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Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers

BACKGROUND: Making evidence-based decisions often requires comparison of two or more options. Research-based evidence may exist which quantifies how likely the outcomes are for each option. Understanding these numeric estimates improves patients’ risk perception and leads to better informed decision...

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Autores principales: Trevena, Lyndal J, Zikmund-Fisher, Brian J, Edwards, Adrian, Gaissmaier, Wolfgang, Galesic, Mirta, Han, Paul KJ, King, John, Lawson, Margaret L, Linder, Suzanne K, Lipkus, Isaac, Ozanne, Elissa, Peters, Ellen, Timmermans, Danielle, Woloshin, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4045391/
https://www.ncbi.nlm.nih.gov/pubmed/24625237
http://dx.doi.org/10.1186/1472-6947-13-S2-S7
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author Trevena, Lyndal J
Zikmund-Fisher, Brian J
Edwards, Adrian
Gaissmaier, Wolfgang
Galesic, Mirta
Han, Paul KJ
King, John
Lawson, Margaret L
Linder, Suzanne K
Lipkus, Isaac
Ozanne, Elissa
Peters, Ellen
Timmermans, Danielle
Woloshin, Steven
author_facet Trevena, Lyndal J
Zikmund-Fisher, Brian J
Edwards, Adrian
Gaissmaier, Wolfgang
Galesic, Mirta
Han, Paul KJ
King, John
Lawson, Margaret L
Linder, Suzanne K
Lipkus, Isaac
Ozanne, Elissa
Peters, Ellen
Timmermans, Danielle
Woloshin, Steven
author_sort Trevena, Lyndal J
collection PubMed
description BACKGROUND: Making evidence-based decisions often requires comparison of two or more options. Research-based evidence may exist which quantifies how likely the outcomes are for each option. Understanding these numeric estimates improves patients’ risk perception and leads to better informed decision making. This paper summarises current “best practices” in communication of evidence-based numeric outcomes for developers of patient decision aids (PtDAs) and other health communication tools. METHOD: An expert consensus group of fourteen researchers from North America, Europe, and Australasia identified eleven main issues in risk communication. Two experts for each issue wrote a “state of the art” summary of best evidence, drawing on the PtDA, health, psychological, and broader scientific literature. In addition, commonly used terms were defined and a set of guiding principles and key messages derived from the results. RESULTS: The eleven key components of risk communication were: 1) Presenting the chance an event will occur; 2) Presenting changes in numeric outcomes; 3) Outcome estimates for test and screening decisions; 4) Numeric estimates in context and with evaluative labels; 5) Conveying uncertainty; 6) Visual formats; 7) Tailoring estimates; 8) Formats for understanding outcomes over time; 9) Narrative methods for conveying the chance of an event; 10) Important skills for understanding numerical estimates; and 11) Interactive web-based formats. Guiding principles from the evidence summaries advise that risk communication formats should reflect the task required of the user, should always define a relevant reference class (i.e., denominator) over time, should aim to use a consistent format throughout documents, should avoid “1 in x” formats and variable denominators, consider the magnitude of numbers used and the possibility of format bias, and should take into account the numeracy and graph literacy of the audience. CONCLUSION: A substantial and rapidly expanding evidence base exists for risk communication. Developers of tools to facilitate evidence-based decision making should apply these principles to improve the quality of risk communication in practice.
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spelling pubmed-40453912014-06-20 Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers Trevena, Lyndal J Zikmund-Fisher, Brian J Edwards, Adrian Gaissmaier, Wolfgang Galesic, Mirta Han, Paul KJ King, John Lawson, Margaret L Linder, Suzanne K Lipkus, Isaac Ozanne, Elissa Peters, Ellen Timmermans, Danielle Woloshin, Steven BMC Med Inform Decis Mak Review BACKGROUND: Making evidence-based decisions often requires comparison of two or more options. Research-based evidence may exist which quantifies how likely the outcomes are for each option. Understanding these numeric estimates improves patients’ risk perception and leads to better informed decision making. This paper summarises current “best practices” in communication of evidence-based numeric outcomes for developers of patient decision aids (PtDAs) and other health communication tools. METHOD: An expert consensus group of fourteen researchers from North America, Europe, and Australasia identified eleven main issues in risk communication. Two experts for each issue wrote a “state of the art” summary of best evidence, drawing on the PtDA, health, psychological, and broader scientific literature. In addition, commonly used terms were defined and a set of guiding principles and key messages derived from the results. RESULTS: The eleven key components of risk communication were: 1) Presenting the chance an event will occur; 2) Presenting changes in numeric outcomes; 3) Outcome estimates for test and screening decisions; 4) Numeric estimates in context and with evaluative labels; 5) Conveying uncertainty; 6) Visual formats; 7) Tailoring estimates; 8) Formats for understanding outcomes over time; 9) Narrative methods for conveying the chance of an event; 10) Important skills for understanding numerical estimates; and 11) Interactive web-based formats. Guiding principles from the evidence summaries advise that risk communication formats should reflect the task required of the user, should always define a relevant reference class (i.e., denominator) over time, should aim to use a consistent format throughout documents, should avoid “1 in x” formats and variable denominators, consider the magnitude of numbers used and the possibility of format bias, and should take into account the numeracy and graph literacy of the audience. CONCLUSION: A substantial and rapidly expanding evidence base exists for risk communication. Developers of tools to facilitate evidence-based decision making should apply these principles to improve the quality of risk communication in practice. BioMed Central 2013-11-29 /pmc/articles/PMC4045391/ /pubmed/24625237 http://dx.doi.org/10.1186/1472-6947-13-S2-S7 Text en Copyright © 2013 Trevena et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Trevena, Lyndal J
Zikmund-Fisher, Brian J
Edwards, Adrian
Gaissmaier, Wolfgang
Galesic, Mirta
Han, Paul KJ
King, John
Lawson, Margaret L
Linder, Suzanne K
Lipkus, Isaac
Ozanne, Elissa
Peters, Ellen
Timmermans, Danielle
Woloshin, Steven
Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers
title Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers
title_full Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers
title_fullStr Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers
title_full_unstemmed Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers
title_short Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers
title_sort presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4045391/
https://www.ncbi.nlm.nih.gov/pubmed/24625237
http://dx.doi.org/10.1186/1472-6947-13-S2-S7
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