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Enhancing Cancer Screening in Primary Care: Rationale Design Analysis Plan and Recruitment Results

机译:提高初级保健中的癌症筛查:理由设计分析计划和招聘结果

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摘要

Colorectal cancer (CRC) is the third leading type of cancer and the third leading cause of cancer death in the United States. National policy-making organizations recognize and support a variety of CRC screening strategies among average-risk adults aged 50 and older based on strong evidence showing that screening decreases mortality from CRC and can also reduce the incidence of the disease. The goal of this study was to test a multi-level stepped intervention to increase CRC screening rates. We used a group-randomized trial design where the units of assignment were clinics and the units of observation were eligible patients receiving care at those clinics, with stratified random assignment of clinics to study conditions. The primary analysis was planned as a mixed-model logistic regression to account for the expected positive intraclass correlation associated with clinics. Our recruitment experience reflected the difficulties of conducting research in the real world where changes in economic conditions, staff turnover/layoff, inadequate medical records, and poor acceptance of research can significantly impact study plans. It demonstrated the problems that can emerge when procedures used in the study depart from those used in the pilot work to generate parameter estimates for power analysis. It also demonstrated the importance of allowing for attrition at the group and patient levels so that if recruitment falls short, it is possible to maintain adequate power with only a slight increase in the detectable difference. This experience should assist others planning group-randomized trials, whether in cancer screening or in other areas.
机译:结直肠癌(CRC)是美国的第三大癌症类型和第三大癌症死因。国家决策机构基于有力的证据表明,筛查可以降低CRC的死亡率,也可以减少疾病的发病率,有力的证据表明,在50岁及以上的高风险成年人中,人们认可并支持多种CRC筛查策略。这项研究的目的是测试一种多层次的分步干预措施,以提高CRC筛查率。我们采用分组随机试验设计,其中分配单位为诊所,观察单位为在那些诊所接受护理的合格患者,并根据研究条件对诊所进行分层随机分配。初步分析被计划为混合模型逻辑回归,以说明与诊所相关的预期正类内相关性。我们的招聘经验反映了在现实世界中进行研究的困难,因为在现实世界中,经济条件的变化,人员流动/解雇,病历不足以及对研究的接受程度不高,会对研究计划产生重大影响。它证明了当研究中使用的程序与试点工作中使用的程序偏离以生成用于功率分析的参数估计时可能出现的问题。它还表明了在小组和患者水平上进行减员的重要性,这样,如果募集不足,则可以维持足够的力量,而可检测的差异仅稍有增加。无论是在癌症筛查还是在其他领域,这种经验都应有助于其他人计划进行小组随机试验。

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