There is misunderstanding about both the meaning and the role of cost-effectiveness thresholds in policy decision making. This article dissects the main issues by use of a bookshelf metaphor. Its main conclusions are these: It must be possible to compare interventions in terms of their impact on a common measure of health. Mere effectiveness is not a persuasive case for inclusion in public insurance plans. Public health advocates need to address issues of relative effectiveness. A ‘first best’ benchmark or threshold ratio of health gain to expenditure identifies the least effective intervention that should be included in a public insurance plan. The reciprocal of this ratio – the ‘first best’ cost-effectiveness threshold – will rise or...
In many health decision making situations there is a requirement that the effectiveness of intervent...
It has been suggested that scepticism among decision-makers about using cost-effectiveness analysis ...
Healthcare cost-effectiveness analysis is increasingly used to inform priority-setting in low- and m...
There is misunderstanding about both the meaning and the role of cost-effectiveness thresholds in po...
Cost-effectiveness analysis is used to compare the costs and outcomes of alternative policy options....
Cost-effectiveness (CE) thresholds are being discussed more frequently and there have been many new ...
This article focuses on three challenges concerning the use of cost-effectiveness thresholds to info...
We review the foundations of resource allocation rules based on cost-effectiveness information. Comp...
<p><b>Introduction</b>: Cost-effectiveness thresholds (CETs) are used to judge if an intervention re...
Background: Cost-effectiveness analysis involves the comparison of the incremental cost-effectivenes...
BACKGROUND: The amount a government should be willing to invest in adopting new medical treatments h...
Background: The amount a government should be willing to invest in adopting new medical treatments h...
There is growing interest in cost-effectiveness thresholds as a tool to inform resource allocation d...
p. 71-76BACKGROUND: In many countries, the incremental cost-effectiveness ratio (ICER) is used to as...
In the past few years, empirical estimates of the marginal cost at which health care produces a qual...
In many health decision making situations there is a requirement that the effectiveness of intervent...
It has been suggested that scepticism among decision-makers about using cost-effectiveness analysis ...
Healthcare cost-effectiveness analysis is increasingly used to inform priority-setting in low- and m...
There is misunderstanding about both the meaning and the role of cost-effectiveness thresholds in po...
Cost-effectiveness analysis is used to compare the costs and outcomes of alternative policy options....
Cost-effectiveness (CE) thresholds are being discussed more frequently and there have been many new ...
This article focuses on three challenges concerning the use of cost-effectiveness thresholds to info...
We review the foundations of resource allocation rules based on cost-effectiveness information. Comp...
<p><b>Introduction</b>: Cost-effectiveness thresholds (CETs) are used to judge if an intervention re...
Background: Cost-effectiveness analysis involves the comparison of the incremental cost-effectivenes...
BACKGROUND: The amount a government should be willing to invest in adopting new medical treatments h...
Background: The amount a government should be willing to invest in adopting new medical treatments h...
There is growing interest in cost-effectiveness thresholds as a tool to inform resource allocation d...
p. 71-76BACKGROUND: In many countries, the incremental cost-effectiveness ratio (ICER) is used to as...
In the past few years, empirical estimates of the marginal cost at which health care produces a qual...
In many health decision making situations there is a requirement that the effectiveness of intervent...
It has been suggested that scepticism among decision-makers about using cost-effectiveness analysis ...
Healthcare cost-effectiveness analysis is increasingly used to inform priority-setting in low- and m...