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Emergency MedicineFAST-EDNCT05937763

ED Adaptive Staffing Study

An observational study of Emergency Medicine and Well-Being, Psychological, run by Oak Valley Health at 1 site in Canada.

Unknown status

Status not confirmed. The sponsor has not verified this record for over two years, so it may be out of date.

Official record
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Trial 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. Read more about this study

Who is it for?
Any age
Conditions the study is for
Emergency Medicine, Well-Being, Psychological
What is being tested?
Staffing model
How many people
5,917 participants
Where
1 siteCanada
Study dates
2 Oct 2023to Sep 2024
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages Any age
  • All sexes
  • No healthy volunteers
  • Child, Adult, Older adult

Study population: The study will use a convenience sampling method, given that patients brought in by ambulance are at random and non-predictive.

Who may be able to join

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

Who cannot join

  • Patients not arriving to the hospitals emergency department offload area

Trial locations and contacts

1 site in 1 country.

Canada1 site, 1 recruiting
  • Markham Stouffville Hospital

    Markham, Ontario, L3P 7P3

    Michelle Dimas, MSc, 9054727373 ext. 6253, mdimas@oakvalleyhealth.ca

    Andrew Arcand, MD

    Recruiting

Other trials in Canada

About this study

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

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.

Being tested
Staffing model
Medical subject headings
Psychological Well-Being

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • Staffing modelOther

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

Study groups in NCT05937763
Study groupRoleWhat they receive
Primary Care Paramedic (PCP) BlockA PCP will be staffed in the emergency department offload zone 3 days a week (Monday, Wednesday, and Friday) on a 10am - 10pm shift, in addition to the standard staffing model.
Receives: Other: Staffing model
Registered Nurse (RN) BlockAn experienced emergency department RN with triage training will be staffed in the emergency department offload zone 3 days a week (Monday, Wednesday, and Friday) in a 10am - 10pm shift, in addition to the standard staffing model
Receives: Other: Staffing model
Current Workflow BlockThe currently hospitals staffing models of the emergency department offload zone.

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Triage Time

    The aim of this objective is to compare time to triage and time to transfer of care for three models of staffing.

    Measured: 6 months

  2. Return to Service

    The aim of this objective is to determine if an adaptive staffing model during peak volumes reduces ambulance offload times and return to service.

    Measured: 6 months

Secondary outcomes (7)
  1. Time to provider assessment

    Measured: 6 months

  2. Provider Feedback Survey

    Explore 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.

    Measured: 6 months

  3. Time to treatment

    Measured: 6 months

  4. Time to disposition

    Measured: 6 months

  5. Number of incident reports

    Patient safety events

    Measured: 6 months

  6. Case costing

    Measured: 6 months

  7. Well-being Index (questionnaire)

    Explore staff and paramedic well-being on intervention model

    Measured: 6 months

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted10 Jul 2023
  2. Study start2 Oct 2023
  3. Primary completionMar 2024 (estimated)
  4. Study completionSep 2024 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Cross-sectional
Enrolment
5,917 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT05937763
Sponsor's protocol ID
148-2306
Acronym
FAST-ED
Status last verified
Mar 2024
First submitted
23 Jun 2023
Last updated
22 Mar 2024
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No: Aggregate data and study results will be shared via publication and conference presentations.

Questions about this trial

What is this clinical trial studying?

An observational study of Emergency Medicine and Well-Being, Psychological, run by Oak Valley Health at 1 site in Canada.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: status not confirmed, as of the sponsor's last update on 22 Mar 2024. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in Canada. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Results are not available in the source record.

How can a doctor refer a patient or contact the research team?

Contact Andrew Arcand, MD (905-472-7373, AArcand@oakvalleyhealth.ca), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Triage Time (time frame: 6 months). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 22 Mar 2024; AzTrials last refreshed its copy on 28 Oct 2026.

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