Evidence map›Paper›PMID 30140581›Full record

ArticleNeurology. Clinical practice2018

Post-acute care discharge delays for neurology inpatients: Opportunity to improve patient flow.

Debra E Roberts, Robert G Holloway, Benjamin P George

Abstract read
In one paragraph

Article in Neurology. Clinical practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
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  5. Article
  6. "Waiting for placement?": Waiting for solutions.Neurology. Clinical practice · 2018
    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

3 authors.

Debra E RobertsDepartment of Neurology, University of Rochester Medical Center, NY.
Robert G HollowayDepartment of Neurology, University of Rochester Medical Center, NY.
Benjamin P GeorgeDepartment of Neurology, University of Rochester Medical Center, NY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital stays for patients discharged to post-acute care are longer and more costly than routine discharges. Issues disrupting patient flow from hospital to post-acute care facilities are an underrecognized strain on hospital resources. We sought to quantify the burden of medically unnecessary hospital days for inpatients with neurologic illness and planned discharge to post-acute care facilities.

methodsWe conducted a retrospective evaluation of hospital discharge delays for patients with neurologic disease and plans for discharge to post-acute care. We identified 100 sequential hospital admissions to an academic neurology inpatient service that were medically ready for discharge from December 4, 2017, to January 25, 2018. For each patient, we quantified the number of medically unnecessary hospital days, or all days in the hospital following the determination of medical discharge readiness.

resultsAmong 100 patients medically ready for discharge with plans for post-acute care disposition (47 female, mean age 72.5 years, mean length of stay 12.3 days), 50 patients were planned for discharge to skilled nursing, 37 to acute rehabilitation, 10 to hospice/palliative care, and 3 to other facilities. There was a total of 1,226 patient-days, and 480 patient-days (39%) occurred following medical readiness for discharge. Medically unnecessary days ranged from 0 to 80 days per patient (mean 4.8, median 2.5, interquartile range 1-5 days).

conclusionUnnecessary hospital days represent a large burden for patients with neurologic illness requiring post-acute care on discharge. These discharge delays present an opportunity to improve hospital-wide patient flow.

Identifiers

PMID30140581
PMCPMC6105065

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.