Literature DB >> 33517512

Modifying NICE's Approach to Equity Weighting.

Mike Paulden1, Christopher McCabe2,3.   

Abstract

The UK's National Institute for Health and Care Excellence (NICE) recently launched a consultation on the methods it uses to evaluate new health technologies, and has highlighted the issue of how 'modifiers', including equity weights, should be incorporated into its processes. The practice of applying equity weights to specific population subgroups, as a means for increasing the effective cost-effectiveness threshold for some new health technologies, is well established in health technology assessment. It is also the subject of extensive discussion in the academic literature. In this paper, we demonstrate that NICE's current approach to equity weighting has the effect of reducing both population health and equity-weighted population health, a fundamental problem that appears to place NICE in contravention of its principles and obligations. We consider two potential methods for modifying NICE's current approach to address this problem. We also consider the merits of NICE abandoning its current approach to equity weighting and adopting a standard 'net benefit' approach in its place. We find that adopting a standard 'net benefit' approach is the most desirable option, as it provides for the most transparency while avoiding specific issues that arise when attempting to modify NICE's current approach. Regardless of the approach NICE uses for equity weighting, we find that protecting the health of National Health Service patients requires that some new technologies be evaluated using an effective cost-effectiveness threshold lower than the 'supply-side' cost-effectiveness threshold. This poses a particular challenge for NICE, given its obligations under the 2019 'Voluntary Scheme' between the UK pharmaceutical industry, the National Health Service, and the UK Government. We conclude by making some recommendations as to how NICE can move forward with the use of 'modifiers' in its decision making.

Entities:  

Year:  2021        PMID: 33517512     DOI: 10.1007/s40273-020-00988-2

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  4 in total

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Authors:  Laura Vallejo-Torres; Borja García-Lorenzo; Pedro Serrano-Aguilar
Journal:  Health Econ       Date:  2017-12-28       Impact factor: 3.046

2.  Estimating the Reference Incremental Cost-Effectiveness Ratio for the Australian Health System.

Authors:  Laura Catherine Edney; Hossein Haji Ali Afzali; Terence Chai Cheng; Jonathan Karnon
Journal:  Pharmacoeconomics       Date:  2018-02       Impact factor: 4.981

3.  Methods for the estimation of the National Institute for Health and Care Excellence cost-effectiveness threshold.

Authors:  Karl Claxton; Steve Martin; Marta Soares; Nigel Rice; Eldon Spackman; Sebastian Hinde; Nancy Devlin; Peter C Smith; Mark Sculpher
Journal:  Health Technol Assess       Date:  2015-02       Impact factor: 4.014

4.  Is an ounce of prevention worth a pound of cure? A cross-sectional study of the impact of English public health grant on mortality and morbidity.

Authors:  Stephen Martin; James Lomas; Karl Claxton
Journal:  BMJ Open       Date:  2020-10-10       Impact factor: 2.692

  4 in total
  2 in total

1.  Are Estimates of the Health Opportunity Cost Being Used to Draw Conclusions in Published Cost-Effectiveness Analyses? A Scoping Review in Four Countries.

Authors:  Laura Vallejo-Torres; Borja García-Lorenzo; Laura Catherine Edney; Niek Stadhouders; Ijeoma Edoka; Iván Castilla-Rodríguez; Lidia García-Pérez; Renata Linertová; Cristina Valcárcel-Nazco; Jonathan Karnon
Journal:  Appl Health Econ Health Policy       Date:  2021-12-29       Impact factor: 3.686

2.  Estimating the shares of the value of branded pharmaceuticals accruing to manufacturers and to patients served by health systems.

Authors:  Beth Woods; Aimée Fox; Mark Sculpher; Karl Claxton
Journal:  Health Econ       Date:  2021-08-02       Impact factor: 2.395

  2 in total

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