Tony Stone

All publications

Journal articles

• Jay MA, Lewis K, Shi D, Langella R, Stone T, Ní Chobhthaigh S, Zylbersztejn A, Blackburn R & Harron K (2025) Open science and phenotyping in UK administrative health, education and social care data: the ECHILD phenotype code list repository. International Journal of Population Data Science, 10(2), 2943.
• Patterson JM, Mayland CR, Bath P, Lawton M, Bryant V, Hamilton D, Hasan M, Stone T, Campbell R, Crum A & Sharp L (2025) A network approach to addressing the needs of patients with incurable head and neck cancer and their families. Health Technology Assessment. View this article in WRRO
• Jones MC, Stone T, Mason SM, Eames A & Franklin M (2023) Navigating data governance associated with real-world data for public benefit: an overview in the UK and future considerations. BMJ Open, 13(10). View this article in WRRO
• Lewis J, Weich S, O’Keeffe C, Stone T, Hulin J, Bell N, Doyle M, Lucock M & Mason S (2023) Use of urgent, emergency and acute care by mental health service users: a record-level cohort study. PLoS ONE, 18(2).
• Baxter S, Franklin M, Haywood A, Stone T, Jones M, Mason S & Sterniczuk K (2023) Sharing real-world data for public benefit: a qualitative exploration of stakeholder views and perceptions. BMC Public Health, 23(1).
• Maynou L, Street A, Burton C, Mason SM, Stone T, Martin G, van Oppen J & Conroy S (2023) Factors associated with longer wait times, admission and reattendances in older patients attending emergency departments: an analysis of linked healthcare data. Emergency Medicine Journal.
• Thornhill M, Crum A, Campbell R, Stone T, Lee E, Bradburn M, Fibisan V, Dayer M, Prendergast B, Lockhart P , Baddour L et al (2022) Temporal association between invasive procedures and infective endocarditis. Heart.
• Hasan M, Bath PA, Marincowitz C, Sutton L, Pilbery R, Hopfgartner F, Mazumdar S, Campbell R, Stone T, Thomas B , Bell F et al (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.
• Simpson RM, Jacques RM, Nicholl J, Stone T & Turner J (2022) Measuring the impact introducing NHS 111 online had on the NHS 111 telephone service and the wider NHS urgent care system : an observational study. BMJ Open, 12(7). View this article in WRRO
• Marincowitz C, Stone T, Hasan M, Campbell R, Bath PA, Turner J, Pilbery R, Thomas BD, Sutton L, Bell F , Biggs K et al (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). View this article in WRRO
• Mason S, Stone T, Jacques R, Lewis J, Simpson R, Kuczawski M & Franklin M (2022) Creating a real-world linked research platform for analyzing the urgent and emergency care system. Medical Decision Making.
• Thornhill M, Crum A, Rex S, Campbell R, Stone T, Bradburn M, Fibisan V, Dayer M, Prendergast B, Lockhart P , Baddour P et al (2022) Infective endocarditis following invasive dental procedures: IDEA case-crossover study. Health Technology Assessment, 26(28). View this article in WRRO
• Marincowitz C, Stone T, Bath P, Campbell R, Turner JK, Hasan M, Pilbery R, Thomas BD, Sutton L, Bell F , Biggs K et al (2022) Accuracy of telephone triage for predicting adverse outcomes in suspected COVID-19: an observational cohort study. BMJ Quality and Safety. View this article in WRRO
• Taylor P, Stone T, Simpson R, Kyeremateng S & Mason S (2022) Emergency department presentations in palliative care patients : a retrospective cohort study. BMJ Supportive & Palliative Care.
• Marincowitz C, Goodacre S, Stone T, Campbell R, Hasan M, Thomas B, Turner J, Pilberry R & Bell F (2022) 798 Accuracy of telephone triage for predicting adverse outcomes in suspected COVID-19: an observational cohort study. Emergency Medicine Journal, 39(3), 256-256. View this article in WRRO
• Marincowitz C, Bath P, Hasan M, Stone T, Campbell R, Pilberry R, Turner J, Thomas B & Goodacre S (2022) 965 Accuracy of emergency (999) telephone triage for predicting adverse outcomes in suspected COVID-19: an observational cohort study. Emergency Medicine Journal, 39(3), 250.1-250. View this article in WRRO
• Marincowitz C, Sutton L, Stone T, Pilbery R, Campbell R, Thomas B, Turner J, Bath PA, Bell F, Biggs K , Hasan M et al (2022) Prognostic accuracy of triage tools for adults with suspected COVID-19 in a prehospital setting : an observational cohort study. Emergency Medicine Journal. View this article in WRRO
• Thornhill M, Crum A, Rex S, Stone T, Campbell R, Bradburn M, Fibisan V, Lockhart P, Springer B, Baddour L & Nicholl J (2022) Analysis of prosthetic joint infections following invasive dental procedures in England. JAMA Network Open, 5(1). View this article in WRRO
• Turner J, Knowles E, Simpson R, Sampson F, Dixon S, Long J, Bell-Gorrod H, Jacques R, Coster J, Yang H , Nicholl J et al (2021) Impact of NHS 111 online on the NHS 111 telephone service and urgent care system: a mixed-methods study. Health Services and Delivery Research, 9(21). View this article in WRRO
• Simpson RM, O'Keeffe C, Jacques RM, Stone T, Hassan A & Mason SM (2021) Non-urgent emergency department attendances in children : a retrospective observational analysis. Emergency Medicine Journal. View this article in WRRO
• Magallanes J, Stone T, Paul D M, Suzanne M, Wood S & Villa-Uriol M-C (2021) Sequen-C: A multilevel overview of temporal event sequences. IEEE Transactions on Visualization and Computer Graphics. View this article in WRRO
• Lewis J, Stone T, Simpson R, Jacques R, O’Keeffe C, Croft S & Mason S (2021) Patient compliance with NHS 111 advice: Analysis of adult call and ED attendance data 2013–2017. PLoS ONE, 16(5). View this article in WRRO
• Street A, Maynou L, Gilbert T, Stone T, Mason S & Conroy S (2021) The use of linked routine data to optimise calculation of the Hospital Frailty Risk Score on the basis of previous hospital admissions: a retrospective observational cohort study. The Lancet Healthy Longevity, 2(3), e154-e162.
• Knowles E, Shephard N, Stone T, Mason SM & Nicholl J (2019) The impact of closing emergency departments on mortality in emergencies : an observational study. Emergency Medicine Journal, 36, 645-651. View this article in WRRO
• Simpson R, Croft S, O’Keeffe C, Jacques R, Stone T, Ahmed N & Mason SM (2019) Exploring the characteristics, acuity and management of adult ED patients at night-time. Emergency Medicine Journal, 36(9), 554-557. View this article in WRRO
• Brennan A, Hill-McManus D, Stone T, Buykx P, Ally A, Pryce RE, Alston R, Jones A, Cairns D, Millar T , Donmall M et al (2019) Modeling the Potential Impact of Changing Access Rates to Specialist Treatment for Alcohol Dependence for Local Authorities in England: The Specialist Treatment for Alcohol Model (STreAM).. Journal of Studies on Alcohol and Drugs Supplement(Sup 18), 96-109. View this article in WRRO
• O'Cathain A, Jacques R, Stone T & Turner J (2018) Why do ambulance services have different non-transport rates? A national cross sectional study.. PLoS ONE, 13(9). View this article in WRRO
• Bunn JG, Croft S, O'Keeffe C, Jacques R, Simpson RM, Stone T, Conroy SP & Mason S (2018) Urgent care axis for the older adult: where is best to target interventions?. Emergency medicine journal. View this article in WRRO
• Knowles EL, Shephard N, Stone T, Bishop-Edwards L, Hirst E, Abouzeid L, Mason S & Nicholl J (2018) Closing five Emergency Departments in England between 2009 and 2011: the closED controlled interrupted time-series analysis. Health Services and Delivery Research, 6(27). View this article in WRRO
• Lewis J, Stone T, Simpson R, Jacques R, O’Keeffe C, Croft S & Mason S () Correction: Patient compliance with NHS 111 advice: Analysis of adult call and ED attendance data 2013–2017. PLOS ONE, 19(7), e0307203-e0307203.
• Stone T & Harron K () Which people are most affected by changes to data linkage methodology? An exploration of patient, organisational and spatiotemporal characteristics in administrative hospital data in England. International Journal of Population Data Science, 8(2).
• Turner J, Knowles E, Simpson R, Sampson F, Dixon S, Long J, Bell-Gorrod H, Jacques R, Coster J, Yang H , Nicholl J et al () Corrigendum: Impact of NHS 111 Online on the NHS 111 telephone service and urgent care system: a mixed-methods study. Health Services and Delivery Research, 9(21), 148-149.
• Marincowitz C, Sutton L, Stone T, Pilbery R, Campbell R, Thomas B, Turner J, Bath PA, Bell F, Biggs K , Hasan M et al () Prognostic accuracy of triage tools for adults with suspected COVID-19 in a pre-hospital setting: an observational cohort study. View this article in WRRO
• O’Cathain A, Knowles E, Bishop-Edwards L, Coster J, Crum A, Jacques R, James C, Lawson R, Marsh M, O’Hara R , Siriwardena AN et al () Understanding variation in ambulance service non-conveyance rates: a mixed methods study. Health Services and Delivery Research, 6(19), 1-192. View this article in WRRO
• Burton C, Stone T, Oliver P, Dickson JM, Lewis J & Mason SM () Frequent attendance at the emergency department shows typical features of complex systems: analysis of multicentre linked data. Emergency Medicine Journal.
• Hotham R, O'Keeffe C, Stone T, Mason SM & Burton C () Heterogeneity of reasons for attendance in frequent attenders of emergency departments and its relationship to future attendance. Emergency Medicine Journal.

Conference proceedings papers

• Knowles E, Shephard N, Stone T, Bishop-Edwards L, Hirst E, Abouzeid L, Mason S & Nicholl J (2019) OP5 Closing emergency departments in england (CLOSED): the impact on ambulance services. Emergency Medicine Journal, Vol. 36(10) (pp e4.1-e4)
• Miles J, O’Keeffe C, Jacques R, Stone T & Mason S (2018) 59 Ambulance over-conveyance to the emergency department: a large data analysis of ambulance journeys. BMJ Open, Vol. 8(Suppl 1) (pp a22-a23), 16 April 2018 - 18 April 2018. View this article in WRRO
• O’Cathain A, Jacques R, Stone T, Knowles EL & Bishop-Edwards L (2018) 12 Explaining variation in rates of non-transport between emergency ambulance services. BMJ Open, Vol. 8(Suppl 1) (pp A5-A5), 16 April 2018 - 18 April 2018. View this article in WRRO
• Miles J, O’Keeffe C, Jacques R, Stone T & Mason S (2017) 17 Exploring ambulance conveyances to the emergency department: a descriptive analysis of non-urgent transports. Emergency Medicine Journal, Vol. 34(12) (pp A872-A873)

Posters

• Stone T, O'Cathain A & Knowles E (2016) VARIATION IN INTERPRETATION OF GUIDANCE AS AN EXPLANATION OF BETWEEN-SERVICE VARIATION IN AMBULANCE QUALITY INDICATORS ON NON-CONVEYANCE.

Other

• Marincowitz C, Gravesteijn B, Sheldon T, Steyerberg E & Lecky F () Response to performance of the Hull Salford Cambridge Decision Rule: the start of the traumatic brain injury (TBI) assessment and recovery journey. Emergency Medicine Journal.

Preprints

• Magallanes J, Stone T, Morris PD, Mason S, Wood S & Villa-Uriol M-C (2021) Sequen-C: A Multilevel Overview of Temporal Event Sequences, arXiv.
• Hasan M, Bath P, Marincowitz C, Sutton L, Pilbery R, Hopfgartner F, Mazumdar S, Campbell R, Stone T, Benjamin T , Bell F et al () Pre-Hospital Prediction of Adverse Outcomes in Patients with Suspected COVID-19: Development, Application and Comparison of Machine Learning and Deep Learning Methods.
• Marincowitz C, Stone T, Hasan M, Campbell R, Bath PA, Turner J, Pilbery R, Thomas B, Sutton L, Bell F , Biggs K et al () Accuracy of emergency medical service telephone triage of need for an ambulance response in suspected COVID-19: An observational cohort study, Cold Spring Harbor Laboratory.
• Marincowitz C, Stone T, Bath P, Campbell R, Turner J, Hussein M, Pilbery R, Thomas B, Sutton L, Bell F , Biggs K et al () Accuracy of telephone triage for predicting adverse outcome in suspected COVID-19: An observational cohort study, Cold Spring Harbor Laboratory.
• Burton C, Stone T, Oliver P, Dickson JM, Lewis J & Mason S () High use of the emergency department shows typical features of complex systems: analysis of multicentre linked data, Cold Spring Harbor Laboratory.