Evidence map›Paper›PMID 41380057›Full record

ArticleThe western journal of emergency medicine2025

Patterns in Duration of Emergency Department Boarding and Variation by Sociodemographic Factors.

Christiana K Prucnal, Melissa A Meeker, Martin Copenhaver, Paul S Jansson, Rebecca E Cash, William Hillmann, Steven Knuesel, Wendy Macias-Konstantopoulos, Jonathan D Sonis

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Article in The western journal of emergency medicine, 2025. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Christiana K PrucnalBrigham and Women's Hospital, Department of Emergency Medicine, Boston, Massachusetts.
Melissa A MeekerMassachusetts General Hospital, Department of Emergency Medicine, Boston, Massachusetts.
Martin CopenhaverJohns Hopkins University School of Medicine, Department of Emergency Medicine, Baltimore, Maryland.
Paul S JanssonHarvard Medical School, Boston, Massachusetts.
Rebecca E CashHarvard Medical School, Boston, Massachusetts.
William HillmannHarvard Medical School, Boston, Massachusetts.
Steven KnueselHarvard Medical School, Boston, Massachusetts.
Wendy Macias-KonstantopoulosHarvard Medical School, Boston, Massachusetts.
Jonathan D SonisHarvard Medical School, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEmergency department (ED) boarding negatively affects patient outcomes, increasing length of stay, hallway care, and mortality. Prior research found disparities in capacity metrics like hallway care based on patient race and ethnicity. However, whether boarding differs by demographics is not well characterized. We examined boarding variation by sociodemographic factors in a hospital with a standardized bed-prioritization process. We hypothesized that a structured inpatient assignment method may be associated with reduced boarding inequity.

methodsThis single-center, retrospective, cohort study included adult patients boarding in the ED after admission to the non-intensive care inpatient medicine service between February 2020-February 2023 at an urban, academic, tertiary-care hospital with > 110,000 annual ED visits. Primary outcome was time from admission order to inpatient bed transport. Patient demographics (age, sex, race/ethnicity, language, insurance, and housing status), visit characteristics (Emergency Severity Index, time, and day), and bed request features (telemetry, sitter need, and isolation precaution) were obtained via the medical record. We assessed for bivariate relationships between boarding time and demographics with descriptive statistics and analysis of variance using adjusted and unadjusted regression analyses with generalized estimating equations to account for patient-level correlation.

resultsIn total, 22,291 encounters were included. Average age was 64 (SD ±19) years, and 47% were female. Approximately 12% identified as Hispanic, 70% as non-Hispanic White, and 10% as non-Hispanic Black. Most (97%) boarded ≥ 120 minutes. In adjusted analyses, patients with Medicaid waited an additional 85 minutes (95% CI 49-121), and patients with Medicare waited an additional 67 minutes (95% CI 32-103) compared to those with commercial coverage (both P < .001, respectively). Non-Hispanic Black patients boarded 14 minutes longer (95% CI 22-51), and non-English primary language speakers boarded 15 minutes longer (95% CI 17-47) than non-Hispanic White patients and English primary language speakers, respectively, although these two findings were not statistically significant.

conclusionAmong adult patients admitted to the inpatient medicine service, non-commercial insurance such as Medicaid and Medicare was significantly associated with longer ED boarding, whereas race/ethnicity and primary language were not. Further study should determine whether these findings are replicated elsewhere, how this impacts patients, and whether targeted intervention can reduce inequities.

Indexed as

Emergency Service, HospitalPatient AdmissionAdultAgedFemaleHumansLength of StayMaleMiddle AgedRetrospective StudiesSociodemographic FactorsSocioeconomic FactorsTime FactorsUnited States

Identifiers

PMID41380057
PMCPMC12698171

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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.