Literature DB >> 25387782

Patients' preferences in anticoagulant therapy: discrete choice experiment.

Mehdi Najafzadeh1, Joshua J Gagne2, Niteesh K Choudhry2, Jennifer M Polinski2, Jerry Avorn2, Sebastian S Schneeweiss2.   

Abstract

BACKGROUND: With proliferating treatment options for anticoagulant therapy, physicians and patients must choose among them based on their benefits and risks. Using a Discrete Choice Experiment, we elicited patients' relative preferences for specific benefits and risks of anticoagulant therapy. METHODS AND
RESULTS: We selected a sample of US patients with cardiovascular disease from an online panel and elicited their preferences for benefits and risks of anticoagulant therapy: nonfatal stroke, nonfatal myocardial infarction, cardiovascular death, minor bleeding, major bleeding, bleeding death, and need for monitoring. These attributes were used to design scenarios describing hypothetical treatments that were labeled as new drug, old drug, or no drug. Latent class analysis was used to identify groups of patients with similar preferences. A total of 341 patients completed all Discrete Choice Experiment questions. On average, patients valued a 1% increased risk of a fatal bleeding event the same as a 2% increase in nonfatal myocardial infarction, a 3% increase in nonfatal stroke, a 3% increase in cardiovascular death, a 6% increase in major bleeding, and a 16% increase in minor bleeding. The odds of choosing no drug or old drug versus new drug were 0.72 (95% confidence interval, 0.61-0.84) and 0.86 (95% confidence interval, 0.81-0.93), respectively. Previous stroke or myocardial infarction was associated with membership in the class with larger negative preferences for these outcomes.
CONCLUSIONS: Patients' preferences for various outcomes of anticoagulant therapy vary and depend on their previous experiences with myocardial infarction or stroke. Incorporating these preferences into benefit risk calculation and treatment decisions can enhance patient-centered care.
© 2014 American Heart Association, Inc.

Entities:  

Keywords:  benefit-risk assessment; choice behavior; patient centered outcome research; utility theory

Mesh:

Substances:

Year:  2014        PMID: 25387782     DOI: 10.1161/CIRCOUTCOMES.114.001013

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN: 1941-7713


  11 in total

1.  Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review.

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2.  General Population vs. Patient Preferences in Anticoagulant Therapy: A Discrete Choice Experiment.

Authors:  Mehdi Najafzadeh; Sebastian Schneeweiss; Niteesh K Choudhry; Jerry Avorn; Joshua J Gagne
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