Evidence map›Paper›PMID 39119025›Full record

ArticleHeart rhythm O22024

Interhospital variability in hospital admissions for patients with low-risk syncope presenting to the emergency department.

Anthony J Mazzella, Brian S Wood, Jagroop Doad, Michael J Hendrickson, Lindsey Rosman, Anil K Gehi

Abstract read
In one paragraph

Article in Heart rhythm O2, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Anthony J MazzellaDivision of Cardiology, Department of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Brian S WoodThe University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina.
Jagroop DoadCampbell University School of Osteopathic Medicine, Lillington, North Carolina.
Michael J HendricksonDepartment of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Lindsey RosmanDivision of Cardiology, Department of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Anil K GehiDivision of Cardiology, Department of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Guidelines and risk scores have sought to standardize the management of syncope in the emergency department (ED), but variation in practice remains. Objective: The purpose of this study was to explore factors associated with admission for patients presenting to the ED with low-risk syncope. Methods: Our study population included adult patients in the Nationwide Emergency Department Sample between 2006 and 2019 who presented to an ED with a primary diagnosis of syncope. Multivariable hierarchical logistic regression analyses determined the association of patient or hospital factors with admission. Reference effect measures methodology assessed the relative contributions of patient, hospital, and unmeasured hospital factors. Results: Of the 3,206,739 qualifying encounters during the study period, 804,398 (25.1%) met low-risk criteria. Of these patients, 20,260 were admitted to the hospital (2.5%). Factors associated with increased odds of admission included increasing age and weekend presentation to the hospital, while female sex, lack of medical insurance, hospital region, teaching status, and higher ED volume decile were associated with lower odds of admission. Reference effect measures methodology demonstrated that unmeasured site variability contributed the widest range of odds for admission (odds ratio [OR] 5th percentile vs 95th percentile 0.23-4.38) compared with the composite patient (OR 0.33-3.68) or hospital (OR 0.65-1.30) factors. Conclusion: Admission patterns for low-risk syncope varies widely across institutions. Unmeasured site variation contributes significantly to the variability in admission rates, suggesting which hospital a patient presents to plays a disproportionate role in admission decisions. Further guidance to reduce practice variation in syncope care in the ED is needed.

Indexed as

Emergency departmentHealth care utilizationHospital admissionsReference effect measures methodologySyncope

Identifiers

PMID39119025
PMCPMC11305874

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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.