments and households were put under increased strain and more focus was placed on prioritising expenditures. Across European countries and their heterogeneous health care systems, this paper examines the initial responsiveness of health expenditures to the crisis and whether recession severity can be considered a predictor of health expenditure growth. In measuring severity we move away from solely gross domestic product (GDP) as a metric and construct a recession severity index predicated on a number of key macroeconomic indicators. We then regress this index on measures of total, public and private health expenditure to identify potential relationships. Analysis suggests that for 2009, the Baltic States, along with Ireland, Italy and Greece, experienced comparatively severe recessions. We find, overall, an initial counter-cyclical response in health spending (both public and private) across countries. However, our analysis finds evidence of a negative relationship between recession severity and changes in certain health expenditures. As a predictor of health expenditure growth in 2009, the derived index is an improvement over GDP change alone.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Brazil 1 1%
Unknown 90 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 16%
Student > Master 15 16%
Researcher 14 15%
Student > Bachelor 12 13%
Professor 5 5%
Other 17 18%
Unknown 14 15%
Readers by discipline Count As %
Medicine and Dentistry 19 21%
Economics, Econometrics and Finance 17 18%
Business, Management and Accounting 12 13%
Social Sciences 11 12%
Nursing and Health Professions 6 7%
Other 7 8%
Unknown 20 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 17 June 2020.
All research outputs
#5,307,749
of 26,017,215 outputs
Outputs from International Journal of Health Economics and Management
#67
of 280 outputs
Outputs of similar age
#41,635
of 208,315 outputs
Outputs of similar age from International Journal of Health Economics and Management
#1
of 3 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 280 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 76% 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 208,315 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them