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Multicenter Study
. 2020 Jul;47(4):501-514.
doi: 10.1007/s10488-019-01007-z.

Improving Substance Use Services for Juvenile Justice-Involved Youth: Complexity of Process Improvement Plans in a Large Scale Multi-site Study

Jennifer E Becan  1 , Jacqueline Horan Fisher  2 , Ingrid D Johnson  3 , John P Bartkowski  4 , Robert Seaver  5 , Sheena K Gardner  6 , Gregory A Aarons  7 , Tiffaney L Renfro  8 , Roxanne Muiruri  9 , Lindrell Blackwell  10 , Kaitlin N Piper  8 , Tisha A Wiley  11 , Danica K Knight  9
Affiliations
Multicenter Study

Improving Substance Use Services for Juvenile Justice-Involved Youth: Complexity of Process Improvement Plans in a Large Scale Multi-site Study

Jennifer E Becan et al. Adm Policy Ment Health. 2020 Jul.

Abstract

Despite the high prevalence of substance use disorders among juvenile offenders, most do not receive services. System-level process improvement plans to address unmet service needs can be optimized by combining data-driven decisions and facilitated meetings with behavioral health stakeholders. This paper operationalizes and analyzes the level of specified complexity among process improvement plans evident within 36 juvenile probation and drug courts across 7 states. To inform more effective implementation strategies, this analysis identifies and prioritizes promising courses of agency enhancement toward addressing unmet substance use needs.

Keywords: Consolidated framework for advancing implementation research; Juvenile justice; Quality improvement planning; Substance use services; The Exploration, Preparation, Implementation, and Sustainment Framework.

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Conflict of interest statement

Conflict of interest

GAA serves on the Editorial Board for Administration and Policy in Mental Health and Mental Health Services Research; all decisions on this paper were made by another editor. The authors declare that they have no other competing interests.

Figures

Figure 1.
Figure 1.
Hypothetical retention in the Cascade as youth transition across service systems.
Figure 2.
Figure 2.
Indicates plan complexity including the plan target integration, radicalness, and data emphasis by goal domain.
See this image and copyright information in PMC

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