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A review of NICE appraisals of pharmaceuticals 2000-2016 found variation in establishing comparative clinical effectiveness

Anderson, Michael ORCID: 0000-0002-8454-4640, Naci, Huseyin ORCID: 0000-0002-7192-5751, Morrison, Deborah, Osipenko, Leeza and Mossialos, Elias ORCID: 0000-0001-8664-9297 (2018) A review of NICE appraisals of pharmaceuticals 2000-2016 found variation in establishing comparative clinical effectiveness. Journal of Clinical Epidemiology. ISSN 0895-4356

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Identification Number: 10.1016/j.jclinepi.2018.09.003

Abstract

Objective To identify and assess the methods for estimating comparative clinical effectiveness for novel pharmaceutical products licensed on the basis of non-RCT data and to evaluate the corresponding NICE recommendations. Methods Our identification strategy was two-fold. First, we reviewed all NICE appraisals between 2010 and 2016 and identified technologies where comparative clinical effectiveness estimates were calculated using non-RCT data. Second, we checked if NICE appraisals completed from 2000 to 2010 had included pharmaceuticals that were granted EMA marketing authorisation without RCT data between 1999-2014. Information was extracted on the methods used as well as the corresponding NICE recommendations. We also collected. Results Of 489 individual pharmaceutical technologies assessed by NICE, 22 (4%) used non-RCT data to estimate comparative clinical effectiveness. Methods for establishing external controls in such studies varied: 13 (59%) used published trials, 6 (27%) used observational data, 2 (9%) used expert opinion, and 1 (5%) used a responder vs non-responder analysis. Only 5 (23%) used a regression model to adjust for covariates. We did not observe a notable difference in the proportion of pharmaceutical technologies that received a positive recommendation from NICE whether the decision was based on RCT or non-RCT data. (83% vs 86%) Conclusions To date, the small number of appraisals by NICE based on non-RCT data did not result in substantially different treatment decisions. The majority of the technologies appraised on the basis of non-RCT data either received a positive recommendation or a positive recommendation with restrictions. The methods used to calculate comparative clinical effectivenes.

Item Type: Article
Official URL: https://www.jclinepi.com/
Additional Information: © 2018 Elsevier Inc.
Divisions: Health Policy
LSE Health
Subjects: R Medicine > RS Pharmacy and materia medica
Date Deposited: 02 Oct 2018 15:05
Last Modified: 11 Dec 2024 21:43
URI: http://eprints.lse.ac.uk/id/eprint/90294

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