Evidence map›Paper›PMID 35751050›Full record

ArticleBMC pediatrics2022

Health professionals' initial experiences and perceptions of the acceptability of a whole-hospital, pro-active electronic paediatric early warning system (the DETECT study): a qualitative interview study.

Bernie Carter, Holly Saron, Sarah Siner, Jennifer Preston, Matthew Peak, Fulya Mehta, Steven Lane, Caroline Lambert, Dawn Jones, Hannah Hughes and 6 more

Abstract read
In one paragraph

Article in BMC pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Bernie CarterEdge Hill University, Ormskirk, UK. bernie.carter@edgehill.ac.uk.
Holly SaronEdge Hill University, Ormskirk, UK.
Sarah SinerAlder Hey Children's NHS Foundation Trust, Liverpool, UK.
Jennifer PrestonUniversity of Liverpool, Liverpool, UK.
Matthew PeakAlder Hey Children's NHS Foundation Trust, Liverpool, UK.
Fulya MehtaAlder Hey Children's NHS Foundation Trust, Liverpool, UK.
Steven LaneUniversity of Liverpool, Liverpool, UK.
Caroline LambertAlder Hey Children's NHS Foundation Trust, Liverpool, UK.
Dawn JonesAlder Hey Children's NHS Foundation Trust, Liverpool, UK.
Hannah HughesAlder Hey Children's NHS Foundation Trust, Liverpool, UK.
Jane HarrisLiverpool John Moores University, Liverpool, UK.
Leah EvansAlder Hey Children's NHS Foundation Trust, Liverpool, UK.
Sarah DeeAlder Hey Children's NHS Foundation Trust, Liverpool, UK.
Chin-Kien Eyton-ChongAlder Hey Children's NHS Foundation Trust, Liverpool, UK.
Gerri SeftonAlder Hey Children's NHS Foundation Trust, Liverpool, UK.
Enitan D CarrolAlder Hey Children's NHS Foundation Trust, Liverpool, UK.

Funding

Department of Health
6 · The paper itself

Abstract

backgroundPaediatric early warning systems (PEWS) alert health professionals to signs of a child's deterioration with the intention of triggering an urgent review and escalating care. They can reduce unplanned critical care transfer, cardiac arrest, and death. Electronic systems may be superior to paper-based systems. The objective of the study was to critically explore the initial experiences and perceptions of health professionals about the acceptability of DETECT e-PEWS, and what factors influence its acceptability.

methodsA descriptive qualitative study (part of The DETECT study) was undertaken February 2020-2021. Single, semi-structured telephone interviews were used. The setting was a tertiary children's hospital, UK. The participants were health professionals working in study setting and using DETECT e-PEWS. Sampling was undertaken using a mix of convenience and snowballing techniques. Participants represented two user-groups: 'documenting vital signs' (D-VS) and 'responding to vital signs' (R-VS). Perceptions of clinical utility and acceptability of DETECT e-PEWS were derived from thematic analysis of transcripts.

resultsFourteen HPs (12 nurses, 2 doctors) participated; seven in D-VS and seven in the R-VS group. Three main themes were identified: complying with DETECT e-PEWS, circumventing DETECT e-PEWS, and disregarding DETECT e-PEWS. Overall clinical utility and acceptability were deemed good for HPs in the D-VS group but there was diversity in perception in the R-VS group (nurses found it more acceptable than doctors). Compliance was better in the D-VS group where use of DETECT e-PEWS was mandated and used more consistently. Some health professionals circumvented DETECT e-PEWS and fell back into old habits. Doctors (R-VS) did not consistently engage with DETECT e-PEWS, which reduced the acceptability of the system, even in those who thought the system brought benefits.

conclusionsSpeed and accuracy of real-time data, automation of triggering alerts and improved situational awareness were key factors that contributed to the acceptability of DETECT e-PEWS. Mandating use of both recording and responding aspects of DETECT e-PEWS is needed to ensure full implementation.

Indexed as

Critical CareVital SignsChildElectronicsHospitalsHumansQualitative ResearchAcceptabilityDeteriorationEscalation of careImplementationPaediatric early warning scorePEWSUtility

Identifiers

PMID35751050
PMCPMC9233392

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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.