Title |
Improving Cross-Sector Comparisons: Going Beyond the Health-Related QALY
|
---|---|
Published in |
Applied Health Economics and Health Policy, September 2015
|
DOI | 10.1007/s40258-015-0194-1 |
Pubmed ID | |
Authors |
John Brazier, Aki Tsuchiya |
Abstract |
The quality-adjusted life-year (QALY) has become a widely used measure of health outcomes for use in informing decision making in health technology assessment. However, there is growing recognition of outcomes beyond health within the health sector and in related sectors such as social care and public health. This paper presents the advantages and disadvantages of ten possible approaches covering extending the health-related QALY and using well-being and monetary-based methods, in order to address the problem of using multiple outcome measures to inform resource allocation within and between sectors. |
X Demographics
The data shown below were collected from the profiles of 45 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 | 20 | 44% |
Australia | 4 | 9% |
Chile | 2 | 4% |
New Zealand | 2 | 4% |
Ireland | 2 | 4% |
Canada | 1 | 2% |
Spain | 1 | 2% |
Unknown | 13 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 31 | 69% |
Scientists | 8 | 18% |
Science communicators (journalists, bloggers, editors) | 3 | 7% |
Practitioners (doctors, other healthcare professionals) | 3 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 2% |
Canada | 1 | <1% |
Unknown | 102 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 17% |
Student > Master | 14 | 13% |
Student > Ph. D. Student | 13 | 12% |
Student > Bachelor | 8 | 8% |
Lecturer | 5 | 5% |
Other | 14 | 13% |
Unknown | 33 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 17% |
Economics, Econometrics and Finance | 14 | 13% |
Social Sciences | 10 | 10% |
Nursing and Health Professions | 7 | 7% |
Psychology | 5 | 5% |
Other | 15 | 14% |
Unknown | 36 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 29 October 2018.
All research outputs
#1,000,299
of 23,509,982 outputs
Outputs from Applied Health Economics and Health Policy
#26
of 794 outputs
Outputs of similar age
#14,457
of 268,178 outputs
Outputs of similar age from Applied Health Economics and Health Policy
#2
of 16 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 794 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done particularly well, scoring higher than 97% of its peers.
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We're also able to compare this research output to 16 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 93% of its contemporaries.