Efficiency of diagnostic model to predict recurrent suicidal incidents in diverse world communities

DOI: 10.4236/jbise.2009.27074   PDF   HTML     4,491 Downloads   8,280 Views   Citations


Suicidal attempts have a very significant effect on the society, and they also reflect on the efforts of the supporting health care and counseling facilities; and the mental health professionals involved. The impact of suicide is further magnified by the needs of persons who attempt suicide multiple times, requiring emergency health care and rehabilitation. Preventing such activities becomes a major task for the support providing agencies as soon as patient with such tendencies are identified. There are repetitive traits that can be observed during the entire therapeutic program among the high-risk group individuals, who are susceptible to this kind of activity and such traits indicate for specific profiling. The aim of the instrument is to prevent the occurrence of the repetitive suicidal attempts of the patients in various world regions, which may have significantly higher and concerning suicide rates. This profile has been constructed on the various parameters recognized in the statistical analysis of the patient population, which have been identified or can be under treat-ment for their suicidal behavior. This instrument is developed to predict the probability of population segments who may attempt suicide and repetitively, by matching the parameters of the profile with that of the patient pool. Building a profile for the purpose of predicting behavior of this kind can strengthen the intervention strategies more comprehensively and reduce such incidents and health care requirements and expenses.

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Vatsalya, V. , Chandras, K. , Srivastava, S. and Karch, R. (2009) Efficiency of diagnostic model to predict recurrent suicidal incidents in diverse world communities. Journal of Biomedical Science and Engineering, 2, 516-520. doi: 10.4236/jbise.2009.27074.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] World Report on Violence and Health: Self-Directed Violence (1999). Geneva, Wold Health Organization (document WHO/ HSC/PVI/99.11).
[2] Injury and Violence Prevention Program. Washington State Department of Health [online], 2007, http://www. doh.wa.gov/hsqa/emstrauma/injury/data-tables.
[3] Washington State Department of Health, (2004). Suicide chap-ter, The Health of Washington State 2004 Supplement. Olym-pia, WA, http://www.doh.wa.gov/HWS/HWS 2004supp.htm.
[4] American Journal of Psychiatry [online], 2006, http://ajp.psyh.iatryonline.org/cgi.
[5] Health of Washington State Report. Washington State Depart-ment of Health [online], 2007, http://www.doh.wa.gov/HWS/default.htm.
[6] Simon, G. E., Savarino, J., Operskalski, B., and Wang, P. S., (2006) Suicide risk during antidepressant treatment, Am. J. Psychiatry, 163, 41–47
[7] Center of Health Statistics (Death data). Washington State De-partment of Health [online], (2007), http://www. doh.wa.gov/ehsphl/chs-data/death/dea_VD.htm.
[8] Center of Health Statistics (Hospital data). Washington State Department of Health [online], (2007), http://www. doh.wa.gov/EHSPHL/hospdata/default.htm.
[9] Mayer-Gross, W., Slater, E., and Roth, M., (1960) Clinical Psychiatry, London, Cassell.
[10] U.S. Centers for Disease Control and Prevention, National Centers for Injury Prevention and Control. (2007). Web-based Injury Statistics Query and Reporting System (WISQARS), Retrieved January 3, 2007 from http://www. cdc.gov/ncipc/wisqars.
[11] Rotheram-Borus, M. J., Piacentini, J., Cantwell, C., Beline, T. R., and Sone, J. (2000). The 18-month impact of an emergency room intervention for adolescent female suicide attempters. Journal of Counseling and Clinical Psychology, 68(6), 1081–1093.
[12] Centers for Disease Control and Prevention (CDC). Web-based Injury Statistics Query and Reporting System (WISQARS) [Online], (2005) National Center for Injury Prevention and Control, CDC (producer), Available from http://www.cdc.gov/ncipc/wisqars/default.htm.
[13] Geographic Information Systems. Division of Information Resource Management, Washington State Department of Health [online], 2007, http://www.doh.wa.gov/gis/gisdata.htm.

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