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Objective: The Alcohol Addiction Research Domain Criteria (AARDoC) is an organizational framework for assessing heterogeneity in addictive disorders organized across the addiction cycle domains of incentive salience, negative emotionality, and executive functioning and may have benefits for precision medicine. Recent work found pretreatment self-report items mapped onto the addiction cycle domains and predicted 1- and 3-year alcohol use disorder treatment outcomes. Given the potential utility of the addiction cycle domains for predicting relevant treatment outcomes, this study sought to evaluate the longitudinal measurement invariance of the domains. Method: We conducted a secondary analysis of individuals with alcohol use disorder (n = 1,383, 30.9% female, 76.8% non-Hispanic White, 11.2% Hispanic) who participated in the COMBINE study. Eleven items assessed at pre- and posttreatment were included in exploratory structural equation modeling (ESEM) and longitudinal invariance analyses. Results: The pre- and posttreatment ESEM models had factor loadings consistent with the three addiction cycle domains and fit the data well. The ESEM factor structure was invariant from pre- to posttreatment (representing configural invariance) and metric invariance (factor loadings) was largely supported, but analyses failed to support scalar invariance (item-level thresholds) of the addiction cycle domains. Conclusions: A three-factor structure representing addiction cycle domains can be modeled using brief self-report measures pre- and posttreatment. Individuals demonstrated a downward shift in the level of item endorsement, indicating improvement with treatment. Although this 11-item measure might be useful at baseline for informing treatment decisions, results indicate the need to exercise caution in comparing the addiction cycle domains pre- to posttreatment within persons. Public Health Significance Statement: The addiction cycle domains of reward/incentive salience, relief/negative emotionality, and executive functioning, which are based on a neurobiological model of alcohol use disorder, may have clinical utility in predicting alcohol use disorder treatment response and recovery outcomes, but more work is needed before domain scores can be used to assess changes within individuals across time. [ABSTRACT FROM AUTHOR]

Objective: The addiction cycle has been proposed as a framework for understanding the progression of alcohol use disorder (AUD) in terms of psychological and biological domains, including reward drinking/incentive salience, relief drinking/negative emotionality, and loss of control/executive functioning impairment. To have utility in clinical practice, self-report measures of these domains that are applicable across sociodemographic groups and associated with clinical outcomes are needed. This study sought to validate domains from self-report measures and to test whether domains are measurement invariant across sociodemographic groups and associated with treatment outcomes. Method: Secondary analysis of individuals with AUD (n = 3,092) who participated in two alcohol clinical trials, Project Matching Alcohol Treatment to Client Heterogeneity (MATCH) and COMBINE. Factor analytic methods were used to derive addiction cycle domains at baseline. These domains were then examined as predictors of outcomes. Results: Fifteen self-report items were used as indicators of the addiction cycle domains, with sociodemographic differences in measurement by sex, age, race, education, and AUD symptoms. Relief/negative emotionality and reward/incentive salience were significantly associated with outcomes at 1 and 3 years following treatment, and executive functioning also predicted nonabstinent recovery at 3 years. Conclusions: The results support the utility of domains relevant to the addiction cycle in predicting AUD treatment outcomes and recovery among individuals who sought treatment for AUD. The addiction cycle domains were more strongly associated with outcomes than other measures clinicians might use to predict outcomes (e.g., AUD symptoms). Future research should continue to develop and refine the items and test whether the addiction cycle domains can inform treatment planning. [ABSTRACT FROM AUTHOR]

Objective: People living with severe mental illness are at increased risk of medical comorbidity as well as poverty, food insecurity, and inadequate social support in managing their mental and physical health conditions. Lack of access to sufficient food negatively affects a person's ability to manage health conditions, in particular diabetes, which is twice as common among people with severe mental illness as the general population. This study aimed to explore associations among food insecurity, social support, and psychiatric symptoms among adults with severe mental illness and diabetes. Method: A cross-sectional survey was conducted between January and May 2021 among adults (N = 156) with severe mental illness and type 2 diabetes who received primary care through a large academic health-care system (26% response rate). Valid and reliable questionnaires were implemented to measure food insecurity, social support, and mental health. Regression analysis was applied to examine the associations between food security status, social support, and mental health. Results: Food insecurity and social support are both correlated with psychiatric symptom severity. Specifically, support from family members has the largest protective role against food insecurity. Conclusions and Implications for Practice: This study found food insecurity is likely a critical issue to address whenever it is present in adults with severe mental illness (SMI) and type 2 diabetes. The presence of family support mitigates the need for addressing food insecurity. Practices and policies aimed at both addressing health inequities such as food insecurity and strengthening family support among people living with SMI and comorbid medical conditions are important adjuncts to self-management interventions. Impact and Implications: Medical care for diabetes for people who have SMI must address the impact of social determinants of health, including food insecurity and social support. For adults with SMI and type 2 diabetes, family support may have important effects on the link between food insecurity and adverse mental health outcomes. [ABSTRACT FROM AUTHOR]

Objectives: The purpose of this study was to examine associations between psychotherapy session attendance, alcohol treatment outcomes, and Alcoholics Anonymous (AA) attendance. Method: Using data from Project MATCH, repeated measures latent class analyses of psychotherapy session attendance were conducted among participants in the outpatient arm who were randomly assigned to complete 12-session cognitive-behavioral therapy (CBT; n = 301), 12-session twelve-step facilitation (TSF; n = 335), or 4-session motivational enhancement therapy (MET; n = 316). Associations between psychotherapy attendance classes, heavy drinking, alcohol-related consequences, psychosocial functioning, and AA attendance were examined at posttreatment (97% retention), 1-year posttreatment (92% retention), and 3-years posttreatment (85% retention). Results: In general, participants who attended all 12 CBT/TSF sessions had significantly fewer heavy drinking days and alcohol-related consequences at all posttreatment time points than participants who attended 0–2 CBT/TSF sessions. Participants who attended all four MET sessions generally had significantly fewer heavy drinking days and alcohol-related consequences at posttreatment and 1-year posttreatment than participants who attended 0–1 MET sessions. Participants who attended more TSF and MET sessions generally attended more AA meetings, and participants who attended less CBT sessions generally attended fewer AA meetings. Conclusions: With some exceptions, attending all sessions in CBT, TSF, and MET was related to the most favorable heavy drinking and alcohol-related consequences outcomes. Alcoholics' Anonymous and other mutual help groups may be attended differently based on the form and dose of psychotherapy What is the public health significance of this article?: Attending 12 sessions of cognitive-behavioral therapy, 12 sessions of twelve-step facilitation, and 4 sessions of motivational enhancement therapy is generally related to significant reductions in heavy drinking and alcohol-related consequences at treatment end and up to 3 years following treatment. Clinicians should talk to clients about the function of AA attendance during CBT, TSF, and MET, as well as after psychotherapy termination. [ABSTRACT FROM AUTHOR]

Objective: Adolescents' drinking is influenced by their friends' drinking. However, it is unclear whether individually-targeted alcohol interventions reduce drinking in the friends of individuals who receive the intervention. This study used simulations of drinking in simulated longitudinal social networks to test whether individually-targeted alcohol interventions may be expected to spread to non-targeted individuals.Method: Stochastic actor-based models simulated longitudinal social networks where changes in drinking and friendships were modeled using parameters from a meta-analysis of high school 10th grade social networks. Social influence (i.e., how much one's friends' drinking affects their own drinking) and social selection (i.e., how much one's drinking affects who they select as friends) were manipulated at several levels. At the midpoint of each simulation, a randomly-selected heavy-drinking individual was experimentally assigned to an intervention (changing their drinking status to non-drinking) or a control condition (no change in drinking status) and the drinking statuses of that individual's friends were recorded at the end of the simulation.Results: Friends of individuals who received the intervention significantly reduced their drinking, with higher reductions occurring in networks with greater social influence. However, all effect sizes were small (e.g., average per-friend reduction of .07 on a 5-point drinking scale).Conclusions: Individually-targeted alcohol interventions may have small effects on reducing the drinking of non-targeted adolescents, with social influence being a mechanism that drives such effects. Due to small effect sizes, many adolescents may need to receive alcohol interventions to produce measurable effects on drinking outcomes for non-targeted individuals. (PsycInfo Database Record (c) 2021 APA, all rights reserved). [ABSTRACT FROM AUTHOR]

Objective: Clients who receive alcohol use disorder (AUD) treatment experience variable outcomes. Measuring clinical progress during treatment using standardized measures (i.e., measurement-based care) can help indicate whether clinical improvements are occurring. Measures of mechanisms of behavioral change (MOBCs) may be particularly well-suited for measurement-based care; however, measuring MOBCs would be more feasible and informative if measures were briefer and if their ability to detect reliable change with individual clients was better articulated. Method: Three abbreviated measures of hypothesized MOBCs (abstinence self-efficacy, coping strategies, anxiety) and a fourth full-length measure (depression) were administered weekly during a 12-week randomized trial of cognitive-behavioral therapy (CBT) for women with AUD. Psychometric analyses estimated how reliably each measure distinguished within-person change from between-person differences and measurement error. Reliability coefficients were estimated for simulated briefer versions of each instrument (i.e., instruments with fewer items than the already-abbreviated instruments) and rates of reliable improvement and reliable worsening were estimated for each measure. Results: All four measures had good reliability (.86–.90) for detecting within-person change. Many participants (41.4%–62.5%) reliably improved on MOBCs from first to last treatment session. Reliable improvement on MOBCs was associated with reductions in percentage of drinking days (PDD) at 3, 9, and 15-month follow-ups. Simulated briefer versions of each instrument retained good reliability for detecting change with only 3 (self-efficacy), 11 (coping strategies), 5 (anxiety), or 10 items (depression). Conclusions: Brief MOBC measures can detect reliable change for individuals in AUD treatment. Routinely measuring MOBCs may help with monitoring clinical progress. Public Health Significance: Brief measures of abstinence self-efficacy, coping strategies, depression, and anxiety reliably measure within-person clinical changes during alcohol use disorder (AUD) treatment. The 41%–63% of clients who showed reliable improvement in these measures during outpatient AUD treatment had the largest reductions in drinking days after treatment. Measuring these constructs during AUD treatment can be one way of delivering measurement-based care, an evidence-based practice that is rarely utilized in routine AUD treatment. [ABSTRACT FROM AUTHOR]

Objectives: Studying clinical course after alcohol use disorder (AUD) treatment is central to understanding longer-term recovery. This study's two main objectives were to (a) replicate a recent study that identified heterogeneity in patterns of remission from/relapse to heavy drinking during the first year after outpatient treatment in an independent data set and (b) extend these recent findings by testing associations between patterns of remission/relapse and long-term alcohol-related and functioning outcomes. Method: Latent profile analyses were conducted using data from Project MATCH (N = 952; M age = 38.9; 72.3% female) and COMBINE (N = 1,383; M age = 44.4; 69.1% male). Transitions between heavy and nonheavy drinking within consecutive 2-week periods over a 1-year posttreatment period were characterized for each participant. From this, latent profiles were identified based on participants' initial 2-week heavy drinking status, the number of observed transitions between 2-week periods of relapse and remission, and the average duration of observed remission/relapse episodes. Results: In both MATCH and COMBINE, we identified six profiles: (a) "continuous remission," 25.3% of COMBINE sample/25.3% of MATCH sample; (b) "transition to remission," 19.6%/9.6%; (c) "few long transitions," 15.9%/33.7%; (d) "many short transitions," 13.2%/13.6%; (e) "transition to relapse," 7.2%/7.1%; and (f) "continuous relapse," 18.8%/10.5%. Profiles 1 and 2 had the best long-term outcomes, Profiles 5 and 6 had the worst, and Profiles 3 and 4 fell between these groups. Conclusions: That many individuals can remit from heavy drinking following one or more relapses to heavy drinking may be of direct interest to individuals in recovery from AUD. What is the public health significance of this article?: This study indicates that a substantial portion of individuals with alcohol use disorder can indeed transition back to remission from heavy drinking following one or more relapses to heavy drinking during the first year after outpatient treatment. Furthermore, findings indicate that the ability to repeatedly regain remission from heavy drinking, even following numerous relapses to heavy drinking, may confer substantial long-term benefits to individuals who have sought treatment for alcohol use disorder. [ABSTRACT FROM AUTHOR]

Low treatment utilization, relapse, and chronicity are characteristic of substance use disorders (SUDs). Craving is an important predictor of relapse. Individuals with an SUD report using various coping strategies in response to negative affect, two of which are investigated in the current study: suppression and acting with awareness. Suppression is typically understood to be avoidance of unwanted experience through turning attention away from unwanted stimuli. Acting with awareness (AWA) is a facet of mindfulness, which includes turning toward experience with kindness and curiosity, even when the experience is unwanted. Evidence suggests mindfulness may reduce craving, while suppression has been associated with increased craving. In the current study, participants (N = 210) had recently completed inpatient or intensive outpatient SUD treatment followed by a randomized controlled trial of aftercare. Participants completed measures within 2 weeks following the completion of the aftercare intervention. Negative affect and severity of dependence were both positively associated with craving. Structural equation modeling evaluated AWA and suppression as partial mediators of the link between negative affect and craving. Suppression was positively associated and AWA was negatively associated with craving. Mediation analyses revealed the indirect effect of negative affect on craving through AWA was significant, but the path through suppression was not. These findings suggest that AWA may inhibit the development of craving from negative affect, but further research is needed. Future research should investigate the path from negative affect to craving with greater temporal resolution to evaluate how these phenomena function with increased ecological validity. (PsycInfo Database Record (c) 2020 APA, all rights reserved). [ABSTRACT FROM AUTHOR]

Objective: In a randomized trial for women with alcohol use disorders (AUD), the efficacy of Female-Specific Cognitive Behavioral Therapy (FS-CBT) was compared with Gender-Neutral CBT (GN-CBT; Epstein et al., 2018). The current study examined whether putative mechanisms of change differed between treatment conditions, using a novel statistical approach. Both treatments were hypothesized to work by increasing use of alcohol-related coping skills (coping) and confidence to abstain from drinking (confidence), but FS-CBT additionally targeted female-salient mechanisms: anxiety, depression, sociotropy (i.e., overinvestment in others' opinion of oneself), autonomy, and social networks supportive of abstinence. Method: Ninety-nine women with AUD (55 in GN-CBT, 44 in FS-CBT) completed self-report assessments at baseline and 0, 6, and 12 months posttreatment. Multilevel vector autoregression estimation was used to analyze associations between putative mechanisms of change, and network models of those associations were generated using network analysis. Results: Across conditions, higher confidence and coping were directly associated with less drinking; autonomy was directly and indirectly associated with drinking. Additionally, network analysis indicated that although variation in depression was associated with change in other variables specifically for GN-CBT, sociotropy was associated with change specifically in FS-CBT. Conclusions: Women receiving CBT-AUD changed their drinking through increased confidence to abstain and greater use of coping skills. Autonomy played a central role in behavior change across treatment conditions. Participants receiving treatment tailored to women also changed through decreases in sociotropy and increases in social support for abstinence. For women who received standard CBT, changes in depression were important to clinical improvement. What is the public health significance of this article?: This study examined the mechanisms that lead to behavior change among women receiving female-specific and gender-neutral cognitive–behavioral therapy for alcohol use disorder (AUD), using a novel statistical approach. Results support and extend previous research findings by (a) demonstrating that increasing a woman's self-confidence to avoid drinking and increasing her use of alcohol-related coping skills is central to change in AUD treatment, (b) demonstrating the importance of personal autonomy as an additional mechanism of change in treating women's AUD, and (c) showing that the two treatment conditions led to improvements via both overlapping and divergent mechanisms. [ABSTRACT FROM AUTHOR]

Research exploring American Indian (AI) youth drinking motives and their relation to negative outcomes is critical due to higher rates of alcohol use and early exposure to intoxication in the population. The purpose of this study is to explore classes of drinking motives as they relate to heavy episodic drinking, perceived discrimination, religious importance, ethnic identity, and ethnic pride. This study is part of an ongoing epidemiologic and etiologic investigation of substance use among AI youth drinkers living on or near reservations (n = 1,934, Mage = 15.31). A latent class analysis (LCA) was conducted to discern latent classes of drinking motives. Once latent classes were identified, differences in perceived discrimination, ethnic pride, ethnic identity, religious importance, and heavy episodic drinking were tested. A 2-class solution provided the best overall model fit to the data. The higher coping and enhancement motive class was associated with significantly greater heavy episodic drinking, perceived discrimination, and ethnic identity compared with the low motive class. Further, the class structure did not differ between 7th and 8th graders and 9th-12th graders. Results indicate that among AI youth, the class with strong motives to drink for coping or enhancement had higher ethnic identity, greater risk of heavy episodic drinking, and greater perceived discrimination compared with the class with low motives. Future research should examine additional factors and stressors that may be associated with these classes of drinking motives and are unique to the AI population. (PsycINFO Database Record (c) 2019 APA, all rights reserved). [ABSTRACT FROM AUTHOR]

Abstinence from alcohol is often considered a critical element of recovery from alcohol use disorder. Yet, low risk drinking may be more desirable for some patients. There is mixed literature on whether low risk drinking is achievable and stable. Low risk drinking outcomes during treatment and outcomes 3 years after treatment were examined using data from the outpatient arm in Project MATCH (n = 877). Drinking outcomes were defined by repeated measures latent class analysis of weekly abstinence, low risk drinking days (<4/5 drinks for women/men), and heavy drinking days (≥4/5 drinks for women/men) during 12 weeks of treatment. Functioning outcome measures included psychosocial functioning, alcohol use, and alcohol-related consequences. Mixture modeling was used to examine the association between drinking classes and functioning outcomes. We identified 7 classes based on drinking during treatment: persistent heavy drinking, abstinence to heavy drinking, abstinence and heavy drinking, heavy drinking to mostly abstinent, low risk and heavy drinking, abstinence and low risk drinking, and abstinence. As compared with heavier drinkers, individuals who achieved mostly abstinence or low risk drinking, even with some heavy drinking episodes during treatment, had significant improvements in alcohol use, alcohol-related consequences, and psychosocial functioning 3 years after treatment. Those who were mostly abstinent or engaged in low risk drinking during treatment did not differ on any outcomes at 3 years after treatment. Findings indicate that low risk drinking is achievable for some individuals during treatment and that improvement in functioning among low risk drinkers can be observed at 3 years after treatment. (PsycINFO Database Record [ABSTRACT FROM AUTHOR]

This study compared Female-Specific Cognitive Behavioral Therapy (FS-CBT) to evidence-based, gender-neutral CBT (GN-CBT; Epstein & McCrady, 2009) for women with alcohol use disorder (AUD). Women (N = 99) with AUD, mean age 48, were randomly assigned to 12 outpatient manual-guided sessions of FS-CBT (n = 44) or GN-CBT (n = 55). Women were assessed at baseline and 3, 9 and 15 months after baseline for drinking and for specific issues common among women with AUD. A FS-CBT protocol was developed that was discriminable on treatment integrity ratings from GN-CBT. No treatment condition differences were found in treatment engagement, changes in drinking, alcohol-related coping, abstinence self-efficacy, motivation to change, or constructs directly targeted in FS-CBT (sociotropy, autonomy, depression, anxiety). Women in both conditions were highly engaged and satisfied with treatment, and reported significant reductions in drinking and changes in desired directions for all other variables except social support for abstinence. In the year following treatment, women in the FS-CBT but not in the CBT condition reported an increase in percentage of abstainers in their social networks (0.69% per month, SE = 0.21, p = .002). The value and appeal of female-specific programming in AUD treatment has been established in the wider literature (Epstein & Menges, 2013), and the current study provides support for the use of the Female-Specific Cognitive Behavioral Therapy (FS-CBT) manual as an option that may yield outcomes similar to standard gender-neutral CBT for women with AUD. Future research should examine whether FS-CBT enhances treatment utilization for women. (PsycINFO Database Record [ABSTRACT FROM AUTHOR]

Adolescent drinking influences, and is influenced by, peer alcohol use. Several efficacious adolescent alcohol interventions include elements aimed at reducing susceptibility to peer influence. Modeling these interventions within dynamically changing social networks may improve our understanding of how such interventions work and for whom they work best. We used stochastic actor-based models to simulate longitudinal drinking and friendship formation within social networks using parameters obtained from a meta-analysis of real-world 10th grade adolescent social networks. Levels of social influence (i.e., friends affecting changes in one's drinking) and social selection (i.e., drinking affecting changes in one's friendships) were manipulated at several levels, which directly impacted the degree of clustering in friendships based on similarity in drinking behavior. Midway through each simulation, one randomly selected heavy-drinking actor from each network received an "intervention" that either (a) reduced their susceptibility to social influence, (b) reduced their susceptibility to social selection, (c) eliminated a friendship with a heavy drinker, or (d) initiated a friendship with a nondrinker. Only the intervention that eliminated targeted actors' susceptibility to social influence consistently reduced that actor's drinking. Moreover, this was only effective in networks with social influence and social selection that were at higher levels than what was found in the real-world reference study. Social influence and social selection are dynamic processes that can lead to complex systems that may moderate the effectiveness of network-based interventions. Interventions that reduce susceptibility to social influence may be most effective among adolescents with high susceptibility to social influence and heavier-drinking friends. (PsycINFO Database Record [ABSTRACT FROM AUTHOR]

The Important People instrument (IP; Longabaugh et al., 2010) is one of the most commonly used measures of social network drinking. Although its reliability and validity are well-supported, the length of the instrument may limit its use in many settings. The present study evaluated whether a briefer, 5-person version of the IP (IP-5) adequately reproduces scores from the full IP. College freshmen (N = 1,053) reported their own past-month drinking, alcohol-related consequences, and information about drinking in their close social networks at baseline and 1 year later. From this we derived network members' drinking frequency, percentage of drinkers, and percentage of heavy drinkers, assessed for up to 10 (full IP) or 5 (IP-5) network members. We first modeled the expected concordance between full-IP scores and scores from simulated shorter IP instruments by sampling smaller subsets of network members from full IP data. Then, using quasi-experimental methods, we administered the full IP and IP-5 and compared the 2 instruments' score distributions and concurrent and year-lagged associations with participants' alcohol consumption and consequences. Most of the full-IP variance was reproduced from simulated shorter versions of the IP (ICCs ≥ 0.80). The full IP and IP-5 yielded similar score distributions, concurrent associations with drinking (r = 0.22 to 0.52), and year-lagged associations with drinking. The IP-5 retains most of the information about social network drinking from the full IP. The shorter instrument may be useful in clinical and research settings that require frequent measure administration, yielding greater temporal resolution for monitoring social network drinking. (PsycINFO Database Record [ABSTRACT FROM AUTHOR]

Couple therapy for women with alcohol use disorders (AUDs) yields positive drinking outcomes, but many women prefer individual to conjoint treatment. The present study compared conjoint cognitive-behavioral therapy (CBT) for women with AUDs to a blend of individual and conjoint therapy. Participants were 59 women with AUDs (95% Caucasian, mean age = 46 years) and their male partners randomly assigned to 12 sessions of Alcohol Behavioral Couple Therapy (ABCT) or to a blend of 5 individual CBT sessions and 7 sessions of ABCT (Blended-ABCT). Drinking and relationship satisfaction were assessed during and for 1-year posttreatment. Treatment conditions did not differ significantly on number of treatment sessions attended, percentage of drinking days (PDD), or percentage of heavy drinking days (PDH), during or in the 12 months following treatment. However, effect size estimates suggested a small to moderate effect of Blended-ABCT over ABCT in number of treatment sessions attended (d = -.41), and first- and second-half within treatment PDD (d = -.41, d = -.28), and PDH (d = -.46, d = -.38). Moderator analyses found that women lower in baseline sociotropy had lower PDH across treatment weeks 1-8 than in Blended-ABCT than ABCT and that women lower in self-efficacy had lower PDH during follow-up in Blended-ABCT than in ABCT. The 2 treatment groups did not differ significantly in within-treatment or posttreatment relationship satisfaction. Results suggest that blending individual and conjoint treatment yields similar or slightly better outcomes than ABCT, is responsive to women's expressed desire for individual sessions as part of their treatment, and decreases the challenges of scheduling conjoint sessions. (PsycINFO Database Record [ABSTRACT FROM AUTHOR]

Behavioral coding is increasingly used for studying mechanisms of change in psychosocial treatments for substance use disorders (SUDs). However, behavioral coding data typically include features that can be problematic in regression analyses, including measurement error in independent variables, non normal distributions of count outcome variables, and conflation of predictor and outcome variables with third variables, such as session length. Methodological research in econometrics has shown that these issues can lead to biased parameter estimates, inaccurate standard errors, and increased Type I and Type II error rates, yet these statistical issues are not widely known within SUD treatment research, or more generally, within psychotherapy coding research. Using minimally technical language intended for a broad audience of SUD treatment researchers, the present paper illustrates the nature in which these data issues are problematic. We draw on real-world data and simulation-based examples to illustrate how these data features can bias estimation of parameters and interpretation of models. A weighted negative binomial regression is introduced as an alternative to ordinary linear regression that appropriately addresses the data characteristics common to SUD treatment behavioral coding data. We conclude by demonstrating how to use and interpret these models with data from a study of motivational interviewing. SPSS and R syntax for weighted negative binomial regression models is included in online supplemental materials. [ABSTRACT FROM AUTHOR]

The article offers information on a research related to psychometric properties of the Important People Instrument (IPI) with the college student drinkers. It mentions that alcohol use in college students have been linked to students' social networks and the IPI is the reliability and validity of one of the most common measures for assessing alcohol-specific social support. It mentions that IPI could provide reliable information about network drinking behavior and support for drinking.

Objective: Practitioner attitudes regarding the nature of psychosis and prospects of recovery are important targets in supervision and training of practitioners who work therapeutically with this population. The 19-item Psychosis Attitudes Scale (PAS) was developed as a way to monitor changes in psychosis-related attitudes among practitioners being trained in an Evidence Based Treatment (EBT) for psychosis. This study reports the development and underlying factor structure of the PAS. Method: Three hundred twenty-five community mental health clinicians completed the PAS following a Cognitive Behavioral Therapy for psychosis (CBTp) multiday workshop training. We conducted an exploratory factor analysis to investigate the underlying structure of the initial set of items. Results: Our analyses suggest that the PAS taps into four attitude groupings, which can be conceptualized as perceived confidence in working with individuals with psychosis (Factor 1), a recovery orientation (Factor 2), expectations of fulfillment (Factor 3), and a stress-vulnerability orientation (Factor 4). Conclusions and Implications for Practice: Factors 1 and 3 appear to tap into general themes relevant to training practitioners in an evidence-based psychotherapeutic intervention for psychosis. Factors 2 and 4 are consistent with guiding principles of high-fidelity CBTp. At the individual level, practitioner attitudes have implications for training retention and treatment delivery. At the organizational level, the collective attitudes of staff in a given setting may serve as an indicator of readiness for EBT for psychosis implementation. Impact and Implications: The Psychosis Attitudes Scale (PAS) appears to tap into practitioner's self-confidence in working with individuals with psychosis, recovery orientation, expectations of professional fulfillment, and adoption of a stress-vulnerability framework for conceptualizing psychosis risk. As these themes are relevant to competent delivery of Cognitive Behavioral Therapy for psychosis (CBTp), the PAS appears to have utility as a process measure for training and supervising practitioners who work therapeutically with individuals with psychosis. [ABSTRACT FROM AUTHOR]

Empathy is a well-defined active ingredient in clinical encounters. To measure empathy, the current gold standard is behavioral coding (i.e., trained coders attribute overall ratings of empathy to clinician behaviors within an encounter), which is labor intensive and subject to important reliability challenges. Recently, an alternative measurement has been proposed: capturing empathy as synchrony in vocally encoded arousal, which can be measured as the mean fundamental frequency of the voice (mean F0). This method has received preliminary support by one study (Imel, Barco, et al., 2014). We aimed to replicate this study by using 2 large samples of clinical interactions (alcohol brief motivational interventions with young adults, N = 208; general practice consultations, N = 204). Audio files were segmented to identify respective speakers and mean F0 was measured using speech signal processing software. All sessions were independently rated by behavioral coders using 2 validated empathy scales. Synchrony between clinician and patient F0 was analyzed using multivariate multilevel models and compared with high and low levels of empathy derived from behavioral coding. Findings showed no support for our hypothesis that mean F0 synchrony between clinicians and patients would be higher in high-empathy sessions. This lack of replication was consistent for both clinical samples, both behavioral coding instruments, and using measures of F0 synchrony occurring at both the session-level and minute-level. We considered differences in culture and language, patients' characteristics, and setting as explanations for this failure to replicate. Further replication testing and new developments regarding measurement methods and modeling are needed. [ABSTRACT FROM AUTHOR]

Since the Boulder conference more than 50 years ago, clinical psychology has been moving toward empirically-based techniques and methods. Considerable research has been conducted and a multitude of studies have documented support for empirically-supported treatments (ESTs). However, the literature on implementing ESTs in real-world settings is relatively limited. The absence of practical guidance poses a particular problem for students in clinical psychology training programs that emphasize training and competency in ESTs. This article describes the development of an alcohol specialty clinic within a clinical psychology training program from the first conceptualizations to establishment of a referral base and provision of services. At each step, integration of science and clinical practice is discussed. Future directions and suggestions for developing training clinics are provided. [ABSTRACT FROM AUTHOR]