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      Who gets screened and who tests positive? Drug screening among justice-involved youth in a midwestern urban county

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          Abstract

          Background

          Given high rates of substance use among justice-involved youth, justice systems have attempted to monitor use through drug screening (DS) procedures. However, there is discretion in deciding who is screened for substance use, as not every youth who encounters the system is screened. The aim of the current study was to examine factors associated with selection for and results of oral DS among justice-involved youth assigned to probation to better inform potential DS policy. Electronic court records from 4,668 youth with first-incident records assigned to probation in a midwestern urban county’s juvenile justice system between 2011 and 2016 were included in the analytical sample. Race/ethnicity, gender, age, number of charges and charge type for the current incident were included as independent variables.

          Results

          Multivariable hierarchical logistic regression analyses indicated that males were more likely to be assigned to DS (aOR = 0.40, 95%CI [0.34, 0.46]), and more likely to test positive for use (aOR = 0.43, 95% CI [0.34, 0.54]) than females. As age increased, youth were less likely to be assigned to DS (aOR = 0.91, 95% CI [0.87, 0.94]), with non-significant differences in DS results. Greater number of charges were associated with a higher likelihood of being assigned to DS (aOR = 1.55, 95% CI [1.43, 1.68]). Youth with violent offenses were more likely to be assigned to DS than those with other offense types (property offenses, drug offenses, statutory offenses, disorderly conduct, and all other offenses), but less likely to test positive for use.

          Conclusions

          Many factors were associated with differences in DS, but these factors were not always associated with differential DS results. Demographic or charge-based decisions may not be appropriate for DS assignment.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40352-024-00273-w.

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          Most cited references38

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            The Chi-square test of independence

            The Chi-square statistic is a non-parametric (distribution free) tool designed to analyze group differences when the dependent variable is measured at a nominal level. Like all non-parametric statistics, the Chi-square is robust with respect to the distribution of the data. Specifically, it does not require equality of variances among the study groups or homoscedasticity in the data. It permits evaluation of both dichotomous independent variables, and of multiple group studies. Unlike many other non-parametric and some parametric statistics, the calculations needed to compute the Chi-square provide considerable information about how each of the groups performed in the study. This richness of detail allows the researcher to understand the results and thus to derive more detailed information from this statistic than from many others. The Chi-square is a significance statistic, and should be followed with a strength statistic. The Cramer’s V is the most common strength test used to test the data when a significant Chi-square result has been obtained. Advantages of the Chi-square include its robustness with respect to distribution of the data, its ease of computation, the detailed information that can be derived from the test, its use in studies for which parametric assumptions cannot be met, and its flexibility in handling data from both two group and multiple group studies. Limitations include its sample size requirements, difficulty of interpretation when there are large numbers of categories (20 or more) in the independent or dependent variables, and tendency of the Cramer’s V to produce relative low correlation measures, even for highly significant results.
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              The Drugs/Violence Nexus: A Tripartite Conceptual Framework

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                Author and article information

                Contributors
                icarson@iu.edu
                Journal
                Health Justice
                Health Justice
                Health & Justice
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                2194-7899
                5 April 2024
                5 April 2024
                December 2024
                : 12
                : 13
                Affiliations
                [1 ]GRID grid.34477.33, ISNI 0000000122986657, Department of Pediatrics, , University of Washington School of Medicine, ; Seattle, WA USA
                [2 ]Department of Psychology, Indiana University Indianapolis, ( https://ror.org/03eftgw80) 402 N. Blackford St., LD 124, Indianapolis, IN 46202 USA
                [3 ]GRID grid.257413.6, ISNI 0000 0001 2287 3919, Department of Psychiatry, Adolescent Behavioral Health Research Program, , Indiana University School of Medicine, ; Indianapolis, IN USA
                [4 ]GRID grid.257413.6, ISNI 0000 0001 2287 3919, Department of Biostatistics, , Indiana University School of Medicine, ; Indianapolis, IN USA
                [5 ]GRID grid.257413.6, ISNI 0000 0001 2287 3919, Department of Pediatrics, Section of Adolescent Medicine, Adolescent Behavioral Health Research Program, , Indiana University School of Medicine, ; Indianapolis, IN USA
                Author information
                http://orcid.org/0000-0002-9872-5848
                Article
                273
                10.1186/s40352-024-00273-w
                10997690
                38578372
                ddfbcb7b-84d3-448f-9989-e86f4446a79b
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 27 October 2022
                : 31 March 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000133, Agency for Healthcare Research and Quality;
                Award ID: R01HS022681
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000026, National Institute on Drug Abuse;
                Award ID: UG1DA050070
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2024

                drug screening,juvenile justice,juvenile probation
                drug screening, juvenile justice, juvenile probation

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