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Dataset Information

What factors predict ambulance prealerts to the emergency department? Retrospective observational study from three UK ambulance services.


ABSTRACT:

Objectives

Ambulance clinicians use prealert calls to advise emergency departments (ED) of the arrival of patients requiring immediate review or intervention. Consistency of prealert practice is important in ensuring appropriate ED response to prealert calls. We used routine data to describe prealert practice and explore factors affecting variation in practice.

Design and setting

We undertook a retrospective observational study in three UK ambulance services using a linked dataset incorporating 12 months' ambulance patient records, ambulance clinician data and emergency call data.

Outcome measures

We used least absolute shrinkage and selection operator regression to identify candidate variables for multivariate logistic regression models to predict variation in preale

SUBMITTER: Pilbery R 

PROVIDER: S-EPMC11891521 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature