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Strategies to Identify and Recruit Women at High Risk for Breast Cancer to a Randomized Controlled Trial of Web-based Decision Support Tools.
McGuinness, Julia E; Bhatkhande, Gauri; Amenta, Jacquelyn; Silverman, Thomas; Mata, Jennie; Guzman, Ashlee; He, Ting; Dimond, Jill; Jones, Tarsha; Kukafka, Rita; Crew, Katherine D.
Affiliation
  • McGuinness JE; Division of Hematology and Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York.
  • Bhatkhande G; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York.
  • Amenta J; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
  • Silverman T; Division of Hematology and Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York.
  • Mata J; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York.
  • Guzman A; Department of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York.
  • He T; Division of Hematology and Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York.
  • Dimond J; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York.
  • Jones T; Division of Hematology and Oncology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York.
  • Kukafka R; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York.
  • Crew KD; Department of Biomedical Informatics and Data Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Cancer Prev Res (Phila) ; 15(6): 399-406, 2022 06 02.
Article in En | MEDLINE | ID: mdl-35412592
We evaluated strategies to identify and recruit a racially/ethnically diverse cohort of women at high-risk for breast cancer to a randomized controlled trial (RCT). We enrolled 300 high-risk women and 50 healthcare providers to a RCT of standard educational materials alone or in combination with web-based decision support tools. We implemented five strategies to identify high-risk women: (i) recruitment among patients previously enrolled in a study evaluating breast cancer risk; (ii) automated breast cancer risk calculation using information extracted from the electronic health record (EHR); (iii) identification of women with atypical hyperplasia or lobular carcinoma in situ (LCIS) using International Classification of Diseases (ICD)-9/10 diagnostic codes; (iv) clinical encounters with enrolled healthcare providers; (v) recruitment flyers/online resources. Breast cancer risk was calculated using either the Gail or Breast Cancer Surveillance Consortium (BCSC) models. We identified 6,229 high-risk women and contacted 3,459 (56%), of whom 17.2% were identified from prior study cohort, 37.5% through EHR risk information, 14.8% with atypical hyperplasia/LCIS, 29.0% by clinical encounters, and 1.5% through recruitment flyers. Women from the different recruitment sources varied by age and 5-year invasive breast cancer risk. Of 300 enrolled high-risk women, 44.7% came from clinical encounters and 27.3% from prior study cohort. Comparing enrolled with not-enrolled participants, there were significant differences in mean age (57.2 vs. 59.1 years), proportion of non-Whites (41.5% vs. 54.8%), and mean 5-year breast cancer risk (3.0% vs. 2.3%). We identified and successfully recruited diverse high-risk women from multiple sources. These strategies may be implemented in future breast cancer chemoprevention trials. PREVENTION RELEVANCE: We describe five strategies to identify and successfully recruit a large cohort of racially/ethnically diverse high-risk women from multiple sources to a randomized controlled trial evaluating interventions to increase chemoprevention uptake. Findings could inform recruitment efforts for future breast cancer prevention trials to increase recruitment yield of high-risk women.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Breast Carcinoma In Situ Type of study: Clinical_trials / Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Child, preschool / Female / Humans Language: En Journal: Cancer Prev Res (Phila) Journal subject: NEOPLASIAS Year: 2022 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Breast Carcinoma In Situ Type of study: Clinical_trials / Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Child, preschool / Female / Humans Language: En Journal: Cancer Prev Res (Phila) Journal subject: NEOPLASIAS Year: 2022 Document type: Article Country of publication: United States