Valeurs seuils pour le rapport coût-efficacité en soins de santé - KCE
Valeurs seuils pour le rapport coût-efficacité en soins de santé - KCE
Valeurs seuils pour le rapport coût-efficacité en soins de santé - KCE
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58 ICER Thresholds <strong>KCE</strong> Reports 100<br />
(= an implied ICER threshold, ref<strong>le</strong>cting the absolute maximum society is willing to pay<br />
for an additional QALY or LYG). It will moreover familiarize policy makers with the<br />
ICER ev<strong>en</strong> if they do not wish to give a high weight to the ICER in <strong>de</strong>cisions about<br />
specific technologies. This will ev<strong>en</strong>tually <strong>le</strong>ad to a refer<strong>en</strong>ce set in the minds of health<br />
care policy makers, against which they can value the ICER of new interv<strong>en</strong>tions. This is<br />
obviously a long-term and gradual process.<br />
4.3 HEALTH CARE DECISION MAKING CONTEXTS<br />
This report also briefly discussed the use of economic evaluations in health care<br />
<strong>de</strong>cision making. The most important insight from this overview is that <strong>de</strong>cision making<br />
processes cannot be reduced to a purely technocratic and rational assessm<strong>en</strong>t. From a<br />
social justice perspective on <strong>de</strong>cision making, there are good argum<strong>en</strong>ts to pursue to<br />
clarify on and make the argum<strong>en</strong>tative logic more transpar<strong>en</strong>t. More ref<strong>le</strong>ction and<br />
rationality in health care <strong>de</strong>cision making is certainly worth pursuing. The princip<strong>le</strong> that<br />
<strong>de</strong>cisions should be substantiated with well docum<strong>en</strong>ted, transpar<strong>en</strong>tly brought sci<strong>en</strong>tific<br />
and other know<strong>le</strong>dge is increasingly accepted.<br />
Health technology assessm<strong>en</strong>t is becoming a very useful methodology to support this<br />
ambition. Economic evaluation is part of any HTA and neg<strong>le</strong>cting economic argum<strong>en</strong>ts<br />
would be unethical. As resources cannot be consumed twice, choices are inevitab<strong>le</strong>.<br />
Consuming health care resources for one interv<strong>en</strong>tion implies d<strong>en</strong>ying these resources<br />
to another interv<strong>en</strong>tion. And precisely these choices need <strong>de</strong>liberation. Besi<strong>de</strong>s<br />
economic and clinical research based argum<strong>en</strong>ts, social justice consi<strong>de</strong>rations remain a<br />
core e<strong>le</strong>m<strong>en</strong>t in the <strong>de</strong>cision making process. The question on the allocation of limited<br />
resources to obtain optimal outcomes is therefore not a technical “neutral” issue but<br />
also an issue of societal values. These values <strong>de</strong>velop within political, social and<br />
economic contexts. The economic effici<strong>en</strong>cy argum<strong>en</strong>t will weigh differ<strong>en</strong>tly in <strong>de</strong>cision<br />
making processes. Economic (technical rational) criteria will be giv<strong>en</strong> another meaning<br />
e.g. according to the health care field (e.g. prev<strong>en</strong>tive, curative, long term care, <strong>en</strong>d-of<br />
life care) or the population addressed with the interv<strong>en</strong>tion (e.g. childr<strong>en</strong>). This is one<br />
of the reasons why <strong>de</strong>cision makers should not so<strong>le</strong>ly rely on seemingly simp<strong>le</strong> tools<br />
such as ICERs and ICER threshold values. In or<strong>de</strong>r to make more optimal use of<br />
economic analyses in health care <strong>de</strong>cision making, researchers and analysts should<br />
become more aware that <strong>de</strong>cisions on the use of health interv<strong>en</strong>tions are likely to be<br />
influ<strong>en</strong>ced by a range of social, financial and institutional factors. Taking better into<br />
account this know<strong>le</strong>dge would bring us closer to the core aims of HTA.<br />
4.4 SUGGESTIONS FOR FURTHER RESEARCH<br />
We need more research on the appropriat<strong>en</strong>ess of the theoretical foundations of the<br />
ICER and ICER threshold value for differ<strong>en</strong>t health care systems. In particular, the<br />
differ<strong>en</strong>ce betwe<strong>en</strong> social security-based systems and NHS-based systems is re<strong>le</strong>vant for<br />
at <strong>le</strong>ast two reasons: on the one hand the budgetary context (fixed or f<strong>le</strong>xib<strong>le</strong>), on the<br />
other hand the characteristics of the <strong>de</strong>cision making processes. The literature<br />
curr<strong>en</strong>tly relies on the assumption of a universally applicab<strong>le</strong> theory of CEA, but<br />
argum<strong>en</strong>ts can be ma<strong>de</strong> in favour of a more context-s<strong>en</strong>sitive analysis:<br />
• First, much of the literature on ICERs and ICER threshold values implicitly<br />
assumes a Beveridge-type health care mo<strong>de</strong>l or -if not- simply ignores the<br />
specificities of the health care system. Health care systems do for instance<br />
not all operate within a fixed budget approach (e.g. we argued why a fixed<br />
ICER threshold value is incompatib<strong>le</strong> with a fixed budget (a NHS-based<br />
system) and why it would be more, yet not comp<strong>le</strong>tely, compatib<strong>le</strong> with a<br />
social security system). We need further theoretical and methodological<br />
elaboration of CEA taking the health care system characteristics into<br />
account.