Evidence map›Paper›PMID 28321590›Full record

ArticleInternational journal of biometeorology2017

Extreme climatic conditions and health service utilisation across rural and metropolitan New South Wales.

Edward Jegasothy, Rhydwyn McGuire, John Nairn, Robert Fawcett, Benjamin Scalley

Abstract read
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In one paragraph

Article in International journal of biometeorology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 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

23 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
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  9. Excess mortality associated with extreme heat in Rio de Janeiro, Brazil, 2023.Revista panamericana de salud publica = Pan American journal of public health · 2025
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  19. Performance of Excess Heat Factor Severity as a Global Heatwave Health Impact Index.International journal of environmental research and public health · 2018
    Article
  20. Regional morbidity and mortality during heatwaves in South Australia.International journal of biometeorology · 2018
    Article
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.

Edward JegasothyNSW Biostatistics Training Program, NSW Ministry of Health, Sydney, NSW, Australia. ejega@doh.health.nsw.gov.au.
Rhydwyn McGuireCentre for Epidemiology and Evidence, NSW Ministry of Health, Sydney, NSW, Australia.
John NairnAustralian Bureau of Meteorology, Adelaide, South Australia, Australia.
Robert FawcettAustralian Bureau of Meteorology, Melbourne, VIC, Australia.
Benjamin ScalleyHealth Protection NSW, NSW Health, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Periods of successive extreme heat and cold temperature have major effects on human health and increase rates of health service utilisation. The severity of these events varies between geographic locations and populations. This study aimed to estimate the effects of heat waves and cold waves on health service utilisation across urban, regional and remote areas in New South Wales (NSW), Australia, during the 10-year study period 2005-2015. We divided the state into three regions and used 24 over-dispersed or zero-inflated Poisson time-series regression models to estimate the effect of heat waves and cold waves, of three levels of severity, on the rates of ambulance call-outs, emergency department (ED) presentations and mortality. We defined heat waves and cold waves using excess heat factor (EHF) and excess cold factor (ECF) metrics, respectively. Heat waves generally resulted in increased rates of ambulance call-outs, ED presentations and mortality across the three regions and the entire state. For all of NSW, very intense heat waves resulted in an increase of 10.8% (95% confidence interval (CI) 4.5, 17.4%) in mortality, 3.4% (95% CI 0.8, 7.8%) in ED presentations and 10.9% (95% CI 7.7, 14.2%) in ambulance call-outs. Cold waves were shown to have significant effects on ED presentations (9.3% increase for intense events, 95% CI 8.0-10.6%) and mortality (8.8% increase for intense events, 95% CI 2.1-15.9%) in outer regional and remote areas. There was little evidence for an effect from cold waves on health service utilisation in major cities and inner regional areas. Heat waves have a large impact on health service utilisation in NSW in both urban and rural settings. Cold waves also have significant effects in outer regional and remote areas. EHF is a good predictor of health service utilisation for heat waves, although service needs may differ between urban and rural areas.

Indexed as

AmbulancesCitiesEmergency Service, HospitalExtreme ColdExtreme HeatHealth ServicesHumansMortalityNew South WalesRural PopulationUrban PopulationCold WaveEmergency Department PresentationHealth Service UtilisationHeat WaveWorld Meteorological Organization

Identifiers

What OpenQuestion holds

Textmetadata
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.