Evidence map›Paper›PMID 41742257›Full record

ArticlePilot and feasibility studies2026

Tommy's Clinical Decision Support Tool: an intervention development and feasibility study to inform a future randomised controlled trial.

Jenny Carter, Dilly Anumba, Christy Burden, Siobhán Gillespie, Amy Howell, Andrew Judge, Erik Lenguerrand, Samantha Pérez Amack, Nicola Savory, Elaine Sheehan and 6 more

Abstract read
In one paragraph

Article in Pilot and feasibility studies, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Jenny CarterDepartment of Women and Children's Health, School of Life Course and Population Sciences, King's College London, 10th Floor, North Wing, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK. jenny.carter@kcl.ac.uk.ORCID http://orcid.org/0000-0003-2550-6465
Dilly AnumbaTommy's National Centre for Maternity Improvement, Royal College of Obstetricians and Gynaecologists/Royal College of Midwives, 10‑18 Union Street, London, SE1 1SZ, UK.
Christy BurdenTommy's National Centre for Maternity Improvement, Royal College of Obstetricians and Gynaecologists/Royal College of Midwives, 10‑18 Union Street, London, SE1 1SZ, UK.
Siobhán GillespieTommy's National Centre for Maternity Improvement, Royal College of Obstetricians and Gynaecologists/Royal College of Midwives, 10‑18 Union Street, London, SE1 1SZ, UK.
Amy HowellTommy's National Centre for Maternity Improvement, Royal College of Obstetricians and Gynaecologists/Royal College of Midwives, 10‑18 Union Street, London, SE1 1SZ, UK.
Andrew JudgeTommy's National Centre for Maternity Improvement, Royal College of Obstetricians and Gynaecologists/Royal College of Midwives, 10‑18 Union Street, London, SE1 1SZ, UK.
Erik LenguerrandTommy's National Centre for Maternity Improvement, Royal College of Obstetricians and Gynaecologists/Royal College of Midwives, 10‑18 Union Street, London, SE1 1SZ, UK.
Samantha Pérez AmackTommy's National Centre for Maternity Improvement, Royal College of Obstetricians and Gynaecologists/Royal College of Midwives, 10‑18 Union Street, London, SE1 1SZ, UK.
Nicola SavoryDepartment of Women and Children's Health, School of Life Course and Population Sciences, King's College London, 10th Floor, North Wing, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.
Elaine SheehanTommy's National Centre for Maternity Improvement, Royal College of Obstetricians and Gynaecologists/Royal College of Midwives, 10‑18 Union Street, London, SE1 1SZ, UK.
Basky ThilaganathanTommy's National Centre for Maternity Improvement, Royal College of Obstetricians and Gynaecologists/Royal College of Midwives, 10‑18 Union Street, London, SE1 1SZ, UK.
Maria VinerTommy's National Centre for Maternity Improvement, Royal College of Obstetricians and Gynaecologists/Royal College of Midwives, 10‑18 Union Street, London, SE1 1SZ, UK.
Hannah WilsonTommy's National Centre for Maternity Improvement, Royal College of Obstetricians and Gynaecologists/Royal College of Midwives, 10‑18 Union Street, London, SE1 1SZ, UK.
Cathy WinterTommy's National Centre for Maternity Improvement, Royal College of Obstetricians and Gynaecologists/Royal College of Midwives, 10‑18 Union Street, London, SE1 1SZ, UK.
Jane SandallDepartment of Women and Children's Health, School of Life Course and Population Sciences, King's College London, 10th Floor, North Wing, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.
Tommy’s National Centre for Maternity Improvement

Funding

Tommy's National Centre for Maternity Improvement
6 · The paper itself

Abstract

backgroundThe Tommy's Clinical Decision Support Tool is a web-based application that is used to assess risk of preterm birth and placental dysfunction. Utilising validated algorithms and rule engines, which are more accurate than current checklist methods, the Tool instantly recommends best evidenced-based care pathways. This personalisation of assessment and decision support could reduce preterm birth and stillbirth, whilst also addressing variation in care. This study aimed to develop the intervention and assess feasibility of implementation in four NHS maternity services to inform a planned cluster randomised controlled trial. We aimed to investigate barriers and facilitators to implementation; reach (whether particular groups are excluded and why), fidelity (degree to which the intervention is delivered as intended), and unintended consequences.

methodsThe NASSS framework (Non-adoption or Abandonment of technology by individuals and difficulties achieving Scale-up, Spread and Sustainability) informed analysis. We used online surveys, semi-structured interviews and focus groups to investigate maternity service user and healthcare professional (HCP) experience.

resultsOne thousand one hundred eighty-one maternity service users and 112 HCPs participated, completing 1260 online surveys, 8 focus groups and 29 semi-structured interviews (women: n = 24; HCPs: n = 23). Overall, the Tool appears acceptable and easy-to-use for both pregnant and HCP users, although the burden of introducing a novel intervention within an already overstretched service was identified as a potential barrier to successful implementation. Findings influenced developments of the device and implementation strategy ahead of the trial. Lessons learned highlighted the importance of: availability of the Tool to guide care for all, including pregnant users unable, or choosing not to engage with it; top-level and multidisciplinary buy-in; dedicated resources; preparation for transitional period; local champions across professions and settings; clarity in purpose, scope, potential benefits and evidence-base; mitigation of double data entry; IT infrastructure optimisation; flexibility in training and accessibility of implementation resources. Further refinements will include non-English translation of the pregnant user interface.

conclusionsTommy's Tool has the potential to make providing optimal maternity care easier for health professionals, which could reduce variation in care and ultimately improve outcomes. This study gave us the opportunity to evaluate implementation processes and identify potential barriers to successful implementation. By addressing these barriers, ahead of the trial, we have maximised the chance of the trial results being conclusive.

trial registrationthis study was prospectively registered on ISRCTN:ID13498237, on 31/01/2022.

Indexed as

Clinical Decision Support Systems (CDSS)Decision supportMaternity careMedical devicePregnancyRisk assessment

Identifiers

PMID41742257
PMCPMC13041263

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.