Carter, J. orcid.org/0000-0003-2550-6465, Anumba, D. orcid.org/0000-0003-2502-3033, Burden, C. et al. (20 more authors) (2026) Tommy’s clinical decision support tool: an intervention development and feasibility study to inform a future randomised controlled trial. Pilot and Feasibility Studies. ISSN: 2055-5784
Abstract
Background
The 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.
Methods
The 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.
Results
One 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.
Conclusions
Tommy’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 registration
this study was prospectively registered on ISRCTN:ID13498237, on 31/01/2022.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © The Author(s) 2026. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Clinical Decision Support Systems (CDSS); Decision support; Maternity care; Medical device; Pregnancy; Risk assessment |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Health Sciences School (Sheffield) |
| Date Deposited: | 11 Mar 2026 11:20 |
| Last Modified: | 11 Mar 2026 11:20 |
| Status: | Published online |
| Publisher: | Springer Science and Business Media LLC |
| Refereed: | Yes |
| Identification Number: | 10.1186/s40814-026-01788-9 |
| Related URLs: | |
| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:238901 |
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Licence: CC-BY 4.0


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