Background: Common measures used to describe preventive treatment effects today are proportional, i.e. they\ncompare the proportions of events in relative or absolute terms, however they are not easily interpreted from the\npatientâ??s perspective and different magnitudes do not seem to clearly discriminate between levels of effect\npresented to people.\nMethods: In this randomised cross-sectional survey experiment, performed in a Swedish population-based sample\n(n = 1041, response rate 58.6%), the respondents, aged between 40 and 75 years were given information on a\nhypothetical preventive cardiovascular treatment. Respondents were randomised into groups in which the\ntreatment was described as having the effect of delaying a heart attack for different periods of time (Delay of\nEvent, DoE): 1 month, 6 months or 18 months. Respondents were thereafter asked about their willingness to initiate\nsuch therapy, as well as questions about how they valued the proposed therapy.\nResults: Longer DoE:s were associated with comparatively greater willingness to initiate treatment. The proportions\naccepting treatment were 81, 71 and 46% when postponement was 18 months, 6 months and 1 month\nrespectively. In adjusted binary logistic regression models the odds ratio for being willing to take therapy was 4.45\n(95% CI 2.72â??7.30) for a DoE of 6 months, and 6.08 (95% CI 3.61â??10.23) for a DoE of 18 months compared with a\nDoE of 1 month. Greater belief in the necessity of medical treatment increased the odds of being willing to initiate\ntherapy.\nConclusions: Lay peopleâ??s willingness to initiate preventive therapy was sensitive to the magnitude of the effect\npresented as DoE. The results indicate that DoE is a comprehensible effect measure, of potential value in shared\nclinical decision-making.
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