Literature DB >> 29618460

A System-Level Approach to Improve the Uptake of Antiestrogen Preventive Therapy among Women with Atypical Hyperplasia and Lobular Cancer In Situ.

Abenaa M Brewster1, Priya Thomas2, Powel Brown2, Robin Coyne2, Yuanqing Yan3, Cristina Checka4, Lavinia Middleton5, Kim-Anh Do6, Therese Bevers2.   

Abstract

Background: The low uptake of antiestrogen preventive therapy among women at high risk of developing breast cancer remains a challenge. We implemented a performance improvement program to increase the uptake of preventive therapy among women with atypical hyperplasia (AH) and lobular cancer in situ (LCIS).
Methods: A performance improvement program was implemented at the MD Anderson Cancer Center (Houston, TX), November 2015 to February 2017, for patients with a new (<6 months) or existing (≥6 months) diagnosis of AH/LCIS. The program consisted of an audit of eligible women who were recommended and prescribed preventive therapy and the provision of clinical performance feedback to providers. The baseline uptake of preventive therapy was estimated from patients enrolled in a high-risk breast cohort.
Results: Baseline uptake of preventive therapy was 44%. The program registered 408 patients with a new (n = 87) or existing diagnosis (n = 321) of AH/LCIS; mean age was 57 and 71% were non-Hispanic white. Ninety-eight percent of patients received a recommendation for preventive therapy. The overall prescribing of preventive therapy to patients with a new or existing diagnosis was 82% (monthly range, 40%-100%; Ptrend = 0.76) and 48% (monthly range, 27%-57%; Ptrend < 0.01), respectively. Adherence among patients with a new or existing diagnosis was 76% and 48% (P < 0.01) at 6 months, respectively.
Conclusion: A system-level approach improved the uptake of preventive therapy. Identifying women at the time of diagnosis of AH/LCIS and offering a strong recommendation are key components for improving acceptance and adherence with preventive therapy. Cancer Prev Res; 11(5); 295-302. ©2018 AACR. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 29618460     DOI: 10.1158/1940-6207.CAPR-17-0314

Source DB:  PubMed          Journal:  Cancer Prev Res (Phila)        ISSN: 1940-6215


  1 in total

1.  Using Protection Motivation Theory to Predict Intentions for Breast Cancer Risk Management: Intervention Mechanisms from a Randomized Controlled Trial.

Authors:  Claire C Conley; Karen J Wernli; Sarah Knerr; Tengfei Li; Kathleen Leppig; Kelly Ehrlich; David Farrell; Hongyuan Gao; Erin J A Bowles; Amanda L Graham; George Luta; Jinani Jayasekera; Jeanne S Mandelblatt; Marc D Schwartz; Suzanne C O'Neill
Journal:  J Cancer Educ       Date:  2021-11-23       Impact factor: 1.771

  1 in total

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