Evidence map›Paper›PMID 40846567›Full record

ArticleBMJ open quality2025

Enhancing patient flow through standardised discharge pathways for neurology and medicine services.

Colin M McCrimmon, Molly R Fensterwald, Linda K Czypinski, Marc R Nuwer, Sherrille E Abelon, Melissa Reider-Demer

Abstract read
In one paragraph

Article in BMJ open quality, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Colin M McCrimmonDepartment of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, California, USA.ORCID 0000-0003-1157-9858
Molly R FensterwaldDepartment of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, California, USA.
Linda K CzypinskiSection of Hospital Medicine, Division of General Internal Medicine and Health Services Research, Department of Medicine, University of California Los Angeles David Geffen School of Medicine, Los Angeles, California, USA.
Marc R NuwerDepartment of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, California, USA.
Sherrille E AbelonSection of Hospital Medicine, Division of General Medicine GONDA Observation Unit, Department of Medicine, University of California Los Angeles David Geffen School of Medicine, Los Angeles, California, USA.
Melissa Reider-DemerDepartment of Neurology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, California, USA mrdemer@mednet.ucla.edu.ORCID 0000-0001-9161-6932

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesPoor discharge planning impairs hospital throughput, adds to the financial strain on health systems and diminishes patient and provider satisfaction. We developed consensus-based discharge criteria coupled with a standardised discharge pathway for four presenting diagnoses and tracked their effect on discharge timing and length of stay (LOS).

methodsMedical readiness for discharge criteria for patients diagnosed with transient ischaemic attack, seizure, demyelinating disease or syncope were generated by expert consensus at our institution. A standardised discharge pathway was developed for eligible patients based on discussions with stakeholders and staff. Discharge timing and readmissions were tracked for 6 months pre-intervention and 12 months post-intervention (divided into 6 months of implementation and post-implementation periods). The primary outcome was a discharge time of ≤2 hours for 60% of patients during the implementation period. Secondary outcomes included reduced time to discharge (TTD) and LOS compared with the pre-intervention period.

results318 total patient visits were included across the baseline, implementation and post-implementation periods. Median TTD improved from 171 min at baseline to 88 and 92 min, respectively, during the implementation and post-implementation periods. Median LOS similarly decreased from 94 hours to 35 and 30 hours, respectively. All primary and secondary outcomes were achieved during the implementation period and sustained post-implementation. The rate of emergency department visits and hospital readmissions within 30 days remained low (~1.5%) post-intervention. Additionally, most providers reported that the intervention improved clinical workflow.

conclusionsThis standardised discharge framework improved discharge efficiency for patients with four common diagnoses during an 18-month quality improvement study. The framework and its implementation are highly scalable, and similar systems-level approaches should be considered by hospitals to improve throughput.

Indexed as

NeurologyPatient DischargeAdultAgedCritical PathwaysFemaleHumansLength of StayMaleMiddle AgedQuality ImprovementTime FactorsHospital medicineLength of StayPatient DischargePerformance measuresQuality improvement

Identifiers

PMID40846567
PMCPMC12374623

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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.