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Crossing the Age Divide: Cross-Age Collaboration Between Programs Serving Transition-Age Youth

  • Maryann Davis
  • Nancy Koroloff
  • Kathryn Sabella
  • Marianne Sarkis
Article

Abstract

Programs that serve transition-age youth with serious mental health conditions typically reside in either the child or the adult system. Good service provision calls for interactions among these programs. The objective of this research was to discover programmatic characteristics that facilitate or impede collaboration with programs serving dissimilar age groups, among programs that serve transition-age youth. To examine this “cross-age collaboration,” this research used social network analysis methods to generate homophily and heterophily scores in three communities that had received federal grants to improve services for this population. Heterophily scores (i.e., a measure of cross-age collaboration) in programs serving only transition-age youth were significantly higher than the heterophily scores of programs that served only adults or only children. Few other program markers or malleable program factors predicted heterophily. Programs that specialize in serving transition-age youth are a good resource for gaining knowledge of how to bridge adult and child programs.

Notes

Acknowledgements

This manuscript was developed under a grant with funding from the National Institute on Disability, Independent Living, and Rehabilitation Research and the Center for Mental Health Services of the Substance Abuse and Mental Health Services Administration (Grant H133B090018, to the first author, The Learning and Working During the Transition to Adulthood RRTC). We are grateful to John Coppola, Pnina Goldfarb, Bruce Kamradt, and DeDe Sieler for their help with this project and the programs and their respondents who participated in this research. The contents of this paper do not necessarily represent the policy of NIDILRR or SAMHSA and you should not assume endorsement by the Federal Government.

Compliance with Ethical Standards

Conflict of Interest

There are no conflicts of interest to report.

References

  1. 1.
    Costello EJ, Egger H, Angold A. 10-Year Research Update Review: The Epidemiology of Child and Adolescent Psychiatric Disorders: I. Methods and Public Health Burden. Journal of the American Academy of Child and Adolescent Psychiatry. 2005; 44(10): 972–986.CrossRefPubMedGoogle Scholar
  2. 2.
    U.S. Government Accountability Office. Young adults with serious mental illness. Washington, DC: U.S. Government Accountability Office, 2008.Google Scholar
  3. 3.
    U.S. Census Bureau. Annual estimates of the resident population by single year of age and sex for the United States: April 1, 2010 to July 1, 2014. Available online at https://www.census.gov/popest/data/datasets.html. Accessed March 15, 2017.
  4. 4.
    Vander Stoep A, Beresford SA, Weiss NS, et al. Community-based study of the transition to adulthood for adolescents with psychiatric disorder. American Journal of Epidemiology. 2000; 152(4): 352–362.CrossRefPubMedGoogle Scholar
  5. 5.
    Armstrong KH, Dedrick RF, Greenbaum PE. Factors Associated with Community Adjustment of Young Adults with Serious Emotional Disturbance: A Longitudinal Analysis. Journal of Emotional and Behavioral Disorders. 2003; 11(2): 66–76.CrossRefGoogle Scholar
  6. 6.
    Wagner M, Newman L, Cameto R, et al. Changes over time in the early postschool outcomes of youth with disabilities. A report of findings from the national longitudinal transition study (NLTS) and the national longitudinal transition study-2 (NLTS2). Menlo Park, CA: SRI International, 2005.Google Scholar
  7. 7.
    Wagner M, Newman L. Longitudinal transition outcomes of youth with emotional disturbances. Psychiatric Rehabilitation Journal. 2012; 35(3): 199–208.CrossRefPubMedGoogle Scholar
  8. 8.
    Hartley, MT. Increasing resilience: Strategies for reducing dropout rates for college students with psychiatric disabilities. American Journal of Psychiatric Rehabilitation. 2010; 13(4): 295–315.CrossRefGoogle Scholar
  9. 9.
    Kessler RC, Foster CL, Saunders WB, et al.. Social consequences of psychiatric disorders, I: Educational attainment. American Journal of Psychiatry. 1995; 152(7): 1026–1032.CrossRefPubMedGoogle Scholar
  10. 10.
    Davis M, Delman J, Duperoy T. Employment and careers in young adults with psychiatric disabilities. Worcester, MA: University of Massachusetts Medical School, Department of Psychiatry, Center for Mental Health Services Research, Transitions RTC; 2013.Google Scholar
  11. 11.
    Fernandes-Alcantara AL. Runaway and homeless youth: Demographics and programs. Washington, DC: Congressional Research Service; 2013.Google Scholar
  12. 12.
    Cauce AM, Paradise M, Ginzler JA, et al. The characteristics and mental health of homeless adolescents age and gender differences. Journal of Emotional and Behavioral Disorders. 2000; 8(4): 230–239.CrossRefGoogle Scholar
  13. 13.
    Davis M, Banks S, Fisher W, et al. Arrests of adolescent clients of a public mental health system during adolescence and emerging adulthood. Psychiatric Services. 2007; 58:1454–1460.CrossRefPubMedGoogle Scholar
  14. 14.
    Sheidow AJ, McCart M, Zajac K, et al. Prevalence and impact of substance use among emerging adults with serious mental health conditions. Psychiatric Rehabilitation Journal. 2012; 35(3): 235–243.CrossRefPubMedPubMedCentralGoogle Scholar
  15. 15.
    National Conference of State Legislatures. Extending Foster Care Beyond 18. Available online at http://www.ncsl.org/research/human-services/extending-foster-care-to-18.aspx. Accessed March 15, 2017.
  16. 16.
    Davis M, Koroloff N. The great divide: How mental health policy fails young adults. In: Fisher WH, ed. Community Based Mental health Services for Children and Adolescents. Vol 14. Oxford, UK: Emerald Group Publishing Limited; 2006: 53–74.CrossRefGoogle Scholar
  17. 17.
    Davis M, Hunt B. State adult mental health systems’ efforts to address the needs of young adults in transition to adulthood. Rockville, MD: U.S. Substance Abuse and Mental Health Services Administration, Center for Mental Health Services; 2005.Google Scholar
  18. 18.
    Davis M, Koroloff N, Johnsen M. Social network analysis of child and adult interorganizational connections. Psychiatric Rehabilitation Journal. 2012; 35(3): 265–272.CrossRefPubMedGoogle Scholar
  19. 19.
    Friesen BJ, Koroloff N, Walker J, et al. Family and Youth Voice in Systems Care: The Evolution of Influence. Best Practices in Mental Health. 2011; 7(1): 1–25.Google Scholar
  20. 20.
    Cox K, Baker D, Wong MA. Wraparound retrospective: Facotrs predicting positive outcomes. Journal of Emotional and Behavioral Disorders. 2010; 18(1): 3–13.CrossRefGoogle Scholar
  21. 21.
    Holwerda A, Fokkens AS, Engbers C, et al. Collaboration between mental health and employment services to supportr employment of individuals with mental disorders. Disability and Rehabilitation. 2016; 38(13): 1250–1256.CrossRefPubMedGoogle Scholar
  22. 22.
    Swanson SJ, Courtney CT, Meyer RH, et al. Strategies for integrated employment and mental health services. Psychiatric Rehabilitation Journal. 2014; 37(2): 86–89.CrossRefPubMedGoogle Scholar
  23. 23.
    Substance Abuse and Mental Health Services Administration. “Now is the Time” Healthy Transitions (HT): Improving Life Trajectories for Youth and Young Adults with, or at Risk for, Serious Mental Health Conditions: Request for Applications. Available online at https://www.samhsa.gov/sites/default/files/grants/pdf/sm-14-017_0.pdf. Accessed March 15, 2017.
  24. 24.
    Haber MG, Karpur A, Deschênes N, et al. Predicting improvement of transitioning young people in the partnerships for youth transition initiative: Findings from a multisite demonstration. The Journal of Behavioral Health Services and Research. 2008; 35(4): 488–513.CrossRefPubMedGoogle Scholar
  25. 25.
    Wholey DR, Huonker JW. Effects of generalism and niche overlap on network linkages among youth service agencies. Academy of Management Journal. 1993; 36(2): 349–371.Google Scholar
  26. 26.
    Provan KG, Sebastian JG. Networks within Networks: Service Link Overlap, Organizational Cliques, and Network Effectiveness. The Academy of Management Journal. 1998; 41(4): 453–463.Google Scholar
  27. 27.
    Valente TW, Coronges KA, Stevens GD, et al. Collaboration and competition in a children's health initiative coalition: A network analysis. Evaluation and program planning. 2008; 31(4): 392–402.CrossRefPubMedGoogle Scholar
  28. 28.
    Bunger AC. Administrative Coordination in Non-Profit Human Service Delivery Networks: The Role of Competition and Trust. Nonprofit Volunteer Sector Quality. 2013; 42(6): 1155–1175.CrossRefGoogle Scholar
  29. 29.
    Majchrzak A, Wang Q. Breaking the functional mind-set in process organizations. Harvard Business Review. 1996; 5:93–99.Google Scholar
  30. 30.
    White CM, Conway AM, Schoettker PJ, et al. Utilizing improvement science methods to improve physician compliance with proper hand hygiene. Pediatrics. 2012; 129: 1042–1050.CrossRefGoogle Scholar
  31. 31.
    Uchida M, Stone PW, Conway LJ, et al. Exploring infection prevention: Policy implications from a qualitative study. Policy, Politics & Nursing Practice. 2011; 12: 82–89.CrossRefGoogle Scholar
  32. 32.
    Cook-Sather A. From traditional accountability to shared responsibility: The benefits and challenges of student consultants gathering midcourse feedback in college classrooms. Assessment & Evaluation in Higher Education. 2009; 34(2): 231–241.CrossRefGoogle Scholar
  33. 33.
    Vangen S, Huxham C. Nurturing collaborative relations: Building trust in interorganizational collaboration. The Journal of Applied Behavioral Science. 2003; 39(1): 5–31.CrossRefGoogle Scholar
  34. 34.
    Glisson C, Landsvert J, Schoenwalk S, et al. Assessing the organizational social context (OSC) of mental health services: Implications for research and practice. Administration & Policy in Mental Health and Mental Health Services Research. 2008; 35: 98–113.CrossRefGoogle Scholar
  35. 35.
    Kreger M, Brindis CD, Manuel DM, et al. Lessons learned in systems change initiatives: Benchmarks and indicators. American Journal of Community Psychology. 2007; 39(3–4): 301–320.CrossRefPubMedGoogle Scholar
  36. 36.
    Salem DA, Foster-Fishman PG, Goodkind JR. The adoption of innovation in collective action organizations. American Journal of Community Psychology. 2002; 30(5): 681–710.CrossRefPubMedGoogle Scholar
  37. 37.
    Morrissey JP, Calloway M, Bartko WT, et al. Local mental health authorities and service system change: Evidence from the Robert Wood Johnson Foundation Program on Chronic Mental Illness. The Milbank quarterly. 1994 72:49–80.CrossRefPubMedGoogle Scholar
  38. 38.
    Nicaise P, Tulloch S, Dubois V, et al. Using social network analysis for assessing mental health and social services inter-organisational collaboration: Findings in deprived areas in Brussels and London. Administration and Policy in Mental Health and Mental Health Services Research. 2013; 40(4): 331–339.CrossRefPubMedGoogle Scholar
  39. 39.
    Milward HB, Provan KG, Fish A, et al. Governance and collaboration: An evolutionary study of two mental health networks. Journal of Public Administration Research and Theory. 2009: 20(1): i125-i141.Google Scholar
  40. 40.
    Van de Ven AH, Ferry DL. Measuring and assessing organizations. New York: Wiley. 1980.Google Scholar
  41. 41.
    Morrissey JP, Johnsen MC, Calloway MO. Methods for system-level evaluations of child mental health service networks. In: MH Epstein, K Kutash, A Duchnowski (Eds). Outcomes for children and youth with emotional and behavioral disorders and their families: Programs and evaluation best practices. Austin, TX: PRO-ED, 1998, pp. 297–327.Google Scholar
  42. 42.
    Laumann EO, Marsden PV, Prensky D. The Boundary Specification Problem in Network Analysis. In: Freeman LC, White D, Romney AK, eds. Research methods in social network analysis. Fairfax, VA.: George Mason University Press, 1989: 18–34.Google Scholar
  43. 43.
    Walker J, Koroloff N, Mehess S. Community and state systems change associated with the healthy transitions initative. Journal of Behavioral Health Services and Research. 2015; 42(2): 254–271.CrossRefPubMedGoogle Scholar
  44. 44.
    Kossinets G. Effects of missing data in social networks. Social Networks. 2006; 28(3): 247–268.CrossRefGoogle Scholar
  45. 45.
    Borgatti SP. On the robustness of centrality measures under conditions of imperfect data. Social Networks. 2006; 28(2): 124–136.CrossRefGoogle Scholar
  46. 46.
    Costenbader E, Valente TW. The stability of centrality measures when networks are sampled. Social Networks. 2003; 25(4): 283–307.CrossRefGoogle Scholar
  47. 47.
    Borgatti SP, Everett MG, Freeman LC. Ucinet 6 for Windows: Software for Social Network Analysis. Harvard, MA: Analytic Technologies; 2002.Google Scholar
  48. 48.
    McPherson M, Smith-Lovin L, Cook JM. Birds of a feather: Homophily in social networks. Annual Review Of Sociology. 2001 27: 415–444.CrossRefGoogle Scholar

Copyright information

© National Council for Behavioral Health 2018

Authors and Affiliations

  1. 1.Transitions to Adulthood Center for Research, Systems and Psychosocial Advances Research Center, Department of PsychiatryUniversity of Massachusetts Medical SchoolShrewsburyUSA
  2. 2.Regional Research Institute, School of Social WorkPortland State UniversityPortlandUSA
  3. 3.International Development and Social Change, Global and Community Health ProgramClark UniversityWorcesterUSA

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