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Equity in HTA: what doesn’t get measured, gets marginalised

Overview of attention for article published in Israel Journal of Health Policy Research, July 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#38 of 585)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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Title
Equity in HTA: what doesn’t get measured, gets marginalised
Published in
Israel Journal of Health Policy Research, July 2017
DOI 10.1186/s13584-017-0162-3
Pubmed ID
Authors

Richard Cookson, Andrew J. Mirelman

Abstract

When making recommendations about the public funding of new health technologies, policy makers typically pay close attention to quantitative evidence about the comparative effectiveness, cost effectiveness and budget impact of those technologies - what we might call "efficiency" criteria. Less attention is paid, however, to quantitative evidence about who gains and who loses from these public expenditure decisions, and whether those who gain are better or worse off than the rest of the population in terms of their health - what we might call "equity" criteria. Two studies recently published in this journal by Shmueli and colleagues suggest that this efficiency-oriented imbalance in the use of quantitative evidence may have unfortunate consequences - as the old adage goes: "what gets measured, gets done". The first study, by Shmueli, Golan, Paolucci and Mentzakis, found that health policy makers in Israel think equity considerations are just as important as efficiency considerations - at least when it comes to making hypothetical technology funding decisions in a survey. By contrast, the second study - by Shmueli alone - found that efficiency rules the roost when it comes to making real decisions about health technology funding in Israel. Both studies have limitations and potential biases, and more research is needed using qualitative methods and more nuanced survey designs to determine precisely which kinds of equity consideration decision makers think are most important and why these considerations do not appear to be given much weight in decision making. However, the basic overall finding from the two studies seems plausible and important. It suggests that health technology funding bodies need to pay closer attention to equity considerations, and to start making equity a quantitative endpoint of health technology assessment using the methods of equity-informative economic evaluation that are now available.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Ph. D. Student 7 14%
Student > Master 6 12%
Student > Bachelor 4 8%
Librarian 3 6%
Other 8 16%
Unknown 13 26%
Readers by discipline Count As %
Medicine and Dentistry 10 20%
Economics, Econometrics and Finance 8 16%
Nursing and Health Professions 4 8%
Social Sciences 4 8%
Psychology 2 4%
Other 9 18%
Unknown 13 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 26 September 2017.
All research outputs
#2,170,923
of 23,211,181 outputs
Outputs from Israel Journal of Health Policy Research
#38
of 585 outputs
Outputs of similar age
#43,137
of 312,987 outputs
Outputs of similar age from Israel Journal of Health Policy Research
#2
of 19 outputs
Altmetric has tracked 23,211,181 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 585 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 93% 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 312,987 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 86% of its contemporaries.
We're also able to compare this research output to 19 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 94% of its contemporaries.