Literature DB >> 18566487

The effect of graphical and numerical presentation of hypothetical prenatal diagnosis results on risk perception.

Michael Siegrist1, Pascale Orlow, Carmen Keller.   

Abstract

OBJECTIVE: To evaluate various formats for the communication of prenatal test results.
DESIGN: In study 1 (N=400), female students completed a questionnaire assessing risk perception, affect, and perceived usefulness of prenatal test results. A randomized, 2 (risk level; low, high) x 4 (format; ratio with numerator 1, ratio with denominator 1000, Paling Perspective Scale, pictograms) design was used. Study 2 (N=200) employed a 2 (risk level; low, high) x 2 (format; Paling Perspective Scale, risk comparisons in numerical format) design.
RESULTS: In study 1, the Paling Perspective Scale resulted in a higher level of perceived risk across different risk levels compared with the other formats. Furthermore, participants in the low-risk group perceived the test results as less risky compared with participants in the high-risk group (P < 0.001) when the Paling Perspective Scale was used. No significant differences between low and high risks were observed for the other 3 formats. In study 2, the Paling Perspective Scale evoked higher levels of perceived risks relative to the numerical presentation of risk comparisons. For both formats, we found that participants confronted with a high risk perceived test results as more risky compared with participants confronted with a low risk.
CONCLUSION: The Paling Perspective Scale resulted in a higher level of perceived risk compared with the other formats. This effect must be taken into account when choosing a graphical or numerical format for risk communication.

Entities:  

Mesh:

Year:  2008        PMID: 18566487     DOI: 10.1177/0272989X08315237

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  9 in total

1.  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

2.  Visual analogies, not graphs, increase patients' comprehension of changes in their health status.

Authors:  Meghan Reading Turchioe; Lisa V Grossman; Annie C Myers; Dawon Baik; Parag Goyal; Ruth M Masterson Creber
Journal:  J Am Med Inform Assoc       Date:  2020-05-01       Impact factor: 4.497

3.  Presenting self-monitoring test results for consumers: the effects of graphical formats and age.

Authors:  Da Tao; Juan Yuan; Xingda Qu
Journal:  J Am Med Inform Assoc       Date:  2018-08-01       Impact factor: 4.497

4.  The potential of a placebo/nocebo effect in pharmacogenetics.

Authors:  S B Haga; L R Warner; J O'Daniel
Journal:  Public Health Genomics       Date:  2009-02-10       Impact factor: 2.000

5.  The effectiveness of a graphical presentation in addition to a frequency format in the context of familial breast cancer risk communication: a multicenter controlled trial.

Authors:  Lidewij Henneman; Jan C Oosterwijk; Christi J van Asperen; Fred H Menko; Caroline F Ockhuysen-Vermey; Piet J Kostense; Liesbeth Claassen; Daniëlle Rm Timmermans
Journal:  BMC Med Inform Decis Mak       Date:  2013-04-29       Impact factor: 2.796

6.  Recommendations for malaria prevention in moderate to low risk areas: travellers' choice and risk perception.

Authors:  Rachel Voumard; Delphine Berthod; Clotilde Rambaud-Althaus; Valérie D'Acremont; Blaise Genton
Journal:  Malar J       Date:  2015-04-01       Impact factor: 2.979

7.  Introducing conjoint analysis method into delayed lotteries studies: its validity and time stability are higher than in adjusting.

Authors:  Michał Białek; Łukasz Markiewicz; Przemysław Sawicki
Journal:  Front Psychol       Date:  2015-01-28

8.  How Well Do COP22 Attendees Understand Graphs on Climate Change Health Impacts from the Fifth IPCC Assessment Report?

Authors:  Helen Fischer; Stefanie Schütte; Anneliese Depoux; Dorothee Amelung; Rainer Sauerborn
Journal:  Int J Environ Res Public Health       Date:  2018-04-27       Impact factor: 3.390

9.  Understanding test accuracy research: a test consequence graphic.

Authors:  Penny Whiting; Clare Davenport
Journal:  Diagn Progn Res       Date:  2018-02-01
  9 in total

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