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Investigating the presentation of uncertainty in an icon array: A randomized trial
BACKGROUND: Clinicians are often advised to use pictographs to communicate risk, but whether they offer benefits when communicating risk imprecision (e.g., 65%-79%) is unknown. PURPOSE: To test whether any of three approaches to visualizing imprecision would more effectively communicate breast and o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731905/ https://www.ncbi.nlm.nih.gov/pubmed/36518604 http://dx.doi.org/10.1016/j.pecinn.2021.100003 |
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author | Recchia, Gabriel Lawrence, Alice C.E. Freeman, Alexandra L.J. |
author_facet | Recchia, Gabriel Lawrence, Alice C.E. Freeman, Alexandra L.J. |
author_sort | Recchia, Gabriel |
collection | PubMed |
description | BACKGROUND: Clinicians are often advised to use pictographs to communicate risk, but whether they offer benefits when communicating risk imprecision (e.g., 65%-79%) is unknown. PURPOSE: To test whether any of three approaches to visualizing imprecision would more effectively communicate breast and ovarian cancer risk for BRCA1 pathogenic variant carriers. METHODS: 1,300 UK residents were presented with a genetic report with information about BRCA1-related risks, with random assignment to one of four formats: no visualization (text alone), or a pictograph using shaded icons, a gradient, or arrows marking range endpoints. We also tested pictographs in two layouts. Analysis of variance (ANOVA) and regression was employed. RESULTS: There was no effect of format. Participants shown pictographs vs. text alone had better uptake of breast cancer risk messages (p < .05, η(2) = 0.003). Pictographs facilitated memory for the specific amount of risk (p < 0.001, η(2) = 0.019), as did the tabular layout. Individuals not having completed upper secondary education may benefit most. CONCLUSIONS: We found weak evidence in favor of using simple pictographs with ranges to communicate BRCA risk (versus text alone), and of the tabular layout. INNOVATION: Testing different ways of communicating imprecision within pictographs is a novel and promising line of research. |
format | Online Article Text |
id | pubmed-9731905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-97319052022-12-12 Investigating the presentation of uncertainty in an icon array: A randomized trial Recchia, Gabriel Lawrence, Alice C.E. Freeman, Alexandra L.J. PEC Innov Full length article BACKGROUND: Clinicians are often advised to use pictographs to communicate risk, but whether they offer benefits when communicating risk imprecision (e.g., 65%-79%) is unknown. PURPOSE: To test whether any of three approaches to visualizing imprecision would more effectively communicate breast and ovarian cancer risk for BRCA1 pathogenic variant carriers. METHODS: 1,300 UK residents were presented with a genetic report with information about BRCA1-related risks, with random assignment to one of four formats: no visualization (text alone), or a pictograph using shaded icons, a gradient, or arrows marking range endpoints. We also tested pictographs in two layouts. Analysis of variance (ANOVA) and regression was employed. RESULTS: There was no effect of format. Participants shown pictographs vs. text alone had better uptake of breast cancer risk messages (p < .05, η(2) = 0.003). Pictographs facilitated memory for the specific amount of risk (p < 0.001, η(2) = 0.019), as did the tabular layout. Individuals not having completed upper secondary education may benefit most. CONCLUSIONS: We found weak evidence in favor of using simple pictographs with ranges to communicate BRCA risk (versus text alone), and of the tabular layout. INNOVATION: Testing different ways of communicating imprecision within pictographs is a novel and promising line of research. Elsevier 2021-10-30 /pmc/articles/PMC9731905/ /pubmed/36518604 http://dx.doi.org/10.1016/j.pecinn.2021.100003 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Full length article Recchia, Gabriel Lawrence, Alice C.E. Freeman, Alexandra L.J. Investigating the presentation of uncertainty in an icon array: A randomized trial |
title | Investigating the presentation of uncertainty in an icon array: A randomized trial |
title_full | Investigating the presentation of uncertainty in an icon array: A randomized trial |
title_fullStr | Investigating the presentation of uncertainty in an icon array: A randomized trial |
title_full_unstemmed | Investigating the presentation of uncertainty in an icon array: A randomized trial |
title_short | Investigating the presentation of uncertainty in an icon array: A randomized trial |
title_sort | investigating the presentation of uncertainty in an icon array: a randomized trial |
topic | Full length article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731905/ https://www.ncbi.nlm.nih.gov/pubmed/36518604 http://dx.doi.org/10.1016/j.pecinn.2021.100003 |
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