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ED Adaptive Staffing Study

Feasibility and Evaluation of an Adaptive STaffing Model in a Community Emergency Department (FAST-ED)

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05937763
Acronym
FAST-ED
Enrollment
5917
Registered
2023-07-10
Start date
2023-10-02
Completion date
2024-09-30
Last updated
2024-03-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Emergency Medicine, Well-Being, Psychological

Brief summary

Emergency Departments (EDs) across Ontario are being inundated with unprecedented high patient volumes and a staffing shortage that directly impacts patient care and flow. An area of concern among EDs is the offload zone where patients are brought in by ambulance. EMS offload time is the time it takes paramedics to transfer a patient to the appropriate area within an emergency department and give hospital staff a summary of what concerns the patient is seeking care for. There are multiple factors that may delay this time, including limited staff in the offload area to complete the transfer process due to competing patient care responsibilities. The adaptive staffing model study will look to add a primary care paramedic (PCP) or a registered nurse (RN) in the offload zone during times of high ambulance volume (August to January) to help with patient care within the offload zone. This single-centered community hospital study will evaluate the benefits of having a PCP or RN, compared to the current model, on ambulance offload times, patient safety outcomes, patient treatment times, and staff well-being using three different models of staffing.

Interventions

OTHERStaffing model

Staffing the hospitals emergency department offload zone with a PCP or RN or current workflow.

Sponsors

Oak Valley Health
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Patients brought in by ambulance to hospitals emergency department offload area

Exclusion criteria

* Patients not arriving to the hospitals emergency department offload area

Design outcomes

Primary

MeasureTime frameDescription
Triage Time6 monthsThe aim of this objective is to compare time to triage and time to transfer of care for three models of staffing.
Return to Service6 monthsThe aim of this objective is to determine if an adaptive staffing model during peak volumes reduces ambulance offload times and return to service.

Secondary

MeasureTime frameDescription
Time to treatment6 months
Time to disposition6 months
Time to provider assessment6 months
Case costing6 months
Well-being Index (questionnaire)6 monthsExplore staff and paramedic well-being on intervention model
Number of incident reports6 monthsPatient safety events
Provider Feedback Survey6 monthsExplore provider perceptions (ED staff and paramedics) of each model with the aim of determining which model provides better patient care during peak volumes. Participants will self-report their perceived barriers, challenges and benefits of the staffing interventions.

Countries

Canada

Contacts

Primary ContactAndrew Arcand, MD
AArcand@oakvalleyhealth.ca905-472-7373
Backup ContactMichelle Dimas, MSc
mdimas@oakvalleyhealth.ca905-472-7373

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026