| Title |
Examining variations in hospital productivity in the English NHS
|
|---|---|
| Published in |
HEPAC Health Economics in Prevention and Care, February 2014
|
| DOI | 10.1007/s10198-014-0569-5 |
| Pubmed ID | |
| Authors |
Adriana Castelli, Andrew Street, Rossella Verzulli, Padraic Ward |
| Abstract |
Numerous papers have measured hospital efficiency, mainly using a technique known as data envelopment analysis (DEA). A shortcoming of this technique is that the number of outputs for each hospital generally outstrips the number of hospitals. In this paper, we propose an alternative approach, involving the use of explicit weights to combine diverse outputs into a single index, thereby avoiding the need for DEA. |
X Demographics
The data shown below were collected from the profiles of 20 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 Kingdom | 9 | 45% |
| Germany | 1 | 5% |
| Spain | 1 | 5% |
| Italy | 1 | 5% |
| United States | 1 | 5% |
| Unknown | 7 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 80% |
| Practitioners (doctors, other healthcare professionals) | 2 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Unknown | 112 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 19% |
| Researcher | 17 | 15% |
| Student > Ph. D. Student | 11 | 10% |
| Student > Doctoral Student | 9 | 8% |
| Professor > Associate Professor | 5 | 4% |
| Other | 24 | 21% |
| Unknown | 25 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 24 | 21% |
| Medicine and Dentistry | 18 | 16% |
| Business, Management and Accounting | 9 | 8% |
| Nursing and Health Professions | 9 | 8% |
| Social Sciences | 6 | 5% |
| Other | 15 | 13% |
| Unknown | 32 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 10 July 2023.
All research outputs
#1,906,200
of 25,374,917 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#71
of 1,303 outputs
Outputs of similar age
#18,783
of 234,810 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#3
of 34 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 done particularly well, scoring higher than 94% 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 234,810 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.