TY - JOUR
T1 - How Do Older Adults Consider Age, Life Expectancy, Quality of Life, and Physician Recommendations When Making Cancer Screening Decisions? Results from a National Survey Using a Discrete Choice Experiment
AU - Janssen, Ellen
AU - Pollack, Craig E.
AU - Boyd, Cynthia
AU - Bridges, John
AU - Xue, Qian Li
AU - Wolff, Antonio C.
AU - Schoenborn, Nancy L.
N1 - Funding Information:
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Research reported in this publication was supported by the National Institute on Aging of the National Institutes of Health under award R03AG050912. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. In addition, Dr. Schoenborn was supported by a T. Franklin Williams Scholarship Award with funding provided by Atlantic Philanthropies, Inc; the John A. Hartford Foundation; the Alliance for Academic Internal Medicine–Association of Specialty Professors and the American Geriatrics Society; the Johns Hopkins KL2 Clinical Scholars program funded by KL2TR001077 from the National Center for Advancing Translational Sciences (NCATS), a component of the National Institutes of Health (NIH), and NIH Roadmap for Medical Research; a Cancer Control Career Development Award from the American Cancer Society (CCCDA-16-002-01); and K76AG059984 from the National Institute on Aging. Dr. Boyd was supported by 1K24AG056578 from the National Institute on Aging. Dr. Xue was supported by P30AG021334 from the National Institute on Aging. Dr. Janssen was previously affiliated with Johns Hopkins School of Public Health and has changed employment after completion of this project. The funding sources had no role in the design, methods, subject recruitment, data collections, analysis, or preparation of the article.
Publisher Copyright:
© The Author(s) 2019.
PY - 2019/8/1
Y1 - 2019/8/1
N2 - Background. Older adults with limited life expectancy frequently receive cancer screening, although on average, harms outweigh benefits. We examined the influence of life expectancy on older adults’ cancer screening decisions relative to three other factors. Methods. Adults aged 65+ years (N = 1272) were recruited from a national online survey panel. Using a discrete choice experiment, we systematically varied a hypothetical patient’s life expectancy, age, quality of life, and physician’s recommendation and asked whether the participant would choose screening. Participants were randomized to questions about colonoscopy or prostate-specific antigen/mammography screenings. Logistic regression produced preference weights that quantified the relative influence of the 4 factors on screening decisions. Results. 879 older adults completed the survey, 660 of whom varied their screening choices in response to the 4 factors we tested. The age of the hypothetical patient had the largest influence on choosing screening: the effect of age being 65 versus 85 years had a preference weight of 2.44 (95% confidence interval [CI]: 2.22, 2.65). Life expectancy (10 versus 1 year) had the second largest influence (preference weight: 1.64, CI: 1.41, 1.87). Physician recommendation (screen versus do not screen) and quality of life (good versus poor) were less influential, with preference weights of 0.90 (CI: 0.72, 1.08) and 0.68 (CI: 0.52, 0.83), respectively. Conclusions. While clinical practice guidelines increasingly use life expectancy in addition to age to guide screening decisions, we find that age is the most influential factor, independent of life expectancy, quality of life, and physician recommendation, in older adults’ cancer screening choices. Strategies to reduce overscreening should consider the importance patients give to continuing screening at younger ages, even when life expectancy is limited.
AB - Background. Older adults with limited life expectancy frequently receive cancer screening, although on average, harms outweigh benefits. We examined the influence of life expectancy on older adults’ cancer screening decisions relative to three other factors. Methods. Adults aged 65+ years (N = 1272) were recruited from a national online survey panel. Using a discrete choice experiment, we systematically varied a hypothetical patient’s life expectancy, age, quality of life, and physician’s recommendation and asked whether the participant would choose screening. Participants were randomized to questions about colonoscopy or prostate-specific antigen/mammography screenings. Logistic regression produced preference weights that quantified the relative influence of the 4 factors on screening decisions. Results. 879 older adults completed the survey, 660 of whom varied their screening choices in response to the 4 factors we tested. The age of the hypothetical patient had the largest influence on choosing screening: the effect of age being 65 versus 85 years had a preference weight of 2.44 (95% confidence interval [CI]: 2.22, 2.65). Life expectancy (10 versus 1 year) had the second largest influence (preference weight: 1.64, CI: 1.41, 1.87). Physician recommendation (screen versus do not screen) and quality of life (good versus poor) were less influential, with preference weights of 0.90 (CI: 0.72, 1.08) and 0.68 (CI: 0.52, 0.83), respectively. Conclusions. While clinical practice guidelines increasingly use life expectancy in addition to age to guide screening decisions, we find that age is the most influential factor, independent of life expectancy, quality of life, and physician recommendation, in older adults’ cancer screening choices. Strategies to reduce overscreening should consider the importance patients give to continuing screening at younger ages, even when life expectancy is limited.
KW - cancer screening
KW - decision making
KW - discrete choice experiment
KW - older adults
KW - patient preferences
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U2 - 10.1177/0272989X19853516
DO - 10.1177/0272989X19853516
M3 - Article
C2 - 31226903
AN - SCOPUS:85068224173
SN - 0272-989X
VL - 39
SP - 621
EP - 631
JO - Medical Decision Making
JF - Medical Decision Making
IS - 6
ER -