Evidence map›Paper›PMID 36466715›Full record

ArticleCritical care research and practice2022

Examination of Impact of After-Hours Admissions on Hospital Resource Use, Patient Outcomes, and Costs.

Charlenn Skead, Laura H Thompson, Hanna Kuk, Ariel Hendin, Moosa Yasir Hamood Al Abri, Yasmeen Choudhri, Tim Ramsay, Brent Herritt, Kwadwo Kyeremanteng

Abstract read
In one paragraph

Article in Critical care research and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Charlenn SkeadDepartment of Medicine, University of Ottawa, Ottawa, Ontario, Canada.ORCID https://orcid.org/0000-0001-5716-3132
Laura H ThompsonOttawa Hospital Research Institute, Ottawa, Ontario, Canada.
Hanna KukDepartment of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Ariel HendinDepartment of Emergency Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Moosa Yasir Hamood Al AbriDivision of Critical Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Yasmeen ChoudhriOttawa Hospital Research Institute, Ottawa, Ontario, Canada.
Tim RamsayOttawa Hospital Research Institute, Ottawa, Ontario, Canada.
Brent HerrittDepartment of Critical Care Medicine, Comox Valley Hospital, Courtenay, Canada.
Kwadwo KyeremantengDivision of Critical Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nighttime and weekends in hospital and intensive care unit (ICU) contexts are thought to present a greater risk for adverse events than daytime admissions. Although some studies exist comparing admission time with patient outcomes, the results are contradictory. No studies currently exist comparing costs with the time of admission. We investigated the differences in-hospital mortality, ICU length of stay, ICU mortality, and cost between daytime and nighttime admissions. Methods: All adult patients (≥18 years of age) admitted to a large academic medical-surgical ICU between 2011 and 2015 were included. Admission cohorts were defined as daytime (8:00-16:59) or nighttime (17:00-07:59). Student's Results: The majority of admissions occurred during nighttime hours (69.5%) with no difference in the overall Elixhauser comorbidity score between groups ( Conclusion: Daytime admissions were associated with a higher severity of illness, mortality rate, and ICU cost. To further account for the effect of staffing differences during off-hours, it may be beneficial to compare weekday and weeknight admission times with associated mortality rates.

Identifiers

PMID36466715
PMCPMC9711991

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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.