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How Point (Single-Probability) Tasks Are Affected by Probability Format, Part 2: A Making Numbers Meaningful
Jessica S Ancker1, Natalie C Benda2, Mohit M Sharma3
1Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Different ways of presenting health data, like using "1 in X" formats or icon arrays, effectively change how people perceive probabilities. However, influencing actual health behaviors remains a challenge, with weak evidence on patient preferences for data formats.
Area of Science:
- Health Communication
- Risk Perception
- Behavioral Science
Background:
- The "Making Numbers Meaningful" review provides guidance on how data presentation formats impact health number comprehension.
- This article focuses on research examining "point tasks" where individuals extract information about single probabilities.
Purpose of the Study:
- To present evidence on how data presentation formats affect probability perceptions, feelings, health behaviors, trust, preferences, and discrimination outcomes.
- To synthesize findings from studies comparing different quantitative health information presentation formats for lay audiences.
Main Methods:
- Systematic review of experimental and quasi-experimental research comparing at least two data presentation formats.
- Inclusion of studies from multiple databases (MEDLINE, Embase, etc.) and hand searches.
- Extraction of data on stimulus (data format), task, and outcomes, reporting 466 findings from 161 articles.
Main Results:
- Moderate to strong evidence shows formats like "1 in X", icon arrays, bar charts, anecdotes, framing, and verbal probabilities influence probability perceptions and feelings.
- Only "1 in X" format, anecdotes, and framing demonstrated moderate to strong evidence in influencing health behaviors and intentions.
- Research on patient preferences for numerical, graphical, and verbal formats yielded only weak evidence.
Conclusions:
- The link between probability perception and health behavior is not strongly supported by current evidence, as many studies focus on short-term responses rather than long-term behaviors.
- Evidence on influencing health behaviors through number communication is weaker than evidence for influencing perceptions.
- Patient preferences for different numerical, graphical, and verbal probability formats lack strong evidence for stable and predictable patterns.
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