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Open AccessJournal ArticleDOI

Numeric, Verbal, and Visual Formats of Conveying Health Risks: Suggested Best Practices and Future Recommendations

Isaac M. Lipkus
- 14 Sep 2007 - 
- Vol. 27, Iss: 5, pp 696-713
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TLDR
Best practices for conveying magnitude of health risks using numeric, verbal, and visual formats are offered and several recommendations are suggested for enhancing precision in perception of risk by presenting risk magnitudes numerically and visually.
Abstract
Perception of health risk can affect medical decisions and health behavior change Yet the concept of risk is a difficult one for the public to grasp Whether perceptions of risk affect decisions and behaviors often relies on how messages of risk magnitudes (ie, likelihood) are conveyed Based on expert opinion, this article offers, when possible, best practices for conveying magnitude of health risks using numeric, verbal, and visual formats This expert opinion is based on existing empirical evidence, review of papers and books, and consultations with experts in risk communication This article also discusses formats to use pertaining to unique risk communication challenges (eg, conveying small-probability events, interactions) Several recommendations are suggested for enhancing precision in perception of risk by presenting risk magnitudes numerically and visually Overall, there are little data to suggest best practices for verbal communication of risk magnitudes Across the 3 formats, few overall recommendations could be suggested because of 1) lack of consistency in testing formats using the same outcomes in the domain of interest, 2) lack of critical tests using randomized controlled studies pitting formats against one another, and 3) lack of theoretical progress detailing and testing mechanisms why one format should be more efficacious in a specific context to affect risk magnitudes than others Areas of future research are provided that it is hoped will help illuminate future best practices

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Citations
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How does communication heal? Pathways linking clinician-patient communication to health outcomes.

TL;DR: Clinicians and patients should maximize the therapeutic effects of communication by explicitly orienting communication to achieve intermediate outcomes associated with improved health.
Journal ArticleDOI

Helping Doctors and Patients Make Sense of Health Statistics

TL;DR: In this paper, the authors discuss the importance of teaching statistical thinking and transparent representations in primary and secondary education as well as in medical school, and recommend using frequency statements instead of single-event probabilities, absolute risks instead of relative risks, mortality rates instead of survival rates, and natural frequencies instead of conditional probabilities.

Health literacy interventions and outcomes: an updated systematic review.

TL;DR: Differences in health literacy level were consistently associated with increased hospitalizations, greater emergency care use, lower use of mammography, lower receipt of influenza vaccine, poorer ability to demonstrate taking medications appropriately, poorer able to interpret labels and health messages, and, among seniors, poorer overall health status and higher mortality.

Helping doctors and patients make sense of health statistics: towards an evidence-based society

TL;DR: Evidence is provided that statistical illiteracy is common to patients, journalists, and physicians and that information pamphlets, Web sites, leaflets distributed by the pharmaceutical industry, and even medical journals often report evidence in nontransparent forms that suggest big benefits of featured interventions and small harms.
Journal ArticleDOI

Progress in evidence-based medicine: a quarter century on.

TL;DR: Evidence-based medicine progressed to recognise limitations of evidence alone, and has increasingly stressed the need to combine critical appraisal of the evidence with patient's values and preferences through shared decision making.
References
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Book

Risk, Communication and Health Psychology

TL;DR: This book discusses risk communication in health by defining and explaining risk, and communicating probabilistic information and other risk scales and tools for aiding understanding of health related information.
Journal ArticleDOI

The drug facts box: providing consumers with simple tabular data on drug benefit and harm.

TL;DR: Most participants—even those with lower formal educational attainment—were able to understand and use the tabular data, and most participants were also able to use the table to make comparisons.
Journal ArticleDOI

What Do We Know About Making Risk Comparisons

TL;DR: The authors found no correlation between judgments of acceptability produced by their subjects and those predicted by Covello et al. They also asked four diverse groups of subjects to judge the acceptability of 14 statements produced by the authors as examples of their categories.
Book ChapterDOI

Toward a Model of Knowledge-Based Graph Comprehension

TL;DR: According to this model, knowledge-based graph comprehension involves an interaction of top-down and bottom up processes and several types of knowledge are brought to bear on graphs: domain knowledge, graphical skills, and explanatory skills.

Competing Conceptions of Risk

TL;DR: This article explored the potential for debate over competing philosophical conceptions of risk in the context of risk maximization and risk minimization, and proposed a framework to distinguish between the two notions of risk, based on the work of Shrader-Frechette.
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