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Demographic and Operational Factors Predicting Study Completion in a Multisite Case-Control Study of Preschool Children

机译:预测学龄前儿童多立体案例控制研究的研究人口和运营因素

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Participant attrition can limit inferences drawn from study results and inflate research costs. We examined factors associated with completion of the Study to Explore Early Development (2007–2011), a multiple-component, case-control study of risk factors for autism spectrum disorder in preschoolers, conducted in California, Colorado, Georgia, Maryland, North Carolina, and Pennsylvania. Participants (n = 3,769) were asked to complete phone interviews, questionnaires, an in-person evaluation, and biologic sampling. We examined whether participant demographic and administrative factors predicted completion using mixed-effects logistic regression models. Completion of individual key study components was generally 70% or higher. However, 58% of families completed all per-protocol data elements (defined a priori as key study components). Per-protocol completion differed according to mother’s age, race, educational level, driving distance to clinic, number of contact attempts to enroll, and number of telephone numbers provided (all P < 0.05). Case status was not associated with completion, despite additional data collection for case-confirmation. Analysis of a subset that completed an early interview revealed no differences in completion by household factors of income, primary language spoken, number of adults, or number of children with chronic conditions. Differences in completion by race and education were notable and need to be carefully considered in developing future recruitment and completion strategies.
机译:参与者的蒸发器可以限制从研究结果和膨胀研究成本的推论。我们检查了与研究完成相关的因素,以探索早期发展(2007 - 2011年),在加利福尼亚州,科罗拉多州,佐治亚州,马里兰州,北卡罗来纳州的北卡罗来纳州进行的学龄前儿童境内谱系危险因素的多组分,病例控制研究和宾夕法尼亚州。要求参与者(n = 3,769)询问完整电话采访,问卷调查,一个人的评估和生物学抽样。我们检查了参与者人口统计和行政因素是否预计使用混合效应逻辑回归模型完成完成。完成个别关键研究成分通常为70%或更高。但是,58%的家庭完成了所有协议数据元素(定义了先验作为关键研究组件)。按协议完成根据母亲的年龄,种族,教育水平,驾驶距离到诊所的驾驶距离,联系人次数,并提供电话号码(所有P <0.05)。案例状态与完成无关,尽管额外的数据收集以便确认。完成早期采访的子集的分析显示,在收入,初级语言,成人数量,成人数量或具有慢性条件的儿童数量的家庭因素没有差异。种族和教育完成的差异是值得注意的,需要在制定未来的招聘和完工策略方面仔细考虑。

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