Literature DB >> 20160070

Breast cancer patients' treatment expectations after exposure to the decision aid program adjuvant online: the influence of numeracy.

Isaac M Lipkus1, Ellen Peters, Gretchen Kimmick, Vlayka Liotcheva, Paul Marcom.   

Abstract

The decision aid called ''Adjuvant Online'' (Adjuvant! for short) helps breast cancer patients make treatment decisions by providing numerical estimates of treatment efficacy (e.g., 10-y relapse or survival). Studies exploring how patients' numeracy interacts with the estimates provided by Adjuvant! are lacking. Pooling across 2 studies totaling 105 women with estrogen receptor-positive, early-stage breast cancer, the authors explored patients' treatment expectations, perceived benefit from treatments, and confidence of personal benefit from treatments. Patients who were more numerate were more likely to provide estimates of cancer-free survival that matched the estimates provided by Adjuvant! for each treatment option compared with patients with lower numeracy (odds ratios of 1.6 to 2.4). As estimates of treatment efficacy provided by Adjuvant! increased, so did patients' estimates of cancer-free survival (0.37 > r(s) > 0.48) and their perceptions of treatment benefit from hormonal therapy (r(s) = 0.28) and combined therapy (r(s) = 0.27). These relationships were significantly more pronounced for those with higher numeracy, especially for perceived benefit of combined therapy. Results suggest that numeracy influences a patient's ability to interpret numerical estimates of treatment efficacy from decision aids such as Adjuvant!.

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Year:  2010        PMID: 20160070      PMCID: PMC3616375          DOI: 10.1177/0272989X09360371

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  24 in total

1.  A bedside decision instrument to elicit a patient's preference concerning adjuvant chemotherapy for breast cancer.

Authors:  M N Levine; A Gafni; B Markham; D MacFarlane
Journal:  Ann Intern Med       Date:  1992-07-01       Impact factor: 25.391

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Authors:  I M Lipkus; G Samsa; B K Rimer
Journal:  Med Decis Making       Date:  2001 Jan-Feb       Impact factor: 2.583

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Journal:  Eff Clin Pract       Date:  1999 Jul-Aug

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Authors:  L A Siminoff; J H Fetting; M D Abeloff
Journal:  J Clin Oncol       Date:  1989-09       Impact factor: 44.544

5.  Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer.

Authors:  P M Ravdin; L A Siminoff; G J Davis; M B Mercer; J Hewlett; N Gerson; H L Parker
Journal:  J Clin Oncol       Date:  2001-02-15       Impact factor: 44.544

6.  Cancer patients' insight into their treatment, prognosis, and unconventional therapies.

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Journal:  Cancer       Date:  1984-06-15       Impact factor: 6.860

7.  Helping patients make informed choices: a randomized trial of a decision aid for adjuvant chemotherapy in lymph node-negative breast cancer.

Authors:  Timothy Whelan; Carol Sawka; Mark Levine; Amiram Gafni; Leonard Reyno; Andrew Willan; Jim Julian; Susan Dent; Hakam Abu-Zahra; Edmond Chouinard; Richard Tozer; Kathleen Pritchard; Ilona Bodendorfer
Journal:  J Natl Cancer Inst       Date:  2003-04-16       Impact factor: 13.506

8.  Offering a choice between two adjuvant chemotherapy regimens: a pilot study to develop a decision aid for women with breast cancer.

Authors:  E Irwin; A Arnold; T J Whelan; L M Reyno; P Cranton
Journal:  Patient Educ Couns       Date:  1999-07

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Authors:  W J Mackillop; W E Stewart; A D Ginsburg; S S Stewart
Journal:  Br J Cancer       Date:  1988-09       Impact factor: 7.640

10.  The use of narrative evidence and explicit likelihood by decisionmakers varying in numeracy.

Authors:  Nathan F Dieckmann; Paul Slovic; Ellen M Peters
Journal:  Risk Anal       Date:  2009-08-10       Impact factor: 4.000

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  22 in total

Review 1.  Decision making and cancer.

Authors:  Valerie F Reyna; Wendy L Nelson; Paul K Han; Michael P Pignone
Journal:  Am Psychol       Date:  2015 Feb-Mar

2.  Multilevel Influences on Patient-Oncologist Communication about Genomic Test Results: Oncologist Perspectives.

Authors:  Suzanne C O'Neill; Kathryn L Taylor; Jonathan Clapp; Jinani Jayasekera; Claudine Isaacs; Deena Mary Atieh Graham; Stuart L Goldberg; Jeanne Mandelblatt
Journal:  J Health Commun       Date:  2018-08-21

3.  Does use of the adjuvant! model influence use of adjuvant therapy through better risk communication?

Authors:  Jeffrey K Belkora; David W Hutton; Dan H Moore; Laura A Siminoff
Journal:  J Natl Compr Canc Netw       Date:  2011-07-01       Impact factor: 11.908

4.  Effects of a risk-based online mammography intervention on accuracy of perceived risk and mammography intentions.

Authors:  Holli H Seitz; Laura Gibson; Christine Skubisz; Heather Forquer; Susan Mello; Marilyn M Schapira; Katrina Armstrong; Joseph N Cappella
Journal:  Patient Educ Couns       Date:  2016-05-04

5.  How can we best respect patient autonomy in breast cancer treatment decisions?

Authors:  Sarah T Hawley; Reshma Jagsi; Kathryn A Martinez; Allison W Kurian
Journal:  Breast Cancer Manag       Date:  2015

6.  The benefits of discussing adjuvant therapies one at a time instead of all at once.

Authors:  Brian J Zikmund-Fisher; Andrea M Angott; Peter A Ubel
Journal:  Breast Cancer Res Treat       Date:  2010-10-14       Impact factor: 4.872

7.  Numbers matter to informed patient choices: a randomized design across age and numeracy levels.

Authors:  Ellen Peters; P Sol Hart; Martin Tusler; Liana Fraenkel
Journal:  Med Decis Making       Date:  2013-11-18       Impact factor: 2.583

8.  The Modest Effects of Fact Boxes on Cancer Screening.

Authors:  Michael R Eber; Cass R Sunstein; James K Hammitt; Jennifer M Yeh
Journal:  J Risk Uncertain       Date:  2021-02-17

9.  Health numeracy in Japan: measures of basic numeracy account for framing bias in a highly numerate population.

Authors:  Masako Okamoto; Yasushi Kyutoku; Manabu Sawada; Lester Clowney; Eiju Watanabe; Ippeita Dan; Keiko Kawamoto
Journal:  BMC Med Inform Decis Mak       Date:  2012-09-11       Impact factor: 2.796

10.  Disparities in risk perception of thyroid cancer recurrence and death.

Authors:  Debbie W Chen; David Reyes-Gastelum; Lauren P Wallner; Maria Papaleontiou; Ann S Hamilton; Kevin C Ward; Sarah T Hawley; Brian J Zikmund-Fisher; Megan R Haymart
Journal:  Cancer       Date:  2019-12-23       Impact factor: 6.921

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