Randomized Trial of Presenting Absolute v. Relative Risk Reduction in the Elicitation of Patient Values for Heart Disease Prevention With Conjoint Analysis
- 3 October 2008
- journal article
- research article
- Published by SAGE Publications in Medical Decision Making
- Vol. 29 (2) , 167-174
Abstract
Background . The authors performed a randomized controlled trial to test the effect of 2 different formats of risk reduction information when using conjoint analysis to elicit values about heart disease prevention.Methods . Participants ages 30 to 75 were enrolled and presented the same hypothetical scenario: a person with a 13% ten-year risk of heart disease. Participants then worked through a values elicitation exercise using conjoint analysis, making pairwise comparisons of hypothetical treatments that differed on 5 attributes. For the attribute ``ability to reduce heart attacks,'' participants were randomized to receive either absolute risk reduction (ARR) or relative risk reduction (RRR) information. Participants selected which attribute they felt was most important. Participants' responses to the pairwise comparisons were then used to generate their most important attribute using ordinary least squares regression. Outcomes included differences between groups in the proportion choosing and generating ability to reduce heart attacks as the most important attribute.Results. In total, 113 participants completed the study: mean age was 51, 29% were male, 52% were white, and 42% were African American. The proportion who selected the ability to reduce heart attacks as the most important treatment attribute did not differ significantly (64% RRR; 53% ARR, Fisher's P = 0.26). For the conjoint-generated most important attribute, those receiving the RRR version were significantly more likely to generate ability to reduce heart attacks as the most important attribute (59% RRR; 35% ARR, Fisher's P = 0.01).Discussion. Risk presentation format appears to affect the perceived value of different treatment attributes generated from conjoint analysis.Keywords
This publication has 27 references indexed in Scilit:
- Expressing medicine side effects: Assessing the effectiveness of absolute risk, relative risk, and number needed to harm, and the provision of baseline risk informationPatient Education and Counseling, 2006
- Patient treatment preferences for osteoporosisArthritis Care & Research, 2006
- Developing a quality criteria framework for patient decision aids: online international Delphi consensus processBMJ, 2006
- Heart to Heart: A Computerized Decision Aid for Assessment of Coronary Heart Disease Risk and the Impact of Risk‐Reduction Interventions for Primary PreventionPreventive Cardiology, 2004
- Simple tools for understanding risks: from innumeracy to insightBMJ, 2003
- How Do Individuals Apply Risk Information When Choosing Among Health Care Interventions?Risk Analysis, 2003
- Measuring What People Value: A Comparison of “Attitude” and “Preference” SurveysHealth Services Research, 2002
- Measuring Preferences for Health Care Interventions Using Conjoint Analysis: An Application to HIV TestingHealth Services Research, 2002
- Gender Differences in the Use of Message Cues and JudgmentsJournal of Marketing Research, 1991
- Conjoint Measurement for Quantifying Judgmental DataJournal of Marketing Research, 1971