Evidence map›Paper›PMID 35902847›Full record

SynthesisBMC health services research2022

Systematic review of the impact of heatwaves on health service demand in Australia.

Hannah Mason, Jemma C King, Amy E Peden, Richard C Franklin

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 4 pooled it
9.4field-weighted citation impact, top 1% of its field
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

40 citing papers in PubMed, 4 syntheses or guidelines pooled it, 94 citations in OpenAlex.

  1. Pooled it
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  4. A Systematic Literature Review of the Impact of Climate Change on the Global Demand for Psychiatric Services.International journal of environmental research and public health · 2023
    Pooled it
  5. Article
  6. Rising Temperatures, Rising Calls: Environmental Heat's Burden on EMS in Boston at the City and Neighborhood Scales.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
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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 at 1 institution in 1 country.

Hannah MasonDiscipline of Public Health and Tropical Medicine, James Cook University, Townsville, Queensland, 4811, Australia.ORCID http://orcid.org/0000-0002-3362-0455
Jemma C KingDiscipline of Public Health and Tropical Medicine, James Cook University, Townsville, Queensland, 4811, Australia.ORCID http://orcid.org/0000-0003-2740-9861
Amy E PedenDiscipline of Public Health and Tropical Medicine, James Cook University, Townsville, Queensland, 4811, Australia.ORCID http://orcid.org/0000-0002-6424-1511
Richard C FranklinDiscipline of Public Health and Tropical Medicine, James Cook University, Townsville, Queensland, 4811, Australia. richard.franklin@jcu.edu.au.ORCID http://orcid.org/0000-0003-1864-4552
Australian Institute of Tropical Health and Medicine · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHeatwaves have been linked to increased levels of health service demand in Australia. This systematic literature review aimed to explore health service demand during Australian heatwaves for hospital admissions, emergency department presentations, ambulance call-outs, and risk of mortality. STUDY

designA systematic review to explore peer-reviewed heatwave literature published from 2000 to 2020. DATA SOURCES: Articles were reviewed from six databases (MEDLINE, Scopus, Web of Science, PsychINFO, ProQuest, Science Direct). Search terms included: heatwave, extreme heat, ambulance, emergency department, and hospital. Studies were included if they explored heat for a period of two or more consecutive days. Studies were excluded if they did not define a threshold for extreme heat or if they explored data only from workers compensation claims and major events. DATA SYNTHESIS: This review was prospectively registered with PROSPERO (# CRD42021227395 ). Forty-five papers were included in the final review following full-text screening. Following a quality assessment using the GRADE approach, data were extracted to a spreadsheet and compared. Significant increases in mortality, as well as hospital, emergency, and ambulance demand, were found across Australia during heatwave periods. Admissions for cardiovascular, renal, respiratory, mental and behavioural conditions exhibited increases during heatwaves. The most vulnerable groups during heatwaves were children (< 18 years) and the elderly (60+).

conclusionsHeatwaves in Australia will continue to increase in duration and frequency due to the effects of climate change. Health planning is essential at the community, state, and federal levels to mitigate the impacts of heatwaves on health and health service delivery especially for vulnerable populations. However, understanding the true impact of heatwaves on health service demand is complicated by differing definitions and methodology in the literature. The Excess Heat Factor (EHF) is the preferred approach to defining heatwaves given its consideration of local climate variability and acclimatisation. Future research should explore evidence-based and spatially relevant heatwave prevention programs. An enhanced understanding of heatwave health impacts including service demand will inform the development of such programs which are necessary to promote population and health system resilience.

Indexed as

Emergency Service, HospitalExtreme HeatAgedAmbulancesAustraliaChildHospitalizationHot TemperatureHumansAustraliaClimate changeDisaster healthExtreme heatHealth system

Identifiers

PMID35902847
PMCPMC9336006
OpenAlexW4288430656

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.