Evidence map›Paper›PMID 36565662›Full record

ArticleThe American journal of emergency medicine2023

The effect of increased emergency department demand on throughput times and disposition status for pediatric psychiatric patients.

Danielle Brathwaite, Angela Strain, Anna E Waller, Morris Weinberger, Sally C Stearns

Abstract read
In one paragraph

Article in The American 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 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. 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

5 authors.

Danielle BrathwaiteUniversity of North Carolina Gillings School of Global Public Health, Department of Health Policy and Management, Chapel Hill, NC, United States of America. Electronic address: danielle_brathwaite@med.unc.edu.
Angela StrainUniversity of North Carolina School of Medicine, Department of Emergency Medicine, Chapel Hill, NC, United States of America. Electronic address: angela_strain@med.unc.edu.
Anna E WallerUniversity of North Carolina School of Medicine, Department of Emergency Medicine & Carolina Center for Health Informatics, Chapel Hill, NC, United States of America. Electronic address: anna_waller@med.unc.edu.
Morris WeinbergerUniversity of North Carolina Gillings School of Global Public Health, Department of Health Policy and Management, Chapel Hill, NC, United States of America. Electronic address: mweinber@email.unc.edu.
Sally C StearnsUniversity of North Carolina Gillings School of Global Public Health, Department of Health Policy and Management, Chapel Hill, NC, United States of America. Electronic address: sally_stearns@unc.edu.

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
Emergency Department-Based Psychiatric Services for Children and Adolescents: An In-depth Investigation of Care in North CarolinaF30MH122154 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BRATHWAITE, DANIELLE MARIE · 2020 to 2023
$177k
NCATS NIH HHS UL1 TR002489NIMH NIH HHS F30 MH122154
6 · The paper itself

Abstract

objectivesEmergency department (ED) crowding has been shown to increase throughput measures of length of stay (LOS), wait time, and boarding time. Psychiatric utilization of the ED has increased, particularly among younger patients. This investigation quantifies the effect of ED demand on throughput times and discharge disposition for pediatric psychiatric patients in the ED.

methodsUsing electronic medical record data from 1,151,396 ED visits in eight North Carolina EDs from January 1, 2018, through December 31, 2020, we identified 14,092 pediatric psychiatric visits. Measures of ED daily demand rates included overall occupancy as well as daily proportion of non-psychiatric pediatric patients, adult psychiatric patients, and pediatric psychiatric patients. Controlling for patient-level factors such as age, sex, race, insurance, and triage acuity, we used linear regression to predict throughput times and logistic regression to predict disposition status. We estimated effects of ED demand by academic versus community hospital status due to ED and inpatient resource differences.

resultsMost ED demand measures had insignificant or only very small associations with throughput measures for pediatric psychiatric patients. Notable exceptions were that a one percentage point increase in the proportion of non-psychiatric pediatric ED visits increased boarding times at community sites by 1.06 hours (95% CI: 0.20-1.92), while a one percentage point increase in the proportion of pediatric psychiatric ED visits increased LOS by 3.64 hours (95% CI: 2.04-5.23) at the academic site. We found that ED demand had a minimal effect on disposition status, with small increases in demand rates favoring <1 percentage point increases in the likelihood of discharge. Instead, patient-level factors played a much stronger role in predicting discharge disposition.

conclusionsED demand has a meaningful effect on throughput times, but a minimal effect on disposition status. Further research is needed to validate these findings across other state and healthcare systems.

Indexed as

Emergency Service, HospitalInpatientsAdultChildHumansLength of StayNorth CarolinaRetrospective StudiesTime FactorsEmergency departmentEmergency psychiatryLength of stayMental healthThroughput time

Identifiers

PMID36565662
PMCPMC9869182

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.