Evidence map›Paper›PMID 27096094›Full record

ArticleBMJ quality improvement reports2016

Improving Weekend Out Of hours Surgical Handover (WOOSH).

Melissa Boyer, Janine Tappenden, Mark Peter

Open access · hybridAbstract read
In one paragraph

Article in BMJ quality improvement reports, 2016. 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
2.2field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 9 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

3 authors at 1 institution in 1 country.

Melissa BoyerScarborough General Hospital, UK.
Janine TappendenScarborough General Hospital, UK.
Mark PeterScarborough General Hospital, UK.
Scarborough General Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An effective surgical handover is imperative to optimise patient care and safety, whilst ensuring progression of clinical management and the delivery of an efficient service. The introduction of full-shift working, as a response to progressive implementation of the European Working Time Directive (EWTD), has placed the spotlight on patient and doctor safety. Effective handover between shifts is vital to protect patient safety and assist doctors with clinical governance. The weekend is a critical point where the transfer of patient care to the ongoing weekend team is efficient, thorough and informative, as this is a point in the patient journey where the patient is the most vulnerable. The weekend team is often not responsible for the management of the patient throughout the week and poor or incomplete information can have disastrous consequences on patient safety. (1,2,3) There is a general consensus and anecdotal evidence that this process is variable, occasionally unsafe or of poor quality, and can be improved. (4,5,6,7,8,9,10,11) However, no standardised format is deemed optimal or available. The aim therefore, was to design and implement a weekend handover proforma, in order to deliver a more efficient and safer system for patient care over the weekend without increasing junior doctor workload. The Weekend Out Of Hours Surgical Handover (WOOSH) form was designed following consultation with medical, nursing and allied health professionals. All staff were instructed how to complete the form, with pre- and post-intervention questionnaires undertaken. The results of the study enforce and advocate the permanent practice of the WOOSH form with 93.33% endorsing the permanent introduction of the form and 100% finding the form useful.

Identifiers

PMID27096094
PMCPMC4822064
OpenAlexW2324577660

What OpenQuestion holds

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LicenceCC BY-NC
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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.