Klabunde C N, Kaluzny A D
Lineberger Comprehensive Cancer Center, Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill 27514, USA.
Breast Cancer Res Treat. 1995 Jul;35(1):43-50. doi: 10.1007/BF00694744.
In 1992 patient accrual to the National Cancer Institute-sponsored Breast Cancer Prevention Trial was initiated in the United States and Canada. The Trial will involve 16,000 women who are evaluated to be at high risk of developing breast cancer. Nearly 250 health care organizations are participating in the Trial, including over 40 Community Clinical Oncology Program (CCOP) organizations, which are a component of the NCI's national clinical trials program. A previous NCI-funded evaluation conducted by the University of North Carolina showed the CCOP program to be an effective means of transferring the latest cancer technology, particularly cancer treatments, to the community setting. This paper describes a study designed to evaluate the performance of CCOP organizations in the Breast Cancer Prevention Trial. Using data from the first fifteen months of the Trial, the ability of CCOPs to accrue women is assessed using panel data estimation techniques. An attempt is made to predict accrual by structural, process, and environmental characteristics of participating CCOPs. Factors predictive of accrual include month in which accrual occurred and the extent of competition for trial participants in the CCOP service area. The hypothesized model explains slightly over 19 percent of the variation in accrual performance. The analysis demonstrates the utility of a panel data approach to modeling the dynamics of CCOP participation in a chemoprevention clinical trial.
1992年，美国和加拿大开始了由美国国立癌症研究所资助的乳腺癌预防试验的患者招募工作。该试验将涉及16000名被评估为患乳腺癌高危的女性。近250个医疗保健组织参与了该试验，其中包括40多个社区临床肿瘤项目（CCOP）组织，这些组织是国立癌症研究所国家临床试验项目的一部分。北卡罗来纳大学此前进行的一项由国立癌症研究所资助的评估表明，CCOP项目是将最新癌症技术，尤其是癌症治疗方法，推广到社区环境的有效手段。本文描述了一项旨在评估CCOP组织在乳腺癌预防试验中表现的研究。利用该试验前十五个月的数据，使用面板数据估计技术评估CCOP招募女性的能力。试图通过参与试验的CCOP的结构、过程和环境特征来预测招募情况。预测招募的因素包括招募发生的月份以及CCOP服务区域内试验参与者的竞争程度。假设模型解释了招募表现中略多于19%的变异。分析表明，面板数据方法在模拟CCOP参与化学预防临床试验的动态过程中具有实用性。
