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The Effect of Alternative Summary Statistics for Communicating Risk Reduction on Decisions about Taking Statins: A Randomized Trial

BACKGROUND: While different ways of presenting treatment effects can affect health care decisions, little is known about which presentations best help people make decisions consistent with their own values. We compared six summary statistics for communicating coronary heart disease (CHD) risk reduct...

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Autores principales: Carling, Cheryl L. L., Kristoffersen, Doris Tove, Montori, Victor M., Herrin, Jeph, Schünemann, Holger J., Treweek, Shaun, Akl, Elie A., Oxman, Andrew D.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2724738/
https://www.ncbi.nlm.nih.gov/pubmed/19707575
http://dx.doi.org/10.1371/journal.pmed.1000134
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author Carling, Cheryl L. L.
Kristoffersen, Doris Tove
Montori, Victor M.
Herrin, Jeph
Schünemann, Holger J.
Treweek, Shaun
Akl, Elie A.
Oxman, Andrew D.
author_facet Carling, Cheryl L. L.
Kristoffersen, Doris Tove
Montori, Victor M.
Herrin, Jeph
Schünemann, Holger J.
Treweek, Shaun
Akl, Elie A.
Oxman, Andrew D.
author_sort Carling, Cheryl L. L.
collection PubMed
description BACKGROUND: While different ways of presenting treatment effects can affect health care decisions, little is known about which presentations best help people make decisions consistent with their own values. We compared six summary statistics for communicating coronary heart disease (CHD) risk reduction with statins: relative risk reduction and five absolute summary measures—absolute risk reduction, number needed to treat, event rates, tablets needed to take, and natural frequencies. METHODS AND FINDINGS: We conducted a randomized trial to determine which presentation resulted in choices most consistent with participants' values. We recruited adult volunteers who participated through an interactive Web site. Participants rated the relative importance of outcomes using visual analogue scales (VAS). We then randomized participants to one of the six summary statistics and asked them to choose whether to take statins based on this information. We calculated a relative importance score (RIS) by subtracting the VAS scores for the downsides of taking statins from the VAS score for CHD. We used logistic regression to determine the association between participants' RIS and their choice. 2,978 participants completed the study. Relative risk reduction resulted in a 21% higher probability of choosing to take statins over all values of RIS compared to the absolute summary statistics. This corresponds to a number needed to treat (NNT) of 5; i.e., for every five participants shown the relative risk reduction one additional participant chose to take statins, compared to the other summary statistics. There were no significant differences among the absolute summary statistics in the association between RIS and participants' decisions whether to take statins. Natural frequencies were best understood (86% reported they understood them well or very well), and participants were most satisfied with this information. CONCLUSIONS: Presenting the benefits of taking statins as a relative risk reduction increases the likelihood of people accepting treatment compared to presenting absolute summary statistics, independent of the relative importance they attach to the consequences. Natural frequencies may be the most suitable summary statistic for presenting treatment effects, based on self-reported preference, understanding of and satisfaction with the information, and confidence in the decision. CLINICAL TRIALS REGISTRATION: ISRCTN85194921 Please see later in the article for the Editors' Summary
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spelling pubmed-27247382009-08-25 The Effect of Alternative Summary Statistics for Communicating Risk Reduction on Decisions about Taking Statins: A Randomized Trial Carling, Cheryl L. L. Kristoffersen, Doris Tove Montori, Victor M. Herrin, Jeph Schünemann, Holger J. Treweek, Shaun Akl, Elie A. Oxman, Andrew D. PLoS Med Research Article BACKGROUND: While different ways of presenting treatment effects can affect health care decisions, little is known about which presentations best help people make decisions consistent with their own values. We compared six summary statistics for communicating coronary heart disease (CHD) risk reduction with statins: relative risk reduction and five absolute summary measures—absolute risk reduction, number needed to treat, event rates, tablets needed to take, and natural frequencies. METHODS AND FINDINGS: We conducted a randomized trial to determine which presentation resulted in choices most consistent with participants' values. We recruited adult volunteers who participated through an interactive Web site. Participants rated the relative importance of outcomes using visual analogue scales (VAS). We then randomized participants to one of the six summary statistics and asked them to choose whether to take statins based on this information. We calculated a relative importance score (RIS) by subtracting the VAS scores for the downsides of taking statins from the VAS score for CHD. We used logistic regression to determine the association between participants' RIS and their choice. 2,978 participants completed the study. Relative risk reduction resulted in a 21% higher probability of choosing to take statins over all values of RIS compared to the absolute summary statistics. This corresponds to a number needed to treat (NNT) of 5; i.e., for every five participants shown the relative risk reduction one additional participant chose to take statins, compared to the other summary statistics. There were no significant differences among the absolute summary statistics in the association between RIS and participants' decisions whether to take statins. Natural frequencies were best understood (86% reported they understood them well or very well), and participants were most satisfied with this information. CONCLUSIONS: Presenting the benefits of taking statins as a relative risk reduction increases the likelihood of people accepting treatment compared to presenting absolute summary statistics, independent of the relative importance they attach to the consequences. Natural frequencies may be the most suitable summary statistic for presenting treatment effects, based on self-reported preference, understanding of and satisfaction with the information, and confidence in the decision. CLINICAL TRIALS REGISTRATION: ISRCTN85194921 Please see later in the article for the Editors' Summary Public Library of Science 2009-08-25 /pmc/articles/PMC2724738/ /pubmed/19707575 http://dx.doi.org/10.1371/journal.pmed.1000134 Text en Carling et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Carling, Cheryl L. L.
Kristoffersen, Doris Tove
Montori, Victor M.
Herrin, Jeph
Schünemann, Holger J.
Treweek, Shaun
Akl, Elie A.
Oxman, Andrew D.
The Effect of Alternative Summary Statistics for Communicating Risk Reduction on Decisions about Taking Statins: A Randomized Trial
title The Effect of Alternative Summary Statistics for Communicating Risk Reduction on Decisions about Taking Statins: A Randomized Trial
title_full The Effect of Alternative Summary Statistics for Communicating Risk Reduction on Decisions about Taking Statins: A Randomized Trial
title_fullStr The Effect of Alternative Summary Statistics for Communicating Risk Reduction on Decisions about Taking Statins: A Randomized Trial
title_full_unstemmed The Effect of Alternative Summary Statistics for Communicating Risk Reduction on Decisions about Taking Statins: A Randomized Trial
title_short The Effect of Alternative Summary Statistics for Communicating Risk Reduction on Decisions about Taking Statins: A Randomized Trial
title_sort effect of alternative summary statistics for communicating risk reduction on decisions about taking statins: a randomized trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2724738/
https://www.ncbi.nlm.nih.gov/pubmed/19707575
http://dx.doi.org/10.1371/journal.pmed.1000134
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