What Predicts Clinician Dropout from State-Sponsored Managing and Adapting Practice Training.
What Predicts Clinician Dropout from State-Sponsored Managing and Adapting Practice Training.
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DOI：
10.1007/s10488-015-0709-y
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发表时间：
2016-11
期刊：
影响因子：
--
通讯作者：
Horwitz SM
中科院分区：
文献类型：
--
作者：
Olin SS;Nadeem E;Gleacher A;Weaver J;Weiss D;Hoagwood KE;Horwitz SM
全系统循证实践培训的辍学率很高，但很少有研究预测辍学。本研究探讨了多层次的预测临床医生辍学从全州范围内的培训管理和适应实践计划。组织外结构变量，组织内变量和临床变量进行了检查。使用多变量逻辑回归分析，州行政数据和前瞻性收集的临床医生参与数据被用来预测脱落。有两个特征是预测性的：年轻的临床医生和那些在北部农村地区与南部城市地区相比，不太可能从培训中辍学。研究和政策的影响进行了说明。
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.
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DOI：
10.1016/0749-5978(91)90020-t
发表时间：
1991-12-01
影响因子：
4.6
作者：
AJZEN, I
通讯作者：
AJZEN, I
DOI：
10.1097/chi.0b013e31816485f4
发表时间：
2008-04-01
影响因子：
13.3
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Bruns, Eric J.;Hoagwood, Kimberly Eaton
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Hoagwood, Kimberly Eaton
影响因子：
13.5
作者：
Sitzmann, Traci;Weinhardt, Justin M.
通讯作者：
Weinhardt, Justin M.
影响因子：
1.8
作者：
Howard, Matthew Owen;Allen-Meares, Paula;Ruffolo, Mary C.
通讯作者：
Ruffolo, Mary C.
DOI：
10.1007/s10488-011-0363-y
发表时间：
2012-11-01
影响因子：
2.6
作者：
Saldana, Lisa;Chamberlain, Patricia;Brown, C. Hendricks
通讯作者：
Brown, C. Hendricks