Evidence map›Paper›PMID 30478113›Full record

ArticleBMJ open2018

From embracing to managing risks.

Justin Keen, Emma Nicklin, Nyantara Wickramasekera, Andrew Long, Rebecca Randell, Claire Ginn, Elizabeth McGinnis, Sean Willis, Jackie Whittle

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 4 institutions in 1 country.

Justin KeenLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID 0000-0003-2753-8276
Emma NicklinUniversity of Leeds, Leeds, UK.
Nyantara WickramasekeraUniversity of Sheffield, Sheffield, UK.
Andrew LongUniversity of Leeds, Leeds, UK.
Rebecca RandellUniversity of Leeds, Leeds, UK.
Claire GinnNHS England, Leeds, UK.
Elizabeth McGinnisUniversity of Leeds, Leeds, UK.
Sean WillisLeeds Teaching Hospitals NHS Trust, Leeds, UK.
Jackie WhittleLeeds Teaching Hospitals NHS Trust, Leeds, UK.
University of Leeds · GBLeeds Teaching Hospitals NHS Trust · GBNHS Digital · GBUniversity of Sheffield · GB

Funding

Department of Health 13/07/68
6 · The paper itself

Abstract

objectiveTo assess developments over time in the capture, curation and use of quality and safety information in managing hospital services.

settingFour acute National Health Service hospitals in England.

participants111.5 hours of observation of hospital board and directorate meetings, and 72 hours of ward observations. 86 interviews with board level and middle managers and with ward managers and staff.

resultsThere were substantial improvements in the quantity and quality of data produced for boards and middle managers between 2013 and 2016, starting from a low base. All four hospitals deployed data warehouses, repositories where datasets from otherwise disparate departmental systems could be managed. Three of them deployed real-time ward management systems, which were used extensively by nurses and other staff.

conclusionsThe findings, particularly relating to the deployment of real-time ward management systems, are a corrective to the many negative accounts of information technology implementations. The hospital information infrastructures were elements in a wider move, away from a reliance on individual professionals exercising judgements and towards team-based and data-driven approaches to the active management of risks. They were not, though, using their fine-grained data to develop ultrasafe working practices.

Indexed as

Hospital AdministrationClinical GovernanceEnglandGoverning BoardHospital Information SystemsHumansRisk ManagementState Medicineclinical governanceinformation managementinformation technologyorganisation of health servicesrisk management

Identifiers

PMID30478113
PMCPMC6254406
OpenAlexW2903084525

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.