Patient and physician preferences for anticancer drugs for the treatment of metastatic colorectal cancer: a discrete-choice experiment.
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2017
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OBJECTIVE: Many publications describe preferences for colorectal cancer (CRC) screening; however, few studies elicited preferences for anticancer-drug treatment for metastatic CRC (mCRC). This study was designed to elicit preferences and risk tolerance among patients and oncologists in the USA for anticancer drugs to treat mCRC. MATERIALS AND METHODS: Patients aged 18 years or older with a self-reported diagnosis of mCRC and board-certified (or equivalent) oncologists who had treated patients with mCRC were recruited by two survey research companies from existing online patient panels in the USA. Additional oncologists were recruited from a list of US physicians. Patients and oncologists completed a discrete-choice experiment (DCE) survey. DCEs offer a systematic method of eliciting preferences and quantifying both the relative importance of treatment attributes and the tradeoffs respondents are willing to make among benefits and risks. Treatment attributes in the DCE were progression-free survival (PFS) and risks of severe papulopustular rash, serious hemorrhage, cardiopulmonary arrest, and gastrointestinal perforation. Patients' and physicians' maximum levels of acceptable treatment-related risks for two prespecified increases in efficacy were estimated. RESULTS: A total of 127 patients and 150 oncologists completed the survey. Relative preferences for the treatment attributes in the study were mostly consistent with the expectation that better clinical outcomes were preferred over worse clinical outcomes. Risk tolerance varied between patients and physicians. On average, physicians were willing to tolerate higher risks than patients, although these differences were mostly not statistically significant. Post hoc latent-class analyses revealed that some patients and physicians were unwilling to forgo any efficacy to avoid toxicities, while others were willing to make such tradeoffs. CONCLUSION: Differences in preferences between patients and physicians suggest that there is the potential for improvement in patients' well-being. Initiating or enhancing discussions about patient tolerance for toxicities, such as skin rash and gastrointestinal perforations, may help prescribe treatments that entail more appropriate benefit-risk tradeoffs.
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González, Juan Marcos, Sarika Ogale, Robert Morlock, Joshua Posner, Brett Hauber, Nicolas Sommer and Axel Grothey (2017). Patient and physician preferences for anticancer drugs for the treatment of metastatic colorectal cancer: a discrete-choice experiment. Cancer Manag Res, 9. pp. 149–158. 10.2147/CMAR.S125245 Retrieved from https://hdl.handle.net/10161/14613.
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Juan Marcos Gonzalez
Dr. Gonzalez is an Associate Professor in the Department of Population Health Sciences. He is an expert in the design of stated-preference survey instruments and the use of advanced statistical tools to analyze stated-preference data. His research has focused on the transparency in benefit-risk evaluations of medical interventions, and the elicitation of health preferences from multiple stakeholders to support shared decision making.
Dr. Gonzalez co-led the first FDA-sponsored preference study which was highlighted in FDA’s recent precedent-setting guidance for submitting patient-preference evidence to inform regulatory benefit-risk evaluations of new medical devices. More recently, Dr. Gonzalez collaborated with the Medical Devices Innovation Consortium (MDIC) to prepare the first catalog of preference-elicitation methods (part of the Patient-Centered Benefit-Risk Assessment Framework) suitable for benefit-risk assessments of medical devices. As a core group member of the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) Conjoint Analysis Task Force, Dr. Gonzalez helped draft good-practice recommendations for statistical analysis, interpretation, and reporting of health preference data. Currently, he is working with the Center for Devices and Radiological Health at FDA to support the Center’s capabilities for the review of stated-preference data in regulatory decisions.
Areas of expertise: Clinical Decision Sciences and Health Measurement
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