Evidence map›Paper›PMID 38344132›Full record

ArticleThe Lancet regional health. Western Pacific2024

Timely accessibility to healthcare resources and heatwave-related mortality in 7 major cities of South Korea: a two-stage approach with principal component analysis.

Jungsil Lee, Jieun Min, Whanhee Lee, Kyongmin Sun, Won Chul Cha, Chaerin Park, Cinoo Kang, Juyeon Yang, Dohoon Kwon, Youngrin Kwag and 3 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

13 authors.

Jungsil LeeDepartment of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
Jieun MinDepartment of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
Whanhee LeeSchool of Biomedical Convergence Engineering, College of Information and Biomedical Engineering, Pusan National University, Yangsan, Republic of Korea.
Kyongmin SunDepartment of Emergency Medicine, Ewha Womans University Seoul Hospital, Seoul, Republic of Korea.
Won Chul ChaDepartment of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Chaerin ParkDepartment of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Cinoo KangDepartment of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Juyeon YangBiostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea.
Dohoon KwonDepartment of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Youngrin KwagDepartment of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
Jongmin OhDepartment of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
Jae-Hong RyooDepartment of Occupational and Environmental Medicine, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Eunhee HaDepartment of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Due to the ongoing effects of climate change, the incidence of heatwave-related mortality is rising globally. Improved allocation and utilization of healthcare resources could help alleviate this issue. This study aimed to identify healthcare resource factors associated with heatwave-related mortality in seven major cities of South Korea. Methods: We analyzed daily time-series data on mean temperature and all-cause mortality from 2011 to 2019. Using principal component analysis (PCA), we clustered district-level healthcare resource indicators into three principal components (PCs). To estimate district-specific heatwave-mortality risk, we used a distributed lag model with a quasi-Poisson distribution. Furthermore, a meta-regression was performed to examine the association between healthcare resources and heatwave-mortality risk. Findings: A total of 310,363 deaths were analyzed in 74 districts. The lag-cumulative heatwave-related mortality (RRs) ranged from 1.12 (95% confidence interval [CI]: 1.07, 1.17) to 1.21 (95% CI 1.05, 1.38), depending on the definitions used for heatwaves. Of the three PCs for healthcare resources (PC1: pre-hospital emergency medical service, PC2: hospital resources, PC3: timely access), timely access was associated with reduced risk of heatwave-related mortality, particularly among the elderly. Specifically, timely access to any emergency room (ER) exhibited the strongest association with lower heatwave-related mortality. Interpretation: Our findings suggest that timely access to any ER is more effective in reducing heatwave-related mortality risk than access to higher-level healthcare facilities, especially among the elderly. Therefore, healthcare resource factors and ER accessibility should be prioritized when identifying vulnerable populations for heatwaves, along with known individual and socio-demographic factors. Funding: This work was supported by the Research Program funded by the Korea Disease Control and Prevention Agency (2022-12-303), the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2022R1A2C2092353) and the MD-PhD/Medical Scientist Training Program through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea.

Indexed as

AccessibilityClimate changeEmergency careExtreme temperaturesHealthcare serviceHeatwavesMortalityPrincipal component analysisResources

Identifiers

PMID38344132
PMCPMC10851204

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.