Identifying patient preferences for communicating risk estimates: A descriptive pilot study

<p>Abstract</p> <p>Background</p> <p>Patients increasingly seek more active involvement in health care decisions, but little is known about how to communicate complex risk information to patients. The objective of this study was to elicit patient preferences for the pre...

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Main Authors: O'Connor Annette M, Bond Barbara E, Hirota Linda K, Fortin Jennifer M, Col Nananda F
Format: Article
Language:English
Published: BMC 2001-08-01
Series:BMC Medical Informatics and Decision Making
Online Access:http://www.biomedcentral.com/1472-6947/1/2
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spelling doaj-05922e70f5374387ace6e6c3395deaeb2020-11-25T00:40:32ZengBMCBMC Medical Informatics and Decision Making1472-69472001-08-0111210.1186/1472-6947-1-2Identifying patient preferences for communicating risk estimates: A descriptive pilot studyO'Connor Annette MBond Barbara EHirota Linda KFortin Jennifer MCol Nananda F<p>Abstract</p> <p>Background</p> <p>Patients increasingly seek more active involvement in health care decisions, but little is known about how to communicate complex risk information to patients. The objective of this study was to elicit patient preferences for the presentation and framing of complex risk information.</p> <p>Method</p> <p>To accomplish this, eight focus group discussions and 15 one-on-one interviews were conducted, where women were presented with risk data in a variety of different graphical formats, metrics, and time horizons. Risk data were based on a hypothetical woman's risk for coronary heart disease, hip fracture, and breast cancer, with and without hormone replacement therapy. Participants' preferences were assessed using likert scales, ranking, and abstractions of focus group discussions.</p> <p>Results</p> <p>Forty peri- and postmenopausal women were recruited through hospital fliers (n = 25) and a community health fair (n = 15). Mean age was 51 years, 50% were non-Caucasian, and all had completed high school. Bar graphs were preferred by 83% of participants over line graphs, thermometer graphs, 100 representative faces, and survival curves. Lifetime risk estimates were preferred over 10 or 20-year horizons, and absolute risks were preferred over relative risks and number needed to treat.</p> <p>Conclusion</p> <p>Although there are many different formats for presenting and framing risk information, simple bar charts depicting absolute lifetime risk were rated and ranked highest overall for patient preferences for format.</p> http://www.biomedcentral.com/1472-6947/1/2
collection DOAJ
language English
format Article
sources DOAJ
author O'Connor Annette M
Bond Barbara E
Hirota Linda K
Fortin Jennifer M
Col Nananda F
spellingShingle O'Connor Annette M
Bond Barbara E
Hirota Linda K
Fortin Jennifer M
Col Nananda F
Identifying patient preferences for communicating risk estimates: A descriptive pilot study
BMC Medical Informatics and Decision Making
author_facet O'Connor Annette M
Bond Barbara E
Hirota Linda K
Fortin Jennifer M
Col Nananda F
author_sort O'Connor Annette M
title Identifying patient preferences for communicating risk estimates: A descriptive pilot study
title_short Identifying patient preferences for communicating risk estimates: A descriptive pilot study
title_full Identifying patient preferences for communicating risk estimates: A descriptive pilot study
title_fullStr Identifying patient preferences for communicating risk estimates: A descriptive pilot study
title_full_unstemmed Identifying patient preferences for communicating risk estimates: A descriptive pilot study
title_sort identifying patient preferences for communicating risk estimates: a descriptive pilot study
publisher BMC
series BMC Medical Informatics and Decision Making
issn 1472-6947
publishDate 2001-08-01
description <p>Abstract</p> <p>Background</p> <p>Patients increasingly seek more active involvement in health care decisions, but little is known about how to communicate complex risk information to patients. The objective of this study was to elicit patient preferences for the presentation and framing of complex risk information.</p> <p>Method</p> <p>To accomplish this, eight focus group discussions and 15 one-on-one interviews were conducted, where women were presented with risk data in a variety of different graphical formats, metrics, and time horizons. Risk data were based on a hypothetical woman's risk for coronary heart disease, hip fracture, and breast cancer, with and without hormone replacement therapy. Participants' preferences were assessed using likert scales, ranking, and abstractions of focus group discussions.</p> <p>Results</p> <p>Forty peri- and postmenopausal women were recruited through hospital fliers (n = 25) and a community health fair (n = 15). Mean age was 51 years, 50% were non-Caucasian, and all had completed high school. Bar graphs were preferred by 83% of participants over line graphs, thermometer graphs, 100 representative faces, and survival curves. Lifetime risk estimates were preferred over 10 or 20-year horizons, and absolute risks were preferred over relative risks and number needed to treat.</p> <p>Conclusion</p> <p>Although there are many different formats for presenting and framing risk information, simple bar charts depicting absolute lifetime risk were rated and ranked highest overall for patient preferences for format.</p>
url http://www.biomedcentral.com/1472-6947/1/2
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