Literature DB >> 15827666

Risk perception is affected by modes of risk presentation among Singaporeans.

S B Tan1, C Goh, J Thumboo, W Che, B Chowbay, Y B Cheung.   

Abstract

INTRODUCTION: Not much is known about how Singaporeans perceive and react to risk presentation. There is no consensus on whether the European Union guidelines for describing the risk of side effects are valid. This study investigated the effect of different modes of risk presentation on how Singaporeans perceive and react to medical risk. Furthermore, we investigated the practical usage of qualitative phrases, the European Union's adjectives in particular, in describing levels of risk.
MATERIALS AND METHODS: A hypothetical situation about the risk of side effects of an influenza vaccine was presented in either a probability format (i.e., 5%; n = 42) or a frequency format (i.e., 1 out of 20; n = 43). The 2 versions of questionnaire were handed out in an alternate order to a convenience sample of 47 healthcare professionals and 38 university students.
RESULTS: Respondents presented with a "5% risk" were more likely to describe the risk as "uncommon" or "rare", as compared to respondents presented with a risk of "one out of twenty" (P <0.01). Furthermore, the former showed more willingness to accept the influenza vaccine described in the hypothetical situation than in the latter, but this was not statistically different (67% versus 54%; P >0.1).
CONCLUSIONS: Modes of risk presentation affect how people perceive risk, even among people who are highly educated.

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Year:  2005        PMID: 15827666

Source DB:  PubMed          Journal:  Ann Acad Med Singapore        ISSN: 0304-4602            Impact factor:   2.473


  6 in total

1.  Presenting Numeric Information with Percentages and Descriptive Risk Labels: A Randomized Trial.

Authors:  Aleksandr Sinayev; Ellen Peters; Martin Tusler; Liana Fraenkel
Journal:  Med Decis Making       Date:  2015-05-07       Impact factor: 2.583

2.  Risk communication in clinical trials: a cognitive experiment and a survey.

Authors:  Yin Bun Cheung; Hwee Lin Wee; Julian Thumboo; Cynthia Goh; Ricardo Pietrobon; Han Chong Toh; Yu Fen Yong; Say Beng Tan
Journal:  BMC Med Inform Decis Mak       Date:  2010-09-27       Impact factor: 2.796

3.  Saudi young patient understanding of information about side effects: Verbal versus numerical expression.

Authors:  L Al Juffali; O Al Omran; S Al Aqeel
Journal:  Saudi Pharm J       Date:  2013-01-20       Impact factor: 4.330

Review 4.  Mortality with upper gastrointestinal bleeding and perforation: effects of time and NSAID use.

Authors:  Sebastian Straube; Martin R Tramèr; R Andrew Moore; Sheena Derry; Henry J McQuay
Journal:  BMC Gastroenterol       Date:  2009-06-05       Impact factor: 3.067

Review 5.  What do we know about communicating risk? A brief review and suggestion for contextualising serious, but rare, risk, and the example of cox-2 selective and non-selective NSAIDs.

Authors:  R Andrew Moore; Sheena Derry; Henry J McQuay; John Paling
Journal:  Arthritis Res Ther       Date:  2008-02-07       Impact factor: 5.156

Review 6.  A systematic review of factors associated with side-effect expectations from medical interventions.

Authors:  Louise E Smith; Rebecca K Webster; G James Rubin
Journal:  Health Expect       Date:  2020-04-13       Impact factor: 3.377

  6 in total

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