Baseline Trauma Symptomatology Decreases Likelihood of
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Entire sample (N = 210) |
Graduated (n = 139) |
Terminated (n = 71) |
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Characteristic | n | % or M (SD) | n | % or M (SD) | n | % or M (SD) | Significance | |
Demographics | ||||||||
Age (years) | - | 29.59 (8.95) | 30.26 (9.31) | - | 28.27 (8.11) | NS | ||
Race | NS | |||||||
Caucasian | 188 | 95.9% | 126 | 96.9% | 62 | 93.9% | ||
African-American | 3 | 1.5% | 1 | 0.8% | 2 | 3.0% | ||
Multiracial | 5 | 2.6% | 3 | 2.3% | 2 | 3.0% | ||
Ethnicity | NS | |||||||
Hispanic/Latino | 10 | 4.8% | 7 | 5.0% | 3 | 4.2% | ||
Education (years) | - | 12.82 (2.21) | - | 12.69 (2.01) | - | 13.07 (2.55) | NS | |
Housing status | NS | |||||||
Own/rent apartment | 81 | 40.7% | 60 | 45.8% | 21 | 30.9% | ||
Someone else's apartment | 100 | 50.3% | 59 | 45.0% | 41 | 60.3% | ||
Institution | 15 | 7.5% | 9 | 6.9% | 6 | 8.9% | ||
Other housed | 3 | 1.5% | 3 | 2.3% | 0 | 0.0% | ||
Employment status | NS | |||||||
Full-time (35 + hours a week) | 59 | 28.1% | 43 | 30.9% | 16 | 22.5% | ||
Part-time | 33 | 15.7% | 24 | 17.3% | 9 | 12.7% | ||
Unemployed, looking for work | 88 | 41.9% | 54 | 38.8% | 34 | 47.9% | ||
Unemployed, disabled | 9 | 4.3% | 6 | 4.3% | 3 | 4.2% | ||
Unemployed, not looking for work | 21 | 10.0% | 12 | 8.6% | 9 | 12.7% | ||
Past 90 day Income (total) | - | $782 ($849) | - | $830 ($891) | - | $689 ($759) | NS | |
Wages | - | $447 ($703) | - | $500 ($732) | - | $341 ($634) | NS | |
Public assistance | - | $116 ($210) | - | $110 ($218) | - | $127 ($195) | NS | |
Disability | - | $30 ($156) | - | $31 ($152) | - | $27 ($165) | NS | |
Family/friends | - | $84 ($199) | - | $61 ($$139) | - | $128 ($277) | NS | |
Retirement | - | $13 ($148) | - | $20 ($183) | - | $0 ($0) | NS | |
Other | - | $65 ($389) | - | $66 ($380) | - | $65 ($409) | NS | |
Pregnant | 6 | 2.9% | 4 | 2.9% | 2 | 2.8% | NS | |
Mental Health Scales | ||||||||
Traumatic Stress Scale (TSS) | - | 3.03 (3.61) | - | 2.55 (3.47) | - | 3.99 (3.73) | .007 | |
Depressive Symptoms Scale (DSS) | - | 3.76 (2.92) | - | 3.48 (2.97) | - | 4.31 (2.74) | NS | |
General Mental Distress Scale (GMDS) | - | 8.24 (6.40) | - | 7.60 (6.36) | - | 9.49 (6.33) | .042 | |
Substance Abuse Scales | ||||||||
Substance Frequency Scale (SFS) | - | 0.09 (0.13) | - | 0.08 (0.11) | - | 0.12 (0.16) | .037 | |
Past 90 Day Alcohol Usage | - | 5.87 (13.64) | - | 5.23 (11.66) | - | 7.11 (16.86) | NS | |
Past 90 Day Marijuana Usage | - | 5.85 (15.83) | - | 5.49 (16.04) | - | 6.55 (15.51) | NS | |
Past 90 Day Crack Usage | - | 0.84 (5.47) | - | 0.65 (5.20) | - | 1.24 (6.01) | NS | |
Past 90 Day Cocaine Usage | - | 0.15 (0.92) | - | 0.19 (1.07) | - | 0.09 (0.45) | NS | |
Past 90 Day Heroin Usage | - | 0.23 (3.13) | - | 0.35 (3.84) | - | 0.00 (0.00) | NS | |
Past 90 Day Pain killers, Opiates Usage | - | 12.23 (24.29) | - | 8.36 (18.34) | - | 19.77 (31.74) | .006 | |
Past 90 Day Anti-Anxiety, Tranquilizer Usage | - | 3.74 (11.09) | - | 4.01 (11.96) | - | 3.19 (9.15) | NS | |
Past 90 Day Downers, Sedative Usage | - | 0.22 (1.80) | - | 0.15 (1.71) | - | 0.38 (1.97) | NS |
Graduation. Information concerning each participant's graduation or discharge status was obtained from the Pinellas County Adult Drug Court.
Global Appraisal of Individual Needs. (GAIN; Dennis, Titus, White, Unsicker, & Hodgkins, 2006). The GAIN is a bio-psychosocial review assessing participant clinic and demographic characteristics at intake. Four subscales were included:
Substance Frequency Scale (SFS). Aggregate average of percent of days reported of any alcohol/ or drug use (past 90 day use of heavy alcohol/ other drug use, marijuana, crack/ cocaine, opiate, and heroin use). Higher scores indicate more frequency of use.
Traumatic Stress Scale (TSS). Count of past year memories/ symptoms of trauma (e.g., PTSD) and current trauma as it is associated with exposure to traumatic events. This scale (13 total questions) is scored with higher scores indicating more traumatic symptoms.
Depressive Symptoms Scale (DSS).Symptoms of depression with higher levels indicate increased hopelessness and indecisiveness. The scale, made up of 9 questions, is scored with higher scores indicating more depressive symptoms.
General Mental Distress Scale (GMDS). Symptoms of depression, somatic, anxiety, and suicidal thoughts. The scale (26 total questions) is scored with higher scores indicating more general mental distress.
Simple descriptive statistics were used to depict participant demographic and clinical characteristics. Internal consistency reliability analyses were conducted on each scale, indicating the mental health and trauma scales produced scores with good to high levels of reliability (GMDS α = .904, TSS α = .891, DSS α= .822). SFS reliability could not be assessed due to the nature of the scale, which was an aggregate of several scales. Bivariate statistics were used to examine whether demographics and substance frequency (as well as subscales) differed between participants who graduated and those who did not. A series of stepwise logistic regressions was performed to determine whether any clinical or demographic variables could be used to predict drug court graduation. Participant baseline substance use was entered on the first step of each equation, with mental health variables entered on the second step to determine if they could predict graduation above and beyond the baseline substance use variable. Nagelkerke R2 statistics (Nagelkerke, 1991) were computed to gauge the percent of variance accounted for by each step of each regression model. All analyses were performed using SPSS version 21.
Bivariate associations. Overall, bivariate associations indicated no statistically significant demographic differences between those who did and did not graduate; however, the Substance Frequency Scale (SFS) was directly related to graduation, t (111. 969) = 2.345, p = .037. Of the SFS subscales, only past 90 days of opiate usage was significant t (95.938) = 3.258, p = .006
Table 2
Descriptive statistics and correlations for study independent and dependent variables
Variable | 1 | 2 | 3 | 4 | 5 |
1. Substance Abuse Frequency (SFS) | 1.00 | - | - | - | - |
2. General Mental Distress (GMDS) | .131 | 1.00 | - | - | - |
3. Traumatic Stress Scale (TSS) | .105 | .643** | 1.00 | - | - |
4. Depressive Symptom Scale (DSS) | .182** | .914*** | .582** | 1.00 | - |
5. Graduation | -.161* | -.141* | -.188** | -.135 | 1.00 |
Multivariable associations. A series of multivariable, stepwise logistic regression models were used to examine the association between participant baseline scores on each of the mental health scales from the GAIN (GMDS, TSS, and DSS) and graduation status. Given the statistically significant differences in level of baseline SFS scores and graduation status, SFS was included as a covariate in the first step of all models. SFS was significantly associated with the likelihood of graduation, (X2 (1) = 6.402, p = .023) such that those with higher baseline scores on the substance frequency scale were less likely to graduate (OR = .081; p = .023, 95% CI [.009- .709]). Table 3 summarizes these results.
Model 1 explored the association between baseline GMDS scores and likelihood of graduation, after controlling for the association SFS. Results from Model 1 indicate no significant step (X 2 (2) = 11.439, p = .042) and no significant overall model chi-square after including GMDS, after controlling for SFS. Therefore, higher GMDS baseline scores were not associated with reduced likelihood of graduation (OR =. 960; p = .078, 95% CI [.917- 1.005]).
Model 2 explored the association between baseline TSS scores and likelihood of graduation after controlling for SFS. Results from Model 2 indicated that a significant step (X2 (2) =13.580, p < .001) or overall model chi-square after including TSS, after controlling for SFS. Higher TSS baseline scores were associated with reduced likelihood of graduation (OR = 0.904; p = .014; 95% CI [0.834 - 0.979]). The overall model statistics obtained after Step 2 indicated that Model 2 achieved a Nagelkerke R2 of .079, meaning that the SFS and TSS collectively explained 7.9 percent of the variance in likelihood of graduating.
Model 3 explored the association between baseline DSS scores and likelihood of graduation after controlling for SFS. Results from Model 3 indicate no significant step (X2 (2) = 10.603, p < .005) and no significant overall model chi-square after including GMDS, after controlling for SFS. Higher GMDS baseline scores were not associated with reduced likelihood of graduation (OR = 0.109, p = .117; 95% CI [.0.833-1.021]).
Table 3
Logistic regression stepwise models examining the associations between drug court graduation and baseline levels of substance use and mental health symptomatology
Step 1 | Step 2 | ||||||||||
Model | Variable | B | OR | 95% CI | Sig | Nag. R2 | B | OR | 95% CI | Sig | Nag. R2 |
1 | Substance Frequency Scale | -2.513 | 0.081 | 0.009-0.709 | .023 | .034 | -2.290 | 0.101 | 0.011-0.919 | .042 | .054 |
General Mental Distress | - | - | - | - | -0.041 | 0.960 | 0.917-1.005 | .078 | |||
2 | Substance Frequency Scale | -2.746 | 0.064 | 0.007-0.586 | .015 | .040 | -2.552 | 0.078 | 0.008-0.750 | .027 | .079 |
Traumatic Stress Scale | - | - | - | - | -0.101 | 0.904 | 0.834-0.979 | .014 | |||
3 | Substance Frequency Scale | -2.513 | 0.081 | 0.009-0.709 | .023 | .034 | -2.212 | 0.109 | 0.012-1.001 | .050 | .050 |
Depressive Symptoms Scale | - | - | - | - | -0.081 | 0.922 | 0.833-1.021 | .117 |
This paper reports potential predictors of participant mental health on graduation in an adult drug court program with a uniquely at-risk and vulnerable population: female drug court offenders with prescription drug related offenses. The present findings indicated that participants with more trauma are less likely to graduate. These findings are consistent with our hypothesis in regard to trauma symptoms as predictors of graduation.
Our hypothesis that that higher levels of substance frequency was associated with trauma was supported by our results. In addition, our results are consistent with the substance abuse findings by Butzin and colleagues with trauma being associated with drug use (Butzin, Saum, & Scarpitt, 2002). Our results demonstrated that past 90 day opiate, prescription drug usage was significant which signifies the unique characteristics of our sample of female drug court offenders with prescription drug issues.
After finding that those with higher substance abuse frequency were less likely to graduate, we used substance abuse frequency as a covariate and first step in our logistic regression model. Results revealed higher levels of trauma were significantly associated with decreased likelihood of graduation. These results suggest that drug courts should do early assessment of traumatic stress before entry into treatment to help aid in drug court success. In addition, these conclusions reveal the importance of evidence-based assessment tools during intake of drug court.
Furthermore, the findings of our study recommend using more individualized specific treatment after early evidence-based assessment to reduce mental health issues. The WeCan! drug court program uses a specific evidence-based treatment model that address trauma (i.e., Seeking Safety). The author is currently developing a new treatment model titled "Creating Change," which includes new coping skills and representation of past memories to further address PTSD related issues (Najavits, in press). This new treatment curriculum may provide new coping skills that may be used to help deal with past, traumatic memories in conjunction with higher levels of graduation.
These findings are consistent with Gray and Saum (2005) who posited females with high levels of traumatic stress were less likely to graduate. However, this study did not focus on a gender or drug specific group but instead assessed the population as a whole. In contrast to Gray and Saum (2005), participants in our study were uniquely vulnerable in the criminal justice system. Prior research has suggested that females are more likely to have a co-occurring disorders and abuse prescription drugs as a method of coping as compared to men (Sacks, 2004; Staton-Tindall, Leukefeld, & Webster, 2003).
There were some limitations that arose in this study that need to be reported. First, the GAIN assessment was self-report and did not have a comparison group. Also, the current study only assessed drug court offenders in Florida, which may not be an accurate representation of the nation as a whole. Finally, the program was only comprised of females with prescription drug abuse issues and this leads to a potential lack of generalizability.
Despite some study limitations, these findings suggest that those who have traumatic stress symptoms at baseline are less likely to graduate. Furthermore, Pinellas County Adult Drug Court should consider trauma informed assessment early in intake/ treatment to increase successful graduation from the adult drug court. Future programs should address co-occurring mental health and substance abuse disorders at baseline, using a comprehensive assessment. Additionally, utilizing trauma informed programs may be helpful, particularly utilizing gender specific treatment.
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The authors would like to acknowledge the WeCan! drug court treatment team for their support and providing information for the analysis of the graduation of female offenders. The authors would also like to acknowledge Drug Court Judge De Anna Farnell for her dedication and treatment as well as Mr. Nick Bridenback for his assistance.
Funding for this project was supported by the Substance Abuse and Mental Health Services Administration, Center for Substance Abuse Treatment grant #T120117-01.
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