Evidence map›Paper›PMID 25680399›Full record

ArticleNeurocritical care2015

Unplanned Transfers from Hospital Wards to the Neurological Intensive Care Unit.

C A Gold, S A Mayer, L Lennihan, J Claassen, J Z Willey

Abstract read
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Article in Neurocritical care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

C A GoldDepartment of Neurology, Neurological Institute of New York, Columbia University Medical Center, New York-Presbyterian Hospital, 710 W. 168th Street, New York, NY, 10032, USA, cag2181@cumc.columbia.edu.
S A Mayer
L Lennihan
J Claassen
J Z Willey

Funding

Neuro-vascular Disease as a Cause of Impaired MobilityK23NS073104 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WILLEY, JOSHUA ZEBADIAH · 2011 to 2015
$940k
NINDS NIH HHS K23 NS073104
6 · The paper itself

Abstract

backgroundThe aim of this study is to evaluate the characteristics of unplanned transfers of adult patients from hospital wards to a neurological intensive care unit (NICU).

methodsWe retrospectively reviewed consecutive unplanned transfers from hospital wards to the NICU at our institution over a 3-year period. In-hospital mortality rates were compared between patients readmitted to the NICU ("bounce-back transfers") and patients admitted to hospital wards from sources other than the NICU who were then transferred to the NICU ("incident transfers"). We also measured clinical characteristics of transfers, including source of admission and indication for transfer.

resultsA total of 446 unplanned transfers from hospital wards to the NICU occurred, of which 39% were bounce-back transfers. The in-hospital mortality rate associated with all unplanned transfers to the NICU was 17% and did not differ significantly between bounce-back transfers and incident transfers. Transfers to the NICU within 24 h of admission to a floor service accounted for 32% of all transfers and were significantly more common for incident transfers than bounce-back transfers (39 vs. 21%, p = .0002). Of patients admitted via the emergency department who had subsequent incident transfers to the NICU, 50% were transferred within 24 h of admission.

conclusionsUnplanned transfers to an NICU were common and were associated with a high in-hospital mortality rate. Quality improvement projects should target the triage process and transitions of care to the hospital wards in order to decrease unplanned transfers of high-risk patients to the NICU.

Indexed as

Hospital MortalityAdultAgedAged, 80 and overFemaleHospital DepartmentsHumansIntensive Care UnitsMaleMiddle AgedOutcome Assessment, Health CarePatient Transfer

Identifiers

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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.