Predicting attrition in a pediatric asthma intervention study
Predicting attrition in a pediatric asthma intervention study
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DOI：
10.1093/jpepsy/jsg042
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发表时间：
2003-12-01
影响因子：
3.6
通讯作者：
Walders, N
中科院分区：
文献类型：
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作者：
Zebracki, K;Drotar, D;Walders, N
目标 实施对磨损的全面描述，包括预纳入、退出和间歇性缺失数据导致的磨损，并使用小儿哮喘随机对照干预的数据集测试磨损的预测模型。方法 参与者包括 4-12 岁、被诊断患有哮喘的儿童及其照顾者。对 327 个家庭的人口统计变量和哮喘发病率结果测量进行了检查，以确定它们与自然流失的关系。结果 未完成随机分组和干预的家庭往往比完成随机分组的家庭拥有更年轻的照顾者。护理人员年龄成为入组前和退出前最一致的预测因素。由于间歇性缺失数据，没有显着的磨损预测因素。结论 在儿科哮喘干预研究中，年轻的护理人员可能面临特别的自然减员风险，值得研究人员特别关注。
Objectives To operationalize a comprehensive description of attrition, including pre-inclusion, dropout, and attrition due to intermittent missing data, and to test a predictive model of attrition using a data set from a randomized controlled intervention in pediatric asthma. Methods Participants included children, ages 4-12, diagnosed with asthma and their caregivers. Demographic variables and outcome measures of asthma morbidity were examined in 327 families to determine their association with attrition. Results Families who did not complete randomization and the intervention tended to have younger caregivers than did completers. Caregiver age emerged as the most consistent predictor of pre-inclusion and dropout attrition. There were no significant predictors of attrition due to intermittent missing data. Conclusion Younger caregivers may be at particular risk for attrition in pediatric asthma intervention studies and warrant special attention by investigators.