Showing posts with label criminal justice system. Show all posts
Showing posts with label criminal justice system. Show all posts
Tuesday, May 31, 2016
Wednesday, May 11, 2016
Criminality and Sexual Behaviours in Substance Dependents Seeking Treatment
The aim of this study was to
investigate the link between violence, crime, and sexual behavior among patients
with substance-related disorder admitted to a specialized inpatient care unit.
This was a cross-sectional study using a questionnaire on socio-demographic
characteristics, drug of choice (DOC), questions about sexual behavior, and
instruments to evaluate the severity of dependence (SADD, DAST, FTND), level of
impulsivity (BIS-11), and a screening sex addiction scale.
The sample consisted
of 587 adult subjects, of which
- 82.3% were men,
- 66.4% had used cocaine (sniffed and smoked) as their DOC,
- 24.4% had a history with the criminal justice system,
- 26.8% had committed crimes,
- 19.3% had engaged in violent behavior, and
- 12.2% had been involved in drug trafficking.
Purchase full article at: http://goo.gl/vuRtsA
By: Diehl A1, Pillon SC2, Dos Santos MA3, Rassool GH4, Laranjeira R5.
1a National Institute of Alcohol and Drugs Policy
(INPAD), Psychiatrist, Federal University of São Paulo (UNIFESP) , Psychiatric
Department , São Paulo , Brazil.
2b Professor, University of São Paulo (USP) ,
Psychiatric Nursing and Human Science Department, Faculty of Nursing at
Ribeirão Preto, Ribeirão Preto, Brazil; PAHO/WHO Collaborating Centre for
Nursing Research Development , Ribeirão Preto , Brazil.
3c Associate Professor, Faculty of Philosophy, Sciences
and Letters of Ribeirão Preto , University of São Paulo, São Paulo , Brazil.
4d Professor and Executive Director, Sakina Counselling
Institute , Port Louis , Republic of Mauritius.
5e Psychiatrist, Federal University of São Paulo
(UNIFESP) , Psychiatric Department , São Paulo , Brazil.
J
Psychoactive Drugs. 2016 Apr-Jun;48(2):124-134.
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Saturday, May 7, 2016
A Budget Impact Analysis of Newly Available Hepatitis C Therapeutics and the Financial Burden on a State Correctional System
Hepatitis C virus (HCV)
infection continues to disproportionately affect incarcerated populations. New HCV
drugs present opportunities and challenges to address HCV in corrections.
The
goal of this study was to evaluate the impact of the treatment costs for HCV
infection in a state correctional population through a budget impact analysis
comparing differing treatment strategies. Electronic and paper medical records
were reviewed to estimate the prevalence of hepatitis C within the Rhode Island
Department of Corrections.
Three treatment strategies were evaluated as
follows:
- treating all chronically infected persons,
- treating only patients with demonstrated fibrosis, and
- treating only patients with advanced fibrosis.
Budget impact was computed as the percentage of pharmacy and
overall healthcare expenditures accrued by total drug costs assuming entirely
interferon-free therapy. Sensitivity analyses assessed potential variance in
costs related to variability in HCV prevalence, genotype, estimated variation
in market pricing, length of stay for the sentenced population, and uptake of
newly available regimens.
Chronic HCV prevalence was estimated at 17% of the
total population. Treating all sentenced inmates with at least 6 months
remaining of their sentence would cost about $34 million-13 times the pharmacy
budget and almost twice the overall healthcare budget. Treating inmates with
advanced fibrosis would cost about $15 million. A hypothetical 50% reduction in
total drug costs for future therapies could cost $17 million to treat all
eligible inmates.
With immense costs projected with new treatment, it is
unlikely that correctional facilities will have the capacity to treat all those
afflicted with HCV. Alternative payment strategies in collaboration with
outside programs may be necessary to curb this epidemic. In order to improve
care and treatment delivery, drug costs also need to be seriously reevaluated
to be more accessible and equitable now that HCV is more curable.
Purchase full article at: http://goo.gl/zB8WTD
By: Nguyen JT1, Rich JD, Brockmann BW, Vohr F, Spaulding A, Montague BT.
- 1Brown University School of Public Health, Providence, RI, USA.
- J Urban Health. 2015 Aug;92(4):635-49. doi: 10.1007/s11524-015-9953-4.
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Sunday, April 24, 2016
The Role of Social Capital in African Americans' Attempts to Reduce and Quit Cocaine Use
BACKGROUND:
OBJECTIVES:
METHODS:
RESULTS:
CONCLUSIONS:
Purchase full article at: http://goo.gl/tu8pcE
By: Cheney AM1, Booth BM2, Borders TF3, Curran GM4.
1 Center for Healthy Communities , University of
California Riverside , Riverside , California , USA.
2 Division of Health Services Research , University of
Arkansas for Medical Sciences , Little Rock , Arkansas , USA.
3 Department of Health Management and Policy ,
University of Kentucky , Lexington , Kentucky , USA.
4 Department of Pharmacy Practice , University of
Arkansas for Medical Sciences , Little Rock , Arkansas , USA.
Subst Use Misuse. 2016 Apr 20:1-11.
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Tuesday, April 19, 2016
Prompted to Treatment by the Criminal Justice System: Relationships with Treatment Retention & Outcome among Cocaine Users
BACKGROUND AND OBJECTIVES:
METHODS:
RESULTS:
DISCUSSION AND CONCLUSIONS:
SCIENTIFIC SIGNIFICANCE:
Within treatment outcomes according to criminal justice prompt
| Prompted by Criminal Justice System (CJP) N = 67 | Not Prompted by Criminal Justice System (non-CJP) N = 367 | Total N = 434 | ||
|---|---|---|---|---|
| Mean (SD) | Mean (SD) | Mean (SD) | X2 or F | |
| Days retained in treatment protocol | 55.4 (29.3) | 53.4 (33.1) | 53.7 (32.5) | 0.22 |
| Completed treatment period, n (%) | 36 (53.7) | 186 (51.0) | 222 (51.4) | 0.68 |
| Percentage of cocaine positive urine specimens | 55 (37) | 62 (37) | 61 (37) | 1.43 |
| Percentage of days abstinent from cocaine | 83 (19) | 74 (26) | 76 (25) | 6.27* |
| Maximum consecutive days abstinent | 24 (20.6) | 22.3 (24.9) | 22.6 (24.2) | 0.25 |
| Maximum days of continuous abstinence during last two weeks of treatment | 10 (4.0) | 8.3 (4.7) | 8.6 (4.6) | 4.65* |
| 3+ weeks of continuous abstinence, n (%) | 31 (46.3) | 149 (40.8) | 180 (41.7) | 0.69 |
| ‘Good Functioning’ = zero cocaine use, employment, or psychological problems last 28 days of treatment, n (%)a | 4 (7.5) | 48 (14.5) | 52 (13.5) | 1.89 |
*p<.05
**p<.01
***p<.001
asample size reduced due to missing data
Full article at: http://goo.gl/DiHFbZ
By: Kiluk BD1, Serafini K, Malin-Mayor B, Babuscio TA, Nich C, Carroll KM.
- 1Yale University School of Medicine, New Haven, Connecticut.
- Am J Addict. 2015 Apr;24(3):225-32. doi: 10.1111/ajad.12208. Epub 2015 Mar 24.
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Sunday, April 17, 2016
Retrospective cohort study of cancer incidence and mortality by HIV status in a Georgia, USA, prisoner cohort during the HAART era
OBJECTIVE:
DESIGN:
PARTICIPANTS:
OUTCOME MEASURES:
RESULTS:
CONCLUSIONS:
Full article at: http://goo.gl/bU7ddc
By: Zlotorzynska M1, Spaulding AC1, Messina LC1, Coker D1, Ward K1, Easley K1, Baillargeon J2, Mink PJ3, Simard EP1.
- 1Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
- 2University of Texas Medical Branch, Galveston, Texas, USA.
- 3Rollins School of Public Health, Emory University, Atlanta, Georgia, USA Division of Applied Research, Allina Health, Minneapolis, Minnesota, USA.
- BMJ Open. 2016 Apr 11;6(4):e009778. doi: 10.1136/bmjopen-2015-009778.
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Saturday, April 9, 2016
"Nowhere Line" - Voices from Manus Island, Where Australia Deports Asylum Seekers - Video
A Longitudinal Study of Mental Health Symptoms in Young Prisoners: Exploring the Influence Of Personal Factors & the Correctional Climate
BACKGROUND:
METHODS:
RESULTS:
CONCLUSIONS:
Level and Changes in Mental Health Symptoms over Time in Prison
| Month 1 (n = 70) | Month 3 (n = 58) | Month 6 (n = 49) | ||
|---|---|---|---|---|
| BSI Subscale | Mean (SD) | Mean (SD) | Mean (SD) | Mean difference/Contrast |
| Somatizationa | 0.76 (0.82) | 0.75 (0.74) | 0.62 (0.70) | χ 2 = 6.70* |
| M6 vs. M3* | ||||
| Obsessive-compulsive | 1.21 (0.70) | 1.26 (0.81) | 1.06 (0.78) | χ 2 = 6.97* |
| M6 vs. M3* | ||||
| Interpersonal sensitivitya | 1.04 (0.83) | 1.09 (0.77) | 0.97 (0.86) | ns |
| Depression | 1.28 (0.78) | 1.26 (0.86) | 1.12 (0.83) | ns |
| Anxietya | 0.93 (0.79) | 0.86 (0.72) | 0.77 (0.71) | ns |
| Hostilitya | 0.96 (0.69) | 0.99 (0.89) | 0.93 (0.74) | ns |
| Phobic anxietya | 0.68 (0.67) | 0.63 (0.67) | 0.52 (0.65) | χ 2 = 5.88† |
| M6 vs. M1† | ||||
| Paranoid ideationa | 1.25 (0.69) | 1.34 (0.88) | 1.31 (0.85) | ns |
| Psychoticisma | 1.09 (0.78) | 1.10 (0.77) | 1.07 (0.89) | ns |
| GSIa | 1.04 (0.63) | 1.03 (0.65) | 0.93 (0.65) | χ 2 = 5.87† |
| M6 vs. M3† |
Note. SD Standard deviation, M1 Month 1, M3 Month 3, M6 Month 6, ns not significant, BSI Brief Symptom Inventory, GSI Global Severity Index
a Distribution normalized through square root transformation. Descriptive statistics are based on the original data. Mean differences analyses are based on the transformed variables
† p < .10, * p < .05, two-tailed
Full article at: http://goo.gl/FbBGHB
By: Gonçalves LC1, Endrass J2,3, Rossegger A1,4, Dirkzwager AJ5.
- 1Department of Mental Health Services, Office of Corrections, Canton of Zurich, Hohlstrasse 552, P.O. Box 8090, Zurich, Switzerland.
- 2Department of Mental Health Services, Office of Corrections, Canton of Zurich, Hohlstrasse 552, P.O. Box 8090, Zurich, Switzerland. Jerome.Endrass@uni-konstanz.de.
- 3Department of Psychology, University of Konstanz, Universitätsstrasse 10, 78464, Konstanz, Germany. Jerome.Endrass@uni-konstanz.de.
- 4Department of Psychology, University of Konstanz, Universitätsstrasse 10, 78464, Konstanz, Germany.
- 5Netherlands Institute for the Study of Crime and Law Enforcement, 71304, 1008 BH, Amsterdam, Netherlands.
- BMC Psychiatry. 2016 Apr 6;16(1):91. doi: 10.1186/s12888-016-0803-z.
More at: https://twitter.com/hiv insight
Wednesday, April 6, 2016
Extended-Release Naltrexone to Prevent Opioid Relapse in Criminal Justice Offenders
BACKGROUND:
METHODS:
RESULTS:
CONCLUSIONS:
In this trial involving criminal justice offenders,
extended-release naltrexone was associated with a rate of opioid relapse that
was lower than that with usual treatment. Opioid-use prevention effects waned
after treatment discontinuation.
Purchase full article at: http://goo.gl/GxwJ8D
By: Lee JD1, Friedmann PD1, Kinlock TW1, Nunes EV1, Boney TY1, Hoskinson RA Jr1, Wilson D1, McDonald R1, Rotrosen J1, Gourevitch MN1, Gordon M1,Fishman M1, Chen DT1, Bonnie RJ1, Cornish JW1, Murphy SM1, O'Brien CP1.
- 1From the Departments of Population Health (J.D.L., R.M., M.N.G.), Medicine, Division of General Internal Medicine and Clinical Innovation (J.D.L.), and Psychiatry (J.R.), New York University, and the New York State Psychiatric Institute, Columbia University College of Physicians and Surgeons (E.V.N.) - both in New York; the Division of General Internal Medicine, the Department of Medicine, Rhode Island Hospital and Alpert Medical School of Brown University, Providence (P.D.F., R.A.H., D.W.); Friends Research Institute (T.W.K., M.G., M.F.), the University of Baltimore, School of Criminal Justice (T.W.K.), and Maryland Treatment Centers (M.F.) - all in Baltimore; the University of Pennsylvania (T.Y.B., J.W.C., C.P.O.) and the Philadelphia Veterans Affairs Medical Center (J.W.C.) - both in Philadelphia; the Center for Biomedical Ethics and Humanities, School of Medicine (D.T.C.) and the School of Law (R.J.B.), University of Virginia, Charlottesville; and Washington State University, Spokane (S.M.M.).
- N Engl J Med. 2016 Mar 31;374(13):1232-42. doi: 10.1056/NEJMoa1505409.
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Social Support Quality & Availability Affects Risk Behaviors in Offenders
Background
People involved in the
justice system are at 2.5 times the risk of HIV infection compared to the
general population, which is further complicated by substance abuse. The
purpose of this study was to evaluate the role of social network quality and quantity on unprotected sex, criminal risk, and
substance use.
Methods
We used data from 330
drug-involved offenders. Structural equation modeling (SEM) was used to model
and test path directionality and magnitude between the latent constructs of
social support quality and quantity on risky behaviors.
Results
The SEM indicated the
latent construct of social support quality was significantly associated with
reduced sexual risk behavior (β = −0.27), criminal risk (β = −0.26), and
reduced substance use (β = −0.33). Additionally, the proposed model found that
social support quantity was significantly positively associated with increased
sexual risk behavior (β = 0.40) and substance use (β = 0.20).
Conclusions
Social support quality
is an important predictor of risky behaviors; as the quality of an offender’s
social support increases, engagement in risky behaviors decreases. Probationers
who had broader social support availability also had increased substance use
and unprotected sex. Probation systems may be able to reduce substance use and
STD/HIV infection risk in offenders by strengthening the quality of social
support networks.
Below: Structural Model of Social Support Quality and Quantity on Risk Taking Behaviors
Full article at: http://goo.gl/VmUAv0
University of
North Texas Health Science Center, Fort Worth, USA
George Mason University,
Fairfax, VA USA
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