ArticleDigital health
Service user and staff acceptance of fetal ultrasound telemedicine.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Teleultrasound in obstetrics: A systematic review and meta-analysis.PLoS medicine · 2026Pooled it
- Pooled it
- Optimising digital clinical consultations in maternity care: a realist review and implementation principles.BMJ open · 2024Review
- Implementation of a fetal ultrasound telemedicine service: women's views and family costs.BMC pregnancy and childbirth · 2021Article
- Obstetric ultrasound: where are we and where are we going?Ultrasonography (Seoul, Korea) · 2021Article
- Covid-19 and the 'new normal': are remote video consultations here to stay?British medical bulletin · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe present qualitative findings from interviews with frontline clinicians and service users of a fetal telemedicine service.
methodsSemi-structured interviews with clinical stakeholders and service users were conducted, undertaken as part of a service evaluation. Data collection was undertaken by different teams, using interview schedules aligned to independent evaluation aims. Data were subjected to thematic analysis.
resultsSonographers reported four main challenges: delivering a shared consultation; the requirement to resist scanning intuitively; communications during the scan; and restricted room space. Notwithstanding, all clinicians reported that participating women were accepting of the technology. Service users reported few concerns. The main benefits of fetal telemedicine were identified as upskilled staff, increased access to specialist support and improved management of complex pregnancies. Convenience was identified as the main benefit by service users, including savings in time and money from not having to travel, take time off work, and arrange childcare.
conclusionsService users and clinical stakeholders were accepting of the service. Service users reported satisfaction with communications during the consultation and awareness that telemedicine had facilitated local access to clinical expertise. Whilst clinical stakeholders reported challenges, the iterative nature of the evaluation meant that concerns were discussed, responded to, and overcome as the pilot developed. Clinical stakeholders' perception of benefits for service users encouraged their acceptance. Moreover, the evaluation established that fetal ultrasound telemedicine is a viable method to access expertise safely and remotely. It provided demonstrable evidence of a potential solution to some of the healthcare challenges facing rural hospitals.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.