Evidence map›Paper›PMID 37527374›Full record

ArticleThe western journal of emergency medicine2023

Impact of Care Initiation Model on Emergency Department Orders and Operational Metrics: Cohort Study.

Andy Hung-Yi Lee, Rebecca E Cash, Alice Bukhman, Dana Im, Damarcus Baymon, Leon D Sanchez, Paul C Chen

Abstract read
In one paragraph

Article in The western journal of emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Andy Hung-Yi LeeMassachusetts General Hospital, Department of Emergency Medicine, Boston, Massachusetts, USA.
Rebecca E CashHarvard Medical School, Boston, Massachusetts, USA.
Alice BukhmanBrigham and Women's Faulkner's Hospital, Department of Emergency Medicine, Jamaica Plain, Massachusetts, USA.
Dana ImBrigham and Women's Hospital, Department of Emergency Medicine, Boston, Massachusetts, USA.
Damarcus BaymonBrigham and Women's Faulkner's Hospital, Department of Emergency Medicine, Jamaica Plain, Massachusetts, USA.
Leon D SanchezBrigham and Women's Faulkner's Hospital, Department of Emergency Medicine, Jamaica Plain, Massachusetts, USA.
Paul C ChenBrigham and Women's Hospital, Department of Emergency Medicine, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEmergency departments (ED) employ many strategies to address crowding and prolonged wait times. They include front-end Care Initiation and clinician-in-triage models that start the diagnostic and therapeutic process while the patient waits for a care space in the ED. The objective of this study was to quantify the impact of a Care Initiation model on resource utilization and operational metrics in the ED.

methodsWe performed a retrospective analysis of ED visits at our institution during October 2021. Baseline characteristics were compared with Chi-square and quantile regression. We used t-tests to calculate unadjusted difference in outcome measures, including number of laboratory tests ordered and average time patients spent in the waiting room and the ED treatment room, and the time from arrival until ED disposition. We performed propensity score analysis using matching and inverse probability weighting to quantify the direct impact of Care Initiation on outcome measures.

resultsThere were 2,407 ED patient encounters, 1,191 (49%) of whom arrived during the hours when Care Initiation was active. A total of 811 (68%) of these patients underwent Care Initiation, while the remainder proceeded directly to the main treatment area. Patients were more likely to undergo Care Initiation if they had lower acuity and lower risk of admission, and if the ED was busier as measured by the number of recent arrivals and percentage of occupied ED beds. After adjusting for patient-specific and department-level covariates, Care Initiation did not increase the number of diagnostic laboratory tests ordered. Care Initiation was associated with increased waiting room time by 1.8 hours and longer time from arrival until disposition by 1.3 hours, but with decreased time in the main treatment area by 0.6 hours, which represents a 15% reduction.

conclusionCare Initiation was associated with a 15% reduction in time spent in the main ED treatment area but longer waiting room time and longer time until ED disposition without significantly increasing the number of laboratory studies ordered. While previous studies produced similar results with Care Initiation models accessing all diagnostic modalities including imaging, our study demonstrates that a more limited Care Initiation model can still result in operational benefits for EDs.

Indexed as

BenchmarkingEmergency Service, HospitalCohort StudiesCrowdingHumansRetrospective StudiesTime FactorsTriage

Identifiers

PMID37527374
PMCPMC10393454

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LicenceCC BY
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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.