Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A stated preference binary choice experiment to explore NICE decision making.

Paul Tappenden1, John Brazier, Julie Ratcliffe

  • 1School of Health and Related Research, The University of Sheffield, Sheffield, England. P.Tappenden@Sheffield.ac.uk

Pharmacoeconomics
|July 21, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Smoking cessation after referral from hospital to community stop smoking services: an observational study.

BMJ public health·2025
Same author

Quality of care experience- aged care consumers (QCE-ACC) in residential aged care: an assessment of construct validity.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2025
Same author

Randomized Controlled Trial on the Impact of Befriending on Depression, Anxiety, Loneliness, and Social Support in Older People in Aged Care.

Clinical gerontologist·2025
Same author

Social support, self-efficacy, and distress on health-related quality of life in Chinese dementia caregivers: A serial multiple mediation analysis.

International psychogeriatrics·2025
Same author

Effects of a virtual iSupport Program on carers and people with dementia.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Process Evaluation of a Dementia Prevention Program for Aboriginal Australians (DAMPAA) Using a Theory of Change Framework.

Qualitative health research·2025
Same journal

Balancing Access and Value in Multi-Indication Medicines: Implications of PD-L1 Broad Listings in Australia.

PharmacoEconomics·2026
Same journal

Applications of Structural Expert Elicitations for Economic Evaluations: A Systematic Review Update.

PharmacoEconomics·2026
Same journal

Community Pharmacist Preferences for Providing a Dose Administration Aid Service in Australia: A Discrete Choice Experiment.

PharmacoEconomics·2026
Same journal

A Critical Systematic Review of Modelling Approaches and Methodologies used in Hyperlipidaemia Economic Evaluations.

PharmacoEconomics·2026
Same journal

Deriving a Korean SF-6Dv2 Value Set Using a Discrete Choice Experiment with Duration.

PharmacoEconomics·2026
Same journal

Correction: Ten Recommendations for Modelling Cost Effectiveness of Screening: Perspectives of an International Stakeholder Group.

PharmacoEconomics·2026
See all related articles

NICE considers factors beyond cost-effectiveness, including HR-QOL and therapy alternatives, when commissioning healthcare. Age does not significantly influence these decisions.

Area of Science:

  • Health economics
  • Health technology assessment
  • Decision analysis

Background:

  • The National Institute for Health and Clinical Excellence (NICE) commissions healthcare services.
  • NICE's decision-making process is crucial for resource allocation.
  • Understanding the factors influencing NICE's recommendations is vital for healthcare policy.

Purpose of the Study:

  • To investigate if NICE considers factors beyond incremental cost effectiveness.
  • To explore NICE Appraisal Committee members' preferences in healthcare commissioning.

Main Methods:

  • A stated preference binary choice experiment was employed.
  • Preferences for incremental cost effectiveness, uncertainty, beneficiary age, baseline HR-QOL, and alternative therapies were assessed.

Related Experiment Videos

  • Logit modeling analyzed Committee members' stated preferences.
  • Main Results:

    • Higher incremental cost-effectiveness ratios, economic uncertainty, and availability of alternative therapies reduced odds of positive recommendation.
    • Improved baseline health-related quality of life (HR-QOL) also significantly reduced recommendation odds.
    • Beneficiary age did not significantly impact technology recommendation decisions.

    Conclusions:

    • NICE's approach aligns with a probabilistic adoption/rejection model.
    • The findings suggest a move away from a single cost-effectiveness threshold.
    • Multiple factors influence NICE's healthcare commissioning decisions.