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New technologies in the management of risk and violence in forensic settings

Published online by Cambridge University Press:  30 April 2015

John Tully ,
Fintan Larkin  and
Thomas Fahy
John Tully*
Affiliation:
Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
Fintan Larkin
Affiliation:
Personality Disorder Service, Broadmoor Hospital, Berkshire, UK
Thomas Fahy
Affiliation:
Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
*
*Address for correspondence: John Tully, Institute of Psychiatry—Forensic and Neurodevelopmental Sciences, Room E1.23 1st Floor Institute of Psychiatry, De Crespigny Park, London SE58AF, UK. (Email: john.tully@kcl.ac.uk)
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Abstract

Novel technological interventions are increasingly used in mental health settings. In this article, we describe 3 novel technological strategies in use for management of risk and violence in 2 forensic psychiatry settings in the United Kingdom: electronic monitoring by GPS-based tracking devices of patients on leave from a medium secure service in London, and closed circuit television (CCTV) monitoring and motion sensor technology at Broadmoor high secure hospital. A common theme is the use of these technologies to improve the completeness and accuracy of data used by clinicians to make clinical decisions. Another common thread is that each of these strategies supports and improves current clinical approaches rather than drastically changing them. The technologies offer a broad range of benefits. These include less restrictive options for patients, improved accountability of both staff and patients, less invasive testing, improved automated record-keeping, and better assurance reporting. Services utilizing technologies need also be aware of limitations. Technologies may be seen as unduly restrictive by patients and advocates, and technical issues may reduce effectiveness. It is vital that the types of technological innovations described in this article should be subject to thorough evaluation that addresses cost effectiveness, qualitative analysis of patients’ attitudes, safety, and ethical considerations.

Keywords

CCTVelectronic monitoring forensic psychiatryhigh securitymedium securitymotion sensor technology
Type
Review Articles
Information
CNS Spectrums , Volume 20 , Special Issue 3: Violence in the Psychiatric Setting , June 2015 , pp. 287 - 294
Copyright
© Cambridge University Press 2015 

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References

1. Bopp, JM, Miklowitz, DJ, Goodwin, GM, Stevens, W, Rendell, JM, Geddes, JR. The longitudinal course of bipolar disorder as revealed through weekly text messaging: a feasibility study. Bipolar Disord. 2010; 12(3): 327–334.CrossRefGoogle ScholarPubMed
2. Berrouiguet, S, Gravey, M, Le Galudec, M, Alavi, Z, Walter, M. Post-acute crisis text messaging outreach for suicide prevention: a pilot study. Psychiatry Research. 2014; 217(3): 154–157.CrossRefGoogle ScholarPubMed
3. Luxton, DD, McCann, RA, Bush, NE, Mishkind, MC, Reger, GM. mHealth for mental health: integrating smartphone technology in behavioral healthcare. Professional Psychology: Research and Practice. 2011; 42(6): 505–512.Google Scholar
4. Newnham, EA, Doyle, EL, Sng, AA, Hooke, GR, Page, AC. Improving clinical outcomes in psychiatric care with touch-screen technology. Psychol Serv. 2012; 9(2): 221–223.Google Scholar
5. Mars, M. Guest Editorial: telepsychiatry in Africa—a way forward? African Journal of Psychiatry . 2012; 15(4): 215–217.Google Scholar
6. Shore, JH. Telepsychiatry: videoconferencing in the delivery of psychiatric care. Am J Psychiatry. 2013; 170(3): 256–262.CrossRefGoogle ScholarPubMed
7. Miller, TW, Burton, DC, Hill, K, Luftman, G, Veltkemp, LJ, Swope, M. Telepsychiatry: critical dimensions for forensic services. J Am Acad Psychiatry Law. 2005; 33(4): 539–546.Google Scholar
8. Valdagno, M, Goracci, A, di Volo, S, Fagiolini, A. Telepsychiatry: new perspectives and open issues. CNS Spectr. 2014; 19(6): 479–481.Google Scholar
9. Durcan, G. Pathways to Unlocking Secure Mental Health Care. Centre for Mental Health; 2011. http://www.centreformentalhealth.org.uk/pdfs/Pathways_to_unlocking_secure_mental_health_care.pdf.Google Scholar
10. Button, DM, DeMichele, M, Payne, BK. Using electronic monitoring to supervise sex offenders: legislative patterns and implications for community corrections officers. Criminal Justice Policy Review. 2009; 20(4): 414–436.Google Scholar
11. Geoghegan, R. Future of Corrections: Exploring the Use of Electronic Monitoring. Policy Exchange; 2012. http://www.policyexchange.org.uk/publications/category/item/future-of-corrections-exploring-the-use-of-electronic-monitoring.Google Scholar
12. Bales, B, Mann, K, Blomberg, T, et al. A Quantitative and Qualitative Assessment of Electronic Monitoring. Florida State University, College of Criminology and Criminal Justice, Center for Criminology and Public Policy Research; 2010. https://www.ncjrs.gov/pdffiles1/nij/grants/230530.pdf.Google Scholar
13. Travis, A, Hill, A. Half of all tagged offenders break curfew rules, says report. The Guardian . June 14, 2012. http://www.theguardian.com/uk/2012/jun/14/half-tagged-offenders-break-curfew-rules.Google Scholar
14. Payne, BK, DeMichele, M. Sex offender policies: considering unanticipated consequences of GPS sex offender monitoring. Aggression and Violent Behavior. 2011; 16(3): 177–187.CrossRefGoogle Scholar
15. Litten, RZ, Bradley, AM, Moss, HB. Alcohol biomarkers in applied settings: recent advances and future research opportunities. Alcohol Clin Exp Res. 2010; 34(6): 955–967.Google Scholar
16. Barton, B. Secure Continuous Remote Alcohol Monitoring (SCRAM) Technology Evaluability Assessment. Washington, DC: U.S. Department of Justice; 2009.Google Scholar
17. Fox, A, Lockhart, G.. From the Ground Up: Promising Criminal Justice Projects in the US and the UK. London: Policy Exchange; 2011. http://www.policyexchange.org.uk/publications/category/item/from-the-ground-up-promising-criminal-justice-projects-in-the-us-and-the-uk.Google Scholar
18. Dougherty, DM, Charles, NE, Acheson, A, John, S, Furr, RM, Hill-Kapturczak, N. Comparing the detection of transdermal and breath alcohol concentrations during periods of alcohol consumption ranging from moderate drinking to binge drinking. Exp Clin Psychopharmacol. 2012; 20(5): 373–381.Google Scholar
19. Leffingwell, TR, Cooney, NJ, Murphy, JG, et al. Continuous objective monitoring of alcohol use: twenty‐first century measurement using transdermal sensors. Alcohol Clin Exp Res. 2013; 37(1): 16–22.CrossRefGoogle ScholarPubMed
20. Dougherty, DM, Hill-Kapturczak, N, Liang, Y, et al. Use of continuous transdermal alcohol monitoring during a contingency management procedure to reduce excessive alcohol use. Drug Alcohol Depend. 2014; 142: 301–306.Google Scholar
21. Button, DM, Tewksbury, R, Mustaine, EE, Payne, BK. Factors contributing to perceptions about policies regarding the electronic monitoring of sex offenders: the role of demographic characteristics, victimization experiences, and social disorganization. Int J Offender Ther Comp Criminol. 2013; 57(1): 25–54.Google Scholar
22. Fohall, E, St. John, P. Sex offender had GPS bracelet removed and went unmonitored. LA Times. December 15, 2014.Google Scholar
23. Stewart, D, Bowers, L. Absconding and locking ward doors: evidence from the literature. J Psychiatr Ment Health Nurs. 2011; 18(1): 89–93.CrossRefGoogle ScholarPubMed
24. France, A. Escaped lag killed OAP for drug cash. The Sun. June, 16 2009.Google Scholar
25. Tully, J, Hearn, D, Fahy, T. Authors’ reply. Br J Psychiatry. 2014; 205(2): 500–501.Google Scholar
26. Tully, J, Hearn, D, Fahy, T. Can electronic monitoring (GPS ‘tracking’) enhance risk management in psychiatry? Br J Psychiatry. 2014; 205(2): 83–85.CrossRefGoogle ScholarPubMed
27. Konow, J. Coercion and consent. Journal of Institutional and Theoretical Economics JITE. 2014; 170(1): 49–74.Google Scholar
28. Desai, S. Violence and surveillance: some unintended consequences of CCTV monitoring within mental health hospital wards. Surveillance & Society. 2010; 8(1): 84–92.CrossRefGoogle Scholar
29. Gill, M, Spriggs, A. Assessing the Impact of CCTV Home Office Research Study 292 London: Home Office Press; 2005.Google Scholar
30. Parish, C. Winterbourne View hospital: the government’s definitive response: Colin Parish summarises the Department of Health’s final report on the neglect and abuse of patients with learning disabilities in a long-stay hospital. Learning Disability Practice. 2013; 16(1): 32–35.Google Scholar
31. Warr, J, Page, M, Crossen-White, H. The Appropriate Use of CCTV Observation in a Secure Unit. Bournemouth University; 2005. http://eprints.bournemouth.ac.uk/11684/.Google Scholar
32. Desai, S. The new stars of CCTV: what is the purpose of monitoring patients in communal areas of psychiatric hospital wards, bedrooms and seclusion rooms? Diversity in Health and Care. 2009; 6(1): 45–53.Google Scholar
33. Mental Health Commission. Department of Psychiatry, Connolly Hospital approved centre inspection report, 12 February 2013. Dublin: MHC; 2014. http://lenus.ie/hse/handle/10147/315270?locale=ga&language=ga.Google Scholar
34. Hermann, P, Weiner, R. Issues over police shooting in Ferguson lead push for officers and body cameras. Washington Post. December 2, 2014. http://www.washingtonpost.com/local/crime/issues-over-police-shooting-in-ferguson-lead-push-for-officers-and-body-cameras/2014/12/02/dedcb2d8-7a58-11e4-84d4-7c896b90abdc_story.html.Google Scholar
35. Jovanov, E, Milenkovic, A, Otto, C, De Groen, PC. A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation. Journal of NeuroEngineering and Rehabilitation. 2005; 2(1): 6.CrossRefGoogle ScholarPubMed
36. Lubecke, OB, Ong, PW, Lubecke, VM. 10 GHz Doppler radar sensing of respiration and heart movement. In: Bioengineering Conference, 2002: Proceedings of the IEEE 28th Annual Northeast. IEEE; 2002; 55–56. http://ieeexplore.ieee.org/xpl/login.jsp? tp=&arnumber=999462&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D999462.Google Scholar
37. Demiris, G, Oliver, DP, Dickey, G, Skubic, M, Rantz, M. Findings from a participatory evaluation of a smart home application for older adults. Technol Health Care. 2008; 16(2): 111–118.CrossRefGoogle Scholar
38. Pollack, ME. Intelligent technology for an aging population: the use of AI to assist elders with cognitive impairment. AI Magazine. 2005; 26(2): 9.Google Scholar
39. Helal, A, Cook, DJ, Schmalz, M. Smart home-based health platform for behavioral monitoring and alteration of diabetes patients. J Diabetes Sci Technol. 2009; 3(1): 141–148.Google Scholar
40. Blum, J, Magill, E. M-psychiatry: sensor networks for psychiatric health monitoring. In Proceedings of the 9th Annual Postgraduate Symposium on the Convergence of Telecommunications, Networking and Broadcasting (PGNET 2008) . 2008: 33–37. https://scholar.google.co.uk/scholar?q=M-psychiatry:+sensor+networks+for+psychiatric+health+monitoring.&hl=en&as_sdt=0&as_vis=1&oi=scholart&sa=X&ei=Xi81Vei3NIO1OqfagOAD&ved=0CCQQgQMwAA.Google Scholar
41. Tarassenko, L, Villarroel, M, Guazzi, A, Jorge, J, Clifton, DA, Pugh, C. Non-contact video-based vital sign monitoring using ambient light and auto-regressive models. Physiol Meas. 2014; 35(5): 807–831.Google Scholar
42. Villarroel, M, Guazzi, A, Jorge, J, et al. Continuous non-contact vital sign monitoring in neonatal intensive care unit. Healthcare Technology Letters. 2014; 1(3): 87–91.Google Scholar