D. Dwayne Simpson

Assessing organizational readiness for change

A comprehensive assessment of organizational functioning and readiness for change (ORC) was developed based on a conceptual model and previous findings on transferring research to practice. It focuses on motivation and personality attributes of program leaders and staff, institutional resources, and organizational climate as an important first step in understanding organizational factors related to implementing new technologies into a program. This article describes the rationale and structure of the ORC and shows it has acceptable psychometric properties. Results of surveys of over 500 treatment personnel from more than 100 treatment units support its construct validity on the basis of agreement between management and staff on several ORC dimensions, relationships between staff organizational climate dimensions and patient engagement in treatment, and associations of agency resources and climate with organizational stability. Overall, these results indicate the ORC can contribute to the study of organizational change and technology transfer by identifying functional barriers involved.

A conceptual framework for transferring research to practice

Systematic evaluations of efforts to transfer research-based interventions and procedures into general practice at community drug treatment programs have been limited. However, practical experiences as well as results from studies of technology transfer and organizational behavior in related fields provide a basis for proposing a heuristic model of key factors that influence this process. The successful completion of four stages of activity typically involved in program change (exposure, adoption, implementation, and practice of new interventions) appears to be influenced by several organizational considerations (e.g., institutional readiness for change, resources, and climate) as well as staff attributes. Assessment instruments for measuring organizational functioning (based on ratings aggregated for staff and patients in a program) are introduced, along with preliminary evidence for their validity. A better conceptual understanding of the process of program change and common barriers that may be encountered is needed for effectively transferring research to practice.

Effects of readiness for drug abuse treatment on client retention and assessment of process.

AIMS This study examined client motivation as a predictor of retention and therapeutic engagement across the major types of treatment settings represented in the third national drug abuse treatment outcome study (DATOS) conducted in the United States. DESIGN Sequential admissions during 1991-93 to 37 programs provided representative samples of community-based treatment populations. Based on this naturalistic non-experimental evaluation design, hierarchical linear model (HLM) analysis for nested data was used to control for systematic variations in retention rates and client attributes among programs within modalities. SETTING The data were collected from long-term residential (LTR), outpatient methadone (OMT) and outpatient drug-free (ODF) programs located in 11 large cities. PARTICIPANTS A total of 2265 clients in 18 LTR, 981 clients in 13 OMT and 1791 clients in 16 ODF programs were studied. MEASUREMENTS Pre-treatment variables included problem recognition and treatment readiness (two stages of motivation), socio-demographic indicators, drug use history and dependence, criminality, co-morbid psychiatric diagnosis and previous treatment. Retention and engagement (based on ratings of client and counselor relationships) served as outcome criteria. FINDINGS Pre-treatment motivation was related to retention in all three modalities, and the treatment readiness scale was the strongest predictor in LTR and OMT. Higher treatment readiness also was significantly related to early therapeutic engagement in each modality. CONCLUSIONS Indicators of intrinsic motivation--especially readiness for treatment--were not only significant predictors of engagement and retention, but were more important than socio-demographic, drug use and other background variables. Improved assessments and planning of interventions that focus on stages of readiness for change and recovery should help improve treatment systems.

Drug Abuse Treatment Process Components that Improve Retention

BACKGROUND Longer retention has been the most consistent predictor of favorable drug abuse treatment outcomes, but key therapeutic and patient engagement indicators of treatment process need to be more clearly established. METHODS An integrative model representing treatment dynamics was tested for explaining long-term program retention. It was based on a multisite sample of 527 daily opioid users who remained in methadone maintenance a minimum of 3 months. All had been assigned randomly to a counseling condition at admission (i.e., cognitively enhanced or standard), and information obtained from patient files, as well as periodic assessments completed by patients and their counselors in the first 90 days after admission were the sources of predictors. RESULTS Counseling enhancements (using node-link mapping, a visual representation tool for improving communication and problem solving) contributed to stronger therapeutic relationships between counselor and patient, which in turn had a positive reciprocal relationship with patient engagement (session attendance). Pretreatment motivation measured at intake was also related to higher engagement. More positive therapeutic relationships (in months 1 and 2) led to lower levels of during-treatment drug use (defined from urinalysis results in months 2 and 3), and better session attendance and therapeutic relationships both predicted longer retention. In addition, lower drug use during treatment was related to longer retention. CONCLUSIONS Major conceptual domains of drug abuse treatment process were identified in community-based programs and their interrelationships with retention specified. As intermediate (during treatment) criteria, they can help guide functional improvements in program effectiveness as illustrated with our counseling enhancements.

Retention and patient engagement models for different treatment modalities in DATOS.

A model to explain treatment retention in terms of process components--therapeutic involvement and session attributes for the 1st month--and patient background factors were tested in long-term residential (LTR), outpatient drug free (ODF), and outpatient methadone (OMT) treatments. The data was collected in the national Drug Abuse Treatment Outcome Studies (DATOS), and included 1362 patients in LTR, 866 in ODF, and 981 in OMT programs. Structural equation models showed there were positive reciprocal effects between therapeutic involvement and session attributes in all three modalities, and these variables had direct positive effects on treatment retention. Motivation at intake was a strong determinant of therapeutic involvement. Other patient background factors were significantly related to retention, including pretreatment depression, alcohol dependence, legal pressure, and frequency of cocaine use.

Drug abuse treatment retention and process effects on follow-up outcomes.

After finding that retention in methadone treatment for a year or longer was a highly significant predictor of patient outcomes following discharge, measures of pretreatment motivation and early therapeutic engagement were examined as predictors of program retention. Personal interviews were conducted with a sample of 435 patients 12 months after discharge from three methadone treatment programs. Logistic regression results showed several patient attributes--i.e. over 35, lower injection frequency before admission, and higher motivation for treatment--were each associated with twofold increases in the likelihood of having favorable follow-up outcomes on illicit drug use, alcohol use, and criminal involvement. Patients staying in treatment a year or longer, however, were nearly five times more likely to have better outcomes. Further analyses established that length of treatment stay was predicted by higher patient motivation at intake and early program involvement. The findings suggest that more comprehensive models of patient attributes, therapeutic process, and environmental influences are needed, and that treatment enhancement efforts should focus on such during-treatment measures as interim criteria for improving posttreatment outcomes.

Client engagement and change during drug abuse treatment

Previous work has shown length of time in drug abuse treatment is associated with better outcomes, but the role of therapeutic engagement and process needs further examination. In this study, the total number of counseling sessions attended by 557 clients in their first 90 days of community-based outpatient treatment was examined in relation to indicators of treatment delivery and progress. Significant client improvements were found on behavioral criteria and psychosocial functioning during the first 3 months of treatment, and session attendance was positively related to favorable behavioral changes as well as to positive perceptions by clients and counselors of their therapeutic interactions. Client background, treatment motivation, and therapeutic focus of counseling in Month 1 were significant predictors of session attendance in the first 3 months following admission to methadone treatment.

Measuring patient attributes and engagement in treatment

Brief but comprehensive instruments measuring patient motivation, psychosocial functioning, treatment process, social network support, and services received are needed for monitoring drug abuse treatment delivery and patient progress. Combining this information across patients within a program also provides useful indicators about institutional composition and functioning. Consequently, the same assessment tools can be used to identify areas where treatment protocols need to be changed, and to monitor improvements following such changes. The Texas Christian University (TCU) Client Evaluation of Self and Treatment (CEST)(1) is a 144-item self-rating instrument that includes 16 scales measuring patient functioning and treatment perceptions. Psychometric properties (including reliability and construct validity) of the scales are examined in this article, based on patient samples drawn from 87 programs that participated in a series of staff training workshops. Acceptable reliabilities (.70 or above) were generally reported, and construct validity was also demonstrated (although the confirmatory factor analyses suggested some item pools could represent more than one factor). Prediction analyses were conducted using selected scales from each measurement domain to illustrate their sensitivity to treatment program contexts.

Employee substance use and on-the-job behaviors.

Substance use and job behaviors were assessed in a sample of municipal employees from a large city in the southwestern United States. Job behaviors included psychological and physical withdrawal, positive work behaviors, and antagonistic work behaviors. Employees who reported substance use at or away from work were found to more frequently engage in withdrawal activities and antagonistic work behaviors than did nonusers, although users and nonusers did not differ on positive work behaviors. We tested hierarchical regression models to determine whether substance use contributed unique variance to the prediction of job behaviors after we controlled for variance associated with personal and job background domains. Substance use added unique variance to the prediction of psychological and physical withdrawal behaviors but not to positive or antagonistic work behaviors.

Contingency management in outpatient methadone treatment: a meta-analysis.

A meta-analysis was conducted on contingency management interventions in outpatient methadone treatment settings. The outcome measure of interest was drug use during treatment, as detected through urinalysis. The results confirm that contingency management is effective in reducing supplemental drug use for these patients. The analysis of behavioral interventions yielded an overall effect size (r) of 0.25 based on 30 studies. Significant moderators of outcomes included type of reinforcement provided, time to reinforcement delivery, the drug targeted for behavioral change, number of urine specimens collected per week, and type of subject assignment. These factors represent important considerations for reducing drug use during treatment.