Evidence map›Paper›PMID 32416539›Full record

ArticleThe International journal on drug policy2020

Place management in off-premise alcohol outlets: Results of a multi-methods study in a six-city California area.

Lina Ghanem, Juliet P Lee, Natalie Sumetsky, Anna Pagano, Paul Gruenewald, Christina Mair

Abstract read
In one paragraph

Article in The International journal on drug policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Lina GhanemPrevention Research Center, Pacific Institute for Research and Evaluation, 2150 Shattuck Avenue #601, Berkeley CA 94704, United States. Electronic address: lghanem@prev.org.
Juliet P LeePrevention Research Center, Pacific Institute for Research and Evaluation, 2150 Shattuck Avenue #601, Berkeley CA 94704, United States. Electronic address: jlee@prev.org.
Natalie SumetskySchool of Public Health, University of Pittsburgh, 6136 Public Health, 130 DeSoto Street, Pittsburgh, PA 15261, United States. Electronic address: nms77@pitt.edu.
Anna PaganoPrevention Research Center, Pacific Institute for Research and Evaluation, 2150 Shattuck Avenue #601, Berkeley CA 94704, United States. Electronic address: apagano@prev.org.
Paul GruenewaldPrevention Research Center, Pacific Institute for Research and Evaluation, 2150 Shattuck Avenue #601, Berkeley CA 94704, United States. Electronic address: paul@prev.org.
Christina MairSchool of Public Health, University of Pittsburgh, 6136 Public Health, 130 DeSoto Street, Pittsburgh, PA 15261, United States. Electronic address: cmair@pitt.edu.

Funding

Transitions and Alcohol Use in the Later Lifespan: Environmental and Individual-level InfluencesP60AA006282 · NIAAA · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI PAUL J GRUENEWALD · 2003 to 2026
$41.2M
Impacts of Off-Premise Alcohol Outlets on Local Neighborhood Alcohol ProblemsR01AA023085 · NIAAA · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI LEE, JULIET P · 2015 to 2018
$1.5M
Explaining Local Impacts of Off-Premise Alcohol Outlets on ProblemsR01AA024759 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MAIR, CHRISTINA FURBER · 2016 to 2019
$1.3M
NIAAA NIH HHS P60 AA006282NIAAA NIH HHS R01 AA023085NIAAA NIH HHS R01 AA024759
6 · The paper itself

Abstract

backgroundAssociations between neighborhood crime and alcohol outlets are often theorized as resulting from poor place management. Barriers and supports to place management have been examined for on-premise (bars, restaurants) but not for off-premise alcohol outlets. Few studies have assessed place management issues across a range of off-premise outlet and neighborhood types, and none have included the perspectives of off-premise outlet managers themselves. Combining qualitative and quantitative methods within an ethnographic approach, we investigated barriers and supports to place management across off-premise outlets in a large urban area.

methodsWe unobtrusively assessed outlet operating characteristics including crime prevention strategies at all 403 off-premise outlets in six contiguous California cities; interviewed managers in 40 outlets; and conducted extensive naturalistic observations in 15 of these 40 outlets. We analyzed data for frequencies and thematic content.

resultsSmall and independently operated off-premise outlets were the most common type of outlet in our study, but demonstrated fewer resources and more challenges to place management compared to large and chain establishments. Security guards were more observed in large and chain outlets. Small and independent outlets were more likely to post signs prohibiting loitering and to enable surveillance of interior spaces. Problems most commonly cited by managers were theft and loitering. Challenges to place management included physical and verbal threats from customers and intoxicated persons, and insufficient law enforcement. Managers evidenced some ability to assert authority over interior, private space, but less so over exterior, public space.

conclusionsAlthough tasked with maintaining public health and safety, small and independent store managers reported challenges that are seldom acknowledged in policy or research literature. Managers may provide valuable insights on preventing and reducing neighborhood-level problems associated with off-premise alcohol outlets. Local communities should consider enhancing place management resources for managers of small and independent outlets.

Indexed as

Alcohol DrinkingAlcoholic BeveragesCaliforniaCitiesCommerceHumansResidence CharacteristicsAlcohol outletsCommunity alcohol systemsEthnography of place

Identifiers

PMID32416539
PMCPMC7321895

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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.