Gail L. Rose

Drinking and stress: An examination of sex and stressor differences using IVR-based daily data

BACKGROUND Research on the relation of stress to alcohol consumption is inconsistent regarding the direction of effects, and this association has been shown to vary by sex and type of stress. We sought to build upon the stress-drinking literature by examining the direction of the stress-drinking association over time as well as sex and stressor differences using daily data. METHOD 246 heavy drinking adults (67% men) aged 21-82 reported daily stress levels and alcohol consumption over 180 days using Interactive Voice Response (IVR). Baseline daily hassles were examined as an alternative measure of stress. Generalized estimating equations (GEEs) were conducted to test the stress-drinking association accounting for alcohol dependency at baseline and sex and stressor type as moderators. RESULTS IVR daily stress predicted increased alcohol consumption the following day, whereas baseline level of daily hassles did not. Examining the opposite direction of effects, IVR ratings of daily alcohol consumption predicted decreased next-day stress. Stress predicted higher alcohol consumption the next day for men but there was no significant association for women. For both sexes, drinking predicted decreased stress the next day, but this effect was stronger for women. CONCLUSIONS This study generally supported the drinking to cope and self-medication hypotheses, with findings that increased stress led to increased drinking. The time-varying relation between stress and alcohol appears to be sex- and measure-specific, however. Therefore, interventions targeted at stress management found to be effective for one sex should not be presumed to be applicable to the other.

Interactive Voice Response Technology Can Deliver Alcohol Screening and Brief Intervention in Primary Care

BACKGROUNDAlcohol screening and brief intervention (BI) is an effective primary care preventive service, but implementation rates are low. Automating BI using interactive voice response (IVR) may be an efficient way to expand patient access to needed information and advice.OBJECTIVETo develop IVR-based BI and pilot test it for feasibility and acceptability.DESIGNSingle-group pre-post feasibility study.PARTICIPANTSPrimary care patients presenting for an office visit.INTERVENTIONSIVR-BI structured to correspond to the provider BI method recommended by NIAAA: (1) Ask about use; (2) Assess problems; (3) Advise and Assist for change, and (4) Follow up for continued support. Advice was tailored to patient readiness and preferences.MEASUREMENTSUtilization rate, call duration, and patients’ subjective reports of usefulness, comfort and honesty with the IVR-BI. Pre-post evaluation of motivation to change and change in alcohol consumption as measured by Timeline Follow Back.RESULTSCall duration ranged from 3–7 minutes. Subjective reactions were generally positive or neutral. About 40% of subjects indicated IVR-BI had motivated them to change. About half of the patients had discussed drinking with their provider at the visit. These tended to be heavier drinkers with greater concerns about drinking. Patients who reported a provider-delivered BI and called the IVR-BI endorsed greater comfort and honesty with the IVR-BI. On average, a 25% reduction in alcohol use was reported two weeks after the clinic visit.CONCLUSIONSUsing IVR technology to deliver BI in a primary care setting is feasible and data suggest potential for efficacy in a larger trial.

Do former smokers respond to nicotine differently from never smokers ? A pilot study

Nine former, 11 never, and 10 current smokers abstained from smoking for 16 h on each of 4 days. On each of 3 days, participants received three doses per day of 0-, 2-, or 4-mg nicotine gum in a randomized, double-blind, crossover design. To examine subjective effects, participants completed the POMS, ARCI, and other ratings before and after each dose. To examine nicotine reinforcement, participants reported preferences among the gums, reported gum vs. money choices plus, on a fourth day, underwent a double-blind self-administration test. Former and never smokers did not differ on any of the subjective or reinforcement outcomes. Current smokers did prefer and self-administer more nicotine than former and never smokers. These results contradict our prior finding that former and never smokers differ in their response to nicotine. We consider the present study a more valid test than our prior study for reasons outlined in the discussion. Our results fail to confirm theories that those destined to be smokers are more or less sensitive to nicotine and that nicotine use causes irreversible brain changes that increase nicotine reinforcement.

Interactive Voice Response for Relapse Prevention Following Cognitive-Behavioral Therapy for Alcohol Use Disorders: A Pilot Study

Relapse after alcoholism treatment is high. Alcohol Therapeutic Interactive Voice Response (ATIVR) is an automated telephone program for posttreatment self-monitoring, skills practice, and feedback. This pilot study examined feasibility of ATIVR. Participants (n = 21; 57% male) had access to ATIVR for 90 days following outpatient group cognitive-behavioral therapy (CBT) to make daily reports of mood, confidence in sobriety, urges to use substances, and actual use. Reports of relapse or risk were followed with additional questions. Participants received personalized therapist feedback based on responses, and could access recorded CBT skill reviews. Pre-post assessments included: alcohol consumption (Timeline Follow-Back), self-efficacy (Situational Confidence Questionnaire), and perceived coping ability (Effectiveness of Coping Behaviors Inventory). Participants called on 59% of scheduled days and continued making calls for an average of 84 days. Following ATIVR, participants gave feedback that ATIVR was easy to use and increased self-awareness. Participants particularly liked the therapist feedback component. Abstinence rate increased significantly during ATIVR (p = .03), and both self-efficacy and coping significantly improved from pre-CBT to post-ATIVR (p < .01). Results indicate ATIVR is feasible and acceptable. Its efficacy should be evaluated in a randomized controlled trial.

Efficacy of automated telephone continuing care following outpatient therapy for alcohol dependence

BACKGROUND Relapse rates following cognitive behavioral therapy (CBT) for alcohol dependence are high. Continuing care programs can prolong therapeutic effects but are underutilized. Thus, there is need to explore options having greater accessibility. METHODS This randomized controlled trial tested the efficacy of a novel, fully automated continuing care program, Alcohol Therapeutic Interactive Voice Response (ATIVR). ATIVR enables daily monitoring of alcohol consumption and associated variables, offers targeted feedback, and facilitates use of coping skills. Upon completing 12weeks of group CBT for alcohol dependence, participants were randomly assigned to either four months of ATIVR (n=81) or usual care (n=77). Drinking behavior was assessed pre- and post-CBT, then at 2weeks, 2months, 4months, and 12months post-randomization. RESULTS Drinking days per week increased over time for the control group but not the intervention group. There were no significant differences between groups on the other alcohol-related outcome measures. Comparisons on the subset of participants abstinent at the end of CBT (n=72) showed higher rates of continuous abstinence in the experimental group. Effect sizes for the other outcome variables were moderate but not significant in this subgroup. CONCLUSIONS For continuing care, ATIVR shows some promise as a tool that may help clients maintain gains achieved during outpatient treatment. However, ATIVR may not be adequate for clients who have not achieved treatment goals at the time of discharge.

Alcohol, moods and male-female differences: daily interactive voice response over 6 months

AIMS The goal of this study was to better understand the predictive relationship in both directions between negative (anger, sadness) and positive (happiness) moods and alcohol consumption using daily process data among heavy drinkers. METHODS Longitudinal daily reports of moods, alcohol use and other covariates such as level of stress were assessed over 180 days using interactive voice response telephone technology. Participants were heavy drinkers (majority meeting criteria for alcohol dependence at baseline) recruited through their primary care provider. The sample included 246 (166 men, 80 women) mostly Caucasian adults. Longitudinal statistical models were used to explore the varying associations between number of alcoholic drinks and mood scores the next day and vice versa with gender as a moderator. RESULTS Increased alcohol use significantly predicted decreased happiness the next day (P < 0.005), more strongly for females than males. Increased anger predicted higher average alcohol use the next day for males only (P < 0.005). CONCLUSION This daily process study challenges the notion that alcohol use enhances positive mood for both males and females. Our findings also suggest a strong association between anger and alcohol use that is specific to males. Thus, discussions about the effects of drinking on ones feeling of happiness may be beneficial for males and females as well as anger interventions may be especially beneficial for heavy-drinking males.

Comparison of categorical alcohol dependence versus a dimensional measure for predicting weekly alcohol use in heavy drinkers

BACKGROUND The DSM specifies categorical criteria for psychiatric disorders. In contrast, a dimensional approach considers variability in symptom severity and can significantly improve statistical power. The current study tested whether a categorical, DSM-defined diagnosis of Alcohol Dependence (AD) was a better fit than a dimensional dependence measure for predicting change in alcohol consumption among heavy drinkers following a brief alcohol intervention (BI). DSM-IV and DSM-5 alcohol use disorder (AUD) measures were also evaluated. METHODS Participants (N=246) underwent a diagnostic interview after receiving a BI, then reported daily alcohol consumption using an Interactive Voice Response system. Dimensional AD was calculated by summing the dependence criteria (mean=4.0; SD=1.8). The dimensional AUD measure was a summation of positive Alcohol Abuse plus AD criteria (mean=5.8; SD=2.5). A multi-model inference technique was used to determine whether the DSM-IV categorical diagnosis or dimensional approach would provide a more accurate prediction of first week consumption and change in weekly alcohol consumption following a BI. RESULTS The Akaike information criterion (AIC) for the dimensional AD model (AIC=7625.09) was 3.42 points lower than the categorical model (AIC=7628.51) and weight of evidence calculations indicated there was 85% likelihood that the dimensional model was the better approximating model. Dimensional AUD models fit similarly to the dimensional AD model. All AUD models significantly predicted change in alcohol consumption (ps=.05). CONCLUSION A dimensional AUD diagnosis was superior for detecting treatment effects that were not apparent with categorical and dimensional AD models.

Assessing mentoring in organizations: an evaluation of commercial mentoring instruments

The purpose of this article is to inform readers about the types of instruments available for assessing and improving mentoring in organizations. Extensive review of the psychological, business and medical literature was conducted to identify commercially published, practitioner‐oriented instruments. All of the instruments that were identified – including the Alleman mentoring activities questionnaire, Mentoring in the moment, Mentoring skills assessment, and Principles of adult mentoring scale – are evaluated herein. Each instrument’s target audience, raters, subscales, response options, psychometric properties, and relative strengths and weaknesses are described. Although these instruments are reported to be used extensively, evidence of their validity is not always available. This review presents information that, in combination with first‐hand inspection of the instruments, should enable practitioners to differentiate between instruments that may be a fit for their needs from those that are not. Furthermore, it may introduce academic readers to instruments that are not covered in the scholarly literature in spite of their common use for non‐research purposes.

A Test of the DSM-5 Severity Scale for Alcohol Use Disorder

BACKGROUND For the DSM-5-defined alcohol use disorder (AUD) diagnosis, a tri-categorized scale that designates mild, moderate, and severe AUD was selected over a fully dimensional scale to represent AUD severity. The purpose of this study was to test whether the DSM-5-defined AUD severity measure was as proficient a predictor of alcohol use following a brief intervention, compared to a fully dimensional scale. METHODS Heavy drinking primary care patients (N=246) received a physician-delivered brief intervention (BI), and then reported daily alcohol consumption for six months using an Interactive Voice Response (IVR) system. The dimensional AUD measure we constructed was a summation of all AUD criteria met at baseline (mean=6.5; SD=2.5). A multi-model inference technique was used to determine whether the DSM-5 tri-categorized severity measure or a dimensional approach would provide a more precise prediction of change in weekly alcohol consumption following a BI. RESULTS The Akaike information criterion (AIC) for the dimensional AUD model (AIC=7623.88) was four points lower than the tri-categorized model (AIC=7627.88) and weight of evidence calculations indicated there was 88% likelihood the dimensional model was the better approximating model. The dimensional model significantly predicted change in alcohol consumption (p=.04) whereas the DSM-5 tri-categorized model did not. CONCLUSION A dimensional AUD measure was superior, detecting treatment effects that were not apparent with tri-categorized severity model as defined by the DSM-5. We recommend using a dimensional measure for determining AUD severity.

Imparting medical ethics: the role of mentorship in clinical training

Mentoring and ethics are integral and intersecting components of medical education. Faculty workloads and diffusion of responsibility for teaching impact both ethics and mentoring. In current academic medical center environments, the expectation that traditional one‐on‐one mentoring relationships will arise spontaneously between medical students and faculty may be unrealistic. Alternative curricula serve as examples for how to address mentoring and bioethics needs of medical students in the context of relationships with faculty and peers. To assess how ethics and mentoring affect students, faculty, and patient care, methods to monitor and evaluate their impact on student development and treatment outcomes are needed. We believe embedding and monitoring mentoring and ethics in the curriculum will facilitate the nurturance and welfare of medical students.