Literature DB >> 27165488

Association of Breast Cancer Knowledge With Receipt of Guideline-Recommended Breast Cancer Treatment.

Rachel A Freedman1, Elena M Kouri2, Dee W West2, Joyce Lii2, Nancy L Keating2.   

Abstract

PURPOSE: Knowledge about one's breast cancer characteristics is poor, but whether this knowledge affects treatment is uncertain. Among women with breast cancer, we examined whether tumor knowledge was associated with adjuvant treatment receipt.
METHODS: We surveyed a population-based sample of women in Northern California with stage 0 to III breast cancer diagnosed during 2010 to 2011 (participation rate, 68.5%). Interviews were conducted between 4 months and 3 years after diagnosis. Among 414 respondents with stage I to III disease, we examined receipt of guideline-recommended chemotherapy, radiation, and hormonal therapy by reporting correct information about one's tumor, including stage, estrogen receptor, human epidermal growth factor receptor 2 (HER2), and grade (using registry data for confirmation). We performed multivariate logistic regression to assess the probability of receiving each treatment in relevant patient groups, adjusting for patient and tumor characteristics, and examined the impact of reporting correct tumor information on treatment receipt.
RESULTS: Among relevant treatment-eligible groups, 81% received chemotherapy, 91% received radiation, and 83% received hormonal therapy. In adjusted analyses, having correct (v incorrect) information for stage and HER2 were associated with chemotherapy receipt (odds ratio [OR], 4.45; 95% CI, 1.50 to 12.50 for stage; OR, 2.70; 95% CI, 1.02 to 7.18 for HER2). Correctly reporting estrogen receptor status was associated with hormonal therapy receipt (OR, 3.91; 95% CI, 1.73 to 8.86), and correctly reporting stage was associated with radiation receipt (OR, 2.76; 95% CI, 1.03 to 7.40).
CONCLUSION: Knowledge about one's tumor characteristics was strongly associated with receipt of recommended therapies. Interventions to improve patients' knowledge and understanding of their cancers should be tested as a strategy for improving receipt of care.
Copyright © 2016 by American Society of Clinical Oncology.

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Mesh:

Year:  2016        PMID: 27165488      PMCID: PMC4957257          DOI: 10.1200/JOP.2015.008508

Source DB:  PubMed          Journal:  J Oncol Pract        ISSN: 1554-7477            Impact factor:   3.714


  42 in total

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Authors:  X Du; J S Goodwin
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2.  Breast cancer survivors accurately reported key treatment and prognostic characteristics.

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3.  Elderly breast cancer survivors accurately self-report key treatment information.

Authors:  Tina W F Yen; Rodney A Sparapani; Changbin Guo; Joan M Neuner; Purushottam W Laud; Ann B Nattinger
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Review 4.  Health literacy and cancer communication.

Authors:  Terry C Davis; Mark V Williams; Estela Marin; Ruth M Parker; Jonathan Glass
Journal:  CA Cancer J Clin       Date:  2002 May-Jun       Impact factor: 508.702

5.  Effect of depression on diagnosis, treatment, and survival of older women with breast cancer.

Authors:  James S Goodwin; Dong D Zhang; Glenn V Ostir
Journal:  J Am Geriatr Soc       Date:  2004-01       Impact factor: 5.562

6.  Racial/ethnic disparities in knowledge about risks and benefits of breast cancer treatment: does it matter where you go?

Authors:  Sarah T Hawley; Angela Fagerlin; Nancy K Janz; Steven J Katz
Journal:  Health Serv Res       Date:  2008-04-01       Impact factor: 3.402

7.  Disparities in medical care among commercially insured patients with newly diagnosed breast cancer: opportunities for intervention.

Authors:  Louise J Short; Maxine D Fisher; Peter M Wahl; Monique B Kelly; Grant D Lawless; Sandra White; Nancy A Rodriguez; Vincent J Willey; Otis W Brawley
Journal:  Cancer       Date:  2010-01-01       Impact factor: 6.860

8.  Missed opportunities: racial disparities in adjuvant breast cancer treatment.

Authors:  Nina A Bickell; Jason J Wang; Soji Oluwole; Deborah Schrag; Henry Godfrey; Karen Hiotis; Jane Mendez; Amber A Guth
Journal:  J Clin Oncol       Date:  2006-03-20       Impact factor: 44.544

9.  Validation of screening questions for limited health literacy in a large VA outpatient population.

Authors:  Lisa D Chew; Joan M Griffin; Melissa R Partin; Siamak Noorbaloochi; Joseph P Grill; Annamay Snyder; Katharine A Bradley; Sean M Nugent; Alisha D Baines; Michelle Vanryn
Journal:  J Gen Intern Med       Date:  2008-03-12       Impact factor: 5.128

10.  Racial/ethnic disparities in knowledge about one's breast cancer characteristics.

Authors:  Rachel A Freedman; Elena M Kouri; Dee W West; Nancy L Keating
Journal:  Cancer       Date:  2015-01-26       Impact factor: 6.921

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  6 in total

1.  Examining Associations of Racial Residential Segregation With Patient Knowledge of Breast Cancer and Treatment Receipt.

Authors:  Sidra N Bonner; Cheryl Clark; Nancy L Keating; Elena M Kouri; Rachel A Freedman
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2.  Personal factors influencing breast cancer patients' perception of breast conservation surgery in West China.

Authors:  Li Zhang; Jidong Gao; Dongcai Lin; Li Xie; Tianyu Wang; Liqun Zou
Journal:  Ann Transl Med       Date:  2019-07

3.  Understanding Breast Cancer Knowledge and Barriers to Treatment Adherence: A Qualitative Study Among Breast Cancer Survivors.

Authors:  Rachel A Freedman; Anna C Revette; Dawn L Hershman; Kathryn Silva; Nora J Sporn; Joshua J Gagne; Elena M Kouri; Nancy L Keating
Journal:  Biores Open Access       Date:  2017-12-01

4.  Illness perception and coping among women living with breast cancer in Ghana: an exploratory qualitative study.

Authors:  Nuworza Kugbey; Kwaku Oppong Asante; Anna Meyer-Weitz
Journal:  BMJ Open       Date:  2020-07-14       Impact factor: 2.692

5.  Breast cancer knowledge and understanding treatment rationales among diverse breast cancer survivors.

Authors:  Rachel A Freedman; Naomi Y Ko; Ruth I Lederman; Haley Gagnon; Tsion Fikre; Daniel A Gundersen; Anna C Revette; Ashley Odai-Afotey; Olga Kantor; Dawn L Hershman; Katherine D Crew; Nancy L Keating
Journal:  Breast Cancer Res Treat       Date:  2022-10-11       Impact factor: 4.624

6.  Survival after palliative radiation therapy for cancer: The METSSS model.

Authors:  Nicholas G Zaorsky; Menglu Liang; Rutu Patel; Christine Lin; Leila T Tchelebi; Kristina B Newport; Edward J Fox; Ming Wang
Journal:  Radiother Oncol       Date:  2021-02-19       Impact factor: 6.901

  6 in total

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