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A Review of NICE Methods and Processes Across Health Technology Assessment Programmes: Why the Differences and What is the Impact?

Overview of attention for article published in Applied Health Economics and Health Policy, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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49 Mendeley
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Title
A Review of NICE Methods and Processes Across Health Technology Assessment Programmes: Why the Differences and What is the Impact?
Published in
Applied Health Economics and Health Policy, January 2017
DOI 10.1007/s40258-017-0309-y
Pubmed ID
Authors

Emma Cowles, Grace Marsden, Amanda Cole, Nancy Devlin

Abstract

Decisions made by the National Institute for Health and Care Excellence (NICE) exert an influence on the allocation of resources within 'fixed' National Health Service budgets. Yet guidance for different types of health interventions is handled via different 'programmes' within NICE, which follow different methods and processes. The objective of this research was to identify differences in the processes and methods of NICE health technology assessment programmes and to explore how these could impact on allocative efficiency within the National Health Service. Data were extracted from the NICE technology appraisal programme, medical technologies guidance, diagnostic assessment programme, highly specialised technologies programme, and clinical guidelines process and methods manuals to undertake a systematic comparison. Five qualitative interviews were carried out with NICE members of staff and committee members to explore the reasons for the differences found. The main differences identified were in the required evidence review period, or lack thereof, mandatory funding status, the provision of a reference case for economic evaluation, the requirement for and the type of economic analysis undertaken, and the decision making criteria used for appraisal. Many of the differences found can be justified on grounds of practicality and relevance to the health technologies under assessment. Nevertheless, from a strict utilitarian view, there are several potential areas of inefficiency that could lead to the misallocation of resources within the National Health Service, although some of these might be eliminated or reduced if an egalitarian view is taken. The challenge is determining where society is willing to trade health gains between different people.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 12%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Other 3 6%
Researcher 3 6%
Other 5 10%
Unknown 23 47%
Readers by discipline Count As %
Medicine and Dentistry 8 16%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Social Sciences 4 8%
Nursing and Health Professions 2 4%
Economics, Econometrics and Finance 2 4%
Other 4 8%
Unknown 25 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 July 2023.
All research outputs
#2,129,562
of 25,800,372 outputs
Outputs from Applied Health Economics and Health Policy
#66
of 849 outputs
Outputs of similar age
#42,560
of 425,160 outputs
Outputs of similar age from Applied Health Economics and Health Policy
#2
of 23 outputs
Altmetric has tracked 25,800,372 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 849 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 425,160 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.