Daniel D. Squires

Examining an affect regulation model of substance abuse in schizophrenia : The role of traits and coping

Comorbid substance use disorders occur frequently in schizophrenia with significant detrimental effects to clinical outcome. Unfortunately, attempts to identify factors associated with comorbid substance use disorders (beyond demographic characteristics such as gender) have not been successful. This study examined an affect regulation model of comorbid substance use in schizophrenia with a focus on personality traits and coping. It was hypothesized that maladaptive coping and the traits of negative affect (NA) and disinhibition (DIS), but not trait positive affect (PA), would be associated with greater substance use problems. Thirty-nine patients with schizophrenia or schizoaffective disorder completed measures of personality traits, coping, and negative consequences associated with substance use. Traits were differentially associated with coping in that NA and DIS, but not PA, were associated with maladaptive coping including the use of drugs and alcohol to cope with stress. Alternatively, PA, but not DIS or NA, was related to adaptive coping strategies. Individuals high in NA and endorsing the use of drugs and alcohol to cope reported the greatest number of negative consequences from substance use. This finding held after controlling for gender. These results are consistent with an affect regulation model of substance use and suggest the advantage of examining the role of affect, traits, and coping in understanding comorbid substance use in schizophrenia.

Web-based norms for the Drinker Inventory of Consequences from the Drinker's Checkup

To date, the only published norms for the Drinker Inventory of Consequences (DrInC) have come from a sample of heavy drinkers in Project MATCH (Matching Alcoholism Treatments to Client Heterogeneity) who were enrolling in a treatment program. We have generated an additional set of norms for the DrInC based on a large sample (N = 1,564) of heavy drinkers who have completed the DrInC as part of a Web-based brief motivational intervention, the Drinkers Checkup (DCU; www.drinkerscheckup.com). Although these drinkers were not seeking formal treatment, they were concerned enough about their drinking to pay

Attitudes and Training Needs of New England HIV Care and Addiction Treatment Providers: Opportunities for Better Integration of HIV and Alcohol Treatment Services.

25 to use the DCU. Comparing the means and decile scores for lifetime and recent total scores and subscale scores between the DCU and MATCH samples revealed that DrInC scores for the DCU sample were significantly lower than the MATCH sample. These findings have implications for giving normative feedback using the DrInC with non-treatment-seeking populations. The use and limitations of these findings are discussed.

Factors associated with contingency management adoption among opioid treatment providers receiving a comprehensive implementation strategy

Objectives:Unhealthy alcohol use is common among HIV-infected patients and contributes to comorbidities, cognitive decline, unprotected sex, and poor medication adherence. Studies consistently show missed opportunities to address unhealthy alcohol use as part of care. Although treatment of other drug use has been integrated into HIV care in some settings, more information is needed regarding provider attitudes regarding the need for integration of alcohol treatment and HIV care. Materials and Methods:We surveyed 119 HIV and 159 addiction providers regarding the following domains: existing knowledge, desire for new knowledge (with subdomains relative advantage, compatibility, and complexity of integrating knowledge), and individual and program development needs. Scale scores for each domain were correlated with demographics to identify factors associated with training need. Results:Both HIV and addiction providers reported agreement with statements of existing knowledge and the need for additional skills. The priority attributed to training, however, was low for both groups. Knowledge and perceived prevalence of HIV and unhealthy alcohol use increased with years of experience. Perceived prevalence correlated with compatibility but not the relative advantage of training. Conclusions:Though addressing alcohol use and HIV was acknowledged to be important, the priority of this was low, particularly early career providers. These providers may be important targets for training focusing on motivating coordination of care and skills related to assessment and counseling.

Training community-based treatment providers to implement contingency management for opioid addiction: Time to and frequency of adoption

Background: Contingency management (CM) is an evidence-based behavioral intervention for opioid use disorders (OUDs); however, CM adoption in OUD treatment centers remains low due to barriers at patient, provider, and organizational levels. In a recent trial, OUD treatment providers who received the Science to Service Laboratory (SSL), a multilevel implementation strategy developed by a federally funded addiction training center, had significantly greater odds of CM adoption than providers who received training as usual. This study examined whether CM adoption frequency varied as a function of provider sociodemographic characteristics (i.e., age, race/ethnicity, licensure) and perceived barriers to adoption (i.e., patient-, provider-, organization-level) among providers receiving the SSL in an opioid treatment program. Methods: Thirty-nine providers (67% female, 77% non-Hispanic white, 72% with specialty licensure, Mage = 42 [SD = 11.46]) received the SSL, which consisted of didactic training, performance feedback, specialized training of internal change champions, and external coaching. Providers completed a comprehensive baseline assessment and reported on their adoption of CM biweekly for 52 weeks. Results: Providers reported using CM an average of nine 2-week intervals (SD = 6.35). Hierarchical multiple regression found that providers identifying as younger, non-Hispanic white, and without addiction-related licensure all had higher levels of CM adoption frequency. Higher perceived patient-level barriers predicted lower levels of CM adoption frequency, whereas provider- and organization-level barriers were not significant predictors. Conclusions: The significant effect of age on CM adoption frequency was consistent with prior research on predictors of evidence-based practice adoption, whereas the effect of licensure was counter to prior research. The finding that CM adoption frequency was lower among racially/ethnically diverse providers was not expected and suggests that the SSL may require adaptation to meet the needs of diverse opioid treatment providers. Entities using the SSL may also wish to incorporate a more explicit focus on patient-level barriers.

The Drinker’s Check-up: 12-month outcomes of a controlled clinical trial of a stand-alone software program for problem drinkers

Contingency management (CM) is a well-established treatment for opioid use, yet its adoption remains low in community clinics. This manuscript presents a secondary analysis of a study comparing a comprehensive implementation strategy (Science to Service Laboratory; SSL) to didactic training-as-usual (TAU) as a means of implementing CM across a multi-site opioid use disorder program. Hypotheses predicted that providers who received the SSL implementation strategy would 1) adopt CM faster and 2) deliver CM more frequently than TAU providers. In addition, we examined whether the effect of implementation strategy varied as a function of a set of theory-driven moderators, guided by the Consolidated Framework for Implementation Research: perceived intervention characteristics, perceived organizational climate, and provider characteristics (i.e., race/ethnicity, gender). Sixty providers (39 SSL, 21 TAU) across 15 clinics (7 SSL, 8 TAU) completed a comprehensive set of measures at baseline and reported biweekly on CM use for 52 weeks. All participants received didactic CM training; SSL clinics received 9 months of enhanced training, including access to an external coach, an in-house innovation champion, and a collaborative learning community. Discrete-time survival analysis found that SSL providers more quickly adopted CM; provider characteristics (i.e., race/ethnicity) emerged as the sole moderator of time to adoption. Negative binomial regression revealed that SSL providers also delivered CM more frequently than TAU providers. Frequency of CM adoption was moderated by provider (i.e., gender and race/ethnicity) and intervention characteristics (i.e., compatibility). Implications for implementation strategies for community-based training are discussed.