Evidence map›Paper›PMID 36329127›Full record

ArticleNPJ digital medicine2022

Accuracy, interpretability and usability study of a wireless self-guided fetal heartbeat monitor compared to cardiotocography.

Paul Porter, Huaqiong Zhou, Brooke Schneider, Jennifer Choveaux, Natasha Bear, Phillip Della, Kym Jones

Open access · goldAbstract read
In one paragraph

Article in NPJ digital medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 9 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

7 authors at 2 institutions in 1 country.

Paul PorterDepartment of Paediatrics, Joondalup Health Campus, Perth, WA, Australia. Paul.Porter@curtin.edu.au.ORCID http://orcid.org/0000-0001-9051-589X
Huaqiong ZhouCurtin University, Curtin School of Nursing, Perth, WA, Australia.
Brooke SchneiderJoondalup Health Campus, Partnerships for Health Innovation (PHI) Research Group, Perth, WA, Australia.ORCID http://orcid.org/0000-0001-9569-2940
Jennifer ChoveauxJoondalup Health Campus, Partnerships for Health Innovation (PHI) Research Group, Perth, WA, Australia.ORCID http://orcid.org/0000-0002-2434-089X
Natasha BearInstitute for Health Research, Notre Dame University, Fremantle, WA, Australia.
Phillip DellaJoondalup Health Campus, Partnerships for Health Innovation (PHI) Research Group, Perth, WA, Australia.
Kym JonesDepartment of Gynaecology and Obstetrics, Joondalup Health Campus, Perth, WA, Australia.
Curtin University · AUThe University of Notre Dame Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fetal Cardiography is usually performed using in-hospital Cardiotocographic (CTG) devices to assess fetal wellbeing. New technologies may permit home-based, self-administered examinations. We compared the accuracy, clinical interpretability, and user experience of a patient-administered, wireless, fetal heartbeat monitor (HBM) designed for home use, to CTG. Initially, participants had paired HBM and CTG examinations performed in the clinic. Women then used the HBM unsupervised and rated the experience. Sixty-three women had paired clinic-based HBM and CTG recordings, providing 6982 fetal heart rate measures for point-to-point comparison from 126 min of continuous recording. The accuracy of the HBM was excellent, with limits of agreement (95%) for mean fetal heart rate (FHR) between 0.72 and -1.78 beats per minute. The FHR was detected on all occasions and confirmed to be different from the maternal heart rate. Both methods were equally interpretable by Obstetricians, and had similar signal loss ratios. Thirty-four (100%) women successfully detected the FHR and obtained clinically useful cardiographic data using the device at home unsupervised. They achieved the required length of recording required for non-stress test analysis. The monitor ranked in the 96-100

Identifiers

PMID36329127
PMCPMC9630800
OpenAlexW4308188740

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.