Research article

Treatment decision-making and the form of risk communication: results of a factorial survey

Larry A Hembroff¹ , Margaret Holmes-Rovner² and Celia E Wills³

¹  Institute for Public Policy and Social Research, 321 Berkey Hall, Michigan State University, East Lansing, MI, 48824, USA

²  College of Human Medicine, Michigan State University, East Lansing, MI, USA

³  College of Nursing, Michigan State University, East Lansing, MI, USA

author email corresponding author email

BMC Medical Informatics and Decision Making 2004, 4:20doi:10.1186/1472-6947-4-20

Published:	16 November 2004

Abstract

Background

Prospective users of preventive therapies often must evaluate complex information about therapeutic risks and benefits. The purpose of this study was to evaluate the effect of relative and absolute risk information on patient decision-making in scenarios typical of health information for patients.

Methods

Factorial experiments within a telephone survey of the Michigan adult, non-institutionalized, English-speaking population. Average interview lasted 23 minutes. Subjects and sample design: 952 randomly selected adults within a random-digit dial sample of Michigan households. Completion rate was 54.3%.

Results

When presented hypothetical information regarding additional risks of breast cancer from a medication to prevent a bone disease, respondents reduced their willingness to recommend a female friend take the medication compared to the baseline rate (66.8% = yes). The decrease was significantly greater with relative risk information. Additional benefit information regarding preventing heart disease from the medication increased willingness to recommend the medication to a female friend relative to the baseline scenario, but did not differ between absolute and relative risk formats. When information about both increased risk of breast cancer and reduced risk of heart disease were provided, typical respondents appeared to make rational decisions consistent with Expected Utility Theory, but the information presentation format affected choices. Those 11% – 33% making decisions contrary to the medical indications were more likely to be Hispanic, older, more educated, smokers, and to have children in the home.

Conclusions

In scenarios typical of health risk information, relative risk information led respondents to make non-normative decisions that were "corrected" when the frame used absolute risk information. This population sample made generally rational decisions when presented with absolute risk information, even in the context of a telephone interview requiring remembering rates given. The lack of effect of gender and race suggests that a standard strategy of presenting absolute risk information may improve patient decision-making.