Moving the Needle: Cultivating Systemic Change in Juvenile Services
DOI:
https://doi.org/10.52935/21.1881545.06Abstract
Approximately 1.7 million delinquency cases are disposed in juvenile courts annually (Puzzanchera, Adams, & Sickmund, 2011). Of these youth, tens of thousands experience confinement in the US (Sawyer, 2019), while hundreds of thousands experience probation or are sentenced to community based programs (Harp, Muhlhausen, & Hockenberry, 2019). These youth are placed in the care of programs overseen by directors and clinicians. A survey of facility directors and clinicians from member agencies of the National Partnership for Juvenile Services (NPJS) Behavioral Health Clinical Services (BHCS) committee identified three primary concerns practitioners face in caring for these youth; 1) low resources to recruit and retain quality staff, 2) training that is often not a match for, and does not equip staff to effectively manage the complex needs of acute youth, and 3) the perspective of direct care as an unskilled entry-level position with limited impact on youth’s rehabilitation. This article seeks to address these issues and seeks to highlight potential best practices to resolve for those obstacles within juvenile services.
References
K., Teplin, L., King, D., Longworth, S., Emanuel, K., Romero, E., McClelland, G., Dulcan, M., Washburn, J., Welty, L., & Olson, N. (2013, June). PTSD, Trauma, and Comorbid Psychiatric Disorders in Detained Youth. OJJDP. https://ojjdp.ojp.gov/sites/g/files/xyckuh176/files/pubs/239603.pdf
Angola, A., & Costello, E. J. (1993). Depressive comorbidity in children and adolescents: Empirical, theoretical, and methodological issues. American Journal ofPsychia-try,150(12),1779–1791. https://doi.org/10.1176/ajp.150.12.1779
Barsade, S. G. (2001). The Ripple Effect: Emotional Contagion In Groups. Administrative Science Quarterly, 47(December),644–675. https://doi.org/10.2139/ssrn.250894
Bath, H., & Seita, J. (2018). The Three Pillars of Transforming Care: Trauma and resilience in the other 23 hours. Winnipeg, MB: UW Faculty of Education Publishing.
Bechara, A., Damasio, H., & Damasio, A. R. (2000). Emotion, decision making and the orbitofrontal cortex. Cerebral Cortex (New York, N.Y. : 1991), 10(3), 295–307. https://doi.org/10.1093/cercor/10.3.295
Boutwell, B. B., Barnes, J. C., Beaver, K. M., Haynes, R. D., Nedelec, J. L., & Gibson, C. L. (2015). A unified crime theory: The evolutionary taxonomy. Aggression andViolentBehavior,25,343–353. https://doi.org/10.1016/j.avb.2015.09.003
Brendtro, L., Brokenleg, M., & Van Bockern, S. (2019). Reclaiming youth at risk: Futures of promise. (third edit). Solution Tree.
Bronfenbrenner, U. (1979). The ecology of human development. Harvard University Press. Cambridge, MA: Harvard University Press.
Christakis, N. A., & Fowler, J. H. (2011). Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives -- How Your Friends’ Friends’ Friends Affect Everything You Feel, Think, and Do. New York: Back Bay Books/ Little, Brown and Company.
Damasio, A., & Carvalho, G. B. (2013). The nature of feel-ings: evolutionary and neurobiological origins. Nature ReviewsNeuroscience,14(2),143–152. https://doi.org/10.1038/nrn3403
Del Giudice, M., Ellis, B. J., & Shirtcliff, E. A. (2011). The Adaptive Calibration Model of stress responsivity. Neuroscience and Biobehavioral Reviews, 35(7), 1562–1592. https://doi.org/10.1016/j.neubiorev.2010.11.007
Egelman, D. M., Person, C., & Montague, P. R. (1998). A Computational Role for Dopamine Delivery in Human Decision-Making. Journal of Cognitive Neuroscience, 10(5),623–630. https://doi.org/10.1162/089892998563022
Ellis, B. J., Abrams, L. S., Masten, A. S., Sternberg, R. J., Tottenham, N., & Frankenhuis, W. E. (2020). Hidden talents in harsh environments. Development and Psychopathology,1–19. ]https://doi.org/10.1017/S0954579420000887
Ellis, B. J., Bianchi, J., Griskevicius, V., & Frankenhuis, W. E. (2017). Beyond Risk and Protective Factors: An Adaptation-Based Approach to Resilience. Perspectives onPsychologicalScience,12(4),561–587. https://doi.org/10.1177/1745691617693054
Ellis, B. J., Del Giudice, M., Dishion, T. J., Figueredo, A. J., Gray, P., Griskevicius, V., … Wilson, D. S. (2012). The evolutionary basis of risky adolescent behavior: implications for science, policy, and practice. DevelopmentalPsychology,48(3),598–623. https://doi.org/10.1037/a0026220
Ellis, B. J., Figueredo, A. J., Brumbach, B. H., & Schlomer, G. L. (2009). Fundamental dimensions of environmental risk: The impact of harsh versus unpredictable environments on the evolution and development of life history strategies. Human Nature (Vol. 20). https://doi.org/10.1007/s12110-009-9063-7
Figueredo, A. J., Vasquez, G., Brumbach, B. H., & Schneider, S. M. (2004). The heritability of life history strategy: The k-factor, covitality, and personality. Biodemography and Social Biology, 51(3–4), 121–143. https://doi.org/10.1080/19485565.2004.9989090
Figueredo, A. J., Vasquez, G., Brumbach, B. H., Sefcek, J. A., Kirsner, B. R., & Jacobs, W. J. (2005). The K-factor: Individual differences in life history strategy. Personality and Individual Differences, 39(8), 1349–1360. https://doi.org/10.1016/j.paid.2005.06.009
Glimcher, P. W. (2011). Understanding dopamine and reinforcement learning: the dopamine reward prediction error hypothesis. Proceedings of the National Academy of Sciences of the United States of America, (Suppl 3), 15647–15654. https://doi.org/10.1073/pnas.1014269108
Harp, C., Muhlhausen, D. B., & Hockenberry, S. (2019). Juvenile Justice Statistics, Delinquency Cases in Juvenile Court , 2017. OJJDP National Report Series Fact Sheet, 2017–2020.
Hatfield, E., Cacioppo, J. T., & Rapson, R. L. (1993). Emotional Contagion. Current Directions in PsychologicalScience,2(3),96–100. https://doi.org/10.1111/1467-8721.ep10770953
Institute of Limbic Health. (2021, January). 2020 Impact Report. https://instituteoflimbichealth.org/
Jackson, W. C. (2014, January). The Circle Of Courage: Childhood Socialization In The 21st Century (Dissertation).WayneStateUniversity. https://core.ac.uk/down-load/pdf/56686548.pdf
Johns, S., Dickins, T., & Clegg, H. (2011). Teenage pregnancy and motherhood: How might evolutionary theory in-form policy? Journal of Evolutionary Psychology,9(1),3–19. https://doi.org/10.1556/JEP.9.2011.37.1
Jozefiak, T., Kayed, N. S., Rimehaug, T., Wormdal, A. K., Brubakk, A. M., & Wichstrøm, L. (2016). Prevalence and comorbidity of mental disorders among adolescents living in residential youth care. European Child and AdolescentPsychiatry,25(1),33–47. https://doi.org/10.1007/s00787-015-0700-x
Kiekbusch, R., Price, W., & Theis, J. (2003). Turnover predictors: causes of employee turnover in sheriff‐operated jails. Criminal Justice Studies, 16(2), 67–76. https://doi.org/10.1080/0888431032000115600
Lader, D., Singleton, N., & Meltzer, H. (2003). Psychiatric morbidity among young offenders in England and Wales. International Review of Psychiatry, 15(1–2), 144–147. https://doi.org/10.1080/0954026021000046074
Lambert, E. G. (2001). To stay or quit: A review of the literature on correctional staff turnover. American Journal of Criminal Justice,26(1),61–76. https://doi.org/10.1007/BF02886857
Lambert, E., & Hogan, N. (2009). The importance of job satisfaction and organizational commitment in shaping turnover intent: A test of a causal model. Criminal Justice Review,34(1),96–118. https://doi.org/10.1177/0734016808324230
Lecciso, F., & Colombo, B. (2019). Beyond the Cortico-Centric Models of Cognition: The Role of Subcortical Functioning in Neurodevelopmental Disorders. Frontiers in Psychology,10. https://doi.org/10.3389/fpsyg.2019.02809
Leip, L. A., & Stinchcomb, J. B. (2013). Should I Stay or Should I go?: Job Satisfaction and Turnover Intent of Jail Staff Throughout the United States. Criminal Justice Review,38(2),226–241. https://doi.org/10.1177/0734016813478822
Li, J., & Julian, M. M. (2012). Developmental relationships as the active ingredient: A unifying working hypothesis of “what works” across intervention settings. American Jour-nal of Orthopsychiatry, 82(2), 157–166. https://doi.org/10.1111/j.1939-0025.2012.01151.x
Livanou, M., Furtado, V., Winsper, C., Silvester, A., & Singh, S. P. (2019). Prevalence of Mental Disorders and Symptoms Among Incarcerated Youth: A Meta-Analysis of 30 Studies. International Journal of Forensic Mental Health,18(4),400–414. https://doi.org/10.1080/14999013.2019.1619636
Lizama, J., Matthews, V., & Reyes, S. (2014). What Works? Short-Term, In-Custody Treatment Programs. Center for Public Policy, California State University.
Maslow, A. (1959). New Knowledge in human values. New York, NY: HarperCollins.
Matz, A. K., Wells, J. B., Minor, K. I., & Angel, E. (2012). Predictors of Turnover Intention Among Staff in Juvenile Correctional Facilities. Youth Violence and Juvenile Jus-tice,11(2),115–131. https://doi.org/10.1177/1541204012460873
Minor, K., Dawson-Edwards, C., Wells, J., Griffith, C., & Angel, E. (2009). Understanding Staff Perceptions of Turnover in Corrections. Professional Issues in Criminal Justice, 4(2), 43–58.
Minor, K. I., Wells, J. B., Angel, E., & Matz, A. K. (2011). Predictors of Early Job Turnover Among Juvenile Correctional Facility Staff. Criminal Justice Review, 36(1),58–75. https://doi.org/10.1177/0734016810379253
Misis, M., Kim, B., Cheeseman, K., Hogan, N. L., & Lambert, E. G. (2013). The Impact of Correctional Officer Perceptions of Inmates on Job Stress. SAGE Open, 3(2). https://doi.org/10.1177/2158244013489695
Mitchell, O., Mackenzie, D. L., Styve, G. J., & Gover, A. R. (2000). The impact of individual, organizational, and environmental attributes on voluntary turnover among juvenile correctional staff members. Justice Quarterly, 17(2),333–357. https://doi.org/10.1080/07418820000096351
Office of Juvenile Justice and Delinquency Prevention. (2017, August). “Juvenile Reentry.” Literature review. Development Services Group, Inc. Washington, D.C.: Office of Juvenile Justice and Delinquency Prevention. https://www.ojjdp.gov/mpg/litreviews/Aftercare.pdf
Office of Juvenile Justice and Delinquency Prevention. (2020). OJJDP Statistical Briefing Book. National Center for Juvenile Justice. Disposition of delinquency cases, 1985-2018[Dataset]. https://www.ojjdp.gov/ojstatbb/pro-bation/qa07102.asp?qaDate=2018
Parvizi, J. (2009). Corticocentric myopia: old bias in new cognitive sciences. Trends in Cognitive Sciences, 13(8), 354–359. https://doi.org/10.1016/j.tics.2009.04.008
Puzzanchera, C., Benjamin A., & Sickmund, M. 2011. Juvenile Court Statistics 2008. Pittsburgh, PA: National Center for Juvenile Justice.
Reynolds, J. J., & McCrea, S. M. (2015). Exploitative and deceptive resource acquisition strategies: The role of life history strategy and life history contingencies. Evolution-aryPsychology,13(3),1–21. https://doi.org/10.1177/1474704915593664
Rhodes, K. (2020). Lion in the Field: Survival Instructions from Our Ancestors. Limbic Legacy Publishing.
Rhodes, K., & Rhodes, A. (2017). The pursuit of homeostasis: Closing the gap between science and practice in the treatment of aggression and violence. AggressionandVio-lentBehavior,34,9–19. https://doi.org/10.1016/j.avb.2017.03.003
Sawyer, W. (2019). Youth Confinement: The Whole Pie 2019. Prison Policy Initiative
Schultz, W. (2007). Behavioral dopamine signals. Trends in Neuroscience,30(5),203–210. https://doi.org/10.1016/j.tins.2007.03.007
Schultz, W. (2016a). Dopamine reward prediction-error signalling: a two-component response. Nature Reviews Neuroscience,17(3),183–195. https://doi.org/10.1038/nrn.2015.26
Schultz, W. (2016b). Dopamine reward prediction error coding. Dialogues in Clinical Neuroscience, 18(1), 23–32. https://doi.org/10.31887/DCNS.2016.18.1/wschultz
Simpson, J. a., Griskevicius, V., Kuo, S.I.C., Sung, S., & Collins, W. A. (2012). Evolution, stress, and sensitive periods: The influence of unpredictability in early versus late childhood on sex and risky behavior. Developmental Psy-chology,48(3),674–686. https://doi.org/10.1037/a0027293
Teplin, L. A., Abram, K. M., McClelland, G. M., Dulcan, M. K., & Mericle, A. A. (2002). Psychiatric disorders in youth in juvenile detention. Archives of General Psychia-try,59(12),1133–1143. https://doi.org/10.1001/arch-psyc.59.12.1133
Teplin, L. A., Welty, L. J., Abram, K. M., Dulcan, M. K., Washburn, J. J., Mccoy, K., … Stokes, M. L. (2015). Psychiatric Disorders in Youth After Detention, (September).
Tyler, J. L., Ziedenberg, J., & Lotke, E. (2006). Cost-Effective Youth Corrections: Rationalizing the Fiscal Architecture of Juvenile Justice Systems, Justice Policy Institute.
U.S. Bureau of Labor Statistics. (2019). Bureau of Labor Statistics Occupational Outlook Handbook, Probation Officers and Correctional Treatment Specialists.
Winokur, K. P., Smith, A., Bontrager, S. R., & Blankenship, J. L. (2008). Juvenile recidivism and length of stay. Journal of Criminal Justice, 36(2), 126–137. https://doi.org/10.1016/j.jcrimjus.2008.02.001
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