Misperception of Multiple Risks in Medical Decision-Making
Datos Bibliográficos
| ID | 11074809 |
|---|---|
| Autores | Mehdi Mourali (0000-0002-9969-3892, autor de correspondencia), Zhiyong Yang (0000-0001-8140-0062) |
| Editores | Margaret C Campbell (0000-0001-5259-1525), Stacy Wood (0000-0001-5256-1772), Nailya Ordabayeva (0000-0001-6764-2495) |
| Año | 2023 |
| Volumen | 50 |
| Número | 1 |
| Páginas | 25-47 |
| Fecha de publicación | 2023-05-15 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Journal of Consumer Research (JOURNAL) |
| Identificadores de la revista | ISSN: 0093-5301 • E-ISSN: 1537-5277 |
| Editorial | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/jcr/ucac040 |
| OpenAlex | W4296412296 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 49 |
How do consumers combine multiple risk items when forming overall risk judgments? Drawing on the fuzzy trace theory and categorical averaging, this research finds that adding a low-risk item to a high-risk item reduces the overall risk perception because people reason categorically about risk. They impose categorical distinctions on quantitative risk information, and when combining categorical information, they tend to average across categories instead of adding. Eight studies in the context of medical and health product decisions (N = 5,152) provide convergent evidence showing that when items in different risk tiers are considered together, they are consistently evaluated in a subtractive manner, leading to a higher likelihood of taking the objectively riskier medication (studies 1A, 1B, 1C, and 2). This effect is eliminated when the probability of one side effect is exceedingly high (study 3) or when the task requires reliance on verbatim representation of probabilities (study 4). The effect also disappears when risk information is presented graphically in a way that emphasizes the additive property of multiple risks (studies 5A and 5B). The findings have important implications for the fields of risk perception, risk communication, and consumer health and medical decision-making
Categorical variable · Cognitive psychology · Context (archaeology) · Economics · Environmental health · Health risk · Machine learning · Perception · Risk perception · Task (project management) · TRACE (psycholinguistics) · Behavioral Health and Interventions · Computer Science · Decision-Making and Behavioral Economics · Medicine · Psychology · Risk Perception and Management · Social Psychology
Averaging versus adding as a stimulus-combination rule in impression formation.
Fuzzy-trace theory
The Role of Numeracy in Understanding the Benefit of Screening Mammography
Design Features of Graphs in Health Risk Communication
Reasoning the fast and frugal way
A Theory of Medical Decision Making and Health
How People Make Decisions That Involve Risk
Numeracy, ratio bias, and denominator neglect in judgments of risk and probability
Numeric, Verbal, and Visual Formats of Conveying Health Risks
Measuring Risk Literacy
Lay American conceptions of nutrition
Perceptions of Multiple Risk Factors for Heart Attacks
Development and Testing of an Abbreviated Numeracy Scale
Do patients trust computers
Individual Differences in Graph Literacy
Fuzzy‐trace theory and framing effects in choice
Context and the interpretation of likelihood information
A case study of graduate admissions
Categories and Concepts
How numeracy influences risk comprehension and medical decision making
Risk (Mis)Perception
When Opposites Detract
The Effects of Frequency Knowledge on Consumer Decision Making
Do Consumers Evaluate Products by Adding or Averaging Attribute Information
| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2026 - 2026 (1) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |