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Headline
The study found that independent Evidence Review Groups frequently conduct exploratory analyses to test or improve the economic evaluations submitted to the National Institute for Health and Care Excellence (NICE) by companies as part of the single technology appraisal process. These analyses often influence the recommendations produced by NICE Technology Appraisal Committees.
Abstract
Background:
As part of the National Institute for Health and Care Excellence (NICE) single technology appraisal (STA) process, independent Evidence Review Groups (ERGs) critically appraise the company submission. During the critical appraisal process the ERG may undertake analyses to explore uncertainties around the company’s model and their implications for decision-making. The ERG reports are a central component of the evidence considered by the NICE Technology Appraisal Committees (ACs) in their deliberations.
Objective:
The aim of this research was to develop an understanding of the number and type of exploratory analyses undertaken by the ERGs within the STA process and to understand how these analyses are used by the NICE ACs in their decision-making.
Methods:
The 100 most recently completed STAs with published guidance were selected for inclusion in the analysis. The documents considered were ERG reports, clarification letters, the first appraisal consultation document and the final appraisal determination. Over 400 documents were assessed in this study. The categories of types of exploratory analyses included fixing errors, fixing violations, addressing matters of judgement and the ERG-preferred base case. A content analysis of documents (documentary analysis) was undertaken to identify and extract relevant data, and narrative synthesis was then used to rationalise and present these data.
Results:
The level and type of detail in ERG reports and clarification letters varied considerably. The vast majority (93%) of ERG reports reported one or more exploratory analyses. The most frequently reported type of analysis in these 93 ERG reports related to the category ‘matters of judgement’, which was reported in 83 (89%) reports. The category ‘ERG base-case/preferred analysis’ was reported in 45 (48%) reports, the category ‘fixing errors’ was reported in 33 (35%) reports and the category ‘fixing violations’ was reported in 17 (18%) reports. The exploratory analyses performed were the result of issues raised by an ERG in its critique of the submitted economic evidence. These analyses had more influence on recommendations earlier in the STA process than later on in the process.
Limitations:
The descriptions of analyses undertaken were often highly specific to a particular STA and could be inconsistent across ERG reports and thus difficult to interpret.
Conclusions:
Evidence Review Groups frequently conduct exploratory analyses to test or improve the economic evaluations submitted by companies as part of the STA process. ERG exploratory analyses often have an influence on the recommendations produced by the ACs.
Future work:
More in-depth analysis is needed to understand how ERGs make decisions regarding which exploratory analyses should be undertaken. More research is also needed to fully understand which types of exploratory analyses are most useful to ACs in their decision-making.
Funding:
The National Institute for Health Research Health Technology Assessment programme.
Contents
- Plain English summary
- Scientific summary
- Chapter 1. Background
- Chapter 2. Methods
- Chapter 3. Results
- General overview
- Exploratory analyses
- Sources of evidence
- Factors that might influence or predict the presence of Evidence Review Group exploratory analyses
- Relationship between clarification requests, Evidence Review Group critiques and exploratory analyses
- Appraisal Committees and additional analyses
- Influence of the exploratory analyses on Appraisal Committees’ considerations and recommendations
- Patient Access Schemes
- A summary of decisions and incremental cost-effectiveness ratios
- Chapter 4. Discussion
- Chapter 5. Recommendations
- Chapter 6. Conclusions
- Acknowledgements
- References
- Appendix 1 List of 100 single technology appraisals
- Appendix 2 Sample data extraction template
- Appendix 3 Example data extraction
- Glossary
- List of abbreviations
Article history
The research reported in this issue of the journal was funded by the HTA programme as project number 14/151/04. The contractual start date was in October 2014. The draft report began editorial review in August 2015 and was accepted for publication in December 2015. The authors have been wholly responsible for all data collection, analysis and interpretation, and for writing up their work. The HTA editors and publisher have tried to ensure the accuracy of the authors’ report and would like to thank the reviewers for their constructive comments on the draft document. However, they do not accept liability for damages or losses arising from material published in this report.
Declared competing interests of authors
none
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