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Trajectories of psychological distress after prison release: implications for mental health service need in ex-prisoners

Published online by Cambridge University Press:  09 November 2015

E. G. Thomas*
Affiliation:
Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
M. J. Spittal
Affiliation:
Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia
E. B. Heffernan
Affiliation:
School of Medicine, University of Queensland, Herston, QLD, Australia
F. S. Taxman
Affiliation:
Criminology, Law & Society, College of Humanities and Social Sciences, George Mason University, Fairfax, VI, USA
R. Alati
Affiliation:
School of Public Health and Centre of Youth Substance Abuse Research, University of Queensland, Herston, QLD, Australia
S. A. Kinner
Affiliation:
Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia School of Medicine, University of Queensland, Herston, QLD, Australia Griffith Criminology Institute and Menzies Health Institute Queensland, Griffith University, Mt Gravatt, QLD, Australia
*
*Address for correspondence: E. G. Thomas, Department of Biostatistics, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 2, 4th Floor, Boston, MA 02115, USA. (Email: emmathomas@g.harvard.edu)

Abstract

Background

Understanding individual-level changes in mental health status after prison release is crucial to providing targeted and effective mental health care to ex-prisoners. We aimed to describe trajectories of psychological distress following prison discharge and compare these trajectories with mental health service use in the community.

Method

The Kessler Psychological Distress Scale (K10) was administered to 1216 sentenced adult prisoners in Queensland, Australia, before prison release and approximately 1, 3 and 6 months after release. We used group-based trajectory modeling to identify K10 trajectories after release. Contact with community mental health services in the year following release was assessed via data linkage.

Results

We identified five trajectory groups, representing consistently low (51.1% of the cohort), consistently moderate (29.8%), high increasing (11.6%), high declining (5.5%) and consistently very high (1.9%) psychological distress. Mood disorder, anxiety disorder, history of self-harm and risky drug use were risk factors for the high increasing, very high and high declining trajectory groups. Women were over-represented in the high increasing and high declining groups, but men were at higher risk of very high psychological distress. Within the high increasing and very high groups, 25% of participants accessed community mental health services in the first year post-release, for a median of 4.4 contact hours.

Conclusions

For the majority of prisoners with high to very high psychological distress, distress persists after release. However, contact with mental health services in the community appears low. Further research is required to understand barriers to mental health service access among ex-prisoners.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2015 

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References

Alan, J, Burmas, M, Preen, D, Pfaff, J (2011). Inpatient hospital use in the first year after release from prison: a Western Australian population-based record linkage study. Australian and New Zealand Journal of Public Health 35, 264269.CrossRefGoogle ScholarPubMed
Andrews, G, Slade, T (2001). Interpreting scores on the Kessler Psychological Distress Scale (K10). Australian and New Zealand Journal of Public Health 25, 494497.Google Scholar
Andruff, H, Carraro, N, Thompson, A, Gaudreau, P, Louvet, B (2009). Latent class growth modelling: a tutorial. Tutorials in Quantitative Methods for Psychology 5, 1124.Google Scholar
Australian Bureau of Statistics (2008 a). National Health Survey: Users’ Guide – Electronic. Australian Bureau of Statistics: Canberra.Google Scholar
Australian Bureau of Statistics (2008 b). National Survey of Mental Health and Wellbeing: Summary of Results. Australian Bureau of Statistics: Canberra.Google Scholar
Australian Institute of Health and Welfare (2013). The Health of Australia's Prisoners 2012. Australian Institute of Health and Welfare: Canberra.Google Scholar
Babor, TF, Higgins-Biddle, JC, Saunders, JB, Monteiro, MG (2001). The Alcohol Use Disorders Identification Test: Guidelines for Use in Primary Care. World Health Organization: Geneva.Google Scholar
Baillargeon, J, Binswanger, IA, Penn, JV, Williams, BA, Murray, OJ (2009). Psychiatric disorders and repeat incarcerations: the revolving prison door. American Journal of Psychiatry 166, 103109.Google Scholar
Binswanger, IA, Stern, MF, Deyo, RA, Heagerty, PJ, Cheadle, A, Elmore, JG, Thomas, D, Koepsell, MD (2007). Release from prison – a high risk of death for former inmates. New England Journal of Medicine 356, 157165.CrossRefGoogle ScholarPubMed
Butler, T, Allnutt, S (2003). Mental Illness Among New South Wales Prisoners. NSW Corrections Health Service: Sydney.Google Scholar
Butler, T, Andrews, G, Allnutt, S, Sakashita, C, Smith, NE, Basson, J (2006). Mental disorders in Australian prisoners: a comparison with a community sample. Australian and New Zealand Journal of Psychiatry 40, 272276.Google Scholar
Castellano, TC, Soderstrom, IR (1997). Self-esteem, depression, and anxiety evidenced by a prison inmate sample: interrelationships and consequences for prison programming. Prison Journal 77, 259280.Google Scholar
Cutcher, Z, Degenhardt, L, Alati, R, Kinner, SA (2014). Poor health and social outcomes for ex-prisoners with a history of mental disorder: a longitudinal study. Australian and New Zealand Journal of Public Health 38, 424429.Google Scholar
David, M, Alati, R, Ware, RS, Kinner, SA (2013). Attrition in a longitudinal study with hard-to-reach participants was reduced by ongoing contact. Journal of Clinical Epidemiology 66, 575581.Google Scholar
Draine, J, Herman, DB (2007). Critical time intervention for reentry from prison for persons with mental illness. Psychiatric Services 58, 15771581.Google Scholar
Edens, JF, Peters, RH, Hills, HA (1997). Treating prison inmates with co-occurring disorders: an integrative review of existing programs. Behavioral Sciences and the Law 15, 439457.Google Scholar
Fazel, S, Seewald, K (2012). Severe mental illness in 33 588 prisoners worldwide: systematic review and meta-regression analysis. British Journal of Psychiatry 200, 364373.Google Scholar
Ferrante, A, Boyd, J (2010). Data Linkage Software Evaluation: A First Report (Part 1). Public Health Research Network Centre for Data Linkage, Curtin University: Perth, Western Australia.Google Scholar
Frank, JW, Andrews, CM, Green, TC, Samuels, AM, Trinh, TT, Friedmann, PD (2013). Emergency department utilization among recently released prisoners: a retrospective cohort study. BMC Emergency Medicine 13, 16.Google Scholar
Furukawa, TA, Kessler, RC, Slade, T, Andrews, G (2003). The performance of the K6 and K10 screening scales for psychological distress in the Australian National Survey of Mental Health and Well-Being. Psychological Medicine 33, 357362.Google Scholar
Hammett, TM, Roberts, C, Kennedy, S (2001). Health-related issues in prisoner reentry. Crime and Delinquency 47, 390409.Google Scholar
Humeniuk, R, Henry-Edwards, S, Ali, R, Poznyka, V, Moneiro, M (2010). The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST): Manual for Use in Primary Care. World Health Organization: Geneva.Google Scholar
Jacoby, JE, Kozie-Peak, B (1997). The benefits of social support for mentally ill prisoners: prison-to-community transitions. Behavioural Sciences and the Law 15, 483501.Google Scholar
Jones, BL, Nagin, DS (2013). A note on a Stata plugin for estimating group-based trajectory models. Sociological Methods and Research 42, 608613.Google Scholar
Kariminia, A, Law, MG, Butler, TG, Corben, SP, Levy, MH, Kaldor, JM, Grant, L (2007). Factors associated with mortality in a cohort of Australian prisoners. European Journal of Epidemiology 22, 417428.Google Scholar
Kessler, RC, Andrews, G, Colpe, LJ, Hiripi, E, Mroczek, DK, Normand, S-L, Walters, EE, Zaslavsky, AM (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine 32, 959976.Google Scholar
Kinner, SA (2006). Continuity of health impairment and substance misuse among adult prisoners in Queensland, Australia. International Journal of Prisoner Health 2, 101113.Google Scholar
Kinner, SA, Lennox, N, Williams, GM, Carroll, M, Quinn, B, Boyle, FM, Alati, R (2013). Randomised controlled trial of a service brokerage intervention for ex-prisoners in Australia. Contemporary Clinical Trials 36, 198206.Google Scholar
Kinner, SA, van Dooren, K, Boyle, FM, Longo, M, Lennox, N (2014). Development of an intervention to increase health service utilisation in ex-prisoners. Health and Justice 2, 4.Google Scholar
Larney, S, Burns, L (2011). Evaluating health outcomes of criminal justice populations using record linkage: the importance of aliases. Evaluation Review 35, 118128.Google Scholar
Lovell, D, Gagliardi, GJ, Peterson, PD (2002). Recidivism and use of services among persons with mental illness after release from prison. Psychiatric Services 53, 12901296.Google Scholar
Mears, DP, Cochran, JC (2012). U.S. prisoner reentry health care policy in international perspective: service gaps and the moral and public health implications. Prison Journal 92, 175202.Google Scholar
Morrissey, JP, Steadman, HJ, Dalton, KM, Cuellar, A, Stiles, P, Cuddeback, GS (2006). Medicaid enrollment and mental health service use following release of jail detainees with severe mental illness. Psychiatric Services 57, 809815.Google Scholar
Nagin, D (2009). Group-Based Modeling of Development. Harvard University Press: Cambridge, MA.Google Scholar
Nagin, DS, Odgers, CL (2010). Group-based trajectory modeling in clinical research. Annual Review of Clinical Psychology 6, 109138.Google Scholar
Naser, RL, La Vigne, NG (2006). Family support in the prisoner reentry process: expectations and realities. Journal of Offender Rehabilitation 43, 93106.Google Scholar
Shinkfield, AJ, Graffam, J (2009). Community reintegration of ex-prisoners: type and degree of change in variables influencing successful reintegration. International Journal of Offender Therapy and Comparative Criminology 53, 2942.Google Scholar
Shinkfield, AJ, Graffam, J (2010). The relationship between emotional state and success in community reintegration for ex-prisoners. International Journal of Offender Therapy and Comparative Criminology 54, 346360.Google Scholar
Slade, T, Grove, R, Burgess, P (2011). Kessler Psychological Distress Scale: normative data from the 2007 Australian National Survey of Mental Health and Wellbeing. Australian and New Zealand Journal of Psychiatry 45, 308316.Google Scholar
Social Exclusion Unit (2002). Reducing Re-Offending by Ex-Prisoners. Social Exclusion Unit, Office of the Deputy Prime Minister: London.Google Scholar
Spittal, MJ, Forsyth, S, Pirkis, J, Alati, R, Kinner, SA (2014). Suicide in adults released from prison in Queensland, Australia: a cohort study. Journal of Epidemiology and Community Health 68, 993998.Google Scholar
Visher, CA, Courtney, SME (2007). One Year Out: Experiences of Prisoners Returning to Cleveland. Urban Institute Justice Policy Center: Washington, DC.Google Scholar
Webb, RT, Qin, P, Stevens, H, Mortensen, PB, Appleby, L, Shaw, J (2011). National study of suicide in all people with a criminal justice history. Archives of General Psychiatry 68, 591599.CrossRefGoogle ScholarPubMed
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