Nick Bansback1,2, Mark Harrison3,4, Carlo Marra5. 1. Centre for Health Evaluation and Outcome Sciences, St. Paul's Hospital, Vancouver, BC, Canada (NB) 2. School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada (NB) 3. Manchester Centre for Health Economics, Institute of Population Health, University of Manchester, Manchester, UK (MH) 4. Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada (MH) 5. School of Pharmacy, Memorial University, St. John's, Newfoundland and Labrador, Canada (CM)
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.
RCT Entities:
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.
Authors: Amelia Maiga; Farhood Farjah; Jeffrey Blume; Stephen Deppen; Valerie F Welty; Richard S D'Agostino; Graham A Colditz; Benjamin D Kozower; Eric L Grogan Journal: Ann Thorac Surg Date: 2019-06-27 Impact factor: 4.330
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Authors: D B Raphael; N S Russell; J M Immink; P G Westhoff; M C Stenfert Kroese; M R Stam; L M van Maurik; H J G D van den Bongard; J H Maduro; M G A Sattler; T van der Weijden; L J Boersma Journal: Breast Date: 2020-04-06 Impact factor: 4.380