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.
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Notes
This figure is calculated from the 12% prevalence rate of serious emotional disturbance for children and adolescents1 applied to population of 15–17-year-olds and 6.5% prevalence rate of serious mental illness2 applied to the population of 18–25-year-olds from in the 2016 U.S. Census population estimate.3
References
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.
U.S. Government Accountability Office. Young adults with serious mental illness. Washington, DC: U.S. Government Accountability Office, 2008.
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.
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.
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.
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.
Wagner M, Newman L. Longitudinal transition outcomes of youth with emotional disturbances. Psychiatric Rehabilitation Journal. 2012; 35(3): 199–208.
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.
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.
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.
Fernandes-Alcantara AL. Runaway and homeless youth: Demographics and programs. Washington, DC: Congressional Research Service; 2013.
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.
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.
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.
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.
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.
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.
Davis M, Koroloff N, Johnsen M. Social network analysis of child and adult interorganizational connections. Psychiatric Rehabilitation Journal. 2012; 35(3): 265–272.
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.
Cox K, Baker D, Wong MA. Wraparound retrospective: Facotrs predicting positive outcomes. Journal of Emotional and Behavioral Disorders. 2010; 18(1): 3–13.
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.
Swanson SJ, Courtney CT, Meyer RH, et al. Strategies for integrated employment and mental health services. Psychiatric Rehabilitation Journal. 2014; 37(2): 86–89.
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.
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.
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.
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.
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.
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.
Majchrzak A, Wang Q. Breaking the functional mind-set in process organizations. Harvard Business Review. 1996; 5:93–99.
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.
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.
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.
Vangen S, Huxham C. Nurturing collaborative relations: Building trust in interorganizational collaboration. The Journal of Applied Behavioral Science. 2003; 39(1): 5–31.
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.
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.
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.
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.
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.
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.
Van de Ven AH, Ferry DL. Measuring and assessing organizations. New York: Wiley. 1980.
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.
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.
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.
Kossinets G. Effects of missing data in social networks. Social Networks. 2006; 28(3): 247–268.
Borgatti SP. On the robustness of centrality measures under conditions of imperfect data. Social Networks. 2006; 28(2): 124–136.
Costenbader E, Valente TW. The stability of centrality measures when networks are sampled. Social Networks. 2003; 25(4): 283–307.
Borgatti SP, Everett MG, Freeman LC. Ucinet 6 for Windows: Software for Social Network Analysis. Harvard, MA: Analytic Technologies; 2002.
McPherson M, Smith-Lovin L, Cook JM. Birds of a feather: Homophily in social networks. Annual Review Of Sociology. 2001 27: 415–444.
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.
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Davis, M., Koroloff, N., Sabella, K. et al. Crossing the Age Divide: Cross-Age Collaboration Between Programs Serving Transition-Age Youth. J Behav Health Serv Res 45, 356–369 (2018). https://doi.org/10.1007/s11414-018-9588-9
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DOI: https://doi.org/10.1007/s11414-018-9588-9