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What Predicts Clinician Dropout from State-Sponsored Managing and Adapting Practice Training

机译:由国家赞助的管理和适应性实践培训如何预测临床医生退出

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Dropouts from system-wide evidence-based practice trainings are high; yet there are few studies on what predicts dropouts. This study examined multilevel predictors of clinician dropout from a statewide training on the Managing and Adapting Practice program. Extra-organizational structural variables, intra-organizational variables and clinician variables were examined. Using multivariable logistic regression analysis, state administrative data and prospectively collected clinician participation data were used to predict dropout. Two characteristics were predictive: younger clinicians and those practicing in upstate-rural areas compared to downstate-urban areas were less likely to drop out from training. Implications for research and policy are described.
机译:全系统基于证据的实践培训的辍学率很高;但是,关于导致辍学的原因的研究很少。这项研究从全州范围的“管理和适应实践”计划培训中检查了临床医生辍学的多层次预测因素。检查了组织外的结构变量,组织内的变量和临床医生的变量。使用多元逻辑回归分析,使用州行政数据和前瞻性收集的临床医生参与数据来预测辍学率。可以预测两个特征:与下州地区相比,年轻的临床医生和在上州农村地区执业的医生退出培训的可能性较小。描述了对研究和政策的影响。

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