Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to browse AJSM online!

Sign In to gain access to subscriptions and/or personal tools.
Medical Decision Making
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
0272989X08315246v1
28/3/377    most recent
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Cuite, C. L.
Right arrow Articles by Colditz, G.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Cuite, C. L.
Right arrow Articles by Colditz, G.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

A Test of Numeric Formats for Communicating Risk Probabilities

Cara L. Cuite, PhD

Food Policy Institute, Rutgers, The State University of New Jersey, New Brunswick, cuite{at}aesop.rutgers.edu

Neil D. Weinstein, PhD

Department of Family and Community Medicine, University of Arizona College of Medicine, Phoenix

Karen Emmons, PhD

Harvard School of Public Health, Dana Farber Cancer Center, Boston, Massachusetts

Graham Colditz, MD, DrPH

Alvin J. Site-man Cancer Center, Washington University School of Medicine, St. Louis, MO

Background. Because people frequently encounter information about the probability of health risks, there is a need for research to help identify the best formats for presenting these probabilities. Methods. Three waves of participants were recruited from visitors to a cancer-related Internet site. Participants were presented with a hypothetical scenario that required them to perform 2 mathematical operations of the types that might be encountered in discussions of risk. Each wave encountered different operations. The operations used were compare, halve, triple, add, sequence, and tradeoff. Three numeric formats for communicating risk likelihoods were tested: percentages (e.g., 12%), frequencies (e.g., 12 in 100), and 1 in n (e.g., 1 in 8), and many levels of risk magnitude were crossed with the 3 formats. Results. The total sample of 16,133 individuals represented an overall participation rate of 36.1%. Although the relative performance of the formats varied by operation, aggregated across operations, the percentage and frequency formats had higher overall accuracy rates than the 1-in-n format (57% and 55% v. 45%, respectively). Participants with less education, African Americans, Hispanics, and women had more difficulty with the mathematical operations. Discussion. Percentage and frequency formats facilitate performance of simple operations on risk probabilities compared with the 1-in-n format, which should usually be avoided.

Key Words: risk • risk likelihood • probability • risk format • risk communication • patient-provider communication. (Med Decis Making 2008;28:377—384)

This version was published on June 1, 2008

Medical Decision Making, Vol. 28, No. 3, 377-384 (2008)
DOI: 10.1177/0272989X08315246


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
Health Educ BehavHome page
I. M. Lipkus and E. Peters
Understanding the Role of Numeracy in Health: Proposed Theoretical Framework and Practical Insights
Health Educ Behav, December 1, 2009; 36(6): 1065 - 1081.
[Abstract] [PDF]


Home page
ANN INTERN MEDHome page
J. L. Warner
Risk Prediction Versus Diagnosis: Preserving Clinical Nuance in a Binary World
Ann Intern Med, February 3, 2009; 150(3): 222 - 222.
[Full Text] [PDF]