Evidence map›Paper›PMID 32760813›Full record

ArticleBMJ paediatrics open2020

Smartphone app for neonatal heart rate assessment: an observational study.

Susanna Myrnerts Höök, Nicolas J Pejovic, Francesco Cavallin, Clare Lubulwa, Josaphat Byamugisha, Jolly Nankunda, Thorkild Tylleskär, Tobias Alfven

Open access · diamondAbstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Observational
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

8 authors at 4 institutions in 4 countries.

Susanna Myrnerts HöökDepartment of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Bergen, Norway.ORCID 0000-0001-7560-4077
Nicolas J PejovicDepartment of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Bergen, Norway.
Francesco CavallinIndependent Statistician, Solagna, Italy.
Clare LubulwaMulago National Referral Hospital, Kampala, Uganda.
Josaphat ByamugishaMulago National Referral Hospital, Kampala, Uganda.
Jolly NankundaMulago National Referral Hospital, Kampala, Uganda.
Thorkild TylleskärDepartment of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Bergen, Norway.
Tobias AlfvenDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-2328-3512
Karolinska Institutet · SEMulago Hospital · UGIstituto Nazionale di Statistica · ITUniversity of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart rate (HR) assessment is crucial in neonatal resuscitation, but pulse oximetry (PO) and electrocardiography (ECG) are rarely accessible in low-resource to middle-resource settings. This study evaluated a free-of-charge smartphone application, NeoTap, which records HR with a screen-tapping method bypassing mental arithmetic calculations.

methodsThis observational study was carried out during three time periods between May 2015 and January 2019 in Uganda in three phases. In phase 1, a metronome rate (n=180) was recorded by low-end users (midwives) using NeoTap. In phase 2, HR (n=69) in breathing neonates was recorded by high-end users (paediatricians) using NeoTap versus PO. In phase 3, HR (n=235) in non-breathing neonates was recorded by low-end users using NeoTap versus ECG.

resultsIn high-end users the mean difference was 3 beats per minute (bpm) higher with NeoTap versus PO (95% agreement limits -14 to 19 bpm), with acquisition time of 5 seconds. In low-end users, the mean difference was 6 bpm lower with NeoTap versus metronome (95% agreement limits -26 to 14 bpm) and 3 bpm higher with NeoTap versus ECG in non-breathing neonates (95% agreement limits -48 to 53 bpm), with acquisition time of 2.7 seconds. The agreement between NeoTap and ECG was good in the HR categories of 60-99 bpm and ≥100 bpm; HR <60 bpm had few measurements (kappa index 0.71, 95% CI 0.63 to 0.79).

conclusionHR could be accurately and rapidly assessed using a smartphone application in breathing neonates in a low-resource setting. Clinical assessment by low-end users was less accurate with wider CI but still adds clinically important information in non-breathing neonates. The authors suggest low-end users may benefit from auscultation-focused training. More research is needed to evaluate its feasibility in clinical use.

Indexed as

circulatoryintensive caremonitoringneonatologyresuscitation

Identifiers

PMID32760813
PMCPMC7381998
OpenAlexW3044255302

What OpenQuestion holds

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Registered trials

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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.