Evidence map›Paper›PMID 38782488›Full record

ArticleBMJ open quality2024

Impact of geographical cohorting, multidisciplinary rounding and incremental case management support on hospital length of stay and readmission rates: a propensity weighted analysis.

Aubrey Jolly Graham, Alyssa Platt, Kristian Knutsen, Emily Fletcher, David Gallagher

Abstract read
In one paragraph

Article in BMJ open quality, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Aubrey Jolly GrahamHospital Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
Alyssa PlattBiostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA.
Kristian KnutsenPerformance Services, Duke University Health System, Durham, North Carolina, USA.
Emily FletcherHospital Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
David GallagherHospital Medicine, Duke University School of Medicine, Durham, North Carolina, USA david.gallagher@duke.edu.ORCID 0000-0002-9104-744X

Funding

Support for QA/QC for Prior Approval ProcessUL1TR002553 · NCATS · DUKE UNIVERSITY · PI LI, JENNIFER S, MCNAMARA, JAMES O. · 2018 to 2023
$58.5M
NCATS NIH HHS UL1 TR002553
6 · The paper itself

Abstract

Hospital length of stay (LOS) in the USA has been increasing since the start of the COVID-19 pandemic, with numerous negative outcomes, including decreased quality of care, worsened patient satisfaction and negative financial impacts on hospitals. While many proposed factors contributing to prolonged LOS are challenging to modify, poor coordination of care and communication among clinical teams can be improved.Geographical cohorting of provider teams, patients and other clinical staff is proposed as a solution to prolonged LOS and readmissions. However, many studies on geographical cohorting alone have shown no significant impact on LOS or readmissions. Other potential benefits of geographical cohorting include improved quality of care, learning experience, communication, teamwork and efficiency.This paper presents a retrospective study at Duke University Hospital (DUH) on the General Medicine service, deploying a bundled intervention of geographical cohorting of patients and their care teams, twice daily multidisciplinary rounds and incremental case management support. The quality improvement study found that patients in the intervention arm had 16%-17% shorter LOS than those in the control arms, and there was a reduction in 30-day hospital readmissions compared with the concurrent control arm. Moreover, there was some evidence of improved accuracy of estimated discharge dates in the intervention arm.Based on these findings, the health system at DUH recognised the value of geographical cohorting and implemented additional geographically based medicine units with multidisciplinary rounds. Future studies will confirm the sustained impact of these care transformations on hospital throughput and patient outcomes, aiming to reduce LOS and enhance the quality of care provided to patients.

Indexed as

Case ManagementCOVID-19Length of StayPatient ReadmissionAgedFemaleHumansMaleMiddle AgedNorth CarolinaPandemicsPatient Care TeamPropensity ScoreQuality ImprovementRetrospective StudiesSARS-CoV-2Efficiency, OrganizationalHealthcare quality improvementHospital medicineLength of Stay

Identifiers

PMID38782488
PMCPMC11116874

What OpenQuestion holds

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LicenceCC BY-NC
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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.