Evidence map›Paper›PMID 31263099›Full record

ArticleScientific data2019

Open data on health-related neighbourhood features in Great Britain.

Konstantinos Daras, Mark A Green, Alec Davies, Benjamin Barr, Alex Singleton

Abstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  7. Review
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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

5 authors.

Konstantinos DarasDepartment of Geography and Planning, University of Liverpool, Liverpool, UK. konstantinos.daras@liverpool.ac.uk.ORCID http://orcid.org/0000-0002-4573-4628
Mark A GreenDepartment of Geography and Planning, University of Liverpool, Liverpool, UK.
Alec DaviesDepartment of Geography and Planning, University of Liverpool, Liverpool, UK.
Benjamin BarrInstitute of Psychology Health and Society, University of Liverpool, Liverpool, UK.
Alex SingletonDepartment of Geography and Planning, University of Liverpool, Liverpool, UK.

Funding

RCUK | Economic and Social Research Council (ESRC) 1647204RCUK | Economic and Social Research Council (ESRC) ES/L011840/1
6 · The paper itself

Abstract

Our study details the creation of a series of national open source low-level geographical measures of accessibility to health-related features for Great Britain. We create 14 measures across three domains: retail environment (fast food outlets, gambling outlets, pubs/bars/nightclubs, off-licences, tobacconists), health services (General Practitioners, pharmacies, dentists, hospitals, leisure centres) and the physical environment (green space and air quality). Using the network analysis process of Routino, postcode accessibility (km) to each of these features were calculated for the whole of Great Britain. An average score for each domain was calculated and subsequently combined to form an overall Index highlighting 'Access to Healthy Assets and Hazards'. We find the most accessible healthy areas are concentrated in the periphery of the urban cores, whilst the least accessible healthy areas are located in the urban cores and the rural areas. The open data resource is important for researchers and policy makers alike with an interest in measuring the role of spatial features on health.

Indexed as

HealthEnvironmentHealth Services ResearchHumansPublic HealthResidence CharacteristicsUnited Kingdom

Identifiers

PMID31263099
PMCPMC6602943

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.