Evidence map›Paper›PMID 36156243›Full record

ArticleHealth services research2023

Association of emergency department crowding with inpatient outcomes.

Charleen Hsuan, Joel E Segel, Renee Y Hsia, Yinan Wang, Jeannette Rogowski

Abstract read
In one paragraph

Article in Health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
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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

5 authors.

Charleen HsuanDepartment of Health Policy and Administration, Pennsylvania State University, State College, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-8720-2323
Joel E SegelDepartment of Health Policy and Administration, Pennsylvania State University, State College, Pennsylvania, USA.
Renee Y HsiaDepartment of Emergency Medicine, University of California, San Francisco, California, USA.
Yinan WangDepartment of Health Policy and Administration, Pennsylvania State University, State College, Pennsylvania, USA.
Jeannette RogowskiDepartment of Health Policy and Administration, Pennsylvania State University, State College, Pennsylvania, USA.

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Brian Thiede · 2016 to 2026
$9.0M
The Impact of Cardiac Care Regionalization on Access, Treatment, and OutcomesR01HL134182 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Renee Yuen-Jan Hsia, YU-CHU SHEN · 2016 to 2026
$4.1M
Structural Racism and Discrimination in Emergency Department Transfers: Unintended Consequences of the Emergency Medical Treatment and Labor Act (EMTALA)R01MD017495 · NIMHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHARLEEN HSUAN · 2022 to 2026
$3.3M
Effects of Percutaneous Coronary Intervention Lab Openings and Closures on Patients, Hospitals, and CommunitiesR01HL114822 · NHLBI · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI HSIA, RENEE YUEN-JAN, SHEN, YU-CHU · 2012 to 2020
$2.8M
NCATS NIH HHS UL1 TR002014NHLBI NIH HHS R01 HL114822NHLBI NIH HHS R01 HL134182NICHD NIH HHS P2C HD041025NIMHD NIH HHS R01 MD017495
6 · The paper itself

Abstract

objectiveTo examine the association of higher emergency department (ED) census with inpatient outcomes on the day of discharge (inpatient length of stay, in-hospital mortality, ED revisits, and readmissions). DATA SOURCES AND STUDY

settingAll-payer ED and inpatient discharge data and hospital characteristics data from all non-federal, general, and acute care hospitals in the state of California from October 1, 2015 to December 31, 2017. STUDY

designIn retrospective data analysis, we examined whether ED census was associated with inpatient outcomes for all inpatients, including those not admitted through the ED. The main predictor variable was ED census on day of discharge, categorized based on hospital year and day of week. Separate linear regression models with robust SEs and hospital fixed effects examined the association of ED census on inpatient outcomes (length of stay, 3-day ED revisit, 30-day all-cause readmission, in-hospital mortality), controlling for patient and visit-level factors. We stratified analyses by whether admission was elective or unscheduled. EXTRACTION

methodsInpatient discharges in non-federal, general medical hospitals with EDs. PRINCIPAL

findingsWe examined 5,784,253 discharges. The adjusted model showed that, compared to when the ED was below the median, higher ED census on the day of discharge was associated with longer inpatient length of stay, lower readmissions, and higher in-hospital mortality (90th percentile for length of stay: +0.8% [95% confidence interval, CI: +0.6% to +1.1%]; readmissions: -0.59 percentage points [or -5.6%] [95% CI: -0.0071 to -0.0048]; mortality: +0.14 percentage points [or +5.4%] [95% CI: +0.0009 to +0.0018]). [Correction added on 18 November 2022, after first online publication: '[odds rato, OR -5.6%]' and '[OR +5.4%]' of the preceding sentence have been corrected to '[or -5.6%]' and '[or +5.4%]', respectively, in this version.] Results for length of stay were primarily driven by patients with elective admissions, while results for readmissions and in-hospital mortality were primarily driven by patients with unscheduled admissions.

conclusionsThis study suggests that ED crowding may affect inpatients throughout the hospital, even patients who are already admitted to the hospital.

Indexed as

InpatientsPatient DischargeEmergency Service, HospitalHospital MortalityHumansLength of StayPatient ReadmissionRetrospective StudiesCaliforniacrowdingemergency departmenthospital mortalityhospitalslength of staypatient readmission

Identifiers

PMID36156243
PMCPMC10315392

What OpenQuestion holds

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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.