Evidence map›Paper›PMID 41646517›Full record

ArticleThe journal of climate change and health

Do social vulnerability indices correlate with extreme heat health outcomes?

Sahar Derakhshan, David P Eisenman, Rupa Basu, Travis Longcore

Abstract read
In one paragraph

Article in The journal of climate change and health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

4 authors.

Sahar DerakhshanInstitute of the Environment and Sustainability, University of California, 300 LaKretz Hall, Los Angeles, CA 90095, USA.
David P EisenmanDavid Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Rupa BasuOffice of Environmental Health Hazard Assessment, California Environmental Protection Agency, CA, USA.
Travis LongcoreInstitute of the Environment and Sustainability, University of California, 300 LaKretz Hall, Los Angeles, CA 90095, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSeveral frameworks exist to measure vulnerability to extreme heat events using a health equity approach, but little evidence validates these measures and their applications. We investigated the degree to which social vulnerability measures and their constituent elements correlate with excess emergency room visits as an outcome measure.

methodsThe relationship between six commonly used social vulnerability indicators and measured excess emergency room visit rates (processed by including heat-related illnesses and all-internal causes diagnosis, with considerations for age and heat days) was tested through geospatial analytics and statistical regressions, for both California and Los Angeles County.

resultsThe vulnerability indicators and the outcome measure were significantly positively associated at the census tract-level but weaker (∼0.2 r

conclusionThe findings identify communities that are overburdened by heat and pollution and highlight the need for use of both social vulnerability and indicators of adverse outcomes from excessive heat. Patterns are found across all measures that suggest that populations facing accessibility barriers may be less likely to visit emergency rooms. This suggestion needs to be tested in other environmental settings to draw broader conclusions but has direct implications for environmental scientists and mitigation planners who use these methods.

Indexed as

Climate changeEnvironmental justiceExtreme heatHeat burdenHeat vulnerability

Identifiers

PMID41646517
PMCPMC12851383

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.