Browsing by Author "O’Reilly, Lauren"

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    Early development of local data dashboards to depict the substance use care cascade for youth involved in the legal system: qualitative findings from end users
    (Springer Nature, 2024-05-30) Dir, Allyson L.; O’Reilly, Lauren; Pederson, Casey; Schwartz, Katherine; Brown, Steven A.; Reda, Khairi; Gillenwater, Logan; Gharbi, Sami; Wiehe, Sarah E.; Adams, Zachary W.; Hulvershorn, Leslie A.; Zapolski, Tamika C. B.; Boustani, Malaz; Aalsma, Matthew C.; Psychiatry, School of Medicine
    Introduction: Rates of substance use are high among youth involved in the legal system (YILS); however, YILS are less likely to initiate and complete substance use treatment compared to their non legally-involved peers. There are multiple steps involved in connecting youth to needed services, from screening and referral within the juvenile legal system to treatment initiation and completion within the behavioral health system. Understanding potential gaps in the care continuum requires data and decision-making from these two systems. The current study reports on the development of data dashboards that integrate these systems' data to help guide decisions to improve substance use screening and treatment for YILS, focusing on end-user feedback regarding dashboard utility. Methods: Three focus groups were conducted with n = 21 end-users from juvenile legal systems and community mental health centers in front-line positions and in decision-making roles across 8 counties to gather feedback on an early version of the data dashboards; dashboards were then modified based on feedback. Results: Qualitative analysis revealed topics related to (1) important aesthetic features of the dashboard, (2) user features such as filtering options and benchmarking to compare local data with other counties, and (3) the centrality of consistent terminology for data dashboard elements. Results also revealed the use of dashboards to facilitate collaboration between legal and behavioral health systems. Conclusions: Feedback from end-users highlight important design elements and dashboard utility as well as the challenges of working with cross-system and cross-jurisdiction data.
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    Impact of learning health systems on cross-system collaboration between youth legal and community mental health systems: a type II hybrid effectiveness-implementation trial
    (Springer Nature, 2024-12-24) O’Reilly, Lauren; Sun, Dayu; Schwartz, Katherine; Gillenwater, Logan; Dir, Allyson; Monahan, Patrick; Aarons, Gregory A.; Saldana, Lisa; Adams, Zachary; Zapolski, Tamika; Hulvershorn, Leslie; Aalsma, Matthew C.; Pediatrics, School of Medicine
    Background: Youth involved in the legal system have disproportionately higher rates of problematic substance use than non-involved youth. Identifying and connecting legal-involved youth to substance use intervention is critical and relies on the connection between legal and behavioral health agencies, which may be facilitated by learning health systems (LHS). We analyzed the impact of an LHS intervention on youth legal and behavioral health personnel ratings of their cross-system collaboration. We also examined organizational climate toward evidence-based practice (EBP) over and above the LHS intervention. Methods: Data were derived from a type II hybrid effectiveness trial implementing an LHS intervention with youth legal and community mental health centers (CMHCs) in eight Indiana counties. Using a stepped wedge design, counties were randomly assigned to one of three cohorts and stepped in at nine-month intervals. Counties were in the treatment phase for 18 months, after which they were in the maintenance phase. Youth legal system and CMHC personnel completed five waves of data collection (n=307 total respondents, ranging from 108-178 per wave). Cross-system collaboration was measured via the Cultural Exchange Inventory, organizational EBP climate via the Implementation Climate Scale and Implementation Citizenship Behavior Scale, and intervention via a dummy-coded indicator variable. We conducted linear mixed models to examine: 1) the treatment indicator, and 2) the treatment indicator and organizational EBP climate variables on cross-system collaboration. Results: The treatment indicator was not significantly associated with cross-system collaboration. When including the organizational EBP climate variables, the treatment indicator significantly predicted cross-system collaboration. Compared to the control phase, treatment (B=0.41, standard error [SE]=0.20) and maintenance (B=0.60, SE=0.29) phases were associated with greater cross-system collaboration output. Conclusions: The analysis may have been underpowered to detect an effect; third variables may have explained variance in cross-system collaboration, and, thus, the inclusion of important covariates may have reduced residual errors and increased the estimation precision. The LHS intervention may have affected cross-system collaboration perception and offers a promising avenue of research to determine how systems work together to improve legal-involved-youth substance use outcomes. Future research is needed to replicate results among a larger sample and examine youth-level outcomes.