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Does Introducing Imprecision around Probabilities for Benefit and Harm Influence the Way People Value Treatments?

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  • Nick Bansback
  • Mark Harrison
  • Carlo Marra

Abstract

Background . Imprecision in estimates of benefits and harms around treatment choices is rarely described to patients. Variation in sampling error between treatment alternatives (e.g., treatments have similar average risks, but one treatment has a larger confidence interval) can result in patients failing to choose the option that is best for them. The aim of this study is to use a discrete choice experiment to describe how 2 methods for conveying imprecision in risk influence people’s treatment decisions. Methods . We randomized a representative sample of the Canadian general population to 1 of 3 surveys that sought choices between hypothetical treatments for rheumatoid arthritis based on different levels of 7 attributes: route and frequency of administration, chance of benefit, serious and minor side effects and life expectancy, and imprecision in benefit and side-effect estimates. The surveys differed in the way imprecision was described: 1) no imprecision, 2) quantitative description based on a range with a visual graphic, and 3) qualitative description simply describing the confidence in the evidence. Results . The analyzed data were from 2663 respondents. Results suggested that more people understood imprecision when it was described qualitatively (88%) versus quantitatively (68%). Respondents who appeared to understand imprecision descriptions placed high value on increased precision regarding the actual benefits and harms of treatment, equivalent to the value placed on the information about the probability of serious side effects. Both qualitative and quantitative methods led to small but significant increases in decision uncertainty for choosing any treatment. Limitations included some issues in defining understanding of imprecision and the use of an internet survey of panel members. Conclusions . These findings provide insight into how conveying imprecision information influences patient treatment choices.

Suggested Citation

  • Nick Bansback & Mark Harrison & Carlo Marra, 2016. "Does Introducing Imprecision around Probabilities for Benefit and Harm Influence the Way People Value Treatments?," Medical Decision Making, , vol. 36(4), pages 490-502, May.
    • Handle: RePEc:sae:medema:v:36:y:2016:i:4:p:490-502
    DOI: 10.1177/0272989X15600708
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    References listed on IDEAS

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    1. David Revelt and Kenneth Train., 2000. "Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier," Economics Working Papers E00-274, University of California at Berkeley.
    2. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, January.
    3. Charles, Cathy & Gafni, Amiram & Whelan, Tim, 1999. "Decision-making in the physician-patient encounter: revisiting the shared treatment decision-making model," Social Science & Medicine, Elsevier, vol. 49(5), pages 651-661, September.
    4. Gafni, Amiram & Charles, Cathy & Whelan, Tim, 1998. "The physician-patient encounter: The physician as a perfect agent for the patient versus the informed treatment decision-making model," Social Science & Medicine, Elsevier, vol. 47(3), pages 347-354, August.
    5. Mark Harrison & Dan Rigby & Caroline Vass & Terry Flynn & Jordan Louviere & Katherine Payne, 2014. "Risk as an Attribute in Discrete Choice Experiments: A Systematic Review of the Literature," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 7(2), pages 151-170, June.
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    Cited by:

    1. Tammy C. Hoffmann & Mina Bakhit & Marie-Anne Durand & Lilisbeth Perestelo-Pérez & Catherine Saunders & Juan P. Brito, 2021. "Basing Information on Comprehensive, Critically Appraised, and Up-to-Date Syntheses of the Scientific Evidence: An Update from the International Patient Decision Aid Standards," Medical Decision Making, , vol. 41(7), pages 755-767, October.
    2. Carissa Bonner & Lyndal J. Trevena & Wolfgang Gaissmaier & Paul K. J. Han & Yasmina Okan & Elissa Ozanne & Ellen Peters & Daniëlle Timmermans & Brian J. Zikmund-Fisher, 2021. "Current Best Practice for Presenting Probabilities in Patient Decision Aids: Fundamental Principles," Medical Decision Making, , vol. 41(7), pages 821-833, October.

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