Evidence map›Paper›PMID 27625720›Full record

Observational studyThe western journal of emergency medicine2016

Wide Variability in Emergency Physician Admission Rates: A Target to Reduce Costs Without Compromising Quality.

Jeffrey J Guterman, Scott R Lundberg, Geoffrey P Scheib, Sandra G Gross-Schulman, Mark J Richman, Chien-Ju Wang, David A Talan

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in The western journal of emergency medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Emergency physician resource utilization varies by years of experience.Journal of the American College of Emergency Physicians open · 2024
    Article
  4. Article
  5. Article
  6. Michigan Emergency Department Leader Attitudes Toward and Experiences With Clinical Pathways to Guide Admission Decisions: A Mixed-methods Study.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2019
    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

7 authors at 5 institutions in 1 country.

Jeffrey J GutermanDavid Geffen School of Medicine at UCLA, Department of Medicine, Los Angeles, California; Los Angeles County Department of Health Services, Los Angeles, California.
Scott R LundbergDavid Geffen School of Medicine at UCLA, Department of Medicine, Los Angeles, California; Olive View-UCLA Medical Center, Department of Emergency Medicine, Sylmar, California; Los Angeles County Department of Health Services, Los Angeles, California.
Geoffrey P ScheibLos Angeles County Department of Health Services, Los Angeles, California.
Sandra G Gross-SchulmanLos Angeles County Department of Health Services, Los Angeles, California.
Mark J RichmanDavid Geffen School of Medicine at UCLA, Department of Medicine, Los Angeles, California; Northwell Health Long Island Jewish Medical Center, Department of Emergency Medicine, New Hyde Park, New York; Hofstra University School of Medicine, Department of Emergency Medicine, Hempstead, New York.
Chien-Ju WangLos Angeles County Department of Public Health, Los Angeles, California.
David A TalanDavid Geffen School of Medicine at UCLA, Department of Medicine, Los Angeles, California; Olive View-UCLA Medical Center, Department of Emergency Medicine, Sylmar, California; Los Angeles County Department of Health Services, Los Angeles, California.
Long Island Jewish Medical Center · USHofstra University · USLos Angeles County Department of Health Services · USLos Angeles County Department of Public Health · USOlive View-UCLA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAttending physician judgment is the traditional standard of care for emergency department (ED) admission decisions. The extent to which variability in admission decisions affect cost and quality is not well understood. We sought to determine the impact of variability in admission decisions on cost and quality.

methodsWe performed a retrospective observational study of patients presenting to a university-affiliated, urban ED from October 1, 2007, through September 30, 2008. The main outcome measures were admission rate, fiscal indicators (Medicaid-denied payment days), and quality indicators (15- and 30-day ED returns; delayed hospital admissions). We asked each Attending to estimate their inpatient admission rate and correlated their personal assessment with actual admission rates.

resultsAdmission rates, even after adjusting for known confounders, were highly variable (15.2%-32.0%) and correlated with Medicaid denied-payment day rates (p=0.038). There was no correlation with quality outcome measures (30-day ED return or delayed hospital admission). There was no significant correlation between actual and self-described admission rate; the range of mis-estimation was 0% to 117%.

conclusionEmergency medicine attending admission rates at this institution are highly variable, unexplained by known confounding variables, and unrelated to quality of care, as measured by 30-day ED return or delayed hospital admission. Admission optimization represents an important untapped potential for cost reduction through avoidable hospitalizations, with no apparent adverse effects on quality.

Indexed as

PhysiciansEmergency Service, HospitalHumansMedicaidOutcome Assessment, Health CarePatient AdmissionQuality of Health CareRetrospective StudiesUnited States

Identifiers

PMID27625720
PMCPMC5017840
OpenAlexW2512589959

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.