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Multicenter Study
. 2000 May 20;320(7246):1380-4.
doi: 10.1136/bmj.320.7246.1380.

The impact of patients' preferences on the treatment of atrial fibrillation: observational study of patient based decision analysis

Affiliations
Multicenter Study

The impact of patients' preferences on the treatment of atrial fibrillation: observational study of patient based decision analysis

J Protheroe et al. BMJ. .

Abstract

Objective: To investigate the impact of patients' preferences for the treatment of atrial fibrillation, by using individualised decision analysis combining probability and utility assessments into a decision tree.

Design: Observational study based on interviews with patients.

Setting: Eight general practices in Avon.

Participants: 260 randomly selected patients aged 70-85 years with atrial fibrillation.

Main outcome measures: Patients' treatment preferences regarding anticoagulation treatment (warfarin) after individualised decision analysis; comparison of these preferences with treatment guidelines on the basis of comorbidity and absolute risk and compared with current prescription.

Results: Of 195 eligible patients, 97 participated in decision making using decision analysis. Among these 97, the decision analysis indicated that 59 (61%; 95% confidence interval 50% to 71%) would prefer anticoagulation treatment-considerably fewer than those who would be recommended treatment according to guidelines. There was marked disagreement between the decision analysis and guideline recommendations (kappa=0.25 or less). Of 38 patients whose decision analysis indicated a preference for anticoagulation, 17 (45%) were being prescribed warfarin; on the other hand, 28 (47%) of 59 patients were not being prescribed warfarin although the results of their decision analysis suggested they wanted to be.

Conclusions: In the context of shared decision making, individualised decision analysis is valuable in a sizeable proportion of elderly patients with atrial fibrillation. Taking account of patients' preferences would lead to fewer prescriptions for warfarin than under published guideline recommendations. Decision analysis as a shared decision making tool should be evaluated in a randomised controlled trial.

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Figures

Figure 1
Figure 1
Decision tree of health states resulting from having atrial fibrillation with utility values (median (interquartile range)) for each health state
Figure 2
Figure 2
Levels of disagreement between treatment preferences based on decision analysis and recommendations of treatment guidelines from a consensus conference9 and absolute risk

Comment in

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