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PP165 The Resurrection Of The Cost-Minimization Approach In England

Published online by Cambridge University Press:  03 January 2019

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Abstract

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Introduction:

For almost 20 years (1999–2017), the National Institute for Health and Care Excellence (NICE) focused primarily on cost utility analyses (CUA) for its health technology appraisals. This changed on the 01 April 2017, when a new fast track appraisal process was introduced for technologies that offer exceptional value for money. Under this process, a cost-comparison analysis can be included for technologies that are likely to provide similar or greater health benefits at a similar or lower cost to comparator technologies already recommended by NICE. This is in contrast to other jurisdictions (e.g. Scotland and Australia) that have long accepted cost-comparison analyses such as cost-minimization analyses (CMA) when a technology has comparable efficacy to relevant comparators. This research aimed to investigate if this new approach will have an impact on future appraisals

Methods:

Publically available technology appraisal documents from NICE, Scottish Medicines Consortium (SMC), and Pharmaceutical Benefits Advisory Committee (PBAC) were screened (01/01/2016-01/12/2016), and the supportive economic analyses were identified and extracted.

Results:

In 2016, the proportion of CMA submissions that formed the basis of technology appraisals were 0/53 (0 percent), 17/55 (31 percent) and 25/82 (30 percent) for NICE, SMC and PBAC, respectively. The likelihood that a technology was recommended (with or without restrictions) for those technologies that were assessed using a CUA was 60 percent, 66 percent and 33 percent for NICE, SMC and PBAC, respectively, while technologies that were assessed using a CMA were associated with higher positive recommendation rates: 76 percent and 76 percent for SMC and PBAC, respectively.

Conclusions:

Incorporating a cost-minimization approach may result in more technologies being recommended by NICE through the fast track appraisal process, whereby the likelihood of a technology having a positive recommendation is much greater than the standard appraisal process.

Type
Poster Presentations
Copyright
Copyright © Cambridge University Press 2018