Evidence map›Paper›PMID 36228015›Full record

ArticlePloS one2022

Modelling the impacts of COVID-19 on nurse workload and quality of care using process simulation.

Sadeem Munawar Qureshi, Sue Bookey-Bassett, Nancy Purdy, Michael A Greig, Helen Kelly, W Patrick Neumann

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
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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

6 authors.

Sadeem Munawar QureshiHuman Factors Engineering Lab, Toronto Metropolitan University (Formerly, Ryerson University), Toronto, Canada.ORCID 0000-0003-4309-6674
Sue Bookey-BassettDaphne Cockwell School of Nursing, Toronto Metropolitan University (Formerly, Ryerson University), Toronto, Canada.
Nancy PurdyDaphne Cockwell School of Nursing, Toronto Metropolitan University (Formerly, Ryerson University), Toronto, Canada.ORCID 0000-0002-5294-0729
Michael A GreigHuman Factors Engineering Lab, Toronto Metropolitan University (Formerly, Ryerson University), Toronto, Canada.ORCID 0000-0001-6354-8581
Helen KellyUniversity Health Network, Toronto, Canada.
W Patrick NeumannHuman Factors Engineering Lab, Toronto Metropolitan University (Formerly, Ryerson University), Toronto, Canada.ORCID 0000-0002-1560-3870

Funding

CIHR
6 · The paper itself

Abstract

Higher acuity levels in COVID-19 patients and increased infection prevention and control routines have increased the work demands on nurses. To understand and quantify these changes, discrete event simulation (DES) was used to quantify the effects of varying the number of COVID-19 patient assignments on nurse workload and quality of care. Model testing was based on the usual nurse-patient ratio of 1:5 while varying the number of COVID-19 positive patients from 0 to 5. The model was validated by comparing outcomes to a step counter field study test with eight nurses. The DES model showed that nurse workload increased, and the quality of care deteriorated as nurses were assigned more COVID-19 positive patients. With five COVID-19 positive patients, the most demanding condition, the simulant-nurse donned and doffed personal protective equipment (PPE) 106 times a shift, totaling 6.1 hours. Direct care time was reduced to 3.4 hours (-64% change from baseline pre-pandemic case). In addition, nurses walked 10.5km (+46% increase from base pre-pandemic conditions) per shift while 75 care tasks (+242%), on average, were in the task queue. This contributed to 143 missed care tasks (+353% increase from base pre-pandemic conditions), equivalent to 9.6 hours (+311%) of missed care time and care task waiting time increased to 1.2 hours (+70%), in comparison to baseline (pre-pandemic) conditions. This process simulation approach may be used as potential decision support tools in the design and management of hospitals in-patient care settings, including pandemic planning scenarios.

Indexed as

COVID-19WorkloadHumansNurse-Patient RelationsQuality of Health Care

Identifiers

PMID36228015
PMCPMC9560613

What OpenQuestion holds

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LicenceCC BY
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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.