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Prioritizing novel and existing ambulance performance measures through expert and lay consensus: A three-stage
Joanne E Coster1, Andy D Irving1, Janette K Turner1
1University of Sheffield, Sheffield, UK.
New ambulance performance measures were developed using consensus, reflecting patient and provider priorities beyond just response times. These new metrics offer a broader view of pre-hospital care quality.
Area of Science:
- Pre-hospital care research
- Healthcare quality improvement
- Ambulance service metrics
Background:
- Current ambulance quality and performance measures, like response times, are insufficient for the evolving scope of pre-hospital care.
- There is a need for updated measures that incorporate both service provider and public perspectives on ambulance service quality.
Purpose of the Study:
- To identify and prioritize new measures for assessing ambulance service quality and performance.
- To ensure these measures reflect the perspectives of various stakeholders, including patients, the public, and healthcare professionals.
Main Methods:
- A three-stage consensus process was employed, including a multistakeholder consensus event, a modified Delphi study, and a patient and public consensus workshop.
- Participants included representatives from ambulance services, patient and public involvement groups, emergency care academics, commissioners, and policymakers.
Main Results:
- Nine key measures/principles were prioritized, focusing on aspects like pain management, patient experience, dispatch accuracy, and patient safety.
- A Delphi study refined measures, with 20 achieving high consensus across three domains, including call prioritization and time to definitive care.
- Patient and public representatives identified six important measures, such as pain reduction and survival rates for treatable conditions.
Conclusions:
- Consensus methods successfully identified a shortlist of ambulance outcome and performance measures valued by clinicians, providers, users, and academics.
- These measures reflect current pre-hospital care and can be used to evaluate pre-hospital quality and performance over time.
- Most identified measures can be calculated using routinely available data, facilitating practical implementation.
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