Introduction Opportunities to influence behavior through the use of electronic reminders has not been examined in a criminal justice population. The purpose of this study was to assess probationer preferences for short-term goals from a web-based program and evaluate the role of voluntary electronic reminders (e.g., text messaging, email) in achieving early treatment and probation tasks. Methods We used data from drug-involved offenders (n=76) participating in a clinical trial of a 2-session motivational computer program. As part of the program, participants could choose to receive text or email reminders about their probation and treatment goals for the next month. Poisson regression models were utilized to evaluate goal and reminder selection in relation to the days of substance use and treatment attendance at two-month follow-up. Results The most common goals were related to probation and treatment tasks, relationships, and cognitive reappraisals. Forty-five percent of probationers elected to receive electronic goal reminders at Session 1 with a slight increase at Session two (49%). Probationers who opted to receive electronic goal reminders at Session one selected significantly more goals on average (M = 4.4, SD = 2.1) than probationers who did not want reminders (M = 3.4, SD = 1.8), (t = 2.41, p = .019). Reminder selection and total number of goals selected predicted days of substance use and treatment attendance at a two-month follow-up. Probationers who opted not to receive electronic reminders and those who only chose to receive reminders at one visit had more days of substance use compared to those who chose to receive reminders at both visits, 1.66 and 2.31 times respectively. Probationers who chose not to receive electronic reminders attended 56% fewer days of treatment compared to those who chose to receive reminders at both visits. Conclusions People’s choice of short-term goals and reminders can provide advance notification of the likelihood of substance use and treatment initiation. Probation systems might use such information to triage at-risk probationers to a higher level of service, before problems have emerged.
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.MethodsWe 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.ResultsThe 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).ConclusionsSocial 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.
Introduction Although substance use is common among people in the U.S. criminal justice system, treatment initiation remains an ongoing problem. This study assessed the reliability and predictive validity of the Motivational Interviewing Treatment Integrity 3.1.1. (MITI) coding instrument in a community corrections sample. Methods We used data from 80 substance-using clients who were participating in a clinical trial of MI in a probation setting. We analyzed 124 MI counseling sessions using the MITI, a coding system for documenting MI fidelity. Bivariate associations and logistic regression modeling were used to determine if MI consistent behaviors predicted substance use or treatment initiation at a two-month follow-up. Results We found a high level of agreement between coders on behavioral utterance counts. Counselors met at least beginning proficiency on most MITI summary scores. Probationers who initiated treatment at two-month follow-up had significantly higher ratings of clinician empathy and MI spirit than clients who did not initiate treatment. Other MITI summary scores were not significantly different between clients who had initiated treatment and those who did not. MI spirit and empathy ratings were entered into a forward logistic regression in which MI spirit significantly predicted two-month treatment initiation (χ2 (1) = 4.10, p < .05, R2 = .05) but counselor empathy did not. MITI summary scores did not predict substance use at two-month follow-up. Conclusions Counselor MI consistent relational skills were an important predictor of client treatment initiation. Counselor behaviors such as empathy and MI spirit may be important for developing client rapport with people in a probation setting.
Background While the Veterans Health Administration (VHA) MOVE! weight management program is effective in helping patients lose weight and is available at every VHA medical center across the United States, reaching patients to engage them in treatment remains a challenge. Facility-based MOVE! programs vary in structures, processes of programming, and levels of reach, with no single factor explaining variation in reach. Configurational analysis, based on Boolean algebra and set theory, represents a mathematical approach to data analysis well-suited for discerning how conditions interact and identifying multiple pathways leading to the same outcome. We applied configurational analysis to identify facility-level obesity treatment program arrangements that directly linked to higher reach. Methods A national survey was fielded in March 2017 to elicit information about more than 75 different components of obesity treatment programming in all VHA medical centers. This survey data was linked to reach scores available through administrative data. Reach scores were calculated by dividing the total number of Veterans who are candidates for obesity treatment by the number of “new” MOVE! visits in 2017 for each program and then multiplied by 1000. Programs with the top 40 % highest reach scores (n = 51) were compared to those in the lowest 40 % (n = 51). Configurational analysis was applied to identify specific combinations of conditions linked to reach rates. Results One hundred twenty-seven MOVE! program representatives responded to the survey and had complete reach data. The final solution consisted of 5 distinct pathways comprising combinations of program components related to pharmacotherapy, bariatric surgery, and comprehensive lifestyle intervention; 3 of the 5 pathways depended on the size/complexity of medical center. The 5 pathways explained 78 % (40/51) of the facilities in the higher-reach group with 85 % consistency (40/47). Conclusions Specific combinations of facility-level conditions identified through configurational analysis uniquely distinguished facilities with higher reach from those with lower reach. Solutions demonstrated the importance of how local context plus specific program components linked together to account for a key implementation outcome. These findings will guide system recommendations about optimal program structures to maximize reach to patients who would benefit from obesity treatment such as the MOVE! program.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.