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Organizational Context and Individual Adaptability in Promoting Perceived Importance and Use of Best Practices for Substance Use

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Abstract

This study examines associations among organizational context, staff attributes, perceived importance, and use of best practices among staff in community-based, juvenile justice (JJ) agencies. As part of the National Institute on Drug Abuse’s Juvenile Justice—Translational Research on Interventions for Adolescents in the Legal System (JJ-TRIALS) study, 492 staff from 36 JJ agencies were surveyed about the perceived importance and use of best practices within their organization in five substance use practice domains: screening, assessment, standard referral, active referral, and treatment support. Structural equation models indicated that supervisory encouragement and organizational innovation/flexibility were associated with greater individual adaptability. Adaptability (willingness to try new ideas, use new procedures, adjust quickly to change), was positively correlated with importance ratings. Importance ratings were positively associated with reported use of best practices. Organizational climates that support innovation likely affect use of practices through staff attributes and perceptions of the importance of such services.

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References

  1. Belenko S, Logan TK. Delivering effective treatment to adolescents: improving the juvenile drug court model. Journal of Substance Abuse Treatment. 2003; 25(3):189–211.

    Article  PubMed  Google Scholar 

  2. Dembo R, Belenko S, Childs K, et al. Gender differences in drug use, sexually transmitted diseases, and risky sexual behavior among arrested youths. Journal of Child & Adolescent Substance Abuse. 2010; 19(5):424–446.

    Article  Google Scholar 

  3. Tolou-Shams M, Brown LK, Gordon G, et al. Arrest history as an indicator of adolescent/young adult substance use and HIV risk. Drug and Alcohol Dependence. 2007; 88(1):87–90.

    Article  PubMed  Google Scholar 

  4. Cottle CC, Lee RJ, Heilbrun K. The prediction of criminal recidivism in juveniles: a meta-analysis. Criminal Justice and Behavior. 2001; 28(3):367–394.

    Article  Google Scholar 

  5. Ritchwood TD, DeCoster J, Metzger IW, et al. Does it really matter which drug you choose? An examination of the influence of type of drug on type of risky sexual behavior. Addictive Behaviors. 2016; 60:97–102.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Teplin LA, Elkington KS, McClelland GM, et al. Major mental disorders, substance use disorders, comorbidity, and HIV-AIDS risk behaviors in juvenile detainees. Psychiatric Services. 2005; 56(7):823–828.

    Article  PubMed  Google Scholar 

  7. Arthur MW, Brown EC, Briney JS, et al. Examination of substance use, risk factors, and protective factors on student academic test score performance. Journal of School Health. 2015; 87(8):497–507.

    Article  Google Scholar 

  8. Gart R, Kelly S. How illegal drug use, alcohol use, tobacco use, and depressive symptoms affect adolescent suicidal ideation: a secondary analysis of the 2011 Youth Risk Behavior Survey. Issues in Mental Health Nursing. 2015; 36(8):614–620.

    Article  PubMed  Google Scholar 

  9. Brooks-Russell A, Conway KP, Liu D, et al. Dynamic patterns of adolescent substance use: results from a nationally representative sample of high school students. Journal of Studies on Alcohol and Drugs. 2015; 76(6):962–970.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Lamont AE, Woodlief D, Malone PS. Predicting high-risk versus higher risk substance use during late adolescence from early adolescent risk factors using latent class analysis. Addiction Research & Theory. 2014; 22(1):78–89.

    Article  Google Scholar 

  11. Marti CN, Stice E, Springer DW. Substance use and abuse trajectories across adolescence: a latent trajectory analysis of a community-recruited sample of girls. Journal of Adolescence. 2010; 33(3):449–461.

    Article  PubMed  Google Scholar 

  12. Winters KC, Lee C-YS. Likelihood of developing an alcohol and cannabis use disorder during youth: association with recent use and age. Drug and Alcohol Dependence. 2008; 92(1–3):239–247. https://doi.org/10.1016/j.drugalcdep.2007.08.005

    Article  PubMed  Google Scholar 

  13. Englund MM, Egeland B, Oliva EM, et al. Childhood and adolescent predictors of heavy drinking and alcohol use disorders in early adulthood: a longitudinal development analysis. Addiction. 2008; 103(Suppl 1):23–35.

    Article  PubMed  PubMed Central  Google Scholar 

  14. McCabe SE, Veliz P, Schulenberg JE. Adolescent context of exposure to prescription opioids and substance use disorder symptoms at age 35: a national longitudinal study. Pain. 2016; 157(10):2173–2178.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Stone AL, Becker LG, Huber AM, et al. Review of risk and protective factors of substance use and problem use in emerging adulthood. Addictive Behaviors. 2012; 37(7):747–775.

    Article  PubMed  Google Scholar 

  16. Swift W, Coffey C, Carlin JB, et al. Adolescent cannabis users at 24 years: trajectories to regular weekly use and dependence in young adulthood. Addiction. 2008; 103(8):1361–1370.

    Article  PubMed  Google Scholar 

  17. Welty LJ, Harrison AJ, Abram KM, et al. Health disparities in drug- and alcohol-use disorders: a 12-year longitudinal study of youths after detention. American Journal of Public Health. 2016; 106(5):872–880.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Wasserman GA, McReynolds LS, Schwalbe CS, et al. Psychiatric disorder, comorbidity, and suicidal behavior in juvenile justice youth. Criminal Justice and Behavior. 2010; 37(12):1361–1376.

    Article  Google Scholar 

  19. Aarons GA, Brown SA, Hough RL, et al. Prevalence of adolescent substance use disorders across five sectors of care. Journal of the American Academy of Child and Adolescent Psychiatry. 2001; 40(4):419–426.

    Article  CAS  PubMed  Google Scholar 

  20. Binard J, Pritchard M, editors. Model policies for juvenile justice and substance abuse treatment: a report by Reclaiming Futures Princeton. NJ: Robert Wood Johnson Foundation (NCJ224679). 2008.

  21. Gardner EM, McLees MP, Steiner JF, et al. The spectrum of engagement in HIV care and its relevance to test-and-treat strategies for prevention of HIV infection. Clinical Infectious Diseases. 2011; 52(6):793–800.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Belenko S, Knight D, Wasserman GA, et al. The Juvenile Justice Behavioral Health Services Cascade: a new framework for measuring unmet substance use treatment services needs among adolescent offenders. Journal of Substance Abuse Treatment. 2017; 74:80–91.

    Article  PubMed  Google Scholar 

  23. Knight DK, Belenko S, Wiley T, et al. Juvenile Justice—Translational Research on Interventions for Adolescents in the Legal System (JJ-TRIALS): a cluster randomized trial targeting system-wide improvement in substance use services. Implementation Science. 2016; 11:57.

    Article  PubMed  Google Scholar 

  24. Hockenberry S, Wachter A, Sladky A. Juvenile residential facility census, 2014. Selected findings (Juvenile Justice Statistics National Report Series Bulletin). 2016. Available online at http://www.corrections.com/news/article/44785-juvenile-residential-facility-census-2014-selected-findings. Accessed 14 February 2018.

  25. Livsey S. Juvenile delinquency probation caseload, 2009 (Juvenile Offenders and Victims National Report Series). Washington, DC: U.S. Department of Justice, Office of Justice Programs, Office of Juvenile Justice and Delinquency Prevention. 2012. Available online at https://www.ojjdp.gov/pubs/239082.pdf. Accessed 14 February 2018.

  26. Young DW, Dembo R, Henderson CE. A national survey of substance abuse treatment for juvenile offenders. Journal of Substance Abuse Treatment. 2007; 32(3):255–266.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Friesen MA, White SV, Byers JF. Handoffs: Implications for nurses. In Hughes RG (Ed.), Patient safety and quality: an evidence-based handbook for nurses (AHRQ Publication No. 08–0043). Rockville, MD: Agency for Healthcare Research and Quality. 2008. Available online at https://www.ncbi.nlm.nih.gov/books/NBK2649/?report=reader#!po=3.12500. Accessed 14 February 2018.

  28. Katzelnick DJ, Von Korff M, Chung H, et al. Applying depression-specific change concepts in a collaborative breakthrough series. The Joint Commission Journal on Quality and Patient Safety. 2005; 31(7):386–397.

    Article  PubMed  Google Scholar 

  29. Wasserman GA, McReynolds LS, Whited AL, et al. Juvenile probation officers’ mental health decision making. Administration and Policy in Mental Health and Mental Health Services Research. 2008; 35(5):410–422.

    Article  PubMed  Google Scholar 

  30. Belenko S, Dembo R. Treating adolescent substance abuse problems in the juvenile drug court. International Journal of Law and Psychiatry. 2003; 26(1):87–110.

    Article  PubMed  Google Scholar 

  31. Kataoka SH, Zhang L, Wells KB. Unmet need for mental health care among U.S. children: Variation by ethnicity and insurance status. American Journal of Psychiatry. 2002; 159(9):1548–1555.

    Article  PubMed  Google Scholar 

  32. Novins DK, Wilson Duclos C, Martin C, et al. Utilization of alcohol, drug, and mental health treatment services among American Indian adolescent detainees. Journal of the American Academy of Child & Adolescent Psychiatry. 1999; 38(9):1102–1108.

    Article  CAS  Google Scholar 

  33. Johnson TP, Cho YI, Fendrich M, et al. Treatment need and utilization among youth entering the juvenile corrections system. Journal of Substance Abuse Treatment. 2004; 26(2):117–128.

    Article  PubMed  Google Scholar 

  34. Andrews DA, Bonta J, Hoge RD. Classification for effective rehabilitation: rediscovering psychology. Criminal Justice and Behavior. 1990; 17(1):19–52.

    Article  Google Scholar 

  35. Juvenile Justice Geography, Policy, Practice & Statistics. Juvenile justice services. Pittsburgh, PA: National Council of Juvenile and Family Court Judges, National Center for Juvenile Justice. 2017. Available online at http://www.jjgps.org/juvenile-justice-services. Accessed 14 February 2018.

  36. Burney Nissen L, Butts JA, Merrigan DM, et al. The Reclaiming Futures Initiative: improving substance abuse intentions for justice-involved youth (A Reclaiming Futures National Program Report). Portland, OR: Portland State University, Reclaiming Futures National Program Office. 2006. Available online at https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=254234. Accessed 14 February 2018.

  37. Office of Applied Studies. Substance-abuse treatment in adult and juvenile correctional facilities: Findings from the uniform facility data set 1997 survey of correctional facilities (Drug and Alcohol Services Information System Series: S-9). Rockville, MD: Office of Applied Studies. 2000.

  38. Wasserman GA, McReynolds LS, Musabegovic H, et al. Evaluating project connect: improving juvenile probationers’ mental health and substance use service access. Administration and Policy in Mental Health and Mental Health Services Research. 2009; 36(6):393–405.

    Article  PubMed  Google Scholar 

  39. Scott CK, Dennis ML, Funk R, et al. Preliminary findings from the JJ-TRIALS National Survey on Behavioral Health Services for youth under community supervision. Paper presented at the Addiction Health Services Research, Seattle, WA, October 14, 2016.

  40. Lipsey MW, Howell JC, Kelly MR, et al. Improving the effectiveness of juvenile justice programs: A new perspective on evidence-based practice. Washington, DC: Georgetown University, Center for Juvenile Justice Reform, Georgetown Public Policy Institute. 2010. Available online at http://njjn.org/uploads/digital-library/CJJR_Lipsey_Improving-Effectiveness-of-Juvenile-Justice_2010.pdf. Accessed 14 February 2018.

  41. Seigle E, Walsh N, Weber J. Core principles for reducing recidivism and improving other outcomes for youth in the Juvenile Justice System. New York: Council of State Governments Justice Center. 2014. Available online at https://csgjusticecenter.org/wp-content/uploads/2014/07/Core-Principles-for-Reducing-Recidivism-and-Improving-Other-Outcomes-for-Youth-in-the-Juvenile-Justice-System.pdf. Accessed 14 February 2018.

  42. Ajzen I. The theory of planned behavior. Organizational behavior and human decision processes. 1991; 50(2):179–211.

    Article  Google Scholar 

  43. Ajzen I, Fishbein M. Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall; 1980.

    Google Scholar 

  44. Ajzen I. The theory of planned behavior. In: P. A. M. Van Langue, Knuglanski AW, Higgins ET (eds). Handbook of theories of social psychology. Vol 1. London, England: Sage Social Psychology Program, 2012, pp. 438–459.

    Chapter  Google Scholar 

  45. Belenko S, Johnson ID, Taxman FS, et al. Probation staff attitudes toward substance abuse treatment and evidence-based practices. International Journal of Offender Therapy and Comparative Criminology. 2016; 62(2):313-333. https://doi.org/10.1177/0306624X16650679

  46. Schlager MD. An assessment of parole officer and administrator attitudes on organizational culture and parole supervision in a northeastern state. Journal of Offender Rehabilitation. 2008; 47(3):271–289.

    Article  Google Scholar 

  47. Farrell JL, Young DW, Taxman FS. Effects of organizational factors on use of juvenile supervision practices. Criminal Justice and Behavior. 2011; 38(6):565–583.

    Article  Google Scholar 

  48. Becan JE, Knight DK, Flynn PM. Innovation and adoption as facilitated by a change-oriented workplace. Journal of Substance Abuse Treatment. 2012; 42(2):179–190.

    Article  PubMed  Google Scholar 

  49. Flynn PM, Simpson DD. Adoption and implementation of evidence-based treatment. In: Miller PM (ed). Evidence-based addiction treatment. San Diego, CA: Elsevier, 2009, pp. 419–437.

    Chapter  Google Scholar 

  50. Simpson DD. Organizational readiness for stage-based dynamics of innovation implementation. Research on Social Work Practice. 2009; 19(5):541–551.

    Article  Google Scholar 

  51. Joe GW, Becan JE, Knight DK, et al. A structural model of treatment program and individual counselor leadership in innovation transfer. BMC Health Services Research. 2017; 17:230.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Aarons GA. Transformational and transactional leadership: association with attitudes toward evidence-based practice. Psychiatric Services. 2006; 57(8):1162–1168.

    Article  PubMed  Google Scholar 

  53. Fuller BE, Rieckmann T, Nunes EV, et al. Organizational readiness for change and opinions toward treatment innovations. Journal of Substance Abuse Treatment. 2007; 33(2):183–192.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Rosenberg L. The reality of implementing evidence-based practices. The Journal of Behavioral Health Services Research. 2010; 37(1):1–3.

    Article  PubMed  Google Scholar 

  55. Proctor EK, Landsverk J, Aarons G, et al. Implementation research in mental health services: an emerging science with conceptual, methodological, and training challenges. Administration and Policy in Mental Health and Mental Health Services Research. 2009; 36(1):24–34.

    Article  PubMed  Google Scholar 

  56. Simmons C, Cochran JK, Blount WR. The effects of job-related stress and job satisfaction on probation officers’ inclinations to quit. American Journal of Criminal Justice. 1997; 21(2):213–229.

    Article  Google Scholar 

  57. Finn P, Kuck S. Addressing probation and parole officer stress. 2003. Available online at https://www.ncjrs.gov/pdffiles1/nij/205620.pdf. Accessed 14 February 2018.

  58. Clear TR, Latessa EJ. Probation officers’ roles in intensive supervision: surveillance versus treatment. Justice Quarterly. 1993; 10(3):441–462.

    Article  Google Scholar 

  59. Belenko S, Robertson A, Knight DK, et al. Using data to identify gaps and track improvements in linking delinquent youth to community behavioral health services: results from analyses of the behavioral health services cascade. Paper presented at the XXXV International Congress on Law and Mental Health, Prague, Czech Republic, 2017, July. 2017.

  60. Aarons GA, Hurlburt M, Horwitz SM. Advancing a conceptual model of evidence-based practice implementation in public service sectors. Administration and Policy in Mental Health and Mental Health Services Research. 2011; 38(1):4–23.

    Article  PubMed  Google Scholar 

  61. Patterson MG, West WA, Shackleton VJ, et al. Validating the organizational climate measure: Links to managerial practices, productivity and innovation. Journal of Organizational Behavior. 2005; 26(4):379–408. https://doi.org/10.1002/job.312

    Article  Google Scholar 

  62. Broome KM, Knight DK, Edwards JR, et al. Leadership, burnout, and job satisfaction in outpatient drug-free treatment programs. Journal of Substance Abuse Treatment. 2009; 37:160–170.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Edwards JR, Knight DK, Broome KM, et al. The development and validation of a Transformational Leadership Survey for substance use treatment programs. Substance Use and Misuse. 2010; 45:1279–1302.

    Article  PubMed  Google Scholar 

  64. Joe GW, Broome KM, Simpson DD, et al. Counselor perceptions of organizational factors and innovations training experiences. Journal of Substance Abuse Treatment. 2007; 33(2):171–182.

    Article  PubMed  PubMed Central  Google Scholar 

  65. SAS Institute Inc. SAS/STAT® 9.4 user’s guide. Cary, NC: SAS Institute Inc.; 2016.

    Google Scholar 

  66. Yuan K-H, Zhong X. Outliers, leverage observations, and influential cases in factor analysis: Using robust procedures to minimize their effect. Sociological Methodology. 2008; 38(1):329–368.

    Article  Google Scholar 

  67. Zwick WR, Velicer WF. Comparison of five rules for determining the number of components to retain. Psychological Bulletin. 1986; 99(3):432–442. https://doi.org/10.1037/0033-2909.99.3.432

    Article  Google Scholar 

  68. Yong AG, Pearce S. A beginner’s guide to factor analysis: focusing on exploratory factor analyses. Tutorials in Quantitative Methods for Psychology. 2013; 9(2):79–94.

    Article  Google Scholar 

  69. Cronbach LJ. Essentials of psychological testing. New York, NY: Harper Collins; 1990.

    Google Scholar 

  70. American Society of Addiction Medicine. The ASAM criteria: treatment criteria for addictive, substance-related, and co-occurring conditions. Chevy Chase, MD: American Society of Addiction Medicine; 2013.

    Google Scholar 

  71. Substance Abuse and Mental Health Services Administration. A guide to Evidence-Based Practices (EBP). 2016. Available online at http://www.samhsa.gov/ebp-web-guide. Accessed 14 February 2018.

  72. Casper ES. The theory of planned behavior applied to continuing education for mental health professionals. Psychiatric Services. 2007; 58(10):1324–1329.

    Article  PubMed  Google Scholar 

  73. Aarons GA, Green AE, Palinkas LA, et al. Dynamic adaptation process to implement an evidence-based child maltreatment intervention. Implementation Science. 2012; 7:32.

    Article  PubMed  Google Scholar 

  74. Aarons GA, Ehrhart MG, Farahnak LR. The Implementation Leadership Scale (ILS): development of a brief measure of unit level implementation leadership. Implementation Science. 2014; 9(1):45.

    Article  PubMed  Google Scholar 

  75. Burns C, Barton K, Kerby S. The state of diversity in today’s workforce: as our nation becomes more diverse so too does our workforce. Center for American Progress. 2012. Available online at https://www.americanprogress.org/issues/economy/reports/2012/07/12/11938/the-state-of-diversity-in-todays-workforce/. Accessed 14 February 2018.

  76. Kunze F, Boehm S, Bruch H. Age, resistance to change, and job performance. Journal of Managerial Psychology. 2013; 28(7–8):741–760.

    Article  Google Scholar 

  77. Morris MG, Venkatesh V, Ackerman PL. Gender and age differences in employee decisions about new technology: An extension to the theory of planned behavior. IEEE Transactions on Engineering Management. 2005; 52(1):69–84.

    Article  Google Scholar 

  78. Cuellar AR, McReynolds LS, Wasserman GA. A cure for crime: can mental health treatment diversion reduce crime among youth? Journal of Policy Analysis and Management. 2006; 25(1):197–214.

    Article  PubMed  Google Scholar 

  79. Hoeve M, McReynolds LS, Wasserman GA. Service referrals for juvenile justice youths: Associations with psychiatric disorder and recidivism. Administration and Policy in Mental Health and Mental Health Services Research. 2014; 41(3):379–389.

    Article  PubMed  Google Scholar 

  80. Skowyra KR, Cocozza JJ, Williams V, et al. Mental health screening within juvenile justice: the next frontier. Delmar, NY: National Center for Mental Health and Juvenile Justice. 2007. Available online at http://www.modelsforchange.net/publications/198. Accessed 14 February 2018.

    Google Scholar 

  81. Akers R, Begich T, Cameron H, et al. Moving toward equal ground: Engaging the capacity of youth, families, and communities to improve treatment services and outcomes in the Juvenile Justice System (A Reclaiming Futures National Fellowship Report). Portland, OR: Reclaiming Futures National Program Office, Portland State University. 2007. Available online at https://www.reclaimingfutures.org/sites/default/files/documents/RFreport_MovingToward07.pdf. Accessed 14 February 2018.

  82. Young DW, Farrell JL, Taxman FS. Impacts of juvenile probation training models on youth recidivism. Justice Quarterly. 2013; 30(6):1068–1089.

    Article  Google Scholar 

  83. Kurtz D, Linnemann T. Improving probation through client strengths: evaluating strength based treatments for at risk youth. Western Criminology Review. 2006; 7(1):9–19.

    Google Scholar 

  84. Pullmann MD, Kerbs J, Koroloff N, et al. Juvenile offenders with mental health needs: reducing recidivism using wraparound. Crime & Delinquency. 2006; 52(3):375–397. https://doi.org/10.1177/0011128705278632

    Article  Google Scholar 

  85. Hoagwood KE, Cavaleri MA, Serene Olin S, et al. Family support in children’s mental health: a review and synthesis. Clinical Child and Family Psychology Review. 2010; 13(1):1–45. https://doi.org/10.1007/s10567-009-0060-5

    Article  PubMed  Google Scholar 

  86. Aarons GA, Ehrhart MG, Farahnak LR, et al. Leadership and organizational change for implementation (LOCI): a randomized mixed method pilot study of a leadership and organization development intervention for evidence-based practice implementation. Implementation Science, 2015; 10:11. Available online at http://implementationscience.biomedcentral.com/articles/10.1186/s13012-014-0192-y. Accessed 14 February 2018.

  87. Simpson DD, Dansereau DF. Assessing organizational functioning as a step toward innovation. Science & Practice Perspectives. 2007; 3(2):20–28.

    Article  Google Scholar 

  88. Ehrhart MG, Aarons GA, Farahnak LR. Assessing the organizational context for EBP implementation: The development and validity testing of the Implementation Climate Scale (ICS). Implementation Science. 2014; 9(157). https://doi.org/10.1186/s13012-014-0157-1

  89. Lehman WEK, Simpson DD, Knight K, et al. Integration of treatment innovation planning and implementation: Strategic process models and organizational challenges. Psychology of Addictive Behaviors. 2011; 25(2):252–261.

    Article  PubMed  PubMed Central  Google Scholar 

  90. Henderson CE, Young DW, Jainchill N, et al. Program use of effective drug abuse treatment practices for juvenile offenders. Journal of Substance Abuse Treatment. 2007; 32(3):279–290.

    Article  PubMed  Google Scholar 

  91. Henderson CE, Taxman FS, Young DW. A Rasch model analysis of evidence-based treatment practices used in the criminal justice system. Drug and Alcohol Dependence. 2008; 93(1–2):163–175.

    Article  PubMed  Google Scholar 

  92. Aarons GA, Ehrhart MG, Farahnak LR, et al. Aligning leadership across systems and organizations to develop a strategic climate for evidence-based practice implementation. Annual Review of Public Health. 2014; 35:255–274.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors would like to thank the members of the JJ-TRIALS Cooperative for their dedication to the project and assistance with study protocol implementation. The contributions of members of the Measurement and Data Management—Staff Survey Workgroup were particularly beneficial (in addition to several authors, these individuals include Doris Weiland, Jessica Sales, and Wayne Welsh). We would also like to thank the individuals at each site who invested time and effort on this project and worked collaboratively with research staff to ensure quality data.

Funding

This study was funded under the JJ-TRIALS cooperative agreement, funded at the National Institute on Drug Abuse (NIDA) by the National Institutes of Health (NIH). The authors gratefully acknowledge the collaborative contributions of NIDA and support from the following grant awards: Chestnut Health Systems (U01DA036221), Columbia University (U01DA036226), Emory University (U01DA036233), Mississippi State University (U01DA036176), Temple University (U01DA036225), Texas Christian University (U01DA036224), and University of Kentucky (U01DA036158). The NIDA Science Officer on this project is Tisha Wiley. The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of the NIDA, NIH, or the participating universities or JJ systems.

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Authors and Affiliations

  1. Institute of Behavioral Research, Texas Christian University, TCU Box 298740, Fort Worth, TX, 76109, USA

    Danica K. Knight PhD, George W. Joe EdD & Jennifer E. Becan PhD

  2. Department of Counseling, Educational Psychology, and Foundations, Mississippi State University, Starkville, MS, USA

    David T. Morse PhD

  3. Lighthouse Institute, Chestnut Health Systems, Normal, IL, USA

    Corey Smith BS

  4. Behavioral Science, University of Kentucky, Lexington, KY, USA

    Hannah Knudsen PhD & Carl Leukefeld DSW

  5. Department of Criminal Justice, Temple University, Philadelphia, PA, USA

    Ingrid Johnson MA

  6. Center for the Promotion of Mental Health in Juvenile Justice, Columbia University/NYSPI, New York, NY, USA

    Gail A. Wasserman PhD & Larkin S. McReynolds PhD

  7. Council of State Governments Justice Center, Austin, TX, USA

    Nancy Arrigona MPA

  8. National Institute on Drug Abuse, Bethesda, MD, USA

    Tisha R. A. Wiley PhD

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Knight, D.K., Joe, G.W., Morse, D.T. et al. Organizational Context and Individual Adaptability in Promoting Perceived Importance and Use of Best Practices for Substance Use. J Behav Health Serv Res 46, 192–216 (2019). https://doi.org/10.1007/s11414-018-9618-7

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