Skip to main content
Top
Published in: Israel Journal of Health Policy Research 1/2017

Open Access 01-12-2017 | Commentary

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

Authors: Richard Cookson, Andrew J. Mirelman

Published in: Israel Journal of Health Policy Research | Issue 1/2017

Login to get access

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.
Literature
1.
go back to reference Daniels N, Porteny T, Urritia J. Expanded HTA: enhancing fairness and legitimacy. Int J Health Policy Manag. 2016;5(1):1–3.CrossRef Daniels N, Porteny T, Urritia J. Expanded HTA: enhancing fairness and legitimacy. Int J Health Policy Manag. 2016;5(1):1–3.CrossRef
2.
go back to reference Horton R. Offline: the error of our health technology assessment ways. Lancet. 2013;382(9901):1318.CrossRef Horton R. Offline: the error of our health technology assessment ways. Lancet. 2013;382(9901):1318.CrossRef
4.
go back to reference Cookson R. Equity-informative health technology assessment – a commentary on Ngalesoni, Ruhago, Mori, Robberstad & Norheim. Soc Sci Med. 2016;170:218–9.CrossRef Cookson R. Equity-informative health technology assessment – a commentary on Ngalesoni, Ruhago, Mori, Robberstad & Norheim. Soc Sci Med. 2016;170:218–9.CrossRef
5.
6.
go back to reference Shmueli A. Do the equity-efficiency preferences of the Israeli Basket committee match those of Israeli health policy makers? Isr J Health Policy Res. 2017;6:20.CrossRefPubMedPubMedCentral Shmueli A. Do the equity-efficiency preferences of the Israeli Basket committee match those of Israeli health policy makers? Isr J Health Policy Res. 2017;6:20.CrossRefPubMedPubMedCentral
7.
go back to reference Mirelman A, et al. Decision-making criteria among national policymakers in five countries: a discrete choice experiment eliciting relative preferences for equity and efficiency. Value Health. 2012;15(3):534–9.CrossRefPubMed Mirelman A, et al. Decision-making criteria among national policymakers in five countries: a discrete choice experiment eliciting relative preferences for equity and efficiency. Value Health. 2012;15(3):534–9.CrossRefPubMed
8.
go back to reference Dakin H, et al. The influence of cost-effectiveness and other factors on Nice decisions. Health Econ. 2015;24(10):1256–71. Dakin H, et al. The influence of cost-effectiveness and other factors on Nice decisions. Health Econ. 2015;24(10):1256–71.
9.
go back to reference Ottersen T, et al. A new proposal for priority setting in Norway: open and fair. Health Policy. 2016;120(3):246–51.CrossRefPubMed Ottersen T, et al. A new proposal for priority setting in Norway: open and fair. Health Policy. 2016;120(3):246–51.CrossRefPubMed
10.
go back to reference Van de Wetering E, et al. Balancing equity and efficiency in the Dutch basic benefits package using the principle of proportional shortfall. Eur J Health Econ. 2013;14(1):107–15.CrossRefPubMed Van de Wetering E, et al. Balancing equity and efficiency in the Dutch basic benefits package using the principle of proportional shortfall. Eur J Health Econ. 2013;14(1):107–15.CrossRefPubMed
11.
go back to reference Asaria M, et al. Distributional cost-effectiveness analysis of health care programmes--a methodological case study of the UK bowel cancer screening Programme. Health Econ. 2015;24(6):742–54.CrossRefPubMed Asaria M, et al. Distributional cost-effectiveness analysis of health care programmes--a methodological case study of the UK bowel cancer screening Programme. Health Econ. 2015;24(6):742–54.CrossRefPubMed
Metadata
Title
Equity in HTA: what doesn’t get measured, gets marginalised
Authors
Richard Cookson
Andrew J. Mirelman
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Israel Journal of Health Policy Research / Issue 1/2017
Electronic ISSN: 2045-4015
DOI
https://doi.org/10.1186/s13584-017-0162-3

Other articles of this Issue 1/2017

Israel Journal of Health Policy Research 1/2017 Go to the issue