Evidence map›Paper›PMID 39578750›Full record

ArticleInternational journal of emergency medicine2024

Airway, breathing, cellphone: a new vital sign?

Samuel I Garcia, Ashley Jacobson, Gregory P Moore, Jesse Frank, Wyatt Gifford, Samantha Johnson, Donell Lazaro-Paulina, Aidan Mullan, Alexander S Finch

Abstract read
In one paragraph

Article in International journal of emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Samuel I GarciaDivision of Pulmonary, Critical Care and Sleep Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA. garcia.samuel@mayo.edu.
Ashley JacobsonDepartment of Emergency Medicine, Mayo Clinic College of Medicine and Science, Eau Claire, WI, USA.
Gregory P MooreDepartment of Emergency Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.
Jesse FrankDepartment of Emergency Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.
Wyatt GiffordDepartment of Emergency Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.
Samantha JohnsonDepartment of Emergency Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.
Donell Lazaro-PaulinaDepartment of Emergency Medicine, Mayo Clinic College of Medicine and Science, Austin, MN, USA.
Aidan MullanDepartment of Biostatistics, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.
Alexander S FinchDepartment of Emergency Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn emergency medicine, triage encompasses more than the initial prioritization of treatment; it also includes decisions about the most suitable level of care and disposition for each patient. However, the increasing use of mobile technology by patients in the emergency department (ED) introduces a new factor. This study aims to explore the relationship between patients' cellphone use at the time of initial assessment and final disposition in the ED.

methodsA prospective, cross-sectional study was conducted on 292 patients who presented to the ED between 9/1/2021 and 8/9/2022. Patients were stratified into two cohorts based on their behavior during the initial assessment: actively using a cell phone (n = 32) or not using a cell phone (n = 259). Final disposition was dichotomously recorded as admission or discharge. Hospital admission, hospital observation, and admission to the ED observation unit were consolidated into the combined category of admission.

resultsPatients not actively using their cell phone on initial assessment exhibited a discharge rate of 64%, while those engaged with their cellphones displayed notably higher dismissal rates at 94%. The calculated odds ratio (OR) of 8.4 (95% confidence interval: 1.96-36.0, p = 0.004) underscores a significantly heightened likelihood of dismissal among individuals actively using their cellphones, suggesting a potential association between cellphone use and a reduced probability of hospital admission.

conclusionThe study suggests an association between cellphone use during initial ED assessment and higher discharge rates. While this introduces a novel concept, the study's potential contribution to more informed and efficient triage decisions warrants careful consideration in future research and clinical applications.

Identifiers

PMID39578750
PMCPMC11583604

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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.