Items where authors include "Pilbery, R."

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Number of items: 14.

Article

Boyd, A., Sampson, F.C. orcid.org/0000-0003-2321-0302, Bell, F. et al. (5 more authors) (2024) How consistent are pre-alert guidelines? A review of UK ambulance service guidelines. British Paramedic Journal, 8 (4). pp. 30-37. ISSN 1478-4726

Noble, A.J., Morris, B., Bonnet, L.J. et al. (8 more authors) (2024) ‘Knowledge exchange’ workshops to optimise development of a risk prediction tool to assist conveyance decisions for suspected seizures – Part of the Risk of ADverse Outcomes after a Suspected Seizure (RADOSS) project. Epilepsy & Behavior, 151. 109611. ISSN 1525-5050

Pilbery, R. orcid.org/0000-0002-5797-9788, Smith, M., Green, J. et al. (2 more authors) (2023) Modelling NHS England 111 demand for primary care services: a discrete event simulation. BMJ Open, 13. e076203. ISSN 2044-6055

Hasan, M., Bath, P.A. orcid.org/0000-0002-6310-7396, Marincowitz, C. et al. (12 more authors) (2022) Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19 : development, application and comparison of machine learning and deep learning methods. Computers in Biology and Medicine, 151, Part A. 106024. ISSN 0010-4825

Noble, A.J., Mason, S.M., Bonnett, L.J. et al. (9 more authors) (2022) Supporting the ambulance service to safely convey fewer patients to hospital by developing a risk prediction tool: Risk of Adverse Outcomes after a Suspected Seizure (RADOSS)—protocol for the mixed-methods observational RADOSS project. BMJ Open, 12 (11). e069156. ISSN 2044-6055

Marincowitz, C. orcid.org/0000-0003-3043-7564, Stone, T., Hasan, M. et al. (12 more authors) (2022) Accuracy of emergency medical service telephone triage of need for an ambulance response in suspected COVID-19 : an observational cohort study. BMJ Open, 12 (5). e058628.

Marincowitz, C., Stone, T., Bath, P. orcid.org/0000-0002-6310-7396 et al. (12 more authors) (2022) Accuracy of telephone triage for predicting adverse outcomes in suspected COVID-19: an observational cohort study. BMJ Quality and Safety. ISSN 2044-5423

Marincowitz, C. orcid.org/0000-0003-3043-7564, Sutton, L., Stone, T. et al. (12 more authors) (2022) Prognostic accuracy of triage tools for adults with suspected COVID-19 in a prehospital setting : an observational cohort study. Emergency Medicine Journal, 39. pp. 317-324. ISSN 1472-0205

Marincowitz, C. orcid.org/0000-0003-3043-7564, Sutton, L. orcid.org/0000-0002-5043-2384, Stone, T. orcid.org/0000-0002-0167-3800 et al. (12 more authors) (2021) Prognostic accuracy of triage tools for adults with suspected COVID-19 in a pre-hospital setting : an observational cohort study. medRxiv. (Submitted)

Turner, J., Siriwardena, A.N., Coster, J. et al. (21 more authors) (2019) Developing new ways of measuring the quality and impact of ambulance service care: the PhOEBE mixed-methods research programme. Programme Grants for Applied Research, 7 (3). ISSN 2050-4322

Pilbery, R., Teare, M.D., Goodacre, S. et al. (1 more author) (2016) The Recognition of STEMI by Paramedics and the Effect of Computer inTerpretation (RESPECT): a randomised crossover feasibility study. Emergency Medicine Journal . ISSN 1472-0205

Pilbery, R., Teare, D., Goodacre, S. et al. (1 more author) (2015) The recognition of stemi by paramedics and the effect of computer interpretation (respect): a cluster-randomised crossover pilot study. Emergency Medicine Journal, 32 (5). 421. ISSN 1472-0205

Proceedings Paper

Sampson, F.C. orcid.org/0000-0003-2321-0302, Bell, F. orcid.org/0000-0003-4503-1903, Webster, P. et al. (13 more authors) (2022) PP26 Exploring the use of pre-hospital pre-alerts and their impact on patients, ambulance service and emergency department staff: protocol for a mixed methods study. In: Emergency Medicine Journal. 999 EMS Research Forum (999EMSRF2022), 14 Jun 2022, Sheffield, UK. BMJ Publishing Group , e5-e5.

Marincowitz, C., Stone, T., Bath, P. orcid.org/0000-0002-6310-7396 et al. (12 more authors) (2022) Accuracy of telephone triage for predicting adverse outcomes in suspected COVID-19 : an observational cohort study linking NHS 111 telephone triage, primary and secondary healthcare and mortality records. In: International Journal of Population Data Science. International Population Data Linkage Network Conference, 07-09 Sep 2022, Edinburgh, Scotland. Swansea University .

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