Evidence map›Paper›PMID 21125216›Full record

ArticleIntensive care medicine2011

The relationship between workload and medical staffing levels in a paediatric cardiac intensive care unit.

Katherine L Brown, Christina Pagel, Alison Pienaar, Martin Utley

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Article in Intensive care medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
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

7 citing papers in PubMed, 25 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Katherine L BrownCardiac Unit, Great Ormond Street Hospital NHS Trust, London WC1N 3JH, UK. brownk@gosh.nhs.uk
Christina Pagel
Alison Pienaar
Martin Utley
Great Ormond Street Hospital · GBUCL Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the matching between workload in a paediatric cardiac intensive care unit (ICU) and the corresponding medical staffing levels over a 24-h period.

designA review of workload measured by: (a) admissions, (b) severity of illness in admissions using case-mix descriptors and mortality as a proxy, (c) cardiac arrests (CA) and (d) extracorporeal membrane oxygenation (ECMO) cannulations. An evaluation of matching between workload and medical staff schedules.

settingA tertiary paediatric cardiac ICU. PATIENTS: 2,799 admissions over a 49-month period.

resultsNew admissions peaked in the evening, and the ratio of doctors' hours to admissions was lowest between 1359 and 2000 h. Although only 515 (17.3%) cases were admitted between 2000 and 0759 h, these were more likely to be emergencies, to have higher Paediatric Index of Mortality 2 (PIM2) scores and to die (p < 0.001). There was an increased adjusted risk of death in admissions between 2000 and 0159 h (p = 0.021). There was no difference in the occurrence of either CA (p = 0.41) or ECMO (p = 0.95) between day and night. The ratio of doctors' hours to CAs and ECMOs was lowest from 2000 to 0800 h. The conventional medical staffing roster generated the greatest concentration of staff in the morning, reducing to the lowest level between 0200 and 0759 h.

conclusionsWorkload was most intense for the in-house team at night, in terms of sicker admissions, ECMOs and cardiac arrests. Conventional roster patterns may not offer ideal matching between staffing and workload. Data analysis of variable and urgent workload may be used to inform medical rosters.

Indexed as

Intensive Care Units, PediatricPersonnel Staffing and SchedulingWorkloadExtracorporeal Membrane OxygenationHumansOut-of-Hospital Cardiac ArrestPatient AdmissionRetrospective StudiesSeverity of Illness IndexUnited KingdomWorkforce

Identifiers

PMID21125216
OpenAlexW2004313751

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.