Evidence map›Paper›PMID 39347018›Full record

ArticleGeoHealth2024

Changes in Healthcare Utilization After the 2022 Seoul Metropolitan Flood: Applying a Generalized Synthetic Control Approach.

Marnpyung Jang, Jaeyoung Yoon, Yeseul Yun, Jaiyong Kim, Hoyeon Jang, Tarik Benmarhnia, Changwoo Han

Abstract read
In one paragraph

Article in GeoHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Marnpyung JangChungnam National University College of Medicine Daejeon Korea.
Jaeyoung YoonChungnam National University College of Medicine Daejeon Korea.ORCID https://orcid.org/0000-0003-0723-4611
Yeseul YunNARA Space Technology Seoul Korea.
Jaiyong KimDepartment of Big Data Research and Development National Health Insurance Service Wonju Korea.
Hoyeon JangDepartment of Big Data Research and Development National Health Insurance Service Wonju Korea.
Tarik BenmarhniaScripps Institution of Oceanography UC San Diego La Jolla CA USA.
Changwoo HanScripps Institution of Oceanography UC San Diego La Jolla CA USA.ORCID https://orcid.org/0000-0002-5127-4680

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Floods can have adverse health effects and impose a burden on healthcare systems. However, the potential consequences of floods on specific medical causes in densely populated metropolitan cities has not been characterized yet. Therefore, we evaluate the changes in healthcare utilization patterns after the 2022 Seoul flood using nationwide health insurance data. Based on the flood inundation map, districts within the flooded municipalities of Seoul were classified as severe-(

Indexed as

external injuryfloodhealth effecthospital usesynthetic control

Identifiers

PMID39347018
PMCPMC11437896

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.