Dataset Information

Delivery of Brief Interventions for Heavy Drinking in Primary Care: Outcomes of the ODHIN 5-Country Cluster Randomized Trial.

ABSTRACT: We aimed to test whether 3 strategies-training and support, financial reimbursement, and an option to direct screen-positive patients to an Internet-based method of giving brief advice-have a longer-term effect on primary care clinicians' delivery of screening and advice to heavy drinkers operationalized with the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) tool.We undertook a cluster randomized factorial trial with a 12-week implementation period in 120 primary health care units throughout Catalonia, England, Netherlands, Poland, and Sweden. Units were randomized to 8 groups: care as usual (control); training and support alone; financial reimbursement alone; electronic brief advice alone; paired combinations of these conditions; and all 3 combined. The primary outcome was the proportion of consulting adult patients (aged 18 years and older) receiving intervention-screening and, if screen-positive, advice-at 9 months.Based on the factorial design, the ratio of the log of the proportion of patients given intervention at the 9-month follow-up was 1.39 (95% CI, 1.03-1.88) in units that received training and support as compared with units that did not. Neither financial reimbursement nor directing screen-positive patients to electronic brief advice led to a higher proportion of patients receiving intervention.Training and support of primary health care units has a lasting, albeit small, impact on the proportion of adult patients given an alcohol intervention at 9 months.

SUBMITTER: Anderson P

PROVIDER: S-EPMC5505452 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Delivery of Brief Interventions for Heavy Drinking in Primary Care: Outcomes of the ODHIN 5-Country Cluster Randomized Trial.

Anderson Peter P Coulton Simon S Kaner Eileen E Bendtsen Preben P Kłoda Karolina K Reynolds Jillian J Segura Lidia L Segura Lidia L Wojnar Marcin M Mierzecki Artur A Deluca Paolo P Newbury-Birch Dorothy D Parkinson Kathryn K Okulicz-Kozaryn Katarzyna K Drummond Colin C Gual Antoni A

Annals of family medicine 20170701 4

<h4>Purpose</h4>We aimed to test whether 3 strategies-training and support, financial reimbursement, and an option to direct screen-positive patients to an Internet-based method of giving brief advice-have a longer-term effect on primary care clinicians' delivery of screening and advice to heavy drinkers operationalized with the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) tool.<h4>Methods</h4>We undertook a cluster randomized factorial trial with a 12-week implementation peri ...[more]

PMID: 28694269

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Project description:IntroductionHeavy drinking among people living with HIV (PLWH) worsens their health outcomes and disrupts their HIV care. Although brief interventions to reduce heavy drinking in primary care are effective, more extensive intervention may be needed in PLWH with moderate-to-severe alcohol use disorder. Lengthy interventions are not feasible in most HIV primary care settings, and patients seldom follow referrals to outside treatment. Utilizing visual and video features of smartphone technology, we developed the "HealthCall" app to provide continued engagement after brief intervention, reduce drinking, and improve other aspects of HIV care with minimal demands on providers. We conducted a randomized trial of its efficacy.MethodsThe study recruited alcohol-dependent PLWH (n = 114) from a large urban HIV clinic. Using a 1:1:1 randomized design, the study assigned patients to: Motivational Interviewing (MI) plus HealthCall (n = 39); NIAAA Clinician's Guide (CG) plus HealthCall (n = 38); or CG-only (n = 37). Baseline MI and CG interventions took ~25 min, with brief (10-15 min) 30- and 60-day booster sessions. HealthCall involved daily use of the smartphone app (3-5 min/day) to report drinking and health in the prior 24 h. Outcomes assessed at 30 and 60 days and at 3, 6 and 12 months included drinks per drinking day (DpDD; primary outcome) and number of drinking days, analyzed with generalized linear mixed models and pre-planned contrasts.ResultsStudy retention was excellent (85%-94% across timepoints). At 30 days, DpDD among patients in MI + HealthCall, CG + HealthCall, and CG-only was 3.80, 5.28, and 5.67, respectively; patients in MI + HealthCall drank less than CG-only and CG + HealthCall (IRRs = 0.62, 95% CI = 0.46, 0.84, and 0.64, 95% CI = 0.48, 0.87, respectively). At 6 months (end-of-treatment), DpDD was lower in CG + HealthCall (DpDD = 4.88) than MI + HealthCall (DpDD = 5.88) or CG-only (DpDD = 6.91), although these differences were not significant. At 12 months, DpDD was 5.73, 5.31, and 6.79 in MI + HealthCall, CG + HealthCall, and CG-only, respectively; DpDD was significantly lower in CG + HealthCall than CG-only (IRR = 0.71, 95% CI = 0.51, 0.98).ConclusionsDuring treatment, patients in MI + HealthCall had lower DpDD than patients in other conditions; however, at 12 months, drinking was lowest among patients in CG + HealthCall. Given the importance of drinking reduction and the low costs/time required for HealthCall, pairing HealthCall with brief interventions merits widespread consideration.

Project description:In HIV-infected individuals, heavy drinking compromises survival. In HIV primary care, the efficacy of brief motivational interviewing (MI) to reduce drinking is unknown, alcohol-dependent patients may need greater intervention and resources are limited. Using interactive voice response (IVR) technology, HealthCall was designed to enhance MI via daily patient self-monitoring calls to an automated telephone system with personalized feedback. We tested the efficacy of MI-only and MI+HealthCall for drinking reduction among HIV primary care patients.Parallel random assignment to control (n = 88), MI-only (n = 82) or MI+HealthCall (n = 88). Counselors provided advice/education (control) or MI (MI-only or MI+HealthCall) at baseline. At 30 and 60 days (end-of-treatment), counselors briefly discussed drinking with patients, using HealthCall graphs with MI+HealthCall patients.Large urban HIV primary care clinic.Patients consuming ?4 drinks at least once in prior 30 days.Using time-line follow-back, primary outcome was number of drinks per drinking day, last 30 days.End-of-treatment number of drinks per drinking day (NumDD) means were 4.75, 3.94 and 3.58 in control, MI-only and MI+HealthCall, respectively (overall model ?(2) , d.f.?= 9.11,2, P = 0.01). For contrasts of NumDD, P = 0.01 for MI+HealthCall versus control; P = 0.07 for MI-only versus control; and P = 0.24 for MI+HealthCall versus MI-only. Secondary analysis indicated no intervention effects on NumDD among non-alcohol-dependent patients. However, for contrasts of NumDD among alcohol-dependent patients, P < 0.01 for MI+HealthCall versus control; P = 0.09 for MI-only versus control; and P = 0.03 for MI+HealthCall versus MI-only. By 12-month follow-up, although NumDD remained lower among alcohol-dependent patients in MI+HealthCall than others, effects were no longer significant.For alcohol-dependent HIV patients, enhancing MI with HealthCall may offer additional benefit, without extensive additional staff involvement.

Project description:BackgroundAlcohol-induced blackouts, a form of anterograde amnesia that restricts the encoding of short-term memories into long-term ones, are among the most severe alcohol-related consequences. College students are at high risk of experiencing alcohol-induced blackouts, and there is a need to determine whether alcohol interventions can effectively reduce blackouts in this population. The current study uses data from 3 randomized clinical trials to examine the effect of various intervention approaches on alcohol-induced blackouts.MethodsFour interventions were compared over 3 studies: (i) a computerized feedback intervention (electronic Check-Up To Go [e-Chug]; Study 1); (ii) a single-session brief motivational intervention (BMI; Study 1); (iii) a BMI plus behavioral economic session focused on increasing substance-free activities (BMI + Substance-Free Activity Session [SFAS]; Studies 2 and 3); and (iv) a BMI plus supplemental Relaxation Training session (BMI + Relaxation Training; Studies 2 and 3). Studies 1 and 3 also included an assessment-only control condition. For each study, participants reported whether they had experienced an alcohol-induced blackout at each time point; binary logistic regressions examined differential likelihood of experiencing an alcohol-induced blackout over time.ResultsNeither the single-session BMI nor e-Chug reduced alcohol-induced blackouts over assessment only; however, participants in the BMI + SFAS or BMI + Relaxation Training condition were significantly less likely to experience an alcohol-induced blackout compared to assessment only at 1-month (Wald = 4.77, odds ratio [OR] = 0.53, p = 0.03) and 6-month follow-ups (Wald = 5.72, OR = 0.52, p = 0.02). Study 2 also revealed a larger effect for the BMI + SFAS over the BMI + Relaxation Training condition at 6 months (Wald = 4.11 OR = 0.22, p = 0.043), although this was not replicated in Study 3. The effects for the 2-session BMIs lasted 6 months, at which point maturation effects diminished differences between assessment-only and intervention conditions.ConclusionsTwo sessions of BMI are a substantial enough dose to result in reductions in alcohol-induced blackouts among college student heavy drinkers.

Dataset Information

Delivery of Brief Interventions for Heavy Drinking in Primary Care: Outcomes of the ODHIN 5-Country Cluster Randomized Trial.

Publications

Delivery of Brief Interventions for Heavy Drinking in Primary Care: Outcomes of the ODHIN 5-Country Cluster Randomized Trial.

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