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

Abstract Objective: To investigate the impact of patients9 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: Patients9 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 patients9 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.