Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

SAGETRACK

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:
0272989X08329463v1
29/3/368    most recent
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
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 Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Galesic, M.
Right arrow Articles by Straubinger, N.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Galesic, M.
Right arrow Articles by Straubinger, N.
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?

Natural Frequencies Help Older Adults and People with Low Numeracy to Evaluate Medical Screening Tests

Mirta Galesic, PhD

Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Berlin, Germany, galesic{at}mpibberlin.mpg.de

Gerd Gigerenzer, PhD

Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Berlin, Germany

Nils Straubinger

Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Berlin, Germany

Background. Understanding information about medical screening tests often requires estimating positive predictive values (i.e., posterior probabilities), which is a notoriously difficult task. Previous studies have shown that representation of information in terms of natural frequencies (i.e., counts of occurrences that preserve base rates) facilitates judgments of positive predictive values. The objective of this study was to investigate whether natural frequencies facilitate accurate estimates in elderly people and whether performance depends on numeracy skills. Elderly people are more often than younger people required to use such information to make informed choices regarding medical procedures (e.g., screenings). Method. This was an experimental study in which information about 2 medical screening tests was presented either as conditional probabilities or natural frequencies. Participants were 47 older adults (62—77 years of age; average numeracy score 8.6) and 115 younger adults (18—35 years of age; average numeracy score 10.3). Results. When the screening information was presented in terms of conditional probabilities, only 15% of the younger adults and 18% of the older adults provided accurate estimates in at least 1 of the tasks. When information was presented in terms of natural frequencies, 55% of the younger adults and 58% of the elderly participants gave correct estimates. This effect occurred without explicit training. Furthermore, participants with higher numeracy scores performed better in the estimation tasks than those with lower numeracy scores. Conclusions. Natural frequencies help elderly and young patients—including those with lower numeracy skills—to understand positive predictive values of medical screening tests.

Key Words: natural frequencies • conditional probabilities • medical screening tests • older adults • numeracy.

This version was published on May 1, 2009

Medical Decision Making, Vol. 29, No. 3, 368-371 (2009)
DOI: 10.1177/0272989X08329463


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?