Evidence map›Paper›PMID 32420457›Full record

ArticleBMJ paediatrics open2020

Improving newborn heart rate assessment using a simple visual timer.

Caroline Henry, David E Morris, Sophie Coleman, Andrea Pereira, Christian Tamakloe, Peter Blanchfield, Don Sharkey

Abstract read
In one paragraph

Article in BMJ paediatrics open, 2020. 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. Review
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

7 authors.

Caroline HenryDivision of Child Health, Obstetrics and Gynaecology, University of Nottingham Faculty of Medicine and Health Sciences, Nottingham, UK.ORCID 0000-0003-1192-9985
David E MorrisFaculty of Engineering, University of Nottingham, Nottingham, UK.ORCID 0000-0001-9813-0767
Sophie ColemanDivision of Child Health, Obstetrics and Gynaecology, University of Nottingham Faculty of Medicine and Health Sciences, Nottingham, UK.
Andrea PereiraDivision of Child Health, Obstetrics and Gynaecology, University of Nottingham Faculty of Medicine and Health Sciences, Nottingham, UK.
Christian TamakloeSchool of Computer Science, University of Nottingham, Nottingham, UK.
Peter BlanchfieldI-Bit Software, Nottingham, UK.
Don SharkeyFaculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.ORCID 0000-0002-4989-8697

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNewborn resuscitation relies on accurate heart rate (HR) assessment, which, during auscultation, is prone to error. We investigated if a 6 s visual timer (VT) could improve HR assessment accuracy during newborn simulation.

designProspective observational study of newborn healthcare professionals.

settingThree-phase developmental approach: phase I: HR auscultation during newborn simulation using a standard clock timer (CT) or the VT; phase II: repeat phase I after using a bespoke training app (NeoRate); phase III: following the Newborn Life Support course, participants assessed random HRs using the CT or VT.

main outcome measuresHR accuracy (within ±10 beats/min, correct HR category, i.e. <60, 60-100 and >100 beats/min), assessment time and error-free rates were compared.

resultsOverall, 1974 HR assessments were performed with participants more accurate using the VT for ±10 beats/min (70% CT vs 86% VT, p<0.001) and correct HR category (78% CT vs 84% VT, p<0.01). The VT improved accuracy across all three phases. Additionally, following app training in phase II, the HR accuracy of both the CT and VT improved. The VT resulted in faster HR assessment times of 11 s (IQR 9-13) compared with the CT at 15 s (IQR 9-23, p<0.001). Error-free scenarios increased from 24% using the CT to 57% using the VT (p<0.001), with a shorter assessment time (CT 116 s (IQR 65-156) vs VT 53 s (IQR 50-64), p<0.001).

conclusionUsing a VT to assess simulated newborn HR combined with a training app significantly improves accuracy and reduces assessment time compared with standard methods. Evaluation in the clinical setting is required to determine potential benefits.

Indexed as

measurementneonatologyresuscitation

Identifiers

PMID32420457
PMCPMC7223635

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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.