Evidence map›Paper›PMID 35122253›Full record

ArticleInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2022

Influence of the COVID-19 outbreak on transportation of pregnant women in an emergency medical service system: Population-based, ORION registry.

Koshi Ota, Daisuke Nishioka, Yusuke Katayama, Tetsuhisa Kitamura, Jun Masui, Kanna Ota, Masahiko Nitta, Tetsuya Matsuoka, Akira Takasu

Abstract read
In one paragraph

Article in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Influence of the COVID-19 outbreak on transportation of pregnant women in an emergency medical service system: Population-based, ORION registry.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2022
    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

9 authors.

Koshi OtaDepartment of Emergency Medicine, Osaka Medical and Pharmaceutical University, Takatsuki City, Osaka, Japan.
Daisuke NishiokaResearch and Development Center, Osaka Medical and Pharmaceutical University, Takatsuki City, Osaka, Japan.
Yusuke KatayamaThe Working Group to analyze the emergency medical care system in Osaka Prefecture, Osaka, Japan.
Tetsuhisa KitamuraThe Working Group to analyze the emergency medical care system in Osaka Prefecture, Osaka, Japan.
Jun MasuiOsaka Prefectural Government, Osaka, Japan.
Kanna OtaDepartment of Emergency Medicine, Osaka Medical and Pharmaceutical University, Takatsuki City, Osaka, Japan.
Masahiko NittaDepartment of Emergency Medicine, Osaka Medical and Pharmaceutical University, Takatsuki City, Osaka, Japan.
Tetsuya MatsuokaThe Working Group to analyze the emergency medical care system in Osaka Prefecture, Osaka, Japan.
Akira TakasuDepartment of Emergency Medicine, Osaka Medical and Pharmaceutical University, Takatsuki City, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus 2, has spread rapidly across the world.

objectiveTo assess the influence of the COVID-19 pandemic on the emergency medical service (EMS) for transportation of pregnant women by ambulance.

methodsThis study was a retrospective, descriptive study using the Osaka Emergency Information Research Intelligent Operation Network system, and included pregnant women transported by ambulance in Osaka Prefecture between January 1, 2018 and December 31, 2020. The main outcome of the study was difficulty in obtaining hospital acceptance for transfer of patients (difficult-to-transfer cases). We calculated the rates of difficult-to-transfer cases using univariate and multivariate analyses.

resultsOf the 1 346 457 total patients transported to hospitals by ambulance in Osaka Prefecture during the study period, pregnant women accounted for 2586 (909, 943, and 734, in 2018, 2019, and 2020, respectively). Logistic regression analysis revealed that pregnant women were negatively associated with difficult-to-transfer cases (adjusted OR 0.36, 95% CI 0.26-0.50). Compared with 2018, 2020 was significantly associated with difficult-to-transfer cases (adjusted OR 1.27, 95% CI 1.24-1.30).

conclusionPregnant women were consistently associated with reduced odds for being difficult-to-transfer cases. The COVID-19 pandemic might have influenced difficult-to-transfer cases in 2020.

Indexed as

COVID-19Emergency Medical ServicesFemaleHumansPandemicsPregnancyPregnant PeopleRegistriesRetrospective StudiesCOVID-19difficult-to-transfer casespandemicpregnant womenwomen of childbearing age

Identifiers

PMID35122253
PMCPMC9087768

What OpenQuestion holds

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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.