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Demographic, health, and attitudinal factors predictive of cancer screening decisions in older adults

Many older adults receive routine cancer screening even when it is no longer recommended. We sought to identify demographic, health-related, and attitudinal factors that are most predictive of continued breast, colorectal, and prostate cancer screening decisions in older adults under various scenari...

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Autores principales: Schoenborn, Nancy L., Xue, Qian-Li, Pollack, Craig E., Janssen, Ellen M., Bridges, John F.P., Wolff, Antonio C., Boyd, Cynthia M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350222/
https://www.ncbi.nlm.nih.gov/pubmed/30719405
http://dx.doi.org/10.1016/j.pmedr.2019.01.007
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author Schoenborn, Nancy L.
Xue, Qian-Li
Pollack, Craig E.
Janssen, Ellen M.
Bridges, John F.P.
Wolff, Antonio C.
Boyd, Cynthia M.
author_facet Schoenborn, Nancy L.
Xue, Qian-Li
Pollack, Craig E.
Janssen, Ellen M.
Bridges, John F.P.
Wolff, Antonio C.
Boyd, Cynthia M.
author_sort Schoenborn, Nancy L.
collection PubMed
description Many older adults receive routine cancer screening even when it is no longer recommended. We sought to identify demographic, health-related, and attitudinal factors that are most predictive of continued breast, colorectal, and prostate cancer screening decisions in older adults under various scenarios. A sample of adults age 65+ (n = 1272) were recruited from a nationally representative panel in November 2016, of which 881 (69.3%) completed our survey. Participants were presented vignettes in which we experimentally varied a hypothetical patient's life expectancy, age, quality of life, and physician screening recommendation. The dependent variable was the choice to continue cancer screening in the vignette. Classification and regression tree (CART) analysis was used to identify characteristics most predictive of screening decisions; both the participants' characteristics and the hypothetical patient's characteristics in the vignettes were included in the analysis. CART analysis uses recursive partitioning to create a classification tree in which variables predictive of the outcome are included as hierarchical tree nodes. We used automated ten-fold cross-validation to select the tree with lowest misclassification and highest predictive accuracy. Participants' attitude towards cancer screening was most predictive of choosing screening. Among those who agreed with the statement “I plan to get screened for cancer for as long as I live” (n = 300, 31.9%), 73.2% chose screening and 57.2% would still choose screening if hypothetical patient had 1-year life expectancy. For this subset of older adults with enthusiasm towards screening even when presented with scenario involving limited life expectancy, efforts are needed to improve informed decision-making about screening.
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spelling pubmed-63502222019-02-04 Demographic, health, and attitudinal factors predictive of cancer screening decisions in older adults Schoenborn, Nancy L. Xue, Qian-Li Pollack, Craig E. Janssen, Ellen M. Bridges, John F.P. Wolff, Antonio C. Boyd, Cynthia M. Prev Med Rep Regular Article Many older adults receive routine cancer screening even when it is no longer recommended. We sought to identify demographic, health-related, and attitudinal factors that are most predictive of continued breast, colorectal, and prostate cancer screening decisions in older adults under various scenarios. A sample of adults age 65+ (n = 1272) were recruited from a nationally representative panel in November 2016, of which 881 (69.3%) completed our survey. Participants were presented vignettes in which we experimentally varied a hypothetical patient's life expectancy, age, quality of life, and physician screening recommendation. The dependent variable was the choice to continue cancer screening in the vignette. Classification and regression tree (CART) analysis was used to identify characteristics most predictive of screening decisions; both the participants' characteristics and the hypothetical patient's characteristics in the vignettes were included in the analysis. CART analysis uses recursive partitioning to create a classification tree in which variables predictive of the outcome are included as hierarchical tree nodes. We used automated ten-fold cross-validation to select the tree with lowest misclassification and highest predictive accuracy. Participants' attitude towards cancer screening was most predictive of choosing screening. Among those who agreed with the statement “I plan to get screened for cancer for as long as I live” (n = 300, 31.9%), 73.2% chose screening and 57.2% would still choose screening if hypothetical patient had 1-year life expectancy. For this subset of older adults with enthusiasm towards screening even when presented with scenario involving limited life expectancy, efforts are needed to improve informed decision-making about screening. Elsevier 2019-01-16 /pmc/articles/PMC6350222/ /pubmed/30719405 http://dx.doi.org/10.1016/j.pmedr.2019.01.007 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Schoenborn, Nancy L.
Xue, Qian-Li
Pollack, Craig E.
Janssen, Ellen M.
Bridges, John F.P.
Wolff, Antonio C.
Boyd, Cynthia M.
Demographic, health, and attitudinal factors predictive of cancer screening decisions in older adults
title Demographic, health, and attitudinal factors predictive of cancer screening decisions in older adults
title_full Demographic, health, and attitudinal factors predictive of cancer screening decisions in older adults
title_fullStr Demographic, health, and attitudinal factors predictive of cancer screening decisions in older adults
title_full_unstemmed Demographic, health, and attitudinal factors predictive of cancer screening decisions in older adults
title_short Demographic, health, and attitudinal factors predictive of cancer screening decisions in older adults
title_sort demographic, health, and attitudinal factors predictive of cancer screening decisions in older adults
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350222/
https://www.ncbi.nlm.nih.gov/pubmed/30719405
http://dx.doi.org/10.1016/j.pmedr.2019.01.007
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