Evidence map›Paper›PMID 32045079›Full record

ArticleAddiction (Abingdon, England)2020

Evaluating the causal impact of individual alcohol licensing decisions on local health and crime using natural experiments with synthetic controls.

Frank de Vocht, Cheryl McQuire, Alan Brennan, Matt Egan, Colin Angus, Eileen Kaner, Emma Beard, Jamie Brown, Daniela De Angelis, Nick Carter and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Risk of bicycle collisions and 'safety in numbers': a natural experiment using the local introduction of e-scooters in England.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 6 institutions in 1 country.

Frank de VochtPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0003-3631-627X
Cheryl McQuirePopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0003-0127-8015
Alan BrennanThe National Institute for Health Research School for Public Health Research (NIHR SPHR), London, UK.
Matt EganThe National Institute for Health Research School for Public Health Research (NIHR SPHR), London, UK.
Colin AngusThe National Institute for Health Research School for Public Health Research (NIHR SPHR), London, UK.ORCID 0000-0003-0529-4135
Eileen KanerThe National Institute for Health Research School for Public Health Research (NIHR SPHR), London, UK.
Emma BeardThe National Institute for Health Research School for Public Health Research (NIHR SPHR), London, UK.ORCID 0000-0001-8586-1261
Jamie BrownThe National Institute for Health Research School for Public Health Research (NIHR SPHR), London, UK.ORCID 0000-0002-2797-5428
Daniela De AngelisThe National Institute for Health Research School for Public Health Research (NIHR SPHR), London, UK.
Nick CarterBristol City Council, Bristol, UK.
Barbara MurrayMedway Council, Chatham, Kent, UK.
Rachel DukesLeeds City Council, Leeds, UK.
Elizabeth GreenwoodLeeds City Council, Leeds, UK.
Susan HoldenLeeds City Council, Leeds, UK.
Russell JagoThe National Institute for Health Research School for Public Health Research (NIHR SPHR), London, UK.
Matthew HickmanPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0001-9864-459X
National Institute for Health and Care Excellence · GBLeeds City Council · GBBristol City Council · GBMedway School of Pharmacy · GBUniversity of Bristol · GBUniversity of Cambridge · GB

Funding

Cancer Research UK 22962Department of Health RP-PG-0616-20008Medical Research Council MC_UU_00002/11Medical Research Council MR/K023195/1Medical Research Council MR/K02325X/1
6 · The paper itself

Abstract

BACKGROUND AND

aimsGiven the costs of alcohol to society, it is important to evaluate whether local alcohol licensing decisions can mitigate the effects of alcohol misuse. Robust natural experiment evaluations of the impact of individual licensing decisions could potentially inform and improve local decision-making. We aimed to assess whether alcohol licensing decisions could be evaluated at small spatial scale by using a causal inference framework.

designThree natural experiments. SETTING AND

participantsThree English local areas of 1000-15 000 people each. INTERVENTION AND COMPARATOR: The case study interventions were (i) the closure of a nightclub following reviews; (ii) closure of a restaurant/nightclub following reviews and (iii) implementation of new local licensing guidance (LLG). Trends in outcomes were compared with synthetic counterfactuals created using Bayesian structural time-series. MEASUREMENTS: Time-series data were obtained on emergency department admissions, ambulance call-outs and alcohol-related crime at the Lower or Middle Super Output geographical aggregation level.

findingsClosure of the nightclub led to temporary 4-month reductions in antisocial behaviour (-18%; 95% credible interval - 37%, -4%), with no change in other outcomes. Closure of the restaurant/nightclub did not lead to measurable changes in outcomes. The new licensing guidance led to small reductions in drunk and disorderly behaviour (nine of a predicted 21 events averted), and the unplanned end of the LLG coincided with an increase in domestic violence of two incidents per month.

conclusionsThe impact of local alcohol policy, even at the level of individual premises, can be evaluated using a causal inference framework. Local government actions such as closure or restriction of alcohol venues and alcohol licensing may have a positive impact on health and crime in the immediate surrounding area.

Indexed as

Alcohol DrinkingAlcoholic BeveragesBayes TheoremCausalityCrimeEnglandHospitalizationHumansLicensureLocal GovernmentPublic PolicyViolenceAlcohol licensingBayesian analysiscounterfactualscrimenatural experimentspublic healthsynthetic controls

Identifiers

PMID32045079
PMCPMC7586832
OpenAlexW3005994305

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.