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

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 atten...

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Autores principales: Cookson, Richard, Mirelman, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5502411/
https://www.ncbi.nlm.nih.gov/pubmed/28694961
http://dx.doi.org/10.1186/s13584-017-0162-3
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author Cookson, Richard
Mirelman, Andrew J.
author_facet Cookson, Richard
Mirelman, Andrew J.
author_sort Cookson, Richard
collection PubMed
description 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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spelling pubmed-55024112017-07-10 Equity in HTA: what doesn’t get measured, gets marginalised Cookson, Richard Mirelman, Andrew J. Isr J Health Policy Res Commentary 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. BioMed Central 2017-07-10 /pmc/articles/PMC5502411/ /pubmed/28694961 http://dx.doi.org/10.1186/s13584-017-0162-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Commentary
Cookson, Richard
Mirelman, Andrew J.
Equity in HTA: what doesn’t get measured, gets marginalised
title Equity in HTA: what doesn’t get measured, gets marginalised
title_full Equity in HTA: what doesn’t get measured, gets marginalised
title_fullStr Equity in HTA: what doesn’t get measured, gets marginalised
title_full_unstemmed Equity in HTA: what doesn’t get measured, gets marginalised
title_short Equity in HTA: what doesn’t get measured, gets marginalised
title_sort equity in hta: what doesn’t get measured, gets marginalised
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5502411/
https://www.ncbi.nlm.nih.gov/pubmed/28694961
http://dx.doi.org/10.1186/s13584-017-0162-3
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