ArticleBMC medical informatics and decision making2021
Clinicians' experiences of using and implementing a medical mobile phone app (QUiPP V2) designed to predict the risk of preterm birth and aid clinical decision making.
Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Experience of Health Care Professionals Using Digital Tools in the Hospital: Qualitative Systematic Review.JMIR human factors · 2023Pooled it
- Integrating Gait Analysis and AI Into Knee Osteoarthritis Care: Protocol for a 3-Phase Participatory Qualitative Study.JMIR research protocols · 2026Article
- Clinical decision support systems for maternity care: a systematic review and meta-analysis.EClinicalMedicine · 2024Article
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Authors and funding
8 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundAs the vast majority of women who present in threatened preterm labour (TPTL) will not deliver early, clinicians need to balance the risks of over-medicalising the majority of women, against the potential risk of preterm delivery for those discharged home. The QUiPP app is a free, validated app which can support clinical decision-making as it produces individualised risks of delivery within relevant timeframes. Recent evidence has highlighted that clinicians would welcome a decision-support tool that accurately predicts preterm birth.
methodsQualitative interviews were undertaken as part of the EQUIPTT study (The Evaluation of the QUiPP app for Triage and Transfer) (REC: 17/LO/1802) which aimed to evaluate the impact of the QUiPP app on management of TPTL. Individual semi-structured telephone interviews were used to explore clinicians' (obstetricians' and midwives') experiences of using the QUiPP app and how it was implemented at their hospital sites. Thematic analysis was chosen to explore the meaning of the data, through a framework approach.
resultsNineteen participants from 10 hospital sites in England took part. Data analysis revealed three overarching themes which were: 'experience of using the app', 'how QUiPP risk changes practice' and 'successfully adopting QUiPP: context is everything'. With these final themes we appeared to have achieved our aim of exploring the clinicians' experiences of using and implementing the QUiPP app.
conclusionThis study explored different clinician's experiences of implementing the app. The organizational and cultural context at different sites appeared to have a large impact on how well the QUiPP app was implemented. Future work needs to be undertaken to understand how best to embed the intervention within different settings. This will inform scale up of QUiPP app use across the UK and ensure that clinicians have access to this free, easy-to-use tool which can positively aid clinical decision making when caring for women in TPTL. CLINICAL TRIAL REGISTRY AND REGISTRATION NUMBER: ISRCTN 17846337, registered 08th January 2018, https://doi.org/10.1186/ISRCTN17846337 .
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