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...
Autores principales: | , , , , , , , , , , , |
---|---|
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 |