Cargando…

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

INTRODUCTION: Ambulances services are asked to further reduce avoidable conveyances to emergency departments (EDs). Risk of Adverse Outcomes after a Suspected Seizure seeks to support this by: (1) clarifying the risks of conveyance and non-conveyance, and (2) developing a risk prediction tool for cl...

Descripción completa

Detalles Bibliográficos
Autores principales: Noble, Adam J, Mason, Suzanne M, Bonnett, Laura J, Reuber, Markus, Wright, Jasmine, Pilbery, Richard, Jacques, Richard M, Simpson, Rebecca M, Campbell, Richard, Fuller, Alison, Marson, Anthony Guy, Dickson, Jon Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668054/
https://www.ncbi.nlm.nih.gov/pubmed/36375988
http://dx.doi.org/10.1136/bmjopen-2022-069156
_version_ 1784831831068114944
author Noble, Adam J
Mason, Suzanne M
Bonnett, Laura J
Reuber, Markus
Wright, Jasmine
Pilbery, Richard
Jacques, Richard M
Simpson, Rebecca M
Campbell, Richard
Fuller, Alison
Marson, Anthony Guy
Dickson, Jon Mark
author_facet Noble, Adam J
Mason, Suzanne M
Bonnett, Laura J
Reuber, Markus
Wright, Jasmine
Pilbery, Richard
Jacques, Richard M
Simpson, Rebecca M
Campbell, Richard
Fuller, Alison
Marson, Anthony Guy
Dickson, Jon Mark
author_sort Noble, Adam J
collection PubMed
description INTRODUCTION: Ambulances services are asked to further reduce avoidable conveyances to emergency departments (EDs). Risk of Adverse Outcomes after a Suspected Seizure seeks to support this by: (1) clarifying the risks of conveyance and non-conveyance, and (2) developing a risk prediction tool for clinicians to use ‘on scene’ to estimate the benefits an individual would receive if conveyed to ED and risks if not. METHODS AND ANALYSIS: Mixed-methods, multi-work package (WP) project. For WP1 and WP2 we shall use an existing linked data set that tracks urgent and emergency care (UEC) use of persons served by one English regional ambulance service. Risk tools are specific to clinical scenarios. We shall use suspected seizures in adults as an exemplar. WP1: Form a cohort of patients cared for a seizure by the service during 2019/2020. It, and nested Knowledge Exchange workshops with clinicians and service users, will allow us to: determine the proportions following conveyance and non-conveyance that die and/or recontact UEC system within 3 (/30) days; quantify the proportion of conveyed incidents resulting in ‘avoidable ED attendances’ (AA); optimise risk tool development; and develop statistical models that, using information available ‘on scene’, predict the risk of death/recontact with the UEC system within 3 (/30) days and the likelihood of an attendance at ED resulting in an AA. WP2: Form a cohort of patients cared for a seizure during 2021/2022 to ‘temporally’ validate the WP1 predictive models. WP3: Complete the ‘next steps’ workshops with stakeholders. Using nominal group techniques, finalise plans to develop the risk tool for clinical use and its evaluation. ETHICS AND DISSEMINATION: WP1a and WP2 will be conducted under database ethical approval (IRAS 307353) and Confidentiality Advisory Group (22/CAG/0019) approval. WP1b and WP3 have approval from the University of Liverpool Central Research Ethics Committee (11450). We shall engage in proactive dissemination and knowledge mobilisation to share findings with stakeholders and maximise evidence usage.
format Online
Article
Text
id pubmed-9668054
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-96680542022-11-17 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 Noble, Adam J Mason, Suzanne M Bonnett, Laura J Reuber, Markus Wright, Jasmine Pilbery, Richard Jacques, Richard M Simpson, Rebecca M Campbell, Richard Fuller, Alison Marson, Anthony Guy Dickson, Jon Mark BMJ Open Emergency Medicine INTRODUCTION: Ambulances services are asked to further reduce avoidable conveyances to emergency departments (EDs). Risk of Adverse Outcomes after a Suspected Seizure seeks to support this by: (1) clarifying the risks of conveyance and non-conveyance, and (2) developing a risk prediction tool for clinicians to use ‘on scene’ to estimate the benefits an individual would receive if conveyed to ED and risks if not. METHODS AND ANALYSIS: Mixed-methods, multi-work package (WP) project. For WP1 and WP2 we shall use an existing linked data set that tracks urgent and emergency care (UEC) use of persons served by one English regional ambulance service. Risk tools are specific to clinical scenarios. We shall use suspected seizures in adults as an exemplar. WP1: Form a cohort of patients cared for a seizure by the service during 2019/2020. It, and nested Knowledge Exchange workshops with clinicians and service users, will allow us to: determine the proportions following conveyance and non-conveyance that die and/or recontact UEC system within 3 (/30) days; quantify the proportion of conveyed incidents resulting in ‘avoidable ED attendances’ (AA); optimise risk tool development; and develop statistical models that, using information available ‘on scene’, predict the risk of death/recontact with the UEC system within 3 (/30) days and the likelihood of an attendance at ED resulting in an AA. WP2: Form a cohort of patients cared for a seizure during 2021/2022 to ‘temporally’ validate the WP1 predictive models. WP3: Complete the ‘next steps’ workshops with stakeholders. Using nominal group techniques, finalise plans to develop the risk tool for clinical use and its evaluation. ETHICS AND DISSEMINATION: WP1a and WP2 will be conducted under database ethical approval (IRAS 307353) and Confidentiality Advisory Group (22/CAG/0019) approval. WP1b and WP3 have approval from the University of Liverpool Central Research Ethics Committee (11450). We shall engage in proactive dissemination and knowledge mobilisation to share findings with stakeholders and maximise evidence usage. BMJ Publishing Group 2022-11-14 /pmc/articles/PMC9668054/ /pubmed/36375988 http://dx.doi.org/10.1136/bmjopen-2022-069156 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Emergency Medicine
Noble, Adam J
Mason, Suzanne M
Bonnett, Laura J
Reuber, Markus
Wright, Jasmine
Pilbery, Richard
Jacques, Richard M
Simpson, Rebecca M
Campbell, Richard
Fuller, Alison
Marson, Anthony Guy
Dickson, Jon Mark
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Emergency Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668054/
https://www.ncbi.nlm.nih.gov/pubmed/36375988
http://dx.doi.org/10.1136/bmjopen-2022-069156
work_keys_str_mv AT nobleadamj supportingtheambulanceservicetosafelyconveyfewerpatientstohospitalbydevelopingariskpredictiontoolriskofadverseoutcomesafterasuspectedseizureradossprotocolforthemixedmethodsobservationalradossproject
AT masonsuzannem supportingtheambulanceservicetosafelyconveyfewerpatientstohospitalbydevelopingariskpredictiontoolriskofadverseoutcomesafterasuspectedseizureradossprotocolforthemixedmethodsobservationalradossproject
AT bonnettlauraj supportingtheambulanceservicetosafelyconveyfewerpatientstohospitalbydevelopingariskpredictiontoolriskofadverseoutcomesafterasuspectedseizureradossprotocolforthemixedmethodsobservationalradossproject
AT reubermarkus supportingtheambulanceservicetosafelyconveyfewerpatientstohospitalbydevelopingariskpredictiontoolriskofadverseoutcomesafterasuspectedseizureradossprotocolforthemixedmethodsobservationalradossproject
AT wrightjasmine supportingtheambulanceservicetosafelyconveyfewerpatientstohospitalbydevelopingariskpredictiontoolriskofadverseoutcomesafterasuspectedseizureradossprotocolforthemixedmethodsobservationalradossproject
AT pilberyrichard supportingtheambulanceservicetosafelyconveyfewerpatientstohospitalbydevelopingariskpredictiontoolriskofadverseoutcomesafterasuspectedseizureradossprotocolforthemixedmethodsobservationalradossproject
AT jacquesrichardm supportingtheambulanceservicetosafelyconveyfewerpatientstohospitalbydevelopingariskpredictiontoolriskofadverseoutcomesafterasuspectedseizureradossprotocolforthemixedmethodsobservationalradossproject
AT simpsonrebeccam supportingtheambulanceservicetosafelyconveyfewerpatientstohospitalbydevelopingariskpredictiontoolriskofadverseoutcomesafterasuspectedseizureradossprotocolforthemixedmethodsobservationalradossproject
AT campbellrichard supportingtheambulanceservicetosafelyconveyfewerpatientstohospitalbydevelopingariskpredictiontoolriskofadverseoutcomesafterasuspectedseizureradossprotocolforthemixedmethodsobservationalradossproject
AT fulleralison supportingtheambulanceservicetosafelyconveyfewerpatientstohospitalbydevelopingariskpredictiontoolriskofadverseoutcomesafterasuspectedseizureradossprotocolforthemixedmethodsobservationalradossproject
AT marsonanthonyguy supportingtheambulanceservicetosafelyconveyfewerpatientstohospitalbydevelopingariskpredictiontoolriskofadverseoutcomesafterasuspectedseizureradossprotocolforthemixedmethodsobservationalradossproject
AT dicksonjonmark supportingtheambulanceservicetosafelyconveyfewerpatientstohospitalbydevelopingariskpredictiontoolriskofadverseoutcomesafterasuspectedseizureradossprotocolforthemixedmethodsobservationalradossproject