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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Capabilities as menus: A non-welfarist basis for QALY evaluation
|
|---|---|
| Published in |
Journal of Health Economics, October 2012
|
| DOI | 10.1016/j.jhealeco.2012.10.004 |
| Pubmed ID | |
| Authors |
Han Bleichrodt, John Quiggin |
| Abstract |
Quality-Adjusted Life Years (QALYs) are the most widely used measure of health in economic evaluations of health care. Within a welfarist framework QALYs are consistent with people's preferences under stringent assumptions. Several authors have argued that QALYs are a valid measure of health within an extra-welfarist framework. This paper studies the applicability of QALYs within the best-known extra-welfarist framework, Sen's capability approach. We propose a procedure to value capability sets and provide a foundation for QALYs within Sen's capability approach. We show that, under appropriate conditions, the ranking of capabilities can be represented locally by a QALY measure and that a willingness to pay for QALYs can be defined. The validity of QALYs as a general measure of health requires the same stringent conditions as in a welfarist framework. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Colombia | 1 | 2% |
| Italy | 1 | 2% |
| Netherlands | 1 | 2% |
| Canada | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 57 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 22% |
| Researcher | 12 | 19% |
| Student > Ph. D. Student | 11 | 17% |
| Student > Doctoral Student | 5 | 8% |
| Professor | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 18 | 28% |
| Medicine and Dentistry | 9 | 14% |
| Social Sciences | 7 | 11% |
| Agricultural and Biological Sciences | 3 | 5% |
| Arts and Humanities | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 15 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 September 2020.
All research outputs
#16,864,148
of 25,576,801 outputs
Outputs from Journal of Health Economics
#1,961
of 2,104 outputs
Outputs of similar age
#129,952
of 202,491 outputs
Outputs of similar age from Journal of Health Economics
#26
of 30 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,104 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.2. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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 202,491 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.