Preaching to the Choir? Predictors of Engagement in a Community-Based Learning Collaborative.
Identifieur interne : 000029 ( Main/Corpus ); précédent : 000028; suivant : 000030Preaching to the Choir? Predictors of Engagement in a Community-Based Learning Collaborative.
Auteurs : Amanda Jensen-Doss ; Ashley M. Smith ; Lucia M. Walsh ; Vanesa Mora Ringle ; Elizabeth Casline ; Zabin Patel ; Ashley M. Shaw ; Colleen Maxwell ; Rochelle Hanson ; Ruthlyn WebsterSource :
- Administration and policy in mental health [ 1573-3289 ] ; 2019.
Abstract
This study examined predictors of engagement among 283 professionals from 34 agencies participating in three community-based learning collaboratives (CBLCs) on trauma-focused cognitive-behavioral therapy (TF-CBT). Only 50.2% of participants completed the CBLC, primarily due to not attending consultation calls or completing training cases. While higher engagement was associated with being trauma-informed and using more of the TF-CBT components prior to the CBLC, most predictors were not significant, perhaps due to ceiling effects. Positive attitudes and high organizational support were not sufficient to ensure engagement. Future research using longitudinal measurement of a wider range of predictors is needed.
DOI: 10.1007/s10488-019-00985-4
PubMed: 31617139
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pubmed:31617139Le document en format XML
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<front><div type="abstract" xml:lang="en">This study examined predictors of engagement among 283 professionals from 34 agencies participating in three community-based learning collaboratives (CBLCs) on trauma-focused cognitive-behavioral therapy (TF-CBT). Only 50.2% of participants completed the CBLC, primarily due to not attending consultation calls or completing training cases. While higher engagement was associated with being trauma-informed and using more of the TF-CBT components prior to the CBLC, most predictors were not significant, perhaps due to ceiling effects. Positive attitudes and high organizational support were not sufficient to ensure engagement. Future research using longitudinal measurement of a wider range of predictors is needed.</div>
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