Literature DB >> 8672997

Community Clinical Oncology Program participation in the Breast Cancer Prevention Trial: factors affecting accrual.

C Klabunde1, A Kaluzny, L Ford.   

Abstract

Cancer prevention and control involves a diverse spectrum of activities that range from preventing the disease to providing rehabilitation to its survivors. The range of activities included within the definition of cancer prevention and control makes it difficult to determine factors that would predict accrual to specific cancer prevention and control trials. The participation of 36 CCOP organization in the National Cancer Institute-sponsored Breast Cancer PRevention TRial (BCPT) presented the opportunity to assess the ability of Community Clinical Oncology Program (CCOPs) to enroll subjects in one of the nation's first large-scale cancer prevention trials and to compare characteristics of CCOP accrual to the BCPT with factors associated with accrual by CCOPs to cancer treatment and other cancer prevention and control clinical trials. Although representing only 13% of participating health care organizations, CCOPs presently contribute nearly 30% of total BCPT accrual. Comparison of regression models representing accrual to treatment, cancer control, and chemoprevention (i.e., BCPT) protocols shows similar predictors between treatment and chemoprevention models. Cancer control models, however, did not share similar predictors. Thus, accrual to chemoprevention trials is associated, to a greater extent, with the characteristics that facilitate accrual to treatment trials rather than to cancer control trials. Results have implications for the planning and ongoing management of cancer treatment, control, and chemoprevention clinical trials.

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Year:  1995        PMID: 8672997

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  6 in total

Review 1.  Translating research into evidence-based practice: the National Cancer Institute Community Clinical Oncology Program.

Authors:  Lori M Minasian; William R Carpenter; Bryan J Weiner; Darrell E Anderson; Worta McCaskill-Stevens; Stefanie Nelson; Cynthia Whitman; Joseph Kelaghan; Ann M O'Mara; Arnold D Kaluzny
Journal:  Cancer       Date:  2010-10-01       Impact factor: 6.860

2.  Organizational designs for achieving high treatment trial enrollment: a fuzzy-set analysis of the community clinical oncology program.

Authors:  Bryan J Weiner; Sara R Jacobs; Lori M Minasian; Marjorie J Good
Journal:  J Oncol Pract       Date:  2012-05-01       Impact factor: 3.840

3.  Decision support for clinical trial eligibility determination in breast cancer.

Authors:  L Ohno-Machado; S J Wang; P Mar; A A Boxwala
Journal:  Proc AMIA Symp       Date:  1999

Review 4.  Cancer patient decision making related to clinical trial participation: an integrative review with implications for patients' relational autonomy.

Authors:  Jennifer A H Bell; Lynda G Balneaves
Journal:  Support Care Cancer       Date:  2015-01-17       Impact factor: 3.603

5.  Why providers participate in clinical trials: considering the National Cancer Institute's Community Clinical Oncology Program.

Authors:  Ann Scheck McAlearney; Paula H Song; Kristin L Reiter
Journal:  Contemp Clin Trials       Date:  2012-08-19       Impact factor: 2.226

6.  Approach to High Volume Enrollment in Clinical Research: Experiences from an All of Us Research Program Site.

Authors:  Titilayo O Ilori; Emma Viera; Jillian Wilson; Francisco Moreno; Usha Menon; John Ehiri; Rachele Peterson; Tejo Vemulapalli; Sara C StimsonRiahi; Cecilia Rosales; Elizabeth Calhoun; Amanda Sokan; Jason H Karnes; Eric Reiman; Akinlolu Ojo; Andreas Theodorou; Tammy Ojo
Journal:  Clin Transl Sci       Date:  2020-03-17       Impact factor: 4.689

  6 in total

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