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Oncologist use of the Adjuvant! model for risk communication: a pilot study examining patient knowledge of 10-year prognosis

BACKGROUND: Our purpose was to collect preliminary data on newly diagnosed breast cancer patient knowledge of prognosis before and after oncology visits. Many oncologists use a validated prognostic software model, Adjuvant!, to estimate 10-year recurrence and mortality outcomes for breast cancer loc...

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Autores principales: Belkora, Jeffrey K, Rugo, Hope S, Moore, Dan H, Hutton, David W, Chen, Daniel F, Esserman, Laura J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2684746/
https://www.ncbi.nlm.nih.gov/pubmed/19400938
http://dx.doi.org/10.1186/1471-2407-9-127
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author Belkora, Jeffrey K
Rugo, Hope S
Moore, Dan H
Hutton, David W
Chen, Daniel F
Esserman, Laura J
author_facet Belkora, Jeffrey K
Rugo, Hope S
Moore, Dan H
Hutton, David W
Chen, Daniel F
Esserman, Laura J
author_sort Belkora, Jeffrey K
collection PubMed
description BACKGROUND: Our purpose was to collect preliminary data on newly diagnosed breast cancer patient knowledge of prognosis before and after oncology visits. Many oncologists use a validated prognostic software model, Adjuvant!, to estimate 10-year recurrence and mortality outcomes for breast cancer local and adjuvant therapy. Some oncologists are printing Adjuvant! screens to use as visual aids during consultations. No study has reported how such use of Adjuvant! printouts affects patient knowledge of prognosis. We hypothesized that Adjuvant! printouts would be associated with significant changes in the proportion of patients with accurate understanding of local therapy prognosis. METHODS: We recruited a convenience sample of 20 patients seen by 2 senior oncologists using Adjuvant! printouts of recurrence and mortality screens in our academic medical center. We asked patients for their estimates of local therapy recurrence and mortality risks and counted the number of patients whose estimates were within ± 5% of Adjuvant! before and after the oncology visit, testing whether pre/post changes were significant using McNemar's two-sided test at a significance level of 5%. RESULTS: Two patients (10%) accurately estimated local therapy recurrence and mortality risks before the oncology visit, while seven out of twenty (35%) were accurate afterwards (p = 0.125). CONCLUSION: A majority of patients in our sample were inaccurate in estimating their local therapy recurrence and mortality risks, even after being shown printouts summarizing these risks during their oncology visits. Larger studies are needed to replicate or repudiate these preliminary findings, and test alternative methods of presenting risk estimates. Meanwhile, oncologists should be wary of relying exclusively on Adjuvant! printouts to communicate local therapy recurrence and mortality estimates to patients, as they may leave a majority of patients misinformed.
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spelling pubmed-26847462009-05-21 Oncologist use of the Adjuvant! model for risk communication: a pilot study examining patient knowledge of 10-year prognosis Belkora, Jeffrey K Rugo, Hope S Moore, Dan H Hutton, David W Chen, Daniel F Esserman, Laura J BMC Cancer Research Article BACKGROUND: Our purpose was to collect preliminary data on newly diagnosed breast cancer patient knowledge of prognosis before and after oncology visits. Many oncologists use a validated prognostic software model, Adjuvant!, to estimate 10-year recurrence and mortality outcomes for breast cancer local and adjuvant therapy. Some oncologists are printing Adjuvant! screens to use as visual aids during consultations. No study has reported how such use of Adjuvant! printouts affects patient knowledge of prognosis. We hypothesized that Adjuvant! printouts would be associated with significant changes in the proportion of patients with accurate understanding of local therapy prognosis. METHODS: We recruited a convenience sample of 20 patients seen by 2 senior oncologists using Adjuvant! printouts of recurrence and mortality screens in our academic medical center. We asked patients for their estimates of local therapy recurrence and mortality risks and counted the number of patients whose estimates were within ± 5% of Adjuvant! before and after the oncology visit, testing whether pre/post changes were significant using McNemar's two-sided test at a significance level of 5%. RESULTS: Two patients (10%) accurately estimated local therapy recurrence and mortality risks before the oncology visit, while seven out of twenty (35%) were accurate afterwards (p = 0.125). CONCLUSION: A majority of patients in our sample were inaccurate in estimating their local therapy recurrence and mortality risks, even after being shown printouts summarizing these risks during their oncology visits. Larger studies are needed to replicate or repudiate these preliminary findings, and test alternative methods of presenting risk estimates. Meanwhile, oncologists should be wary of relying exclusively on Adjuvant! printouts to communicate local therapy recurrence and mortality estimates to patients, as they may leave a majority of patients misinformed. BioMed Central 2009-04-28 /pmc/articles/PMC2684746/ /pubmed/19400938 http://dx.doi.org/10.1186/1471-2407-9-127 Text en Copyright ©2009 Belkora 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 Research Article
Belkora, Jeffrey K
Rugo, Hope S
Moore, Dan H
Hutton, David W
Chen, Daniel F
Esserman, Laura J
Oncologist use of the Adjuvant! model for risk communication: a pilot study examining patient knowledge of 10-year prognosis
title Oncologist use of the Adjuvant! model for risk communication: a pilot study examining patient knowledge of 10-year prognosis
title_full Oncologist use of the Adjuvant! model for risk communication: a pilot study examining patient knowledge of 10-year prognosis
title_fullStr Oncologist use of the Adjuvant! model for risk communication: a pilot study examining patient knowledge of 10-year prognosis
title_full_unstemmed Oncologist use of the Adjuvant! model for risk communication: a pilot study examining patient knowledge of 10-year prognosis
title_short Oncologist use of the Adjuvant! model for risk communication: a pilot study examining patient knowledge of 10-year prognosis
title_sort oncologist use of the adjuvant! model for risk communication: a pilot study examining patient knowledge of 10-year prognosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2684746/
https://www.ncbi.nlm.nih.gov/pubmed/19400938
http://dx.doi.org/10.1186/1471-2407-9-127
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