edoc-vmtest

Perceived breast cancer risk: Heuristic reasoning and search for a dominance structure

Katapodi, M. C. and Facione, N. C. and Humphreys, J. C. and Dodd, MJ.. (2005) Perceived breast cancer risk: Heuristic reasoning and search for a dominance structure. Social Science and Medicine, 60 (2). pp. 421-432.

[img] PDF
Restricted to Repository staff only

255Kb

Official URL: http://edoc.unibas.ch/57051/

Downloads: Statistics Overview

Abstract

Studies suggest that people construct their risk perceptions by using inferential rules called heuristics. The purpose of this study was to identify heuristics that influence perceived breast cancer risk. We examined 11 interviews from women of diverse ethnic/cultural backgrounds who were recruited from community settings. Narratives in which women elaborated about their own breast cancer risk were analyzed with Argument and Heuristic Reasoning Analysis methodology, which is based on applied logic. The availability, simulation, representativeness, affect, and perceived control heuristics, and search for a dominance structure were commonly used for making risk assessments. Risk assessments were based on experiences with an abnormal breast symptom, experiences with affected family members and friends, beliefs about living a healthy lifestyle, and trust in health providers. Assessment of the potential threat of a breast symptom was facilitated by the search for a dominance structure. Experiences with family members and friends were incorporated into risk assessments through the availability, simulation, representativeness, and affect heuristics. Mistrust in health providers led to an inappropriate dependence on the perceived control heuristic. Identified heuristics appear to create predictable biases and suggest that perceived breast cancer risk is based on common cognitive patterns.
Faculties and Departments:03 Faculty of Medicine > Departement Public Health > Ehemalige Einheiten Public Health > Pflegewissenschaft (Katapodi)
UniBasel Contributors:Katapodi, Maria C
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
ISSN:0037-7856
e-ISSN:1879-2987
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
Identification Number:
edoc DOI:
Last Modified:27 Nov 2017 08:04
Deposited On:27 Nov 2017 08:04

Repository Staff Only: item control page