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      A Review of Issues Affecting the Efficiency of Decision Making in the NICE Single Technology Appraisal Process

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          Abstract

          Background

          Escalating demands upon the National Institute for Health and Care Excellence’s (NICE’s) Single Technology Appraisal (STA) programme require a 2.5-times increase upon 2015 capacity by 2020. This additional strain on committee resources threatens to compromise the rigour of the STA process. In 2018, NICE introduced changes to the appraisal process, aiming to expedite final decisions, including consultation opportunities prior to the company’s evidence submission, a ‘Technical Engagement’ stage prior to the first committee meeting, and powers for committee chairs to recommend technologies without a second formal meeting.

          Objective

          This study reviews recent STAs and aims to understand why appraisals require multiple meetings, and whether recent reforms can address the underlying issues.

          Methods

          NICE STAs published between January 2010 and January 2018 were reviewed, excluding updates or re-considerations. Data on cost, clinical, and decision-making outcomes from 146 appraisals were extracted and analysed thematically.

          Results

          Drugs for advanced cancers were least likely to be recommended (28/43 [65.1%] vs 71/74 [96%] for non-cancer) and took longer (2.36 meetings for a final decision vs 1.97 for non-cancer). The academic review increased upon the company’s base-case incremental cost-effectiveness ratio by a median of 32.7%. Eighty-four technologies (57.5%) received a negative preliminary recommendation, deferring a final decision by an average of 142 days. Of these, 85.1% were not considered cost-effective. Uncertainty in economic (34.3%) and clinical (22.3%) data also prevented a positive decision. The majority (72.6% [61/84]) of negative preliminary decisions were overturned following further committee discussion; important considerations were Patient Access Schemes, decision optimisation, and the Cancer Drugs Fund.

          Conclusions

          Value considerations are the primary driver of negative preliminary recommendations. It is unclear if new opportunities for additional interaction between NICE, review groups, and manufacturers will meaningfully improve the efficiency of the appraisal process, particularly given the proportion of technologies requiring further committee discussion for decision optimisation or admission into the CDF. 

          Electronic supplementary material

          The online version of this article (10.1007/s41669-018-0113-0) contains supplementary material, which is available to authorized users.

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          Most cited references7

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          Using effectiveness and cost-effectiveness to make drug coverage decisions: a comparison of Britain, Australia, and Canada.

          National public insurance for drugs is often based on evidence of comparative effectiveness and cost-effectiveness. This study describes how that evidence has been used across 3 jurisdictions (Australia, Canada, and Britain) that have been at the forefront of evidence-based coverage internationally. To describe how clinical and cost-effectiveness evidence is used in coverage decisions both within and across jurisdictions and to identify common issues in the process of evidence-based coverage. Descriptive analysis of retrospective data from the Common Drug Review (CDR) of Canada, National Institute for Health and Clinical Excellence (NICE) in Britain, and Pharmaceutical Benefits Advisory Committee (PBAC) of Australia. All publicly available information as of December 31, 2008, was gathered from each committee's Web site (data set begins in January 2004 [CDR], February 2001 [NICE], and July 2005 [PBAC]). Listing recommendations for each drug by disease indication. NICE recommended 87.4% (174/199) of submissions for listing compared with a listing rate of 49.6% (60/121) and 54.3% (153/282) for the CDR and PBAC, respectively. Significant uncertainty around clinical effectiveness, typically resulting from inadequate study design or the use of inappropriate comparators and unvalidated surrogate end points, was identified as a key issue in coverage decisions. Recommendations varied considerably across countries, possibly because of differences in the medications reviewed; different agency processes, including the willingness to negotiate on price; and the approach to "me too" drugs. The data suggest that the 3 agencies make recommendations that are consistent with evidence on effectiveness and cost-effectiveness but that other factors are often important. NICE, PBAC, and CDR face common issues with respect to the quality and strength of the experimental evidence in support of a clinically meaningful effect. However, comparative effectiveness and cost-effectiveness, along with other relevant factors, can be used by national agencies to support drug decision making. The results of the evaluation process in different countries are influenced by the context, agency processes, ability to engage in price negotiation, and perhaps differences in social values.
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            THE INFLUENCE OF COST-EFFECTIVENESS AND OTHER FACTORS ON NICE DECISIONS.

            The National Institute for Health and Care Excellence (NICE) emphasises that cost-effectiveness is not the only consideration in health technology appraisal and is increasingly explicit about other factors considered relevant but not the weight attached to each. The objective of this study is to investigate the influence of cost-effectiveness and other factors on NICE decisions and whether NICE's decision-making has changed over time. We model NICE's decisions as binary choices for or against a health care technology in a specific patient group. Independent variables comprised of the following: clinical and economic evidence; characteristics of patients, disease or treatment; and contextual factors potentially affecting decision-making. Data on all NICE decisions published by December 2011 were obtained from HTAinSite [www.htainsite.com]. Cost-effectiveness alone correctly predicted 82% of decisions; few other variables were significant and alternative model specifications had similar performance. There was no evidence that the threshold has changed significantly over time. The model with highest prediction accuracy suggested that technologies costing £40 000 per quality-adjusted life-year (QALY) have a 50% chance of NICE rejection (75% at £52 000/QALY; 25% at £27 000/QALY). Past NICE decisions appear to have been based on a higher threshold than £20 000-£30 000/QALY. However, this may reflect consideration of other factors that cannot be easily quantified. © 2014 The Authors. Health Economics published by John Wiley & Sons Ltd.
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              Variation in Health Technology Assessment and Reimbursement Processes in Europe

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                Author and article information

                Contributors
                matthew.walton@york.ac.uk
                Journal
                Pharmacoecon Open
                Pharmacoecon Open
                PharmacoEconomics Open
                Springer International Publishing (Cham )
                2509-4262
                2509-4254
                8 January 2019
                8 January 2019
                September 2019
                : 3
                : 3
                : 403-410
                Affiliations
                [1 ]ISNI 0000 0004 1936 9668, GRID grid.5685.e, Centre for Reviews and Dissemination, University of York, ; York, UK
                [2 ]ISNI 0000 0004 1936 9262, GRID grid.11835.3e, School of Health and Related Research, , University of Sheffield, ; Sheffield, UK
                Article
                113
                10.1007/s41669-018-0113-0
                6710310
                30617953
                350fedef-76d0-457c-82e1-4abeb72071ca
                © The Author(s) 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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                © The Author(s) 2019

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