Differences in successful treatment completion among pregnant and non-pregnant American women

The effect of legal mandates on substance use disorder treatment completion among older adults

Objective: This study seeks to determine the relationship between referral type (legally mandated versus non-mandated) and substance use disorder (SUD) treatment completion among older adults and by primary substance used.Method: We used data from the Treatment Episode Data Set - Discharges (TEDS-D) from 2011. Using data for persons age 55 and over (n = 104,747), we used propensity score matching (PSM) to address selection bias and attenuate the likelihood of a type I error. Logistic regression models estimated the effect of referral type on treatment completion based on treatment for a primary substance for five categories of substances.Results: In the matched sample, those who faced treatment mandates had 71% greater odds of completing treatment compared with those who entered treatment voluntarily (OR =1.71, 95% CI [1.64, 1.79]). Based on the primary drug used, odds of treatment completion were highest for alcohol, with 86% greater treatment completion for the mandated individuals compared with those entering treatment without a legal mandate (OR =1.86, 95% CI [1.75, 1.97]).Conclusion: These findings suggest that the motivating influence of treatment mandates may encourage completion of SUD treatment among older adults. Although the legal mandates for treatment are punitive, they may act to keep older adults with SUD engaged in treatment, an important factor as treatment completion is inversely related to relapse of a SUD.

Assessing factors associated with discharge from opioid agonist therapy due to incarceration in the United States

The following study investigates factors associated with discharge from OAT due to incarceration in a sample of 64,331 discharges in the United States. Multinomial regression investigated the association between demographic factors, prior arrest, referral source (i.e criminal justice agency) intravenous drug use, types of drug used, length of prior treatment and discharge due to incarceration compared to completing treatment or discharge due to other reasons. African Americans, Latinx, and Native Americans were at greater risk of discharge due to incarceration compared to whites. Referral to OAT from criminal justice agencies and self-referral was associated with increased risk of discharge from OAT due to incarceration compared to referral from a health care provider. Substance use of heroin, benzodiazepines, synthetic opioids, cocaine and non-prescription use of methadone were associated with discharge due to incarceration. Risk of discharge due to incarceration was higher for patients who reported intravenous drug use and who reported a co-morbid psychiatric problem. These findings enrich a nascent body of literature on mechanisms associated with attrition from OAT due to incarceration and emphasize the need for programs to divert people with OUD from incarceration to increase engagement and retention in OAT.

Mental Disorders and Suicide Attempts in the Pregnancy and Postpartum Periods Compared with Non-Pregnancy: A Population-Based Study

OBJECTIVE

To compare the rate of mental disorders (i.e., mood and anxiety, substance use, psychotic disorders) and suicide attempts within the same group of women across the pre-pregnancy, pregnancy, and postpartum periods, and between this perinatal cohort and a non-perinatal reference group.

METHOD

Data were from an administrative repository of residents in Manitoba, Canada. The perinatal cohort consisted of women aged 18 to 45 years who experienced >1 live birth pregnancy between 2011 and 2014 (n = 45,362). Pre-pregnancy, pregnancy, and postpartum periods were defined over consecutive 40-week intervals. The non-perinatal cohort consisted of age-matched women with no pregnancies during the same period (n = 139,705). A reference 40-week interval was defined from the individual's birthdate in the year they entered the cohort. Rate ratios of diagnosed mental disorders were adjusted (aRR) for demographic factors, parity, and mental health history.

RESULTS

Within the perinatal cohort, pregnancy was associated with a lower rate of diagnosed mood or anxiety disorder, substance use disorder, and suicide attempt relative to pre-pregnancy (aRR range, 0.22-0.82). Pregnancy also had lower rates of all outcomes compared with the postpartum period (aRR, 0.44-0.87). Postpartum had a higher rate of psychotic disorder compared with pre-pregnancy (aRR, 1.61; 95% CI, 1.17-2.21), but a lower rate of mood or anxiety disorder and suicide attempt. Compared with non-perinatal women, pregnancy was associated with lower rates of all outcomes (aRR range, 0.25-0.87).

CONCLUSIONS

Compared with a non-perinatal period, the rate of a diagnosed mental disorder is lower during pregnancy but begins to rise in the postpartum period, highlighting an important period for early identification and rapid access to intervention.

Transactional relations between caregiving stress, executive functioning, and problem behavior from early childhood to early adolescence

Developmental psychopathologists face the difficult task of identifying the environmental conditions that may contribute to early childhood behavior problems. Highly stressed caregivers can exacerbate behavior problems, while children with behavior problems may make parenting more difficult and increase caregiver stress. Unknown is: (a) how these transactions originate, (b) whether they persist over time to contribute to the development of problem behavior and (c) what role resilience factors, such as child executive functioning, may play in mitigating the development of problem behavior. In the present study, transactional relations between caregiving stress, executive functioning, and behavior problems were examined in a sample of 1,388 children with prenatal drug exposures at three developmental time points: early childhood (birth to age 5), middle childhood (ages 6 to 9), and early adolescence (ages 10 to 13). Transactional relations differed between caregiving stress and internalizing versus externalizing behavior. Targeting executive functioning in evidence-based interventions for children with prenatal substance exposure who present with internalizing problems and treating caregiving psychopathology, depression, and parenting stress in early childhood may be particularly important for children presenting with internalizing behavior.

Use of a machine learning framework to predict substance use disorder treatment success

There are several methods for building prediction models. The wealth of currently available modeling techniques usually forces the researcher to judge, a priori, what will likely be the best method. Super learning (SL) is a methodology that facilitates this decision by combining all identified prediction algorithms pertinent for a particular prediction problem. SL generates a final model that is at least as good as any of the other models considered for predicting the outcome. The overarching aim of this work is to introduce SL to analysts and practitioners. This work compares the performance of logistic regression, penalized regression, random forests, deep learning neural networks, and SL to predict successful substance use disorders (SUD) treatment. A nationwide database including 99,013 SUD treatment patients was used. All algorithms were evaluated using the area under the receiver operating characteristic curve (AUC) in a test sample that was not included in the training sample used to fit the prediction models. AUC for the models ranged between 0.793 and 0.820. SL was superior to all but one of the algorithms compared. An explanation of SL steps is provided. SL is the first step in targeted learning, an analytic framework that yields double robust effect estimation and inference with fewer assumptions than the usual parametric methods. Different aspects of SL depending on the context, its function within the targeted learning framework, and the benefits of this methodology in the addiction field are discussed.