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How Should the Impact of Different Presentations of Treatment Effects on Patient Choice Be Evaluated? A Pilot Randomized Trial

BACKGROUND: Different presentations of treatment effects can affect decisions. However, previous studies have not evaluated which presentations best help people make decisions that are consistent with their own values. We undertook a pilot study to compare different methods for doing this. METHODS A...

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Autores principales: Carling, Cheryl, Kristoffersen, Doris Tove, Herrin, Jeph, Treweek, Shaun, Oxman, Andrew D., Schünemann, Holger, Akl, Elie A., Montori, Victor
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2585274/
https://www.ncbi.nlm.nih.gov/pubmed/19030110
http://dx.doi.org/10.1371/journal.pone.0003693
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author Carling, Cheryl
Kristoffersen, Doris Tove
Herrin, Jeph
Treweek, Shaun
Oxman, Andrew D.
Schünemann, Holger
Akl, Elie A.
Montori, Victor
author_facet Carling, Cheryl
Kristoffersen, Doris Tove
Herrin, Jeph
Treweek, Shaun
Oxman, Andrew D.
Schünemann, Holger
Akl, Elie A.
Montori, Victor
author_sort Carling, Cheryl
collection PubMed
description BACKGROUND: Different presentations of treatment effects can affect decisions. However, previous studies have not evaluated which presentations best help people make decisions that are consistent with their own values. We undertook a pilot study to compare different methods for doing this. METHODS AND FINDINGS: We conducted an Internet-based randomized trial comparing summary statistics for communicating the effects of statins on the risk of coronary heart disease (CHD). Participants rated the relative importance of treatment consequences using visual analogue scales (VAS) and category rating scales (CRS) with five response options. We randomized participants to either VAS or CRS first and to one of six summary statistics: relative risk reduction (RRR) and five absolute measures of effect: absolute risk reduction, number needed to treat, event rates, tablets needed to take, and natural frequencies (whole numbers). We used logistic regression to determine the association between participants' elicited values and treatment choices. 770 participants age 18 or over and literate in English completed the study. In all, 13% in the VAS-first group failed to complete their VAS rating, while 9% of the CRS-first group failed to complete their scoring (p = 0.03). Different ways of weighting the elicited values had little impact on the analyses comparing the different presentations. Most (51%) preferred the RRR compared to the other five summary statistics (1% to 25%, p = 0.074). However, decisions in the group presented the RRR deviated substantially from those made in the other five groups. The odds of participants in the RRR group deciding to take statins were 3.1 to 5.8 times that of those in the other groups across a wide range of values (p = 0.0007). Participants with a scientific background, who were more numerate or had more years of education were more likely to decide not to take statins. CONCLUSIONS: Internet-based trials comparing different presentations of treatment effects are feasible, but recruiting participants is a major challenge. Despite a slightly higher response rate for CRS, VAS is preferable to avoid approximation of a continuous variable. Although most participants preferred the RRR, participants shown the RRR were more likely to decide to take statins regardless of their values compared with participants who were shown any of the five other summary statistics. TRIAL REGISTRATION: Controlled-Trials.com ISRCTN85194921
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spelling pubmed-25852742008-11-24 How Should the Impact of Different Presentations of Treatment Effects on Patient Choice Be Evaluated? A Pilot Randomized Trial Carling, Cheryl Kristoffersen, Doris Tove Herrin, Jeph Treweek, Shaun Oxman, Andrew D. Schünemann, Holger Akl, Elie A. Montori, Victor PLoS One Research Article BACKGROUND: Different presentations of treatment effects can affect decisions. However, previous studies have not evaluated which presentations best help people make decisions that are consistent with their own values. We undertook a pilot study to compare different methods for doing this. METHODS AND FINDINGS: We conducted an Internet-based randomized trial comparing summary statistics for communicating the effects of statins on the risk of coronary heart disease (CHD). Participants rated the relative importance of treatment consequences using visual analogue scales (VAS) and category rating scales (CRS) with five response options. We randomized participants to either VAS or CRS first and to one of six summary statistics: relative risk reduction (RRR) and five absolute measures of effect: absolute risk reduction, number needed to treat, event rates, tablets needed to take, and natural frequencies (whole numbers). We used logistic regression to determine the association between participants' elicited values and treatment choices. 770 participants age 18 or over and literate in English completed the study. In all, 13% in the VAS-first group failed to complete their VAS rating, while 9% of the CRS-first group failed to complete their scoring (p = 0.03). Different ways of weighting the elicited values had little impact on the analyses comparing the different presentations. Most (51%) preferred the RRR compared to the other five summary statistics (1% to 25%, p = 0.074). However, decisions in the group presented the RRR deviated substantially from those made in the other five groups. The odds of participants in the RRR group deciding to take statins were 3.1 to 5.8 times that of those in the other groups across a wide range of values (p = 0.0007). Participants with a scientific background, who were more numerate or had more years of education were more likely to decide not to take statins. CONCLUSIONS: Internet-based trials comparing different presentations of treatment effects are feasible, but recruiting participants is a major challenge. Despite a slightly higher response rate for CRS, VAS is preferable to avoid approximation of a continuous variable. Although most participants preferred the RRR, participants shown the RRR were more likely to decide to take statins regardless of their values compared with participants who were shown any of the five other summary statistics. TRIAL REGISTRATION: Controlled-Trials.com ISRCTN85194921 Public Library of Science 2008-11-24 /pmc/articles/PMC2585274/ /pubmed/19030110 http://dx.doi.org/10.1371/journal.pone.0003693 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
Kristoffersen, Doris Tove
Herrin, Jeph
Treweek, Shaun
Oxman, Andrew D.
Schünemann, Holger
Akl, Elie A.
Montori, Victor
How Should the Impact of Different Presentations of Treatment Effects on Patient Choice Be Evaluated? A Pilot Randomized Trial
title How Should the Impact of Different Presentations of Treatment Effects on Patient Choice Be Evaluated? A Pilot Randomized Trial
title_full How Should the Impact of Different Presentations of Treatment Effects on Patient Choice Be Evaluated? A Pilot Randomized Trial
title_fullStr How Should the Impact of Different Presentations of Treatment Effects on Patient Choice Be Evaluated? A Pilot Randomized Trial
title_full_unstemmed How Should the Impact of Different Presentations of Treatment Effects on Patient Choice Be Evaluated? A Pilot Randomized Trial
title_short How Should the Impact of Different Presentations of Treatment Effects on Patient Choice Be Evaluated? A Pilot Randomized Trial
title_sort how should the impact of different presentations of treatment effects on patient choice be evaluated? a pilot randomized trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2585274/
https://www.ncbi.nlm.nih.gov/pubmed/19030110
http://dx.doi.org/10.1371/journal.pone.0003693
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