Evidence map›Paper›PMID 35135532›Full record

ArticleBMC health services research2022

Hospital factor and prognosis of COVID-19 in New York City, the United States of America: insights from a retrospective cohort study.

Mai Takahashi, Natalia N Egorova, Masao Iwagami, Toshiki Kuno

Abstract read
In one paragraph

Article 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 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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.

Mai TakahashiDepartment of Medicine, Icahn School of Medicine at Mount Sinai, Mount Sinai Beth Israel, New York, NY, USA.
Natalia N EgorovaDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, USA.
Masao IwagamiDepartment of Health Services Research, University of Tsukuba, Tsukuba, Japan.
Toshiki KunoDepartment of Medicine, Icahn School of Medicine at Mount Sinai, Mount Sinai Beth Israel, New York, NY, USA. kuno-toshiki@hotmail.co.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApril 22nd, 2020, New York City (NYC) was the epicenter of the pandemic of Coronavirus disease 2019 (COVID-19) in the US with differences of death rates among its 5 boroughs. We aimed to investigate the difference in mortality associated with hospital factors (teaching versus community hospital) in NYC.

designRetrospective cohort study.

methodsWe obtained medical records of 6509 hospitalized patients with laboratory confirmed COVID-19 from the Mount Sinai Health System including 4 teaching hospitals in Manhattan and 2 community hospitals located outside of Manhattan (Queens and Brooklyn) retrospectively. Propensity score analysis using inverse probability of treatment weighting (IPTW) with stabilized weights was performed to adjust for differences in the baseline characteristics of patients initially presenting to teaching or community hospitals, and those who were transferred from community hospitals to teaching hospitals.

resultsAmong 6509 patients, 4653 (72.6%) were admitted in teaching hospitals, 1462 (22.8%) were admitted in community hospitals, and 293 (4.6%) were originally admitted in community and then transferred into teaching hospitals. Patients in community hospitals had higher mortality (42.5%) than those in teaching hospitals (17.6%) or those transferred from community to teaching hospitals (23.5%, P < 0.001). After IPTW-adjustment, when compared to patients cared for at teaching hospitals, the hazard ratio (HR) and 95% confidence interval (CI) of mortality were as follows: community hospitals 2.47 (2.03-2.99); transfers 0.80 (0.58-1.09)).

conclusionsPatients admitted to community hospitals had higher mortality than those admitted to teaching hospitals.

Indexed as

COVID-19HospitalizationHospital MortalityHospitals, CommunityHumansNew York CityPrognosisRetrospective StudiesSARS-CoV-2United StatesCommunity hospitalCOVID-19Hospital factorTeaching hospital

Identifiers

PMID35135532
PMCPMC8826663

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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.