A machine learning model for the prediction of unhealthy alcohol use among women of childbearing age in Alabama

INTRODUCTION

This study utilizes a machine learning model to predict unhealthy alcohol use treatment levels among women of childbearing age.

METHODS

In this cross-sectional study, women of childbearing age (n = 2397) were screened for alcohol use over a 2-year period as part of the AL-SBIRT (screening, brief intervention, and referral to treatment in Alabama) program in three healthcare settings across Alabama for unhealthy alcohol use severity and depression. A support vector machine learning model was estimated to predict unhealthy alcohol use scores based on depression score and age.

RESULTS

The machine learning model was effective in predicting no intervention among patients with lower Patient Health Questionnaire (PHQ)-2 scores of any age, but a brief intervention among younger patients (aged 18-27 years) with PHQ-2 scores >3 and a referral to treatment for unhealthy alcohol use among older patients (between the ages of 25 and 50) with PHQ-2 scores >4.

CONCLUSIONS

The machine learning model can be an effective tool in predicting unhealthy alcohol use treatment levels and approaches.

Demographic differences in the cascade of care for unhealthy alcohol use: A cross-sectional analysis of data from the 2015-2019 National Survey on Drug Use and Health

BACKGROUND

The screening, brief intervention, and referral to treatment (SBIRT) model is recommended by the U.S. Preventive Services Task Force to improve recognition of and intervention for unhealthy alcohol use. How SBIRT implementation differs by demographic characteristics is poorly understood.

METHODS

We analyzed data from the 2015-2019 National Survey on Drug Use and Health from respondents ≥18 years old who used an outpatient clinic and had at least one alcoholic drink within the past year. Respondents were grouped into one of three mutually exclusive groups: "no binge drinking or alcohol use disorder (AUD)," "binge drinking without AUD," or "AUD." Outcome variables were likelihood of screening, brief intervention (BI), referral to treatment (RT), and AUD treatment. The demographic predictors on which outcomes were regressed included gender, age, race and ethnicity, sexual orientation, insurance status, and history of military involvement. Consistent with SBIRT guidelines, the entire sample was included in the screening model; screened persons with either binge drinking without AUD or with AUD were included in the BI model; screened persons with AUD were included in the RT model, and persons referred to treatment with AUD were included in the AUD treatment model.

RESULTS

Analyses included 120,804 respondents. Women were more likely than men to be screened, but less likely to receive BI or RT. When referred to treatment, women were more likely than men to receive it. Persons aged ≥50 were least likely to be screened about alcohol, but most likely to receive BI, while persons aged 18-25 were least likely to receive BI or AUD treatment. Racial and ethnic minorities were less likely than White persons to be screened; Asians were less likely to receive RT, and Black persons were less likely to receive treatment than White persons. Persons identifying as gay, lesbian, or bisexual were equally as likely or more likely to receive SBIRT or AUD treatment as those identifying as heterosexual. Persons without insurance were less likely to be screened than those with insurance. Persons with a history of military involvement were more likely to be screened and receive BI and RT than persons who had not served in the military.

CONCLUSIONS

Demographic disparities in SBIRT implementation exist. Addressing the sources of these disparities and minimizing attrition from care could improve outcomes for persons with unhealthy alcohol use.

Use of population health data to promote equitable recruitment for a primary care practice implementation trial addressing unhealthy alcohol use

Background

Recruiting underrepresented people and communities in research is essential for generalizable findings. Ensuring representative participants can be particularly challenging for practice-level dissemination and implementation trials. Novel use of real-world data about practices and the communities they serve could promote more equitable and inclusive recruitment.

Methods

We used a comprehensive primary care clinician and practice database, the Virginia All-Payers Claims Database, and the HealthLandscape Virginia mapping tool with community-level socio-ecological information to prospectively inform practice recruitment for a study to help primary care better screen and counsel for unhealthy alcohol use. Throughout recruitment, we measured how similar study practices were to primary care on average, mapped where practices' patients lived, and iteratively adapted our recruitment strategies.

Results

In response to practice and community data, we adapted our recruitment strategy three times; first leveraging relationships with residency graduates, then a health system and professional organization approach, followed by a community-targeted approach, and a concluding approach using all three approaches. We enrolled 76 practices whose patients live in 97.3% (1844 of 1907) of Virginia's census tracts. Our overall patient sample had similar demographics to the state for race (21.7% vs 20.0% Black), ethnicity (9.5% vs 10.2% Hispanic), insurance status (6.4% vs 8.0% uninsured), and education (26.0% vs 32.5% high school graduate or less). Each practice recruitment approach uniquely included different communities and patients.

Discussion

Data about primary care practices and the communities they serve can prospectively inform research recruitment of practices to yield more representative and inclusive patient cohorts for participation.

Testing a Screening, Brief Intervention, and Referral to Treatment Intervention Approach for Addressing Unhealthy Alcohol and Other Drug Use in Humanitarian Settings: Protocol of the Ukuundapwa Chapamo Randomised Controlled Trial

Refugees and other displaced persons are exposed to many risk factors for unhealthy alcohol and other drug (AOD) use and concomitant mental health problems. Evidence-based services for AOD use and mental health comorbidities are rarely available in humanitarian settings. In high income countries, screening, brief intervention and referral to treatment (SBIRT) systems can provide appropriate care for AOD use but have rarely been used in low- and middle-income countries and to our knowledge never tested in a humanitarian setting. This paper describes the protocol for a randomised controlled trial to compare the effectiveness of an SBIRT system featuring the Common Elements Treatment Approach (CETA) to treatment as usual in reducing unhealthy AOD use and mental health comorbidities among refugees from the Democratic Republic of the Congo and host community members in an integrated settlement in northern Zambia. The trial is an individually randomised, single-blind, parallel design with outcomes assessed at 6-months (primary) and 12-months post-baseline. Participants are Congolese refugees and Zambians in the host community, 15 years of age or older with unhealthy alcohol use. Outcomes are: unhealthy alcohol use (primary), other drug use, depression, anxiety and traumatic stress. The trial will explore SBIRT acceptability, appropriateness, cost-effectiveness, feasibility, and reach.

Alcohol Screening During US Primary Care Visits, 2014-2016

BACKGROUND

Unhealthy alcohol use is a significant health issue for the US population. The US Preventive Services Task Force (USPSTF) recommends screening adults 18 years or older for unhealthy alcohol use during primary care visits.

OBJECTIVES

To evaluate alcohol screening among ambulatory visits made by US adult primary care patients and identify characteristics predictive of alcohol screening.

DESIGN

A series of cross-sectional analysis of the National Ambulatory Medical Care Survey (NAMCS) data collected from 2014 to 2016 was used to examine US primary care providers' use of alcohol screening questionnaires and delivery of counseling on alcohol use.

PARTICIPANTS

A total of 19,213 visits made by patients aged 18 years or older to a US primary care physician trained in family medicine or internal medicine.

MAIN MEASURES

Administration of a validated alcohol screening questionnaire and counseling/education on alcohol use. Variation in alcohol screening by patient demographic characteristics, reason for office visit, length of office visit, chronic medical conditions, evaluation by assigned primary care physician, new patient to practice, and region.

KEY RESULTS

Alcohol screening with a validated questionnaire occurred during 2.6% (95% Cl: 0.9%, 4.3%) of visits. Alcohol counseling, provided either by the physician or by referral, was documented in 0.8% (95% Cl: 0.3%, 1.3%) of visits. Screening was significantly more likely if patients were seen by their assigned primary care physician (adjOR 4.38 (95% Cl: 1.41, 13.61)), a new patient to the practice (adjOR 4.18 (95% Cl: 2.30, 7.79)), or had several chronic medical conditions (adjOR 3.40 (95% Cl: 1.48, 7.78)). Patients' sex, race/ethnicity, age group, or length of appointment time was not associated with screening for unhealthy alcohol use.

CONCLUSIONS

Screening for unhealthy alcohol use using a validated questionnaire is uncommonly performed during US primary care visits. Interventions or incentives may be needed to increase uptake of USPSTF alcohol screening recommendations.

Perceived access to general and mental healthcare in primary care in Colombia during COVID-19: A cross-sectional study

Introduction

The COVID-19 pandemic has had an impact both in general and mental healthcare, challenged the health systems worldwide, and affected their capacity to deliver essential health services. We aimed to describe perceived changes in ease of access to general and mental healthcare among patients with a diagnosis of depression and/or unhealthy alcohol use in Colombia.

Methods

This study is embedded in the DIADA project, a multicenter implementation research study aimed at evaluating the integration of mental healthcare in primary care in Colombia. Between November 2020 and August 2021, we conducted a COVID-19 pandemic impact assessment in a cohort of participants with newly diagnosed depression and/or unhealthy alcohol use part of DIADA project. We assessed the ease of access and factors related to perceived ease of access to general or mental healthcare, during the COVID-19 pandemic.

Results

836 participants completed the COVID-19 pandemic impact assessment. About 30% of participants considered their mental health to be worse during the pandemic and 84.3% perceived access to general healthcare to be worse during the pandemic. Most of participants (85.8%) were unable to assess access to mental health services, but a significant proportion considered it to be worse. Experiencing worse ease of access to general healthcare was more frequent among women, patients with diagnosis of depression, and patients with comorbidities. Experiencing worse ease of access to mental healthcare was more frequent among patients aged between 30 and 49.9 years, from socioeconomic status between 4 and 6, affiliated to the contributive social security regime, attending urban study sites, and those who perceived their mental health was worse during the pandemic.

Discussion

Despite the overall perception of worse mental health during the pandemic, the use of mental healthcare was low compared to general healthcare. Ease of access was perceived to be worse compared to pre-pandemic. Ease of access and access were affected by geographical study site, socioeconomic status, age and gender. Our findings highlight the need for improved communication between patients and institutions, tailored strategies to adapt the healthcare provision to patients' characteristics, and continued efforts to strengthen the role of mental healthcare provision in primary care.

External validation of a machine learning classifier to identify unhealthy alcohol use in hospitalized patients

BACKGROUND AND AIMS

Unhealthy alcohol use (UAU) is one of the leading causes of global morbidity. A machine learning approach to alcohol screening could accelerate best practices when integrated into electronic health record (EHR) systems. This study aimed to validate externally a natural language processing (NLP) classifier developed at an independent medical center.

DESIGN

Retrospective cohort study.

SETTING

The site for validation was a midwestern United States tertiary-care, urban medical center that has an inpatient structured universal screening model for unhealthy substance use and an active addiction consult service.

PARTICIPANTS/CASES

Unplanned admissions of adult patients between October 23, 2017 and December 31, 2019, with EHR documentation of manual alcohol screening were included in the cohort (n = 57 605).

MEASUREMENTS

The Alcohol Use Disorders Identification Test (AUDIT) served as the reference standard. AUDIT scores ≥5 for females and ≥8 for males served as cases for UAU. To examine error in manual screening or under-reporting, a post hoc error analysis was conducted, reviewing discordance between the NLP classifier and AUDIT-derived reference. All clinical notes excluding the manual screening and AUDIT documentation from the EHR were included in the NLP analysis.

FINDINGS

Using clinical notes from the first 24 hours of each encounter, the NLP classifier demonstrated an area under the receiver operating characteristic curve (AUCROC) and precision-recall area under the curve (PRAUC) of 0.91 (95% CI = 0.89-0.92) and 0.56 (95% CI = 0.53-0.60), respectively. At the optimal cut point of 0.5, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 0.66 (95% CI = 0.62-0.69), 0.98 (95% CI = 0.98-0.98), 0.35 (95% CI = 0.33-0.38), and 1.0 (95% CI = 1.0-1.0), respectively.

CONCLUSIONS

External validation of a publicly available alcohol misuse classifier demonstrates adequate sensitivity and specificity for routine clinical use as an automated screening tool for identifying at-risk patients.

Alcohol withdrawal in past-year drinkers with unhealthy alcohol use: Prevalence, characteristics, and correlates in a national epidemiologic survey

BACKGROUND

Despite its potential to produce serious adverse outcomes, DSM-5 alcohol withdrawal syndrome (AWS) has not been widely studied in the general population.

METHODS

We used cross-sectional data from 36,309 U.S. adults from the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III to examine the past-year prevalence of AWS and its correlates. We focused on an important clinical population-past-year drinkers with unhealthy alcohol use-i.e., those with a positive score on the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaire. We also examined the association of AWS with sociodemographic measures, psychiatric disorders, alcohol-related measures, and healthcare utilization.

RESULTS

Approximately one-third (n = 12,634) of respondents reported unhealthy alcohol use (AUDIT-C+). Of these, 14.3% met criteria for a DSM-5 AWS diagnosis. The mean (SE) number of withdrawal symptoms among individuals with AWS was 2.83 (1.88), with the most common being nausea/vomiting and insomnia (19.8% and 11.6%, respectively). Among AUDIT-C+ respondents, the odds of AWS were significantly higher among males (adjusted odds ratio [aOR] = 1.17 [95% CI, 1.02-1.33]), unmarried participants (aOR = 1.55 [95% CI, 1.25-1.92]), and those at the lowest (vs. highest) income levels (aOR = 1.62 [95% CI, 1.37-1.92]). Among AUDIT-C+ respondents, AWS was also associated with psychiatric disorders (with aORs that ranged from 2.08 [95% CI, 1.79-2.41]) for major depressive disorder to 3.14 (95% CI, 1.79-2.41) for borderline personality disorder. AUDIT-C+ respondents with AWS also had higher odds of past-year alcohol use disorder (aOR = 11.2 [95% CI, 9.66-13.07]), other alcohol-related features (e.g., binge drinking), and healthcare utilization.

CONCLUSIONS

Among individuals with unhealthy alcohol use, AWS is prevalent, highly comorbid, and disabling. Given the risk of AWS among unhealthy drinkers, a comparatively large segment of the general population, clinicians should seek to identify individuals with AWS and intervene with them to prevent serious adverse outcomes.

Investigating Unhealthy Alcohol Use As an Independent Risk Factor for Increased COVID-19 Disease Severity: Observational Cross-sectional Study

BACKGROUND

Unhealthy alcohol use (UAU) is known to disrupt pulmonary immune mechanisms and increase the risk of acute respiratory distress syndrome in patients with pneumonia; however, little is known about the effects of UAU on outcomes in patients with COVID-19 pneumonia. To our knowledge, this is the first observational cross-sectional study that aims to understand the effect of UAU on the severity of COVID-19.

OBJECTIVE

We aim to determine if UAU is associated with more severe clinical presentation and worse health outcomes related to COVID-19 and if socioeconomic status, smoking, age, BMI, race/ethnicity, and pattern of alcohol use modify the risk.

METHODS

In this observational cross-sectional study that took place between January 1, 2020, and December 31, 2020, we ran a digital machine learning classifier on the electronic health record of patients who tested positive for SARS-CoV-2 via nasopharyngeal swab or had two COVID-19 International Classification of Disease, 10th Revision (ICD-10) codes to identify patients with UAU. After controlling for age, sex, ethnicity, BMI, smoking status, insurance status, and presence of ICD-10 codes for cancer, cardiovascular disease, and diabetes, we then performed a multivariable regression to examine the relationship between UAU and COVID-19 severity as measured by hospital care level (ie, emergency department admission, emergency department admission with ventilator, or death). We used a predefined cutoff with optimal sensitivity and specificity on the digital classifier to compare disease severity in patients with and without UAU. Models were adjusted for age, sex, race/ethnicity, BMI, smoking status, and insurance status.

RESULTS

Each incremental increase in the predicted probability from the digital alcohol classifier was associated with a greater odds risk for more severe COVID-19 disease (odds ratio 1.15, 95% CI 1.10-1.20). We found that patients in the unhealthy alcohol group had a greater odds risk to develop more severe disease (odds ratio 1.89, 95% CI 1.17-3.06), suggesting that UAU was associated with an 89% increase in the odds of being in a higher severity category.

CONCLUSIONS

In patients infected with SARS-CoV-2, UAU is an independent risk factor associated with greater disease severity and/or death.

Patient and provider factors associated with receipt and delivery of brief interventions for unhealthy alcohol use in primary care

BACKGROUND

Unhealthy alcohol use is a serious and costly public health problem. Alcohol screening and brief interventions are effective in reducing unhealthy alcohol consumption. However, rates of receipt and delivery of brief interventions vary significantly across healthcare settings, and relatively little is known about the associated patient and provider factors.

METHODS

This study examines patient and provider factors associated with the receipt of brief interventions for unhealthy alcohol use in an integrated healthcare system, based on documented brief interventions in the electronic health record. Using multilevel logistic regression models, we retrospectively analyzed 287,551 adult primary care patients (and their 2952 providers) who screened positive for unhealthy drinking between 2014 and 2017.

RESULTS

We found lower odds of receiving a brief intervention among patients exceeding daily or weekly drinking limits (vs. exceeding both limits), females, older age groups, those with higher medical complexity, and those already diagnosed with alcohol use disorders. Patients with other unhealthy lifestyle activities (e.g., smoking, no/insufficient exercise) were more likely to receive a brief intervention. We also found that female providers and those with longer tenure in the health system were more likely to deliver brief interventions.

CONCLUSIONS

These findings point to characteristics that can be targeted to improve universal receipt of brief intervention.

Alcohol Consumption and Hepatitis C Virus (HCV) RNA Levels in HIV/HCV Coinfected Patients

BACKGROUND

The impact of Hepatitis C virus (HCV) RNA levels on the evolution of chronic HCV infection-related liver damage is controversial. Heavy alcohol use is believed to have a deleterious impact on the course of HCV disease, but current knowledge about the possible effect of alcohol use on HCV RNA levels in HIV/HCV coinfected patients is limited.

METHODS

We examined 107 HIV/HCV-infected individuals with current or past unhealthy alcohol use to assess the association between alcohol consumption (any drinking vs. abstinent) and HCV RNA levels.

RESULTS

Participants were 75% male, with a mean age of 43 years, and 63% were on antiretroviral therapy. Mean (SD) log HIV RNA was 3.1 (1.4) and mean (SD) log HCV RNA was 6.1 (0.8). Past-month alcohol use was present in 38% of participants. In a multivariable linear regression analysis we found no significant differences in mean log HCV RNA levels between those reporting alcohol use and those who were abstinent [β (95%CI): -0.04 (-0.34, 0.26), p = 0.79)]. There was no significant association between any heavy drinking day and HCV RNA level (0.07, 95% CI: (-0.24, 0.38), p = 0.66).

CONCLUSIONS

We did not detect significant associations between alcohol use and HCV RNA levels among HIV/HCV coinfected patients.

Two-year treatment effects of the common elements treatment approach (CETA) for reducing intimate partner violence and unhealthy alcohol use in Zambia

BACKGROUND

Intimate partner violence (IPV) and unhealthy alcohol use are common yet often unaddressed public health problems in low- and middle-income countries. In a randomized trial, we found that the common elements treatment approach (CETA), a multi-problem, flexible, transdiagnostic intervention, was effective in reducing IPV and unhealthy alcohol use among couples in Zambia at a 12-month post-baseline assessment. In this follow-up study, we investigated whether treatment effects were sustained among CETA participants at 24-months post-baseline.

METHODS

Participants were heterosexual couples in Zambia in which the woman reported IPV perpetrated by the male partner and in which the male had hazardous alcohol use. Couples were randomized to CETA or treatment as usual plus safety checks. Measures were the Severity of Violence Against Women Scale (SVAWS) and the Alcohol Use Disorders Identification Test (AUDIT). The trial was stopped early upon recommendation by the trial's DSMB due to CETA's effectiveness following the 12-month assessment. Control participants exited the study and were offered CETA. This brief report presents data from an additional follow-up assessment conducted among original CETA participants at a 24-month visit.

RESULTS

There were no meaningful changes in SVAWS or AUDIT scores between 12- and 24-months. The within-group treatment effect for SVAWS from baseline to 24-months was d = 1.37 (p < 0.0001) and AUDIT was d = 0.85 (p < 0.0001).

CONCLUSIONS

The lack of change in levels of IPV and unhealthy alcohol use between the 12- and 24-month post-baseline timepoints suggests that treatment gains were sustained among participants who received CETA for at least two years from intervention commencement.

The Kaiser Permanente Northern California Adult Alcohol Registry, an Electronic Health Records-Based Registry of Patients With Alcohol Problems: Development and Implementation

Background

Electronic health record (EHR)–based disease registries have aided health care professionals and researchers in increasing their understanding of chronic illnesses, including identifying patients with (or at risk of developing) conditions and tracking treatment progress and recovery. Despite excessive alcohol use being a major contributor to the global burden of disease and disability, no registries of alcohol problems exist. EHR-based data in Kaiser Permanente Northern California (KPNC), an integrated health system that conducts systematic alcohol screening, which provides specialty addiction medicine treatment internally and has a membership of over 4 million members that are highly representative of the US population with access to care, provide a unique opportunity to develop such a registry.

Objective

Our objectives were to describe the development and implementation of a protocol for assembling the KPNC Adult Alcohol Registry, which may be useful to other researchers and health systems, and to characterize the registry cohort descriptively, including underlying health conditions.

Methods

Inclusion criteria were adult members with unhealthy alcohol use (using National Institute on Alcohol Abuse and Alcoholism guidelines), an alcohol use disorder (AUD) diagnosis, or an alcohol-related health problem between June 1, 2013, and May 31, 2019. We extracted patients’ longitudinal, multidimensional EHR data from 1 year before their date of eligibility through May 31, 2019, and conducted descriptive analyses.

Results

We identified 723,604 adult patients who met the registry inclusion criteria at any time during the study period: 631,780 with unhealthy alcohol use, 143,690 with an AUD diagnosis, and 18,985 with an alcohol-related health problem. We identified 65,064 patients who met two or more criteria. Of the 4,973,195 adult patients with at least one encounter with the health system during the study period, the prevalence of unhealthy alcohol use was 13% (631,780/4,973,195), the prevalence of AUD diagnoses was 3% (143,690/4,973,195), and the prevalence of alcohol-related health problems was 0.4% (18,985/4,973,195). The registry cohort was 60% male (n=432,847) and 41% non-White (n=295,998) and had a median age of 41 years (IQR=27). About 48% (n=346,408) had a chronic medical condition, 18% (n=130,031) had a mental health condition, and 4% (n=30,429) had a drug use disorder diagnosis.

Conclusions

We demonstrated that EHR-based data collected during clinical care within an integrated health system could be leveraged to develop a registry of patients with alcohol problems that is flexible and can be easily updated. The registry’s comprehensive patient-level data over multiyear periods provides a strong foundation for robust research addressing critical public health questions related to the full course and spectrum of alcohol problems, including recovery, which would complement other methods used in alcohol research (eg, population-based surveys, clinical trials).

A Modified Alcohol SBI for Use among Older Adults Living with HIV

Older adults living with HIV may have health conditions that amplify the potentially negative health effects of alcohol use. We adapted the Comorbidity Alcohol Risk Evaluation Tool (CARET) screening tool for at-risk drinking to reflect HIV/AIDS and related conditions, medications, and behaviors. The adapted CARET-HIV along with a brief intervention was administered to 27 older men living with HIV. The CARET-HIV identified the same number of at-risk drinkers as the original CARET (n = 24) but identified more risk domains. Most participants welcomed receiving information about risks associated with their drinking, but some felt "embarrassed" or "guilty" discussing their drinking. This is particularly salient within the context of HIV discourse, which has historically assigned blame of HIV infection on personal choices. The SBI was generally acceptable to participants. The modified CARET can help providers integrate discussion of alcohol use into the context of HIV care for personalized feedback.

Electronic screening and brief intervention for unhealthy alcohol use in primary care waiting rooms - A pilot project

Background: In primary care, electronic self-administered screening and brief interventions for unhealthy alcohol may overcome some of the implementation barriers of face-to-face intervention. We developed an anonymous electronic self-administered screening brief intervention device for unhealthy alcohol use and assessed its feasibility and acceptability in primary care practice waiting rooms. Two modes of delivery were compared: with or without the presence of a research assistant (RA) to make patients aware of the device's presence and help users. Using the device was optional. Methods: The devices were placed in 10 participating primary care practices waiting rooms for 6 weeks, and were accessible on a voluntary basis. Number of appointments by each practice during the course of the study was recorded. Access to the electronic brief intervention was voluntary among those who screened positive. Screening and brief intervention rates and characteristics of users were compared across the modes of delivery. Results: During the study, there were 7270 appointments and 1511 individuals used the device (20.8%). Mean age of users was 45.3 (19.5), and 57.9% screened positive for unhealthy alcohol use. Of them, 53.8% accessed the brief intervention content. The presence of the RA had a major impact on the device's usage (59.6% vs 17.4% when absent). When the RA was present, participants were less likely to screen positive (49.4% vs 60.7%, P = 0.0003) but more likely to access the intervention (62.7% vs 51.4%, P = 0.009). Results from the satisfaction survey indicated that users found the device easy to use (93.5%), questions useful (89-95%) and 77.2% reported that their friends would be willing to use it. Conclusions: This pilot project indicates that the implementation of an electronic screening and brief intervention device for unhealthy alcohol is feasible and acceptable in primary care practices but that, without human support, its use is rather limited.

Four-year follow-up of an internet-based brief intervention for unhealthy alcohol use in young men

AIM

To estimate the long-term efficacy of an internet-based brief intervention (IBI) in decreasing alcohol use among men on (1) number of drinks/week and (2) monthly or more binge drinking prevalence. In addition, overall changes in alcohol use were assessed.

DESIGN

Participants in a cohort study were recruited in a two parallel-group randomized controlled trial of an IBI versus no-intervention control condition, showing a positive intervention effect at 6 months. As part of the regular cohort assessments, participants were re-assessed 47 months after the initial trial, offering an opportunity to determine long-term efficacy.

SETTING

Young Swiss men from the general population.

PARTICIPANTS

Of 737 randomized trial participants with unhealthy alcohol use (> 14 drinks/week or ≥ 6 drinks/occasion at least monthly, or Alcohol Use Disorders Identification Test (AUDIT) ≥ 8), 626 completed a cohort assessment at mean ± standard deviation (SD) = 47.4 ± 2.6) months after their randomized trial baseline assessment.

INTERVENTION

IBI included normative and personalized feedback on alcohol use, risk indicators, information about alcohol and health and recommendations; controls: assessment only.

MEASUREMENTS

Self-reported number of drinks/week and monthly or more binge drinking prevalence.

FINDINGS

Comparisons at follow-up were adjusted for baseline drinking. Missing values were replaced with the last observation carried forward. There was no evidence of differences between the IBI and control group on either the number of drinks/week [IBI: 10.8 (14.2); control: 10.7 (14.1), P = 0.8] or monthly or more binge drinking prevalence (IBI: 65.1%; control: 63.5%, P = 0.5). Although there was no evidence of overall change from baseline in number of drinks/week [9.8 (7.9) at baseline, 10.8 (14.1) at 47 months, P = 0.051], there was evidence that monthly or more binge drinking prevalence had decreased during the follow-up time (84.9% at baseline, 64.3% at 47 months, P < 0.001).

CONCLUSIONS

An internet-based brief intervention directed at unhealthy alcohol use among young men does not appear to reduce drinking over the long-term.

Declining and rebounding unhealthy alcohol consumption during the first year of HIV care in rural Uganda, using phosphatidylethanol to augment self-report

AIMS

We examined whether unhealthy alcohol consumption, which negatively impacts HIV outcomes, changes after HIV care entry overall and by several factors. We also compared using phosphatidylethanol (PEth, an alcohol biomarker) to augment self-report to using self-report alone.

DESIGN

A prospective 1-year observational cohort study with quarterly visits.

SETTING

Large rural HIV clinic in Mbarara, Uganda.

PARTICIPANTS

A total of 208 adults (89 women and 119 men) entering HIV care, reporting any prior year alcohol consumption.

MEASUREMENTS

Unhealthy drinking was PEth+ (≥ 50 ng/ml) or Alcohol Use Disorders Identification Test-Consumption+ (AUDIT-C+, over 3 months, women ≥ 3; men ≥ 4). We calculated adjusted odds ratios (AOR) for unhealthy drinking per month since baseline, and interactions of month since baseline with perceived health, number of HIV symptoms, antiretroviral therapy (ART), gender and self-reported prior unhealthy alcohol use.

FINDINGS

The majority of participants (64%) were unhealthy drinkers (PEth+ or AUDIT-C+) at baseline. There was no significant trend in unhealthy drinking overall [per-month AOR: 1.01; 95% confidence interval (CI) = 0.94-1.07], while the per-month AORs were 0.91 (95% CI = 0.83-1.00) and 1.11 (95% CI = 1.01-1.22) when participants were not yet on ART and on ART, respectively (interaction P-value < 0.01). In contrast, 44% were AUDIT-C+; the per-month AORs for being AUDIT-C+ were 0.89 (95% CI = 0.85-0.95) overall, and 0.84 (95% CI = 0.78-0.91) and 0.97 (95% CI = 0.89-1.05) when participants were not on and were on ART, respectively.

CONCLUSIONS

Unhealthy alcohol use among Ugandan adults entering HIV care declines prior to the start of anti-retroviral therapy but rebounds with time. Augmenting self-reported alcohol use with biomarkers increases the ability of current alcohol use measurements to detect unhealthy alcohol use.

Physician versus non-physician delivery of alcohol screening, brief intervention and referral to treatment in adult primary care: the ADVISe cluster randomized controlled implementation trial

BACKGROUND

Unhealthy alcohol use is a major contributor to the global burden of disease and injury. The US Preventive Services Task Force has recommended alcohol screening and intervention in general medical settings since 2004. Yet less than one in six US adults report health care professionals discussing alcohol with them. Little is known about methods for increasing implementation; different staffing models may be related to implementation effectiveness. This implementation trial compared delivery of alcohol screening, brief intervention and referral to specialty treatment (SBIRT) by physicians versus non-physician providers receiving training, technical assistance, and feedback reports.

METHODS

The study was a cluster randomized implementation trial (ADVISe [Alcohol Drinking as a Vital Sign]). Within a private, integrated health care system, 54 adult primary care clinics were stratified by medical center and randomly assigned in blocked groups of three to SBIRT by physicians (PCP arm) versus non-physician providers and medical assistants (NPP and MA arm), versus usual care (Control arm). NIH-recommended screening questions were added to the electronic health record (EHR) to facilitate SBIRT. We examined screening and brief intervention and referral rates by arm. We also examined patient-, physician-, and system-level factors affecting screening rates and, among those who screened positive, rates of brief intervention and referral to treatment.

RESULTS

Screening rates were highest in the NPP and MA arm (51 %); followed by the PCP arm (9 %) and the Control arm (3.5 %). Screening increased over the 12 months after training in the NPP and MA arm but remained stable in the PCP arm. The PCP arm had higher brief intervention and referral rates (44 %) among patients screening positive than either the NPP and MA arm (3.4 %) or the Control arm (2.7 %). Higher ratio of MAs to physicians was related to higher screening rates in the NPP and MA arm and longer appointment times to screening and intervention rates in the PCP arm.

CONCLUSION

Findings suggest that time frames longer than 12 months may be required for full SBIRT implementation. Screening by MAs with intervention and referral by physicians as needed can be a feasible model for increasing the implementation of this critical and under-utilized preventive health service within currently predominant primary care models.

TRIAL REGISTRATION

Clinical Trials NCT01135654.

An early evaluation of implementation of brief intervention for unhealthy alcohol use in the US Veterans Health Administration

AIMS

The US Veterans Health Administration [Veterans Affairs (VA)] used performance measures and electronic clinical reminders to implement brief intervention for unhealthy alcohol use. We evaluated whether documented brief intervention was associated with subsequent changes in drinking during early implementation.

DESIGN

Observational, retrospective cohort study using secondary clinical and administrative data.

SETTING

Thirty VA facilities.

PARTICIPANTS

Outpatients who screened positive for unhealthy alcohol use [Alcohol Use Disorders Identification Test Consumption (AUDIT-C ≥ 5)] in the 6 months after the brief intervention performance measure (n = 22 214) and had follow-up screening 9-15 months later (n = 6210; 28%).

MEASUREMENTS

Multi-level logistic regression estimated the adjusted prevalence of resolution of unhealthy alcohol use (follow-up AUDIT-C <5 with ≥2 point reduction) for patients with and without documented brief intervention (documented advice to reduce or abstain from drinking).

FINDINGS

Among 6210 patients with follow-up alcohol screening, 1751 (28%) had brief intervention and 2922 (47%) resolved unhealthy alcohol use at follow-up. Patients with documented brief intervention were older and more likely to have other substance use disorders, mental health conditions, poor health and more severe unhealthy alcohol use than those without (P-values < 0.05). Adjusted prevalences of resolution were 47% [95% confidence interval (CI) = 42-52%] and 48% (95% CI = 42-54%) for patients with and without documented brief intervention, respectively (P = 0.50).

CONCLUSIONS

During early implementation of brief intervention in the US Veterans Health Administration, documented brief intervention was not associated with subsequent changes in drinking among outpatients with unhealthy alcohol use and repeat alcohol screening.

Factors associated with favorable drinking outcome 12 months 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 12 months later, consumption and alcohol-related consequences were assessed. The outcome of interest was a favorable drinking outcome at 12 months (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 treatment.

Does readiness to change predict subsequent alcohol consumption in medical inpatients with unhealthy alcohol use?

We studied whether readiness to change predicts alcohol consumption (drinks per day) 3 months later in 267 medical inpatients with unhealthy alcohol use. We used 3 readiness to change measures: a 1 to 10 visual analog scale (VAS) and two factors of the Stages of Change Readiness and Treatment Eagerness Scale: Perception of Problems (PP) and Taking Action (TA). Subjects with the highest level of VAS-measured readiness consumed significantly fewer drinks 3 months later [Incidence rate ratio (IRR) and 95% confidence interval (CI): 0.57 (0.36, 0.91) highest vs. lowest tertile]. Greater PP was associated with more drinking [IRR (95%CI): 1.94 (1.02, 3.68) third vs. lowest quartile]. Greater TA scores were associated with less drinking [IRR (95%CI): 0.42 (0.23, 0.78) highest vs. lowest quartile]. Perception of Problems' association with more drinking may reflect severity rather than an aspect of readiness associated with ability to change; high levels of Taking Action appear to predict less drinking. Although assessing readiness to change may have clinical utility, assessing the patient's planned actions may have more predictive value for future improvement in alcohol consumption.