‘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


Noble, Adam ORCID: 0000-0002-8070-4352, Morris, Beth, Bonnett, Laura ORCID: 0000-0002-6981-9212, Reuber, Markus, Mason, Suzzane, Wright, Jasmine, Pilbery, Richard, Bell, Fiona, Shillito, Tom, Marson, Anthony et al (show 1 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 and Behavior, 151. 109611-.

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Abstract

<h4>Purpose</h4>Suspected seizures present challenges for ambulance services, with paramedics reporting uncertainty over whether or not to convey individuals to emergency departments. The Risk of ADverse Outcomes after a Suspected Seizure (RADOSS) project aims to address this by developing a risk assessment tool utilizing structured patient care record and dispatch data. It proposes a tool that would provide estimates of an individual's likelihood of death and/or recontact with emergency care within 3 days if conveyed compared to not conveyed, and the likelihood of an 'avoidable attendance' occurring if conveyed. Knowledge Exchange workshops engaged stakeholders to resolve key design uncertainties before model derivation.<h4>Method</h4>Six workshops involved 26 service users and their significant others (epilepsy or nonepileptic attack disorder), and 25 urgent and emergency care clinicians from different English ambulance regions. Utilizing Nominal Group Techniques, participants shared views of the proposed tool, benefits and concerns, suggested predictors, critiqued outcome measures, and expressed functionality preferences. Data were analysed using Hamilton's Rapid Analysis.<h4>Results</h4>Stakeholders supported tool development, proposing 10 structured variables for predictive testing. Emphasis was placed on the tool supporting, not dictating, care decisions. Participants highlighted some reasons why RADOSS might struggle to derive a predictive model based on structured data alone and suggested some non-structured variables for future testing. Feedback on prediction timeframes for service recontact was received, along with advice on amending the 'avoidable attendance' definition to prevent the tool's predictions being undermined by potential overuse of certain investigations in hospital.<h4>Conclusion</h4>Collaborative stakeholder engagement provided crucial insights that can guide RADOSS to develop a user-aligned, optimized tool.

Item Type: Article
Uncontrolled Keywords: Humans, Seizures, Risk Assessment, Ambulances, Emergency Service, Hospital, Emergency Medical Services
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Population Health
Depositing User: Symplectic Admin
Date Deposited: 09 Jan 2024 11:55
Last Modified: 16 Feb 2024 13:53
DOI: 10.1016/j.yebeh.2023.109611
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3177704
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