Evidence map›Paper›PMID 36793358›Full record

ArticleFrontiers in global women's health2022

Preventing stillbirth from obstructed labor: A sensorized, low-cost device to train in safer operative birth.

Shireen Jaufuraully, Carmen Salvadores Fernandez, Biswajoy Bagchi, Priya Gupta, Adrien Desjardins, Dimitrios Siassakos, Anna L David, Manish K Tiwari

Open access · goldAbstract read
In one paragraph

Article in Frontiers in global women's health, 2022. 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
0.9field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Internet of Things in Medical Education: A Systematic Mapping Review.Medical journal of the Islamic Republic of Iran · 2025
    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

8 authors at 2 institutions in 1 country.

Shireen JaufuraullyWellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom.
Carmen Salvadores FernandezWellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom.
Biswajoy BagchiWellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom.
Priya GuptaWellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom.
Adrien DesjardinsWellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom.
Dimitrios SiassakosWellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom.
Anna L DavidWellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom.
Manish K TiwariWellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom.
Wellcome / EPSRC Centre for Interventional and Surgical Sciences · GBNational Institute for Health Research · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 98% of stillbirths occur in low- and middle- income countries. Obstructed labor is a common cause for both neonatal and maternal mortality, with a lack of skilled birth attendants one of the main reasons for the reduction in operative vaginal birth, especially in low- and middle- income countries. We introduce a low cost, sensorized, wearable device for digital vaginal examination to facilitate accurate assessment of fetal position and force applied to the fetal head, to aid training in safe operative vaginal birth. Methods: The device consists of flexible pressure/force sensors mounted onto the fingertips of a surgical glove. Phantoms of the neonatal head were developed to replicate sutures. An Obstetrician tested the device on the phantoms by performing a mock vaginal examination at full dilatation. Data was recorded and signals interpreted. Software was developed so that the glove can be used with a simple smartphone app. A patient and public involvement panel was consulted on the glove design and functionality. Results: The sensors achieved a 20 Newton force range and a 0.1 Newton sensitivity, leading to 100% accuracy in detecting fetal sutures, including when different degrees of molding or caput were present. They also detected sutures and force applied with a second sterile surgical glove on top. The software developed allowed a force threshold to be set, alerting the clinician when excessive force is applied. Patient and public involvement panels welcomed the device with great enthusiasm. Feedback indicated that women would accept, and prefer, clinicians to use the device if it could improve safety and reduce the number of vaginal examinations required. Conclusion: Under phantom conditions to simulate the fetal head in labor, the novel sensorized glove can accurately determine fetal sutures and provide real-time force readings, to support safer clinical training and practice in operative birth. The glove is low cost (approximately 1 USD). Software is being developed so fetal position and force readings can be displayed on a mobile phone. Although substantial steps in clinical translation are required, the glove has the potential to support efforts to reduce the number of stillbirths and maternal deaths secondary to obstructed labor in low- and -middle income countries.

Indexed as

cesarean sectionobstructed laboroperative vaginal birthsensorized glovestillbirth

Identifiers

PMID36793358
PMCPMC9922699
OpenAlexW4318457296

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.