Misperceptions and the Misused Language of Addiction: Words Matter

Despite recognition of addiction as a health condition, terminology used in both layperson and scientific publications is often inaccurate and stigmatizing. National and international efforts are now afoot to encourage the use of terminology that can improve accuracy, reduce stigma, and even improve care. Dr. Richard Saitz from the Boston University School of Public Health will discuss the rationale for terms that should and should not be preferred

Primary Care Validation of a Single-Question Alcohol Screening Test

BACKGROUND Unhealthy alcohol use is prevalent but under-diagnosed in primary care settings. OBJECTIVE To validate, in primary care, a single-item screening test for unhealthy alcohol use recommended by the National Institute on Alcohol Abuse and Alcoholism (NIAAA). DESIGN Cross-sectional study. PARTICIPANTS Adult English-speaking patients recruited from primary care waiting rooms. MEASUREMENTS Participants were asked the single screening question, "How many times in the past year have you had X or more drinks in a day?", where X is 5 for men and 4 for women, and a response of >1 is considered positive. Unhealthy alcohol use was defined as the presence of an alcohol use disorder, as determined by a standardized diagnostic interview, or risky consumption, as determined using a validated 30-day calendar method. MAIN RESULTS Of 394 eligible primary care patients, 286 (73%) completed the interview. The single-question screen was 81.8% sensitive (95% confidence interval (CI) 72.5% to 88.5%) and 79.3% specific (95% CI 73.1% to 84.4%) for the detection of unhealthy alcohol use. It was slightly more sensitive (87.9%, 95% CI 72.7% to 95.2%) but was less specific (66.8%, 95% CI 60.8% to 72.3%) for the detection of a current alcohol use disorder. Test characteristics were similar to that of a commonly used three-item screen, and were affected very little by subject demographic characteristics. CONCLUSIONS. The single screening question recommended by the NIAAA accurately identified unhealthy alcohol use in this sample of primary care patients. These findings support the use of this brief screen in primary care.National Institute on Alcohol Abuse and Alcoholism (R01-AA010870

Improvements in readiness to change and drinking in primary care patients with unhealthy alcohol use: a prospective study.

BACKGROUND: The course of alcohol consumption and cognitive dimensions of behavior change (readiness to change, importance of changing and confidence in ability to change) in primary care patients are not well described. The objective of the study was to determine changes in readiness, importance and confidence after a primary care visit, and 6-month improvements in both drinking and cognitive dimensions of behavior change, in patients with unhealthy alcohol use. METHODS: Prospective cohort study of patients with unhealthy alcohol use visiting primary care physicians, with repeated assessments of readiness, importance, and confidence (visual analogue scale (VAS), score range 1-10 points). Improvements 6 months later were defined as no unhealthy alcohol use or any increase in readiness, importance, or confidence. Regression models accounted for clustering by physician and adjusted for demographics, alcohol consumption and related problems, and discussion with the physician about alcohol. RESULTS: From before to immediately after the primary care physician visit, patients (n = 173) had increases in readiness (mean +1.0 point), importance (+0.2), and confidence (+0.5) (all p < 0.002). In adjusted models, discussion with the physician about alcohol was associated with increased readiness (+0.8, p = 0.04). At 6 months, many participants had improvements in drinking or readiness (62%), drinking or importance (58%), or drinking or confidence (56%). CONCLUSION: Readiness, importance and confidence improve in many patients with unhealthy alcohol use immediately after a primary care visit. Six months after a visit, most patients have improvements in either drinking or these cognitive dimensions of behavior change

Development of a tailored, telehealth intervention to address chronic pain and heavy drinking among people with HIV infection: integrating perspectives of patients in HIV care.

BACKGROUND: Chronic pain and heavy drinking commonly co-occur and can infuence the course of HIV. There have been no interventions designed to address both of these conditions among people living with HIV (PLWH), and none that have used telehealth methods. The purpose of this study was to better understand pain symptoms, patterns of alcohol use, treatment experiences, and technology use among PLWH in order to tailor a telehealth intervention that addresses these conditions SUBJECTS: Ten participants with moderate or greater chronic pain and heavy drinking were recruited from a cohort of patients engaged in HIV-care (Boston Alcohol Research Collaborative on HIV/AIDS Cohort) and from an integrated HIV/primary care clinic at a large urban hospital. METHODS: One-on-one interviews were conducted with participants to understand experiences and treatment of HIV, chronic pain, and alcohol use. Participants’ perceptions of the infuence of alcohol on HIV and chronic pain were explored as was motivation to change drinking. Technology use and treatment preferences were examined in the fnal section of the interview. Interviews were recorded, transcribed and uploaded into NVivo® v12 software for analysis. A codebook was developed based on interviews followed by thematic analysis in which specifc meanings were assigned to codes. RESULTS: A number of themes were identifed that had implications for intervention tailoring including: resilience in coping with HIV; autonomy in health care decision-making; coping with pain, stress, and emotion; understanding treatment rationale; depression and social withdrawal; motives to drink and refrain from drinking; technology use and capacity; and preference for intervention structure and style. Ratings of intervention components indicated that participants viewed each of the proposed intervention content areas as “helpful” to “very helpful”. Videoconferencing was viewed as an acceptable modality for intervention delivery CONCLUSIONS: Results helped specify treatment targets and provided information about how to enhance intervention delivery. The interviews supported the view that videoconferencing is an acceptable telehealth method of addressing chronic pain and heavy drinking among PLWH.UH2 AA026192 - NIAAA NIH HHSPublished versio

Factors Associated with Favorable Drinking Outcome 12Months After Hospitalization in a Prospective Cohort Study of Inpatients with Unhealthy Alcohol Use

BACKGROUND: Prevalence of unhealthy alcohol use among medical inpatients is high. OBJECTIVE: To characterize the course and outcomes of unhealthy alcohol use, and factors associated with these outcomes. DESIGN: Prospective cohort study. PARTICIPANTS: A total of 287 medical inpatients with unhealthy alcohol use. MAIN MEASURES: At baseline and 12months later, consumption and alcohol-related consequences were assessed. The outcome of interest was a favorable drinking outcome at 12months (abstinence or drinking "moderate” amounts without consequences). The independent variables evaluated included demographics, physical/sexual abuse, drug use, depressive symptoms, alcohol dependence, commitment to change (Taking Action), spending time with heavy-drinking friends and receipt of alcohol treatment (after hospitalization). Adjusted regression models were used to evaluate factors associated with a favorable outcome. KEY RESULTS: Thirty-three percent had a favorable drinking outcome 1 year later. Not spending time with heavy-drinking friends [adjusted odds ratio (AOR) 2.14, 95% CI: 1.14-4.00] and receipt of alcohol treatment [AOR (95% CI): 2.16(1.20-3.87)] were associated with a favorable outcome. Compared to the first quartile (lowest level) of Taking Action, subjects in the second, third and highest quartiles had higher odds of a favorable outcome [AOR (95% CI): 3.65 (1.47, 9.02), 3.39 (1.38, 8.31) and 6.76 (2.74, 16.67)]. CONCLUSIONS: Although most medical inpatients with unhealthy alcohol use continue drinking at-risk amounts and/or have alcohol-related consequences, one third are abstinent or drink "moderate” amounts without consequences 1 year later. Not spending time with heavy-drinking friends, receipt of alcohol treatment and commitment to change are associated with this favorable outcome. This can inform efforts to address unhealthy alcohol use among patients who often do not seek specialty treatmen

A cautionary note regarding count models of alcohol consumption in randomized controlled trials

BACKGROUND: Alcohol consumption is commonly used as a primary outcome in randomized alcohol treatment studies. The distribution of alcohol consumption is highly skewed, particularly in subjects with alcohol dependence. METHODS: In this paper, we will consider the use of count models for outcomes in a randomized clinical trial setting. These include the Poisson, over-dispersed Poisson, negative binomial, zero-inflated Poisson and zero-inflated negative binomial. We compare the Type-I error rate of these methods in a series of simulation studies of a randomized clinical trial, and apply the methods to the ASAP (Addressing the Spectrum of Alcohol Problems) trial. RESULTS: Standard Poisson models provide a poor fit for alcohol consumption data from our motivating example, and did not preserve Type-I error rates for the randomized group comparison when the true distribution was over-dispersed Poisson. For the ASAP trial, where the distribution of alcohol consumption featured extensive over-dispersion, there was little indication of significant randomization group differences, except when the standard Poisson model was fit. CONCLUSION: As with any analysis, it is important to choose appropriate statistical models. In simulation studies and in the motivating example, the standard Poisson was not robust when fit to over-dispersed count data, and did not maintain the appropriate Type-I error rate. To appropriately model alcohol consumption, more flexible count models should be routinely employed

Conoscenza delle variabili macroeconomiche e percezione del benessere: un'indagine condotta sugli studenti di economia.

Conoscenza delle variabili macroeconomiche e percezione del benessere: un'indagine condotta sugli studenti di economia. Gli indicatori economici sono utilizzati per valutare la qualità della vita della società. Oggi, questi indicatori sono costantemente in fase di ri-elaborazione. Infatti alcuni indicatori macroeconomici non tengono conto che il benessere è influenzato non solo da scelte razionali- assunte dalla teoria economica classica- ma anche da una serie di fattori che possono essere spiegati attraverso la psicologia comportamentale. La commissione per la misurazione del benessere economico e sociale, guidata da Stiglitz, Sen e Fitoussi e l'iniziativa condotta da CNEL-ISTAT per misurare il benessere equo e sostenibile in Italia hanno individuato alcune variabili che, a seconda della loro percezione soggettiva, influenzano la sensazione di benessere e concorrono a creare un clima di pessimismo o ottimismo. Tale clima porta, talvolta, a sottostimare o sovrastimare anche la conoscenza delle variabili macroeconomiche. Sono stati quindi individuati dei “domini” o sfere del benessere, la cui percezione da parte del singolo porta a una diversa valutazione della qualità della propria vita. Nella prima settimana del mese di Febbraio 2014 è stata condotta un'indagine statistica sulla conoscenza che gli studenti del Dipartimento di Economia e Management dell'Università di Pisa hanno del PIL, della disoccupazione e dell'inflazione. L'indagine è stata svolta mediante l'autocompilazione di un questionario. L'iniziativa ha seguito il modello dell'indagine ISTAT relativa alla conoscenza delle variabili macroeconomiche da parte dei consumatori italiani, i mezzi di informazione utilizzati e la qualità delle informazioni diffuse da questi ultimi. Il 90% del campione ritiene importante la conoscenza delle variabili macroeconomiche selezionate, e crede che essa avrà un'influenza sulle scelte future personali. Tuttavia, i dati raccolti mostrano una scarsa conoscenza della variazione annuale del PIL e dell'inflazione, mentre è maggiore la sensibilità rispetto al tasso di disoccupazione (probabilmente a causa del periodo di crisi attraversato dal Paese negli ultimi anni). I risultati più evidenti sono che dal passaggio a un corso di laurea triennale a uno magistrale si ha una maggiore coscienza delle variabili macroeconomiche (poiché non in tutte le risposte fornite il valore indicato corrisponde al valore corretto), che le donne sono più pessimiste in vista di un futuro lavorativo e che chi tende a sovrastimare la variazione annuale del PIL tende a fornire un valore più elevato per il tasso di disoccupazione registrato al momento dell'indagine. Infine sono stati riproposti agli intervistati alcuni dei “domini” individuati dagli studi sopracitati, quali: prosperità economica, salute, relazioni sociali e partecipazione politica. I dati confermano che, per gli intervistati, questi domini sono indispensabili e necessari al fine di incrementare il benessere percepito

How Accurate Are Blood (or Breath) Tests for Identifying Self-Reported Heavy Drinking Among People with Alcohol Dependence?

AIMS: Managing patients with alcohol dependence includes assessment for heavy drinking, typically by asking patients. Some recommend biomarkers to detect heavy drinking but evidence of accuracy is limited. METHODS: Among people with dependence, we assessed the performance of disialo-carbohydrate-deficient transferrin (%dCDT, ≥1.7%), gamma-glutamyltransferase (GGT, ≥66 U/l), either %dCDT or GGT positive, and breath alcohol (> 0) for identifying 3 self-reported heavy drinking levels: any heavy drinking (≥4 drinks/day or >7 drinks/week for women, ≥5 drinks/day or >14 drinks/week for men), recurrent (≥5 drinks/day on ≥5 days) and persistent heavy drinking (≥5 drinks/day on ≥7 consecutive days). Subjects (n = 402) with dependence and current heavy drinking were referred to primary care and assessed 6 months later with biomarkers and validated self-reported calendar method assessment of past 30-day alcohol use. RESULTS: The self-reported prevalence of any, recurrent and persistent heavy drinking was 54, 34 and 17%. Sensitivity of %dCDT for detecting any, recurrent and persistent self-reported heavy drinking was 41, 53 and 66%. Specificity was 96, 90 and 84%, respectively. %dCDT had higher sensitivity than GGT and breath test for each alcohol use level but was not adequately sensitive to detect heavy drinking (missing 34-59% of the cases). Either %dCDT or GGT positive improved sensitivity but not to satisfactory levels, and specificity decreased. Neither a breath test nor GGT was sufficiently sensitive (both tests missed 70-80% of cases). CONCLUSIONS: Although biomarkers may provide some useful information, their sensitivity is low the incremental value over self-report in clinical settings is questionable