King's College London

• Re.The web-based application "QUiPP v.2" for the prediction of preterm birth in symptomatic women is not yet ready for worldwide clinical use: ten reflections on development, validation and use."

  Carter, J., Carlisle, N., David, A., Sandall, J., Seed, P., Shennan, A., Tribe, R. & Watson, H., 8 Apr 2022, (E-pub ahead of print) In: Archives of Gynecology and Obstetrics.

  Research output: Contribution to journal › Letter › peer-review

• 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

  Carlisle, N., Watson, H., Carter, J., Kuhrt, K., Seed, P. T., Tribe, R., Sandall, J. & Shennan, A., 18 Nov 2021, In: BMC medical informatics and decision making. 21, 1, 320.

  Research output: Contribution to journal › Article › peer-review

• Ten women's decision-making experiences in threatened preterm labour: Qualitative findings from the EQUIPTT trial

  Carlisle, N., Watson, H. A., Kuhrt, K., Carter, J., Seed, P. T., Tribe, R. M., Sandall, J. & Shennan, A. H., Sep 2021, In: Sexual & reproductive healthcare : official journal of the Swedish Association of Midwives. 29, p. 100611 7 p., 100611.

  Research output: Contribution to journal › Article › peer-review

• Evaluating the use of the QUiPP app and its impact on the management of threatened preterm labour: A cluster randomised trial

  Watson, H. A., Carlisle, N., Seed, P. T., Carter, J., Kuhrt, K., Tribe, R. M. & Shennan, A. H., Jul 2021, In: PLoS Medicine. 18, 7, e1003689.

  Research output: Contribution to journal › Article › peer-review

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