Abstract
Substance abuse is viewed as one of the main factors (criminogenic needs) to be assessed and targeted in prison. Prison assessments of risk and needs are known to validly predict reoffending. However, there seems to be lacking research in how reliably the individual prisoner’s problems, such as substance abuse, are represented in the assessments. In this study, we compare an independent medical health study (N = 510) with in-prison assessments for the same persons to see whether some of the inmates’ substance abuse disorders were overlooked in prison. We found that sentence plans (257) were in poor agreement with the health study (Kappa 0.315); they recognized only 65 % of all diagnoses. The risk and needs assessments (178) were in closer agreement with the health study, however, alcoholism diagnoses were recognized less accurately (Kappa 0.519) and less frequently (78 %) than drug diagnoses (Kappa 0.627, 87 %). The main factors predicting an assessment of substance abuse risks in prison, analysed through logistic regression were: longer stay in prison and one or more dependence diagnoses. We conclude that, a number of potentially criminogenic dependence problems remain unrecognized since some groups of prisoners are either completely left out from the more thorough instrument, the risk-and-needs assessment, or are not assessed thoroughly enough. This puts prisoners in unequal positions, since all interventions in prison are based on assessments. The study alerts us of the selectiveness of prisoner assessments in practical settings; the unrecognition of problems of shorter sentenced prisoners and prisoners with alcohol dependence.
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Notes
A criminogenic need is defined as a factor that according to research raises the risk for recidivism, and thus should be tackled in prison in order to reduce the probability for recidivism (Andrews et al. 1990).
We excluded fine defaulters, who are serving time due to non-payment of a fine, since prison assessments are not made for this group. It is also important to notice that the relative share of both women and, especially, life-imprisoned persons is much larger in our sample than on any given day in prison; the aim of the sampling was to enable analysis of the lifers’ and women’s health as a group, since otherwise, their relative share would have become too small for making conclusions.
Alcohol dependence: F10.2X. For drugs, a summarized variable (α = 0.657) of dependence to any of the following substances was used: F11.2X Opioids, F12.2X Cannabinoids, F13.2X Sedatives, F13.2X Cocaine, F15.2X Stimulants, F16.2X Hallucinogens, F19.2X Poly drug dependence.
The keywords in Finnish and in Swedish (the other official language in Finland) were ‘päih’ ‘alkoh’ ‘humal’. ‘huum’ ‘ amfet’ ‘bentso’ ‘ rusning’ ‘ berus’ ‘rusmedel’ ‘ kannabi’ ‘rait’ ‘subute’ ‘narko’. We also looked for a number of other keywords, such as suboxone, and different slang words for drugs, such as ‘grass’ (‘ruoho’), without hits. It seems that prison officials use quite conservative language in the assessments. The prison officials’ knowledge of Swedish was sometimes limited, so some of the keywords are not proper Swedish.
Central numerically coded needs are: Housing and managing daily life, Income and financial situation, Education, Work, Social contacts and lifestyle, Alcohol/Drug problems, Attitudes, Antisocial patterns, Health problems, and others. The main codes are sometimes replaced by specifications. Concerning substance use, the specifications (used here) are: “intoxicants and other addictions,” “staying substance-free,” “to lessen harm from intoxicant abuse,” “the use of alcohol,” and “the use of drugs.”
Using only the value 2 (severe problem) for the analyses was motivated by the nature of our research assignment; we aimed at critically assessing the consistency between the clinical and actuarial measurements and we wanted to use a measurement from the prison that did not exaggerate the inconsistency. The value 1 might sometimes be given for use of substances that may not indicate use of dependence character. Value 2 indicates problematic use more clearly (see Table 1).
In practice, a lifetime sentence in Finland means a sentence of 12 years or more
All 510 study subjects were included in the logistic analyses, although not all of these prisoners had been assessed with sentence plans risk and needs assessments. This was motivated by our research assignment: to investigate what factors contribute to being assessed with problems in the entire prison population. We also ran the same analyses for only those who had received the assessments in question (not shown). The results went in the same direction as the (final) analyses that included all cases, but the effects were more modest due to the small number of observations.
Basic education is to be seen as a control variable. However, it was entered in model 3 (and not in the first model as typical for control variables). Basic education (entered in model 3) and the dependence diagnosis (entered in model 4) were both obtained from the prisoner health study and we wanted to include the variables from the prison registers first, before proceeding to explore the effects of controlling for information about the prisoner that we gained from the prisoner health study.
We also fitted the same series of nested models using linear probability models. This was done to check that the changes in the variable coefficients could indeed be attributed to the inclusion of the new variables in the nested models. Coefficient comparisons between nested logistic regression models are problematic due to the so-called scale identification issue (cf. Mood 2010). The findings (not shown) were similar. We checked for multicollinearity using variance inflation factor (VIF); no multicollinearity was found. We also checked for interactions between the independent variables in the logistic analyses: they were not significant.
This was also true for sentence plans, but since sentence plan nowadays are made for all prisoners, this result is no longer valid.
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This work was supported by the Finnish Foundation for Alcohol Studies
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Obstbaum, Y., Tyni, S., Mattila, A.K. et al. Not All Substance Dependence Problems are Recognized as Risks—Comparing a Medical Health Study with Prison Assessments. Eur J Crim Policy Res 22, 189–210 (2016). https://doi.org/10.1007/s10610-015-9275-9
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DOI: https://doi.org/10.1007/s10610-015-9275-9