Items where authors include "Pilbery, R."

Article

Pilbery, R. orcid.org/0000-0002-5797-9788, Sampson, F.C. orcid.org/0000-0003-2321-0302, Herbert, E. orcid.org/0000-0002-1224-5457 et al. (14 more authors) (2025) What factors predict ambulance prealerts to the emergency department? Retrospective observational study from three UK ambulance services. BMJ Open, 15 (3). e097122. ISSN 2044-6055

Goodacre, S. orcid.org/0000-0003-0803-8444, Sutton, L., Fuller, G. orcid.org/0000-0001-8532-3500 et al. (2 more authors) (2025) Accuracy of the National Early Warning Score version 2 (NEWS2) in predicting need for time-critical treatment: retrospective observational cohort study. Emergency Medicine Journal. ISSN 1472-0205

O'Hara, R. orcid.org/0000-0003-4074-6854, Sampson, F.C. orcid.org/0000-0003-2321-0302, Long, J. et al. (2 more authors) (2025) What influences ambulance clinician decisions to pre-alert emergency departments: a qualitative exploration of pre-alert practice in UK ambulance services and emergency departments. Emergency Medicine Journal, 42 (1). ISSN 1472-0205

Snooks, H. orcid.org/0000-0003-0173-8843, Benger, J. orcid.org/0000-0001-6131-0916, Bell, F. orcid.org/0000-0003-4503-1903 et al. (16 more authors) (2024) Take-home naloxone in multicentre emergency settings: the TIME feasibility cluster RCT. Health Technology Assessment, 28 (74). ISSN 1366-5278

Snooks, H.A., Jones, J.K., Bell, F.B. et al. (18 more authors) (2024) Take-home naloxone administered in emergency settings: feasibility of intervention implementation in a cluster randomized trial. BMC Emergency Medicine, 24. 155.

Pilbery, R. orcid.org/0000-0002-5797-9788, Smith, M., Green, J. orcid.org/0000-0001-5738-7515 et al. (2 more authors) (2024) An analysis of NHS 111 demand for primary care services: a retrospective cohort study. PLOS ONE, 19 (7). e0300193.

Marincowitz, C., Stone, T., Bath, P. orcid.org/0000-0002-6310-7396 et al. (12 more authors) (2024) Accuracy of telephone triage for predicting adverse outcomes in suspected COVID-19: an observational cohort study. BMJ Quality and Safety, 33 (6). ISSN 2044-5423

Fuller, G. orcid.org/0000-0001-8532-3500, Baird, J., Keating, S. et al. (28 more authors) (2024) The accuracy of prehospital triage decisions in English trauma networks – a case-cohort study. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 32. 47.

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. 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 .