Evidence map›Paper›PMID 31248927›Full record

Observational studyBMJ open2019

Identifying diverse concepts of discharge failure patients at emergency department in the USA: a large-scale retrospective observational study.

Chet D Schrader, Richard D Robinson, Somer Blair, Sajid Shaikh, James P d'Etienne, Jessica J Kirby, Radhika Cheeti, Nestor R Zenarosa, Hao Wang

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Scoping Review of Emergency Department Discharge Risk Stratification.The western journal of emergency medicine · 2021
    Article
  5. 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

9 authors.

Chet D SchraderEmergency Medicine, JPS Health Network, Fort Worth, Texas, USA.
Richard D RobinsonEmergency Medicine, JPS Health Network, Fort Worth, Texas, USA.
Somer BlairOffice of Clinical Research, JPS Health Network, Fort Worth, Texas, USA.
Sajid ShaikhInformation Technology, JPS Health Network, Fort Worth, Texas, USA.
James P d'EtienneEmergency Medicine, JPS Health Network, Fort Worth, Texas, USA.
Jessica J KirbyEmergency Medicine, JPS Health Network, Fort Worth, Texas, USA.
Radhika CheetiInformation Technology, JPS Health Network, Fort Worth, Texas, USA.
Nestor R ZenarosaEmergency Medicine and Urgent Care, Integrative Emergency Service, JPS Health Network, Fort Worth, Texas, USA.
Hao WangEmergency Medicine, JPS Health Network, Fort Worth, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIdentifying patients who are at high risk for discharge failure allows for implementation of interventions to improve their care. However, discharge failure is currently defined in literature with great variability, making targeted interventions more difficult. We aim to derive a screening tool based on the existing diverse discharge failure models. DESIGN, SETTING AND

participantsThis is a single-centre retrospective cohort study in the USA. Data from all patients discharged from the emergency department were collected from 1 January 2015 through 31 December 2017 and followed up within 30 days.

methodsScoring systems were derived using modified Framingham methods. Sensitivity, specificity and area under the receiver operational characteristic (AUC) were calculated and compared using both the broad and restricted discharge failure models.

resultsA total of 227 627 patients were included. The

conclusionThe SHOUT scoring system was derived and used to screen and identify patients that would ultimately become discharge failures, especially when using broad definitions of discharge failure. The SHOUT tool was internally validated and can be used to identify patients across a wide spectrum of discharge failure definitions.

Indexed as

AftercareEmergency Service, HospitalFemaleHospitals, UrbanHumansLength of StayMalePatient DischargeRetrospective StudiesRisk FactorsTertiary Care CentersUnited Stateshealth policyquality in health carerisk management

Identifiers

PMID31248927
PMCPMC6597618

What OpenQuestion holds

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LicenceCC BY-NC
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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.