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Observational Study
. 2019 Jul;4(7):e334-e342.
doi: 10.1016/S2468-2667(19)30060-X. Epub 2019 Jun 11.

The effect of entry and retention in opioid agonist treatment on contact with the criminal justice system among opioid-dependent people: a retrospective cohort study

Affiliations
Observational Study

The effect of entry and retention in opioid agonist treatment on contact with the criminal justice system among opioid-dependent people: a retrospective cohort study

Natasa Gisev et al. Lancet Public Health. 2019 Jul.

Abstract

Background: Evidence on the effectiveness of opioid agonist treatment (OAT) in reducing crime is mixed. We aimed to assess the effect of OAT on crime in terms of delaying time to first charge and reducing overall charge rates, as well as the relationship between OAT retention and overall charge rates.

Methods: We did a retrospective cohort study of opioid-dependent people who entered OAT for the first time between Jan 1, 2004, and Dec 30, 2010, in New South Wales (NSW), Australia. We used three linked NSW and national administrative datasets. Data on OAT were obtained from the Pharmaceutical Drugs of Addiction System, data on charges were obtained from the Reoffending Database, and data on mortality were obtained from the National Death Index. The cohort was followed up until Dec 31, 2011. Time-dependent OAT exposure was modelled using Cox proportional hazards models (time to first charge) and Andersen-Gill intensity models (total charge-days). Retention in OAT was modelled using two features of treatment engagement, number of OAT episodes and proportion of follow-up time in OAT (presented in quartile groupings: lowest, low-mid, low-high, highest) using zero-inflated negative binomial regression (total charges). All models were adjusted for sociodemographic, criminographic, and treatment-related variables.

Findings: 10 744 new OAT entrants were included in the study. 5751 (53·5%) people were charged with an offence. In adjusted analyses, OAT was associated with an initial benefit in delaying the time to first charge (hazard ratio 0·43, 95% CI 0·33-0·55) and reducing total charge-days (0·39, 95% CI 0·30-0·52); however, these protective effects reduced over time. Total charge rates were higher as the number of OAT episodes increased (incident rate ratio [IRR] 1·13, 95% CI 1·11-1·15), and when relatively lower proportions of time were spent in OAT (IRR among the lowest three quartiles ranged from 1·11 [95% CI 1·02-1·21] to 1·22 [95% CI 1·12-1·33]).

Interpretation: OAT was associated with a reduction in overall charge rates and was more protective as treatment engagement increased. Maximising treatment retention is crucial to achieving long-term health and social benefits of OAT.

Funding: Australian National Health and Medical Research Council, Australian Institute of Criminology, National Institute on Drug Abuse, Australian Government Department of Health, UNSW Sydney.

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Figures

Figure 1
Figure 1. Simple 30-day moving average daily charge rate for individuals in and out of OAT
For any given day, the daily charge rate was calculated as the number of charges divided by the number of people in or out of OAT (multiplied by 100). Simple 30-day moving average on any given day refers to the arithmetic mean of charge rates from the past 30 days. OAT=opioid agonist treatment.
Figure 2
Figure 2. Continuous heat map of unadjusted charge rate for individuals in and out of OAT
The heat map summarises the relative intensity of charge rates by different profiles of OAT engagement, focusing on two features: number of OAT episodes and proportion of follow-up time in OAT. The relative intensity of the charge rates is displayed in colour scale ranging from green (lowest charge rates) to yellow, orange, and red (highest charge rates). Profiles of treatment engagement associated with lower charge rates are represented by areas with a greater intensity of green, and those associated with higher charge rates are represented by areas with a greater intensity of red. Thresholds used to define lowest, low-mid, high-mid, and highest groups are based on the quartile cutoffs for the proportion of follow-up time spent in OAT among people with the same number of treatment episodes (appendix p 10). OAT=opioid agonist treatment.

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References

    1. Connock M, Juarez-Garcia A, Jowett S, et al. Methadone and buprenorphine for the management of opioid dependence: a systematic review and economic evaluation. Health Technol Assess 2007; 11: 1–171. - PubMed
    1. Hser Y, Hoffman V, Grella C, Anglin M. A 33-year follow-up of narcotics addicts. Arch Gen Psychiatry 2001; 58: 503–08. - PubMed
    1. Bennett T, Holloway K, Farrington D. The statistical association between drug misuse and crime: a meta-analysis. Aggress Violent Behav 2008; 13: 107–18.
    1. Pierce M, Hayhurst K, Bird SM, et al. Quantifying crime associated with drug use among a large cohort of sanctioned offenders in England and Wales. Drug Alcohol Depend 2015; 155: 52–59. - PMC - PubMed
    1. Bukten A, Skurtveit S, Stangeland P, et al. Criminal convictions among dependent heroin users during a 3-year period prior to opioid maintenance treatment: a longitudinal national cohort study. J Subst Abuse Treat 2011; 41: 407. - PubMed

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