Evidence map›Paper›PMID 19664255›Full record

Trial reportBMC public health2009

Screening and brief interventions for hazardous and harmful alcohol use in primary care: a cluster randomised controlled trial protocol.

Eileen Kaner, Martin Bland, Paul Cassidy, Simon Coulton, Paolo Deluca, Colin Drummond, Eilish Gilvarry, Christine Godfrey, Nick Heather, Judy Myles and 7 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC public health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Effectiveness of brief alcohol interventions in primary care populations.The Cochrane database of systematic reviews · 2018
    Pooled it
  3. Accuracy of one or two simple questions to identify alcohol-use disorder in primary care: a meta-analysis.The British journal of general practice : the journal of the Royal College of General Practitioners · 2014
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 10 institutions in 1 country.

Eileen KanerInstitute of Health and Society, Newcastle University, Newcastle, UK. e.f.s.kaner@newcastle.ac.uk
Martin Bland
Paul Cassidy
Simon Coulton
Paolo Deluca
Colin Drummond
Eilish Gilvarry
Christine Godfrey
Nick Heather
Judy Myles
Dorothy Newbury-Birch
Adenekan Oyefeso
Steve Parrott
Katherine Perryman
Tom Phillips
Don Shenker
Jonathan Shepherd
King's College London · GBUniversity of York · GBNewcastle University · GBSt George's, University of London · GBCardiff University · GBConcern Worldwide UK · GBGateshead Health NHS Foundation Trust · GBHumber Teaching NHS Foundation Trust · GBNorthumbria University · GBUniversity of Kent · GB

Funding

Medical Research Council G0701818
6 · The paper itself

Abstract

backgroundThere have been many randomized controlled trials of screening and brief alcohol intervention in primary care. Most trials have reported positive effects of brief intervention, in terms of reduced alcohol consumption in excessive drinkers. Despite this considerable evidence-base, key questions remain unanswered including: the applicability of the evidence to routine practice; the most efficient strategy for screening patients; and the required intensity of brief intervention in primary care. This pragmatic factorial trial, with cluster randomization of practices, will evaluate the effectiveness and cost-effectiveness of different models of screening to identify hazardous and harmful drinkers in primary care and different intensities of brief intervention to reduce excessive drinking in primary care patients. METHODS AND

designGPs and nurses from 24 practices across the North East (n=12), London and South East (n=12) of England will be recruited. Practices will be randomly allocated to one of three intervention conditions: a leaflet-only control group (n=8); brief structured advice (n=8); and brief lifestyle counselling (n=8). To test the relative effectiveness of different screening methods all practices will also be randomised to either a universal or targeted screening approach and to use either a modified single item (M-SASQ) or FAST screening tool. Screening randomisation will incorporate stratification by geographical area and intervention condition. During the intervention stage of the trial, practices in each of the three arms will recruit at least 31 hazardous or harmful drinkers who will receive a short baseline assessment followed by brief intervention. Thus there will be a minimum of 744 patients recruited into the trial. DISCUSSION: The trial will evaluate the impact of screening and brief alcohol intervention in routine practice; thus its findings will be highly relevant to clinicians working in primary care in the UK. There will be an intention to treat analysis of study outcomes at 6 and 12 months after intervention. Analyses will include patient measures (screening result, weekly alcohol consumption, alcohol-related problems, public service use and quality of life) and implementation measures from practice staff (the acceptability and feasibility of different models of brief intervention.) We will also examine organisational factors associated with successful implementation.

trial registrationCurrent Controlled Trials ISRCTN06145674.

Indexed as

AlcoholismCluster AnalysisCounselingHumansLife StyleLondonOutcome Assessment, Health CarePatient Education as TopicPrimary Health Care

Identifiers

PMID19664255
PMCPMC2734851
OpenAlexW4232510864

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.