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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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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. |
format | Online Article Text |
id | pubmed-4045391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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