Evidence map›Paper›PMID 40756836›Full record

ArticleJournal of the Royal Society of New Zealand2025

Automating advocacy: creating local alcohol harm risk profiles to assist community input into alcohol license applications.

Jessie Colbert, Nick Young, Daniel J Exeter

Abstract read
In one paragraph

Article in Journal of the Royal Society of New Zealand, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jessie ColbertSchool of Population Health, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-3906-9657
Nick YoungCentre for eResearch, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-5261-4042
Daniel J ExeterSchool of Population Health, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-1061-5925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The physical (spatial) and temporal availability of alcohol is a key determinant of alcohol use and harm. Community input into local alcohol licensing decisions is vital and may be supported by online tools that provide information on alcohol harm risk for local areas. We developed an online tool to provide data on area-level factors (deprivation and ethnic composition) shown to increase a community's risk of alcohol-related harm from the surrounding density and proximity of licensed premises. Data were derived using the Index of Multiple Deprivation (IMD18), the New Zealand Index of Deprivation (NZDep18), and the New Zealand Census 2018. In addition, we mapped proximity to sensitive sites (schools, hospitals and Marae [Māori meeting grounds]) and existing licensed alcohol premises. In this paper, we demonstrate the development and use of our automated alcohol reporting tool that integrates numerous secondary data sources related to alchohol-related risks in the community within a 1 and 2 km radius (buffer) of an address seeking an alcohol off-license. Online tools leveraging geospatial data may assist community-based organisations to actively participate in local alcohol licensing decision processes using a robust evidence-base and support efforts to ensure that the impact of licensing decisions on equity is explicitly considered.

Indexed as

alcohol licensingalcohol-related harmcommunity advocacydata zonesDeprivationgeographyIMD18inequitiesNZDep

Identifiers

PMID40756836
PMCPMC12315180

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.