What factors predict ambulance pre-alerts to the emergency department? Analysis of routine data from 3 UK ambulance services

Abstract Objective Ambulance clinicians use pre-alert calls to advise emergency departments (EDs) of the arrival of patients requiring immediate review or intervention. Consistency of pre-alert practice is important in ensuring appropriate EDs response. We used routine data to describe pre-alert practice and explore factors affecting variation in practice.Methods We undertook an observational study using a linked dataset incorporating 12 months’ ambulance patient records, ambulance clinician data and emergency call data for three UK ambulance services. We used LASSO regression to identify candidate variables for multivariate logistic regression models to predict variation in pre-alert use, analysing clinician factors (role, experience, qualification, time of pre-alert during shift), patient factors (NEWS2 score, clinical working impression, age, sex) and hospital factors (receiving ED, ED handover delay status).Results From the dataset of 1,363,274 patients conveyed to ED, 142,795 (10.5%) were pre-alerted, of whom only a third were for conditions with clear pre-alert pathways (e.g. sepsis, STEMI, major trauma). Casemix (illness acuity score, clinical diagnostic impression) was the strongest predictor of pre-alert use but male patient gender, clinician role, receiving hospital, and hospital turnaround delay at receiving hospitals were also statistically significant predictors, after adjusting for casemix. There was no evidence of higher pre-alert rates in the final hour of shift.Conclusions Pre-alert decisions are determined by factors other than illness acuity and clinical diagnostic impression. Research is required to determine whether our findings are reproducible elsewhere and why non-clinical factors (e.g. patient gender) may influence pre-alert practice..

Medienart:	Preprint

Erscheinungsjahr:	2023
Erschienen:	2023

Enthalten in:	bioRxiv.org - (2023) vom: 12. Dez. Zur Gesamtaufnahme - year:2023

Sprache:	Englisch

Beteiligte Personen:

Sampson, Fiona [VerfasserIn] Pilbery, Richard [VerfasserIn] Herbert, Esther [VerfasserIn] Goodacre, Steve [VerfasserIn] Bell, Fiona [VerfasserIn] Spaight, Rob [VerfasserIn] Rosser, Andy [VerfasserIn] Webster, Peter [VerfasserIn] Millins, Mark [VerfasserIn] Pountney, Andy [VerfasserIn] Coster, Joanne [VerfasserIn] Long, Jaqui [VerfasserIn] O’Hara, Rachel [VerfasserIn] Foster, Alexis [VerfasserIn] Miles, Jamie [VerfasserIn] Turner, Janette [VerfasserIn] Boyd, Aimee [VerfasserIn]

Links:	Volltext [kostenfrei]

Themen:	570 Biology

doi:	10.1101/2023.12.07.23299650

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PPN (Katalog-ID):	XBI041801431