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ERIC Number: EJ1264610
Record Type: Journal
Publication Date: 2018
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0888-4080
EISSN: N/A
Available Date: N/A
Effects of Probabilities, Adverse Outcomes, and Status Quo on Perceived Riskiness of Medications: Testing Explanatory Hypotheses Concerning Gist, Worry, and Numeracy
Applied Cognitive Psychology, v32 n6 p714-726 Nov-Dec 2018
We tested predictions of fuzzy-trace theory that qualitative health status and gist representations (ordinal and categorical) of risks contribute to willingness to start medications, beyond effects of objective risk, emotion (worry), and numeracy. Adults in two experiments were given hypothetical scenarios based on actual medications, varying health status quo (acceptable or unacceptable), adverse event (pneumonia or cancer), and four levels of quantitative risk (from 1/100,000 to 1/100) between subjects. In both experiments, cancer and higher quantitative risk elicited greater worry and risk perceptions and reduced willingness to start a new medication. Willingness to start was also influenced by health status quo. After controlling for other variables, only status quo and gist representations consistently predicted willingness to start in both experiments. Results support an integrated approach to understanding and predicting perceptions of the risks of medications that encompasses numerical cognition, emotions (such as worry), and qualitative gist representations of medical information.
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www-wiley-com.bibliotheek.ehb.be/en-us
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Institute of Food and Agriculture (USDA); National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) (NIH)
Authoring Institution: N/A
Grant or Contract Numbers: NYC321423; NYC321436; R01NR01436801; R21CA149796; AR06023102
Author Affiliations: N/A