Literature DB >> 34582721

Effect of a Randomized Trial of a Web-Based Intervention on Patient-Provider Communication About Breast Density.

Erin J Aiello Bowles1, Suzanne C O'Neill2, Tengfei Li3, Sarah Knerr4, Jeanne S Mandelblatt2, Marc D Schwartz2, Jinani Jayasekera2, Kathleen Leppig5, Kelly Ehrlich1, David Farrell6, Hongyuan Gao1, Amanda L Graham2,7, George Luta3, Karen J Wernli1.   

Abstract

Background: Breast density increases breast cancer risk and decreases mammographic detection. We evaluated a personalized web-based intervention designed to improve breast cancer risk communication between women and their providers. Materials and
Methods: This was a secondary outcome analysis of an online randomized trial. Women aged 40-69 years were randomized, February 2017-May 2018, to a control (n = 503) versus intervention website (n = 492). The intervention website included information about breast density, personalized breast cancer risk, chemoprevention, and magnetic resonance imaging. Participants self-reported communication about density with providers (yes/no) at 6 weeks and 12 months. We used logistic regression with generalized estimating equations to evaluate the association of study arm with density communication. In secondary analyses, we tested if the intervention was associated with indicators of patient activation (breast cancer worry, perceived risk, or health care use).
Results: Women (mean age 62 years) in the intervention versus control arm were 2.39 times (95% confidence interval [CI] = 1.37-4.18) more likely to report density communication at 6 weeks; this effect persisted at 12 months (odds ratio [OR] = 1.71, 95% CI = 1.25-2.35). At 6 weeks, this effect was only significant among women who reported (OR = 3.23, 95% CI = 1.24-8.40) versus did not report any previous density discussions (OR = 1.64, 95% CI = 0.83-3.26). A quarter of women in each arm never had a density conversation at any time during the study. Conclusions: Despite providing personalized density and risk information, the intervention did not promote density discussions between women and their providers who had not had them previously. This intervention is unlikely to be used clinically to motivate density conversations in women who have not had them before. Clinical trial registration number NCT03029286.

Entities:  

Keywords:  breast cancer risk; breast density; communication; randomized trial; web-based

Mesh:

Year:  2021        PMID: 34582721      PMCID: PMC8823670          DOI: 10.1089/jwh.2021.0053

Source DB:  PubMed          Journal:  J Womens Health (Larchmt)        ISSN: 1540-9996            Impact factor:   2.681


  43 in total

1.  Combined effect of volumetric breast density and body mass index on breast cancer risk.

Authors:  Natalie J Engmann; Christopher G Scott; Matthew R Jensen; Stacey Winham; Diana L Miglioretti; Lin Ma; Kathleen Brandt; Amir Mahmoudzadeh; Dana H Whaley; Carrie Hruska; Fang Wu; Aaron D Norman; Robert A Hiatt; John Heine; John Shepherd; V Shane Pankratz; Celine M Vachon; Karla Kerlikowske
Journal:  Breast Cancer Res Treat       Date:  2019-05-25       Impact factor: 4.872

2.  A web-based personalized risk communication and decision-making tool for women with dense breasts: Design and methods of a randomized controlled trial within an integrated health care system.

Authors:  Sarah Knerr; Karen J Wernli; Kathleen Leppig; Kelly Ehrlich; Amanda L Graham; David Farrell; Chalanda Evans; George Luta; Marc D Schwartz; Suzanne C O'Neill
Journal:  Contemp Clin Trials       Date:  2017-02-28       Impact factor: 2.226

3.  Breast Cancer Risk Assessment at the Time of Screening Mammography: Perceptions and Clinical Management Outcomes for Women at High Risk.

Authors:  Nichole A Morman; Lindsey Byrne; Christy Collins; Kelly Reynolds; Jeffrey G Bell
Journal:  J Genet Couns       Date:  2017-01-26       Impact factor: 2.537

4.  Identifying women with dense breasts at high risk for interval cancer: a cohort study.

Authors:  Karla Kerlikowske; Weiwei Zhu; Anna N A Tosteson; Brian L Sprague; Jeffrey A Tice; Constance D Lehman; Diana L Miglioretti
Journal:  Ann Intern Med       Date:  2015-05-19       Impact factor: 25.391

Review 5.  Personalised risk communication for informed decision making about taking screening tests.

Authors:  Adrian G K Edwards; Gurudutt Naik; Harry Ahmed; Glyn J Elwyn; Timothy Pickles; Kerry Hood; Rebecca Playle
Journal:  Cochrane Database Syst Rev       Date:  2013-02-28

6.  What Do Women Know About Breast Density? Results From a Population Survey of Virginia Women.

Authors:  Thomas M Guterbock; Wendy F Cohn; Deborah L Rexrode; Casey M Eggleston; Melissa Dean-McKinney; Wendy M Novicoff; Martin J Yaffe; William A Knaus; Jennifer A Harvey
Journal:  J Am Coll Radiol       Date:  2016-09-24       Impact factor: 5.532

7.  Relationship of Terminal Duct Lobular Unit Involution of the Breast with Area and Volume Mammographic Densities.

Authors:  Gretchen L Gierach; Deesha A Patel; Ruth M Pfeiffer; Jonine D Figueroa; Laura Linville; Daphne Papathomas; Jason M Johnson; Rachael E Chicoine; Sally D Herschorn; John A Shepherd; Jeff Wang; Serghei Malkov; Pamela M Vacek; Donald L Weaver; Bo Fan; Amir Pasha Mahmoudzadeh; Maya Palakal; Jackie Xiang; Hannah Oh; Hisani N Horne; Brian L Sprague; Stephen M Hewitt; Louise A Brinton; Mark E Sherman
Journal:  Cancer Prev Res (Phila)       Date:  2015-12-08

8.  Knowledge and Perception of Breast Density, Screening Mammography, and Supplemental Screening: in Search of "Informed".

Authors:  Karen E Schifferdecker; Anna N A Tosteson; Celia Kaplan; Karla Kerlikowske; Diana S M Buist; Louise M Henderson; Dianne Johnson; Jill Jaworski; Gloria Jackson-Nefertiti; Kelly Ehrlich; Mary W Marsh; Lisa Vu; Tracy Onega; Karen J Wernli
Journal:  J Gen Intern Med       Date:  2019-12-02       Impact factor: 5.128

9.  Characteristics Associated with Participation in ENGAGED 2 - A Web-based Breast Cancer Risk Communication and Decision Support Trial.

Authors:  Karen J Wernli; Erin A Bowles; Sarah Knerr; Kathleen A Leppig; Kelly Ehrlich; Hongyuan Gao; Marc D Schwartz; Suzanne C O'Neill
Journal:  Perm J       Date:  2020-12

10.  The HMO Research Network Virtual Data Warehouse: A Public Data Model to Support Collaboration.

Authors:  Tyler R Ross; Daniel Ng; Jeffrey S Brown; Roy Pardee; Mark C Hornbrook; Gene Hart; John F Steiner
Journal:  EGEMS (Wash DC)       Date:  2014-03-24
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