Evidence map›Paper›PMID 29625600›Full record

ArticleBMC pediatrics2018

Implementing paediatric early warning scores systems in the Netherlands: future implications.

J F de Groot, N Damen, E de Loos, L van de Steeg, L Koopmans, P Rosias, M Bruijn, J Goorhuis, C Wagner

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 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

9 authors at 6 institutions in 2 countries.

J F de GrootNIVEL Netherlands Institute for Health Services Research, Otterstraat 118-124, 3513 CR, Utrecht, the Netherlands. j.degroot@nivel.nl.
N DamenNIVEL Netherlands Institute for Health Services Research, Otterstraat 118-124, 3513 CR, Utrecht, the Netherlands.
E de LoosNetherlands Federation of University Medical Centres-Consortium Quality of Care, NIAZ & CBOimpact Dutch Institute for Healthcare Improvement, Utrecht, the Netherlands.
L van de SteegNIVEL Netherlands Institute for Health Services Research, Otterstraat 118-124, 3513 CR, Utrecht, the Netherlands.
L KoopmansNIVEL Netherlands Institute for Health Services Research, Otterstraat 118-124, 3513 CR, Utrecht, the Netherlands.
P RosiasZuyderland Medical Centre Sittard, Sittard, the Netherlands.
M BruijnNoord West Ziekenhuisgroep, Alkmaar, the Netherlands.
J GoorhuisMedisch Spectrum Twente, P.O Box 50 000, 7500 KA, Enschede, the Netherlands.
C WagnerNIVEL Netherlands Institute for Health Services Research, Otterstraat 118-124, 3513 CR, Utrecht, the Netherlands.
Netherlands Institute for Health Services Research · NLAmsterdam UMC Location VUmc · NLDutch Institute for Healthcare Improvement · NLMedisch Spectrum Twente · NLNorthwest Hospital · USZuyderland Medisch Centrum · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPaediatric Early Warning Scores (PEWS) are increasingly being used for early identification and management of clinical deterioration in paediatric patients. A PEWS system includes scores, cut-off points and appropriate early intervention. In 2011, The Dutch Ministry of Health advised hospitals to implement a PEWS system in order to improve patient safety in paediatric wards. The objective of this study was to examine the results of implementation of PEWS systems and to gain insight into the attitudes of professionals towards using a PEWS system in Dutch non-university hospitals.

methodsQuantitative data were gathered at start, midway and at the end of the implementation period through retrospective patient record review (n = 554). Semi-structured interviews with professionals (n = 8) were used to gain insight in the implementation process and experiences. The interviews were transcribed and analysed using an inductive approach.

resultsLooking at PEWS systems of the five participating hospitals, different parameters and policies were found. While all hospitals included heart rate and respiratory rate, other variables differed among hospitals. At baseline, none of the hospitals used a PEWS system. After 1 year, PEWS were recorded in 69.2% of the patient records and elevated PEWS resulted in appropriate action in 49.1%. Three themes emerged from the interviews: 1) while the importance of using a PEWS system was acknowledged, professionals voiced some doubts about the effectiveness and validity of their PEWS system 2) registering PEWS required little extra effort and was facilitated by PEWS being integrated into the electronic patient record 3) Without a national PEWS system or guidelines, hospitals found it difficult to identify a suitable PEWS system for their setting. Existing systems were not always considered applicable in a non-university setting.

conclusionsAfter 1 year, hospitals showed improvements in the use of their PEWS system, although some were decidedly more successful than others. Doubts among staff about validity, effectiveness and communication with other hospitals during transfer to higher level care hospital might hinder sustainable implementation. For these purposes the development of a national PEWS system is recommended, consisting of a "core set" of PEWS, cut-off points and associated early intervention.

Indexed as

Early DiagnosisEarly Medical InterventionAdultAttitude of Health PersonnelChild, PreschoolClinical ProtocolsFemaleHospitals, GeneralHospitals, TeachingHumansMaleMiddle AgedNetherlandsNursing Staff, HospitalPediatriciansRetrospective StudiesImplementationPaediatric early warning scorePEWSQuality improvement

Identifiers

PMID29625600
PMCPMC5889599
OpenAlexW2803046458

What OpenQuestion holds

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LicenceCC BY
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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.