Evidence map›Paper›PMID 26734345›Full record

ArticleBMJ quality improvement reports2015

Dilemmas of a rota: Google's solution.

Jibran S Qureshi, Fatimah Javaid

Abstract read
In one paragraph

Article in BMJ quality improvement reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Emergency schedule management for COVID-19.British journal of anaesthesia · 2020
    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

2 authors.

Jibran S QureshiSt Heliers and Epsom Hospital NHS Trust, London, United Kingdom.
Fatimah JavaidSt Heliers and Epsom Hospital NHS Trust, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Doctors take many forms of leave to further career training. Many hospital rotas omit these and are not updated frequently to reflect swaps in on-call duties. As a result, confusion arises with reduced staffing levels leading to sub-optimal patient care. Using Google Sheets, rota's can be modified to be team specific, remotely accessed, and edited by any device with an internet connection and web browser. A qualitative pre and post-implementation questionnaire assessed the usefulness of the online rota. The rota was trialled on a surgical and medical team containing foundation year, core medical, core surgical, and registrar trainees. The respective surgical and medical rotas were copied, modified and pasted into a Google Sheet to contain only team specific information including all forms of leave. A link was emailed allowing teams to access and edit the rota. Post-implementation questionnaire 90% (n=10) stated they could access it remotely and 100% felt the new rota was very easy to use. Finally, 80% stated the Google Doc rota was a definite improvement on the old trust rota. The rota was then trialled on an ITU SHO rota (n=8). The results were reproducible with 88% feeling it addressed their requirements and stating it was an improvement on their old rota. As a result of the implementation appropriate staffing levels were maintained on the ward. The key advantages of the Google rota are that it included all forms of leave and helped ensure adequate staffing levels on the ward. The remote nature means easy access even if off-site and can be viewed easier on smart phones. The different privacy settings ensure security of document. The rota is updated in real-time giving an accurate representation of staffing levels - vital for service managers. The software is free to use, allowing it to work within current hospital IT framework.

Identifiers

PMID26734345
PMCPMC4645871

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.