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General Population vs. Patient Preferences in Anticoagulant Therapy: A Discrete Choice Experiment
Mehdi Najafzadeh1, Sebastian Schneeweiss2, Niteesh K Choudhry2
1Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. mnajafzadeh@bwh.harvard.edu.
Insights
Patient preferences for anticoagulant therapy risks differ from the general population. Cardiovascular disease patients weigh risks like bleeding and stroke differently, impacting treatment decisions.
Area of Science:
- Cardiovascular Medicine
- Health Economics
- Patient-Reported Outcomes
Background:
- General population preferences often guide therapeutic decisions.
- Patients with cardiovascular disease may possess distinct risk-benefit preferences for anticoagulant therapy.
Purpose of the Study:
- To compare preference weights for anticoagulant treatment outcomes between the general US population and patients with cardiovascular disease.
- To assess how differing preferences influence patient-centered treatment decisions.
Main Methods:
- A discrete choice experiment was employed with online panels from the general US population and cardiovascular disease patients.
- Seven attributes of hypothetical anticoagulant treatments were evaluated: stroke, myocardial infarction, cardiovascular death, minor bleeding, major bleeding, fatal bleeding, and monitoring needs.
- Preference weights and maximum acceptable risks were measured and compared between the two groups.
Main Results:
- General population: 1% fatal bleeding risk equivalent to 4.2% non-fatal myocardial infarction, 2.8% cardiovascular death, or 14.1% minor bleeding.
- Cardiovascular disease patients: 1% fatal bleeding risk equivalent to 2.0% non-fatal myocardial infarction, 3.2% cardiovascular death, or 16.7% minor bleeding.
- Propensity score matching ensured comparable analysis groups (n=284 each).
Conclusions:
- Significant differences exist in how the general population and cardiovascular disease patients perceive risks and benefits of anticoagulant therapy.
- These divergent preferences can impact the estimation of treatment benefits and risks.
- Acknowledging these distinct preferences is crucial for informed, patient-centered decision-making in anticoagulant therapy.
Objectives:
Preference weights derived from general population samples are often used for therapeutic decision making. In contrast, patients with cardiovascular disease may have different preferences concerning the benefits and risks of anticoagulant therapy. Using a discrete choice experiment, we compared preferences for anticoagulant treatment outcomes between the general population and patients with cardiovascular disease.
Methods:
A sample of the general US population and a sample of patients with cardiovascular disease were selected from online panels. We used a discrete choice experiment questionnaire to elicit preferences in both populations concerning treatment benefits and risks. Seven attributes described hypothetical treatments: non-fatal stroke, non-fatal myocardial infarction, cardiovascular death, minor bleeding, major bleeding, fatal bleeding, and the need for monitoring. We measured preference weights and maximum acceptable risks in both populations.
Results:
A total of 352 individuals from the general population and 341 patients completed the questionnaire. After propensity score matching, 284 from each group were included in the analysis. On average, the general population members valued a 1% increased risk of fatal bleeding as being the same as a 4.2% increase in a non-fatal myocardial infarction, a 2.8% increase in cardiovascular death, or a 14.1% increase in minor bleeding. Patients, in contrast, perceived a 1% increased risk of fatal bleeding as being the same as a 2.0% increase in a non-fatal myocardial infarction, a 3.2% increase in cardiovascular death, and a 16.7% increase in minor bleeding.
Conclusions:
The general population and patients with cardiovascular disease had slightly different preferences for treatment outcomes. The differences can potentially influence estimated benefits and risks and patient-centered treatment decisions.
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