Assessment of a computer‐supported alcohol education intervention program

A Scoping Review of "Responsible Drinking" Interventions

Public health groups, researchers, the beverage alcohol industry, and other stakeholders have promoted and applied the concept of "responsible drinking" for the past 50 years. However, little is known about the state of the existing responsible drinking evaluation research and its application to policy and practice. This project provides a scoping review of studies evaluating responsible drinking interventions. Two primary research questions guided this investigation: (1) To what extent have authors attempted to define the concept of responsible drinking while evaluating responsible drinking interventions? and (2) What is the state of the responsible drinking intervention evaluation literature? We retrieved 49 peer-reviewed articles that evaluated interventions designed to promote "responsible drinking." Four articles provided, or attempted to provide, an explicit definition of responsible drinking; these four definitions lacked consensus. The existing responsible drinking interventions varied considerably in terms of the messages they attempted to convey (e.g., avoid binge drinking, use protective behavioral strategies, stick to relatively safe drinking limits), again suggesting lack of consensus. We observed greater consensus concerning the approach to evaluating responsible drinking interventions: studies typically recruited college students to complete brief, well-controlled experiments and measured potential predictors of drinking behavior (e.g., attitudes, expectancies, intentions) rather than actual drinking behavior. We discuss limitations of this methodological approach and the need for greater consensus regarding the concept of responsible drinking.

Personalised digital interventions for reducing hazardous and harmful alcohol consumption in community-dwelling populations

BACKGROUND

Excessive alcohol use contributes significantly to physical and psychological illness, injury and death, and a wide array of social harm in all age groups. A proven strategy for reducing excessive alcohol consumption levels is to offer a brief conversation-based intervention in primary care settings, but more recent technological innovations have enabled people to interact directly via computer, mobile device or smartphone with digital interventions designed to address problem alcohol consumption.

OBJECTIVES

To assess the effectiveness and cost-effectiveness of digital interventions for reducing hazardous and harmful alcohol consumption, alcohol-related problems, or both, in people living in the community, specifically: (i) Are digital interventions more effective and cost-effective than no intervention (or minimal input) controls? (ii) Are digital interventions at least equally effective as face-to-face brief alcohol interventions? (iii) What are the effective component behaviour change techniques (BCTs) of such interventions and their mechanisms of action? (iv) What theories or models have been used in the development and/or evaluation of the intervention? Secondary objectives were (i) to assess whether outcomes differ between trials where the digital intervention targets participants attending health, social care, education or other community-based settings and those where it is offered remotely via the internet or mobile phone platforms; (ii) to specify interventions according to their mode of delivery (e.g. functionality features) and assess the impact of mode of delivery on outcomes.

SEARCH METHODS

We searched CENTRAL, MEDLINE, PsycINFO, CINAHL, ERIC, HTA and Web of Knowledge databases; ClinicalTrials.com and WHO ICTRP trials registers and relevant websites to April 2017. We also checked the reference lists of included trials and relevant systematic reviews.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) that evaluated the effectiveness of digital interventions compared with no intervention or with face-to-face interventions for reducing hazardous or harmful alcohol consumption in people living in the community and reported a measure of alcohol consumption.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by The Cochrane Collaboration.

MAIN RESULTS

We included 57 studies which randomised a total of 34,390 participants. The main sources of bias were from attrition and participant blinding (36% and 21% of studies respectively, high risk of bias). Forty one studies (42 comparisons, 19,241 participants) provided data for the primary meta-analysis, which demonstrated that participants using a digital intervention drank approximately 23 g alcohol weekly (95% CI 15 to 30) (about 3 UK units) less than participants who received no or minimal interventions at end of follow up (moderate-quality evidence).Fifteen studies (16 comparisons, 10,862 participants) demonstrated that participants who engaged with digital interventions had less than one drinking day per month fewer than no intervention controls (moderate-quality evidence), 15 studies (3587 participants) showed about one binge drinking session less per month in the intervention group compared to no intervention controls (moderate-quality evidence), and in 15 studies (9791 participants) intervention participants drank one unit per occasion less than no intervention control participants (moderate-quality evidence).Only five small studies (390 participants) compared digital and face-to-face interventions. There was no difference in alcohol consumption at end of follow up (MD 0.52 g/week, 95% CI -24.59 to 25.63; low-quality evidence). Thus, digital alcohol interventions produced broadly similar outcomes in these studies. No studies reported whether any adverse effects resulted from the interventions.A median of nine BCTs were used in experimental arms (range = 1 to 22). 'B' is an estimate of effect (MD in quantity of drinking, expressed in g/week) per unit increase in the BCT, and is a way to report whether individual BCTs are linked to the effect of the intervention. The BCTs of goal setting (B -43.94, 95% CI -78.59 to -9.30), problem solving (B -48.03, 95% CI -77.79 to -18.27), information about antecedents (B -74.20, 95% CI -117.72 to -30.68), behaviour substitution (B -123.71, 95% CI -184.63 to -62.80) and credible source (B -39.89, 95% CI -72.66 to -7.11) were significantly associated with reduced alcohol consumption in unadjusted models. In a multivariable model that included BCTs with B > 23 in the unadjusted model, the BCTs of behaviour substitution (B -95.12, 95% CI -162.90 to -27.34), problem solving (B -45.92, 95% CI -90.97 to -0.87), and credible source (B -32.09, 95% CI -60.64 to -3.55) were associated with reduced alcohol consumption.The most frequently mentioned theories or models in the included studies were Motivational Interviewing Theory (7/20), Transtheoretical Model (6/20) and Social Norms Theory (6/20). Over half of the interventions (n = 21, 51%) made no mention of theory. Only two studies used theory to select participants or tailor the intervention. There was no evidence of an association between reporting theory use and intervention effectiveness.

AUTHORS' CONCLUSIONS

There is moderate-quality evidence that digital interventions may lower alcohol consumption, with an average reduction of up to three (UK) standard drinks per week compared to control participants. Substantial heterogeneity and risk of performance and publication bias may mean the reduction was lower. Low-quality evidence from fewer studies suggested there may be little or no difference in impact on alcohol consumption between digital and face-to-face interventions.The BCTs of behaviour substitution, problem solving and credible source were associated with the effectiveness of digital interventions to reduce alcohol consumption and warrant further investigation in an experimental context.Reporting of theory use was very limited and often unclear when present. Over half of the interventions made no reference to any theories. Limited reporting of theory use was unrelated to heterogeneity in intervention effectiveness.

Personalized boosters for a computerized intervention targeting college drinking: The influence of protective behavioral strategies

OBJECTIVE

Computerized interventions are cost-effective and can quickly deliver individual feedback to many students. However, in-person interventions are more efficacious. The current study sought to improve the efficacy of a popular online intervention via e-mailed boosters with personalized feedback.

PARTICIPANTS

Participants were 213 student drinkers at a southeastern public university, ages 18-24.

METHODS

Students were randomized into (1) intervention only, or (2) intervention plus booster. Alcohol consumption and related problems were assessed at baseline, 2 weeks post, and 4 weeks post.

RESULTS

Boosters yielded reductions in drinking, but not alcohol-related problems. Boosters were associated with significant reductions for drinking frequency, heavy drinking days, peak drinks, and associated blood alcohol concentration (BAC). Protective behavioral strategies (PBS) moderated this effect, with significant reductions for students low in PBS, but not students already highly engaged in PBS use.

CONCLUSIONS

Easy dissemination and low cost make e-mailed boosters a very efficient way to promote student health.

Young adult's immediate reaction to a personal alcohol overdose

Following an emergency medical transport for alcohol overdose, first-year college students were asked to complete a survey assessing their reactions to the transport experience, their assessment of why they required this emergency response, and plans for future personal alcohol consumption. Transported students who responded to a baseline survey of all first-year students regarding expectations about alcohol are compared to first-year students overall. The 50 first-year transported students did not perceive themselves at risk for alcohol overdose prior to the event and were typically not heavy consumers of alcohol. The majority attributed the overdose event to bad decision making. Most students planned to alter the amount and the pace of their future alcohol consumption. Additional education on the circumstances of alcohol overdose may help young adults learn their own limits for safe consumption.