Literature DB >> 15640298

Influence of number needed to treat, costs and outcome on preferences for a preventive drug.

J Nexøe1, I S Kristiansen, D Gyrd-Hansen, J B Nielsen.   

Abstract

BACKGROUND: The number needed to treat (NNT) has been widely recommended for communicating benefits from risk reductions. It has been claimed that NNT is easily understood and that it has intuitive meaning. There are, however, only few studies of lay people's understanding of NNT.
OBJECTIVE: The objective of this study was to explore whether lay people are sensitive to the magnitude of treatment effectiveness as expressed in terms of NNT, and whether the sensitivity is influenced by variation in the type of health outcome, variation in patients' payment for the treatment or variation in the type of side effects.
METHODS: In total, 2326 non-institutionalized Danes aged 18-91 years were interviewed face to face and asked whether they would consent to a treatment against a somewhat increased risk of death or heart attack. The respondents were allocated to different levels of effectiveness of treatment expressed as NNT of 10, 100, 200 or 400, different costs and different descriptions of adverse effects.
RESULTS: The odds for consenting to therapy were little influenced by the magnitude of NNT, but were greater among married respondents and among those who had side effects presented in terms of headache and constipation.
CONCLUSION: In this study, the respondents' choice of treatment was largely insensitive to the magnitude of NNT independently of variations in type of health outcome and costs. NNT may not be easily understood by lay people.

Entities:  

Mesh:

Year:  2005        PMID: 15640298     DOI: 10.1093/fampra/cmh706

Source DB:  PubMed          Journal:  Fam Pract        ISSN: 0263-2136            Impact factor:   2.267


  5 in total

1.  The "number needed to treat" turns 20--and continues to be used and misused.

Authors:  Finlay A McAlister
Journal:  CMAJ       Date:  2008-09-09       Impact factor: 8.262

Review 2.  Calculation of NNTs in RCTs with time-to-event outcomes: a literature review.

Authors:  Mandy Hildebrandt; Elke Vervölgyi; Ralf Bender
Journal:  BMC Med Res Methodol       Date:  2009-03-20       Impact factor: 4.615

3.  Can postponement of an adverse outcome be used to present risk reductions to a lay audience? A population survey.

Authors:  Rasmus Dahl; Dorte Gyrd-Hansen; Ivar Sønbø Kristiansen; Jørgen Nexøe; Jesper Bo Nielsen
Journal:  BMC Med Inform Decis Mak       Date:  2007-03-29       Impact factor: 2.796

4.  Communicating effectiveness of intervention for chronic diseases: what single format can replace comprehensive information?

Authors:  Henrik Stovring; Dorte Gyrd-Hansen; Ivar S Kristiansen; Jorgen Nexoe; Jesper B Nielsen
Journal:  BMC Med Inform Decis Mak       Date:  2008-06-19       Impact factor: 2.796

5.  Laypersons' understanding of relative risk reductions: randomised cross-sectional study.

Authors:  Lene Sorensen; Dorte Gyrd-Hansen; Ivar S Kristiansen; Jørgen Nexøe; Jesper B Nielsen
Journal:  BMC Med Inform Decis Mak       Date:  2008-07-17       Impact factor: 2.796

  5 in total

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