Literature DB >> 18469211

Transparency in risk communication: graphical and analog tools.

Elke Kurz-Milcke1, Gerd Gigerenzer, Laura Martignon.   

Abstract

Why is it that the public can read and write but only a few understand statistical information? Why are elementary distinctions, such as that between absolute and relative risks, not better known? In the absence of statistical literacy, key democratic ideals, such as informed consent and shared decision making in health care, will remain science fiction. In this chapter, we deal with tools for transparency in risk communication. The focus is on graphical and analog representations of risk. Analog representations use a separate icon or sign for each individual in a population. Like numerical representations, some graphical forms are transparent, whereas others indiscernibly mislead the reader. We review cases of (1) tree diagrams for representing natural versus relative frequency, (2) decision trees for the representation of fast and frugal decision making, (3) bar graphs for representing absolute versus relative risk, (4) population diagrams for the analog representation of risk, and (5) a format of representation that employs colored tinker cubes for the encoding of information about individuals in a population. Graphs have long enjoyed the status of being "worth a thousand words" and hence of being more readily accessible to human understanding than long-winded symbolic representations. This is both true and false. Graphical tools can be just as well employed for transparent and nontransparent risk communications.

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Year:  2008        PMID: 18469211     DOI: 10.1196/annals.1399.004

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  17 in total

1.  The placebo phenomenon: implications for the ethics of shared decision-making.

Authors:  Howard Brody; Luana Colloca; Franklin G Miller
Journal:  J Gen Intern Med       Date:  2012-01-19       Impact factor: 5.128

2.  SI RLTD: Risk Scores and Decision Making: The Anatomy of a Decision to Reduce Breast Cancer Risk.

Authors:  Christine Holmberg; Mary Daly; Worta McCaskill-Stevens
Journal:  J Nurs Healthc Chronic Illn       Date:  2010-12

3.  Benefits and harms of selective oestrogen receptor modulators (SERMs) to reduce breast cancer risk: a cross-sectional study of methods to communicate risk in primary care.

Authors:  Jennifer G McIntosh; Jesse Minshall; Sibel Saya; Adrian Bickerstaffe; Nadira Hewabandu; Ashleigh Qama; Jon D Emery
Journal:  Br J Gen Pract       Date:  2019-11-28       Impact factor: 5.386

4.  Lifetime risk for cancer death by sex and smoking status: the lifetime risk pooling project.

Authors:  Andrew Gawron; Lifang Hou; Hongyan Ning; Jarett D Berry; Donald M Lloyd-Jones
Journal:  Cancer Causes Control       Date:  2012-07-24       Impact factor: 2.506

5.  How well do commonly used data presentation formats support comparative effectiveness evaluations?

Authors:  James G Dolan; Feng Qian; Peter J Veazie
Journal:  Med Decis Making       Date:  2012-05-22       Impact factor: 2.583

6.  Cancer survivors: familial risk perception and management advice given to their relatives.

Authors:  Francois Eisinger; Anne Deborah Bouhnik; Laetitia Malavolti; Anne Gaelle Le Corroller-Soriano; Claire Julian-Reynier
Journal:  Fam Cancer       Date:  2011-03       Impact factor: 2.375

7.  Evaluation of the Quality of Online Information for Patients with Rare Cancers: Thyroid Cancer.

Authors:  Ulrike Kuenzel; Tabea Monga Sindeu; Sarah Schroth; Jutta Huebner; Natalie Herth
Journal:  J Cancer Educ       Date:  2018-10       Impact factor: 2.037

Review 8.  Impact of Contraceptive Education on Contraceptive Knowledge and Decision Making: A Systematic Review.

Authors:  Karen Pazol; Lauren B Zapata; Stephen J Tregear; Nancy Mautone-Smith; Loretta E Gavin
Journal:  Am J Prev Med       Date:  2015-08       Impact factor: 5.043

9.  Shared decision making in patients with stable coronary artery disease: PCI choice.

Authors:  Megan Coylewright; Kathy Shepel; Annie Leblanc; Laurie Pencille; Erik Hess; Nilay Shah; Victor M Montori; Henry H Ting
Journal:  PLoS One       Date:  2012-11-30       Impact factor: 3.240

10.  Health numeracy in Japan: measures of basic numeracy account for framing bias in a highly numerate population.

Authors:  Masako Okamoto; Yasushi Kyutoku; Manabu Sawada; Lester Clowney; Eiju Watanabe; Ippeita Dan; Keiko Kawamoto
Journal:  BMC Med Inform Decis Mak       Date:  2012-09-11       Impact factor: 2.796

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