Evidence map›Paper›PMID 29673337›Full record

Trial reportBMC public health2018

Communities in charge of alcohol (CICA): a protocol for a stepped-wedge randomised control trial of an alcohol health champions programme.

Penny A Cook, Suzy C Hargreaves, Elizabeth J Burns, Frank de Vocht, Steve Parrott, Margaret Coffey, Suzanne Audrey, Cathy Ure, Paul Duffy, David Ottiwell and 3 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Innovations in Mixed Methods Evaluations.Annual review of public health · 2019
    Review
  10. Article
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

13 authors.

Penny A CookSchool of Health Sciences, University of Salford, Manchester, UK. P.A.Cook@salford.ac.uk.ORCID 0000-0001-6435-8050
Suzy C HargreavesSchool of Health Sciences, University of Salford, Manchester, UK.
Elizabeth J BurnsSchool of Health & Society, University of Salford, Manchester, UK.
Frank de VochtPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Steve ParrottSchool of Health Sciences, University of York, York, UK.
Margaret CoffeySchool of Health Sciences, University of Salford, Manchester, UK.
Suzanne AudreyPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Cathy UreSchool of Health Sciences, University of Salford, Manchester, UK.
Paul DuffyPublic Health England North West, Manchester, UK.
David OttiwellGreater Manchester Combined Authority, Manchester, UK.
Kiran KenthRoyal Society of Public Health, London, UK.
Susan HareFallowfield Community Guardians c/o School of Health Sciences, University of Salford, Manchester, UK.
Kate ArdernWigan Council, Manchester, Wigan, UK.

Funding

Department of Health PHR/15/129/03Medical Research Council MR/K023195/1
6 · The paper itself

Abstract

backgroundCommunities In Charge of Alcohol (CICA) takes an Asset Based Community Development (ABCD) approach to reducing alcohol harm. Through a cascade training model, supported by a designated local co-ordinator, local volunteers are trained to become accredited 'Alcohol Health Champions' to provide brief opportunistic advice at an individual level and mobilise action on alcohol availability at a community level. The CICA programme is the first time that a devolved UK region has attempted to coordinate an approach to building health champion capacity, presenting an opportunity to investigate its implementation and impact at scale. This paper describes the protocol for a stepped wedge randomised controlled trial of an Alcohol Health Champions programme in Greater Manchester which aims to strengthen the evidence base of ABCD approaches for health improvement and reducing alcohol-related harm.

methodsA natural experiment that will examine the effect of CICA on area level alcohol-related hospital admissions, Accident and Emergency attendances, ambulance call outs, street-level crime and anti-social behaviour data. Using a stepped wedged randomised design (whereby the intervention is rolled out sequentially in a randomly assigned order), potential changes in health and criminal justice primary outcomes are analysed using mixed-effects log-rate models, differences-in-differences models and Bayesian structured time series models. An economic evaluation identifies the set-up and running costs of CICA using HM Treasury approved standardised methods and resolves cost-consequences by sector. A process evaluation explores the context, implementation and response to the intervention. Qualitative analyses utilise the Framework method to identify underlying themes. DISCUSSION: We will investigate: whether training lay people to offer brief advice and take action on licensing decisions has an impact on alcohol-related harm in local areas; the cost-consequences for health and criminal justice sectors, and; mechanisms that influence intervention outcomes. As well as providing evidence for the effectiveness of this intervention to reduce the harm from alcohol, this evaluation will contribute to broader understanding of asset based approaches to improve public health.

trial registrationISRCTN 81942890 , date of registration 12/09/2017.

Indexed as

Community ParticipationAlcohol DrinkingCounselingHarm ReductionHealth PromotionHumansLicensureProgram EvaluationUnited KingdomAlcoholAsset based community developmentBrief interventionCommunity-based preventionDark logicLicensingPublic health

Identifiers

PMID29673337
PMCPMC5909208

What OpenQuestion holds

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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.