Evidence map›Paper›PMID 31098055›Full record

ArticleFuture hospital journal2014

Medical handovers across shifts within a five-day-working model: results from an electronic handover system in an acute NHS trust.

Aklak Choudhury, Shreena Shah, Emmanuel Selvaraj, Richard A Haines, Pairaw Kader, Susan Thompson, Khansa Mazhar, Richard Reddiar, Sanjoy Saha, Robin Johns and 1 more

Abstract read
In one paragraph

Article in Future hospital journal, 2014. 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. 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

11 authors.

Aklak ChoudhuryQueen's Hospital, Romford.
Shreena ShahQueen's Hospital, Romford.
Emmanuel SelvarajOxford University Hospital NHS Trust.
Richard A HainesNorfolk and Norwich University Hospital NHS Foundation Trust.
Pairaw KaderColchester Hospital University NHS Foundation Trust.
Susan ThompsonElmhurst Practice, Redbridge Primary Care Trust.
Khansa MazharShawbirch Medical Centre, West Midlands Deanery.
Richard ReddiarKent Sussex and Surrey Deanery.
Sanjoy SahaBroomfield Hospital, Essex.
Robin JohnsQueens Hospital, Romford.
John AlcoladoBarking Havering and Redbridge University Hospital NHS Trust.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic handover tools have been advocated as a potential strategy to improve the quality of handover, especially during on-call periods at night and weekends. We aimed to quantify, categorise and explore the temporal relationship of handover tasks stored on an electronic handover system (eHandover) in an acute UK hospital trust in which the day-time primary team worked only weekdays, with only the day-time and night-time on-call teams being available at weekends. Second, we evaluated whether tasks that remained in the eHandover system throughout several shifts were likely to be completed. We defined the shift gap as the number of clinical shifts that passed between the creation of the handover task and its completion. 11,071 electronic handover parcels created on eHandover between March 2010 and January 2011 were analysed. More handovers were requested for completion on weekends (70 parcels a day) than on routine weekdays (22 parcels a day; p<0.001). The receiving teams reported that 89.4% (9,900) of the handover parcels were completed. Greater amounts of handover work was requested over weekends, when tasks were often transferred across many clinical shifts. Despite this, task-completion rates on eHandover remained consistently high. The use of a well-designed electronic handover system as part of a systematic intervention, in combination with organised verbal handover meetings, can help to reduce the risk of communication failure across shifts.

Indexed as

communicationhandoverimprovementqualityseven-day workingshift gap

Identifiers

PMID31098055
PMCPMC6438229

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.