Literature DB >> 14581440

Adjuvant chemotherapy for breast cancer: how presentation of recurrence risk influences decision-making.

Celia Chao1, Jamie L Studts, Troy Abell, Terence Hadley, Lynne Roetzer, Sean Dineen, Doug Lorenz, Ahmed YoussefAgha, Kelly M McMasters.   

Abstract

PURPOSE: The purpose of this study was to examine the impact of four methods of communicating survival benefits on chemotherapy decisions. We hypothesized that the four methods of communicating mathematically equivalent risk information would lead to different chemotherapy decisions.
METHODS: Each participant received two hypothetical scenarios regarding their mother (a postmenopausal woman with an invasive, lymph node-negative, hormone receptor-positive breast cancer) and was asked to decide whether they would encourage their mother to take chemotherapy in addition to surgery and tamoxifen. In the part 1, participants received one of four methods of describing the chemotherapy survival benefit: (1) relative risk reduction, (2) absolute risk reduction, (3) absolute survival benefit, or (4) number needed to treat. In part 2, each participant received all four methods. Following each decision, participants were asked to rate their confidence and confusion regarding their decision.
RESULTS: Participants included 203 preclinical medical students. In part 1, participants who received relative risk reduction information were significantly more likely to endorse chemotherapy. In part 2, there were no treatment decision differences when participants received all four methods of communicating survival benefits of chemotherapy. However, receiving all four methods led to significantly higher ratings of confusion. In deciding on endorsing chemotherapy, participants understood the information best when presented with data in the absolute survival benefit format.
CONCLUSION: These results support the hypothesis that the method used to present information about chemotherapy influences treatment decisions. Absolute survival benefit is the most easily understood method of conveying the information regarding benefit of treatment.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 14581440     DOI: 10.1200/JCO.2003.06.025

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  18 in total

1.  Helping patients decide: ten steps to better risk communication.

Authors:  Angela Fagerlin; Brian J Zikmund-Fisher; Peter A Ubel
Journal:  J Natl Cancer Inst       Date:  2011-09-19       Impact factor: 13.506

2.  Willingness of women with early estrogen receptor-positive breast cancer to take adjuvant CDK4/6 inhibitors.

Authors:  N J Lipton; J Jesin; E Warner; X Cao; A Kiss; D Desautels; K J Jerzak
Journal:  Curr Oncol       Date:  2020-06-01       Impact factor: 3.677

3.  Understanding Genetic Breast Cancer Risk: Processing Loci of the BRCA Gist Intelligent Tutoring System.

Authors:  Christopher R Wolfe; Valerie F Reyna; Colin L Widmer; Elizabeth M Cedillos-Whynott; Priscila G Brust-Renck; Audrey M Weil; Xiangen Hu
Journal:  Learn Individ Differ       Date:  2016-07-01

4.  Therapy-Induced Senescence Drives Bone Loss.

Authors:  Zhangting Yao; Bhavna Murali; Qihao Ren; Xianmin Luo; Douglas V Faget; Tom Cole; Biancamaria Ricci; Dinesh Thotala; Joseph Monahan; Jan M van Deursen; Darren Baker; Roberta Faccio; Julie K Schwarz; Sheila A Stewart
Journal:  Cancer Res       Date:  2020-01-13       Impact factor: 12.701

5.  Improving communication of breast cancer recurrence risk.

Authors:  Noel T Brewer; Alice R Richman; Jessica T DeFrank; Valerie F Reyna; Lisa A Carey
Journal:  Breast Cancer Res Treat       Date:  2011-10-01       Impact factor: 4.872

6.  Doctors and patients' susceptibility to framing bias: a randomized trial.

Authors:  Thomas V Perneger; Thomas Agoritsas
Journal:  J Gen Intern Med       Date:  2011-07-27       Impact factor: 5.128

7.  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

Review 8.  Clinical implications of numeracy: theory and practice.

Authors:  Wendy Nelson; Valerie F Reyna; Angela Fagerlin; Isaac Lipkus; Ellen Peters
Journal:  Ann Behav Med       Date:  2008-08-02

9.  Risk communication in clinical trials: a cognitive experiment and a survey.

Authors:  Yin Bun Cheung; Hwee Lin Wee; Julian Thumboo; Cynthia Goh; Ricardo Pietrobon; Han Chong Toh; Yu Fen Yong; Say Beng Tan
Journal:  BMC Med Inform Decis Mak       Date:  2010-09-27       Impact factor: 2.796

10.  The development and analysis of tutorial dialogues in AutoTutor Lite.

Authors:  Christopher R Wolfe; Colin L Widmer; Valerie F Reyna; Xiangen Hu; Elizabeth M Cedillos; Christopher R Fisher; Priscilla G Brust-Renck; Triana C Williams; Isabella Damas Vannucchi; Audrey M Weil
Journal:  Behav Res Methods       Date:  2013-09
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.