Evidence map›Paper›PMID 31482604›Full record

ArticleJournal of nursing management2019

Impact of using data from electronic protocols in nursing performance management: A qualitative interview study.

Joanna Hope, Peter Griffiths, Paul E Schmidt, Alejandra Recio-Saucedo, Gary B Smith

Open access · hybridAbstract read
In one paragraph

Article in Journal of nursing management, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Motif discovery in hospital ward vital signs observation networks.Network modeling and analysis in health informatics and bioinformatics · 2024
    Article
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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

5 authors at 4 institutions in 1 country.

Joanna HopeSchool of Health Sciences, National Institute for Health Research (NIHR) Collaboration for Applied Health Research and Care (CLAHRC), University of Southampton, Wessex, Southampton, UK.ORCID https://orcid.org/0000-0002-8939-7045
Peter GriffithsSchool of Health Sciences, University of Southampton, Southampton, UK.
Paul E SchmidtPortsmouth Hospitals NHS Trust, Medical Assessment Unit, Queen Alexandra Hospital, Portsmouth, UK.
Alejandra Recio-SaucedoSchool of Health Sciences, University of Southampton, Southampton, UK.
Gary B SmithCentre of Postgraduate Medical Research & Education (CoPMRE), Faculty of Health and Social Sciences, Bournemouth University, Bournemouth, Dorset, UK.
University of Southampton · GBBournemouth University · GBNational Institute for Health Research · GBQueen Alexandra Hospital · GB

Funding

National Institute for Health Research NIHR CLAHRC Wessex
6 · The paper itself

Abstract

aimTo explore the impact of using electronic data in performance management to improve nursing compliance with a protocol.

backgroundElectronic data are increasingly used to monitor protocol compliance but little is known about the impact on nurses' practice in hospital wards.

methodSeventeen acute hospital nursing staff participated in semi-structured interviews about compliance with an early warning score (EWS) protocol delivered by a bedside electronic handheld device.

resultsBefore electronic EWS data was used to monitor compliance, staff combined protocol-led actions with clinical judgement. However, some observations were missed to reduce noise and disruption at night. After compliance monitoring was introduced, observations were sometimes covertly omitted using a loophole. Interviewees described a loss of autonomy but acknowledged the EWS system sometimes flagged unexpected patient deterioration.

conclusionsIntroducing automated electronic systems to support nursing tasks can decrease nursing burden but remove the ability to record legitimate reasons for missing observations. This can result in covert resistance that could reduce patient safety. IMPLICATIONS FOR NURSING MANAGEMENT: Providing the ability to log legitimate reasons for missing observations would allow nurses to balance professional judgement with the use of electronic data in performance management of protocol compliance.

Indexed as

Early Warning ScoreAdultAgedAttitude of Health PersonnelEquipment and SuppliesFemaleGuideline AdherenceHumansInterviews as TopicMaleMiddle AgedNursing StaffQualitative ResearchWork Performanceearly warning scoreinformation management and technologynursing qualitypatient safetyperformance management

Identifiers

PMID31482604
PMCPMC6919414
OpenAlexW2971490481

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.