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- Klinische proef NCT07592598
Simulation-Based Cardiac Point-of-Care Ultrasound Program to Improve Clinical Outcomes in Acute Heart Failure Patients
Co-design and Implementation of a Simulation-Based Cardiac Point-of-Care Ultrasound Program to Improve Clinical Outcomes in Acute Heart Failure Patients
Studie Overzicht
Toestand
Interventie / Behandeling
Gedetailleerde beschrijving
Studietype
Inschrijving (Geschat)
Fase
- Niet toepasbaar
Contacten en locaties
Studiecontact
- Naam: Rebecca Theophanous, MD, MHSc
- Telefoonnummer: 9196848111
- E-mail: rebecca.theophanous@duke.edu
Studie Contact Back-up
- Naam: Maria Manson
- Telefoonnummer: 9196848111
- E-mail: maria.manson@duke.edu
Deelname Criteria
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
- Volwassen
- Oudere volwassene
Accepteert gezonde vrijwilligers
Beschrijving
Inclusion Criteria:
- Emergency medicine provider practicing at the study site, including physician assistants and nurse practitioners
Exclusion Criteria:
- ED nurses and technicians are excluded due to differing ultrasound training needs
Studie plan
Hoe is de studie opgezet?
Ontwerpdetails
- Primair doel: Diagnostisch
- Toewijzing: NVT
- Interventioneel model: Sequentiële toewijzing
- Masker: Geen (open label)
Wapens en interventies
Deelnemersgroep / Arm |
Interventie / Behandeling |
|---|---|
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Experimenteel: Duke University Hospital emergency medicine physicians and Advanced Practice Providers (APPs)
Co-designed simulation training intervention and clinical practice guidelines implemenation
|
Uses adaptive Experience-Based Co-design (EBCD) to co-design a cardiac POCUS simulation training intervention and implementation strategy for EM clinicians.
The cardiac POCUS training workshop and reinforcement sessions will be co-designed with ED leadership, ultrasound faculty, and key stakeholders.
Participants will then perform cardiac and lung POCUS using standardized clinical practice guidelines (CPG) in AHF patients as part of clinical care.
Clinical practice guidelines will instruct clinicians on how to perform POCUS, save the images, complete worksheets on the archiving platform, and signed so that images are saved to the patient's chart and billed.
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Wat meet het onderzoek?
Primaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
|
Effectiveness of the simulation-based cardiac POCUS (Point-of-Care Ultrasound) training implementation as measured by time-to-diuretic dose in ED (Emergency Department) heart failure patients
Tijdsspanne: 12 months pre and 12 months post-intervention
|
Time-to-diuretics (units in minutes) in patients with a clinical diagnosis of acute heart failure with reduced or preserved ejection fraction.
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12 months pre and 12 months post-intervention
|
Secundaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
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Acceptability of the Intervention as measured by the Acceptability of Intervention Measure (AIM)
Tijdsspanne: up to 6 months post-workshop
|
The AIM is scored on a Likert scale from 1 to 5, where a higher score indicates greater acceptability.
|
up to 6 months post-workshop
|
|
Appropriateness of the Intervention as measured by the Intervention Appropriateness Measure (IAM)
Tijdsspanne: up to 6 months post-workshop
|
The IAM is scored on a Likert scale from 1 to 5, where a higher score indicates greater appropriateness.
|
up to 6 months post-workshop
|
|
Feasibility of the Intervention as measured by the Feasibility of Intervention Measure (FIM) survey tool
Tijdsspanne: up to 6 months post-workshop
|
The FIM is scored on a Likert scale from 1 to 5, where a higher score indicates greater appropriateness.
|
up to 6 months post-workshop
|
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Feasibility of implementing a cardiac point-of-care ultrasound (POCUS) simulation training and clinical practice guidelines for physicians and advanced practice providers (APPs)
Tijdsspanne: 12 months pre and 12 months post-intervention
|
Using a modified framework analysis approach, a team of 3-4 trained research assistants and ultrasound faculty led by an implementation science expert will deductively analyze semi-structured interview content based on IRLM constructs and PROCTOR outcomes, with open inductive coding for data that does not fit into the framework.
A preliminary rapid qualitative deductive analysis will be performed based on audio recordings and meeting notes applied to the PROCTOR dimensions, to determine scope and saturation.
Coding and categorization will be conducted with PROCTOR-templated coding sheets and transferred to NVivo.
|
12 months pre and 12 months post-intervention
|
|
Effectiveness of the simulation-based cardiac POCUS training implementation as measured by the number of clinical POCUS performed in the ED
Tijdsspanne: 12 months pre and 12 months post-intervention
|
To assess the cardiac POCUS simulation training program effectiveness, the investigators will collect pre/post-health record data on the number of clinical POCUS performed in the emergency department pre/post-intervention (from the Butterfly ultrasound archiving system, units in counts/percentages).
|
12 months pre and 12 months post-intervention
|
|
Effectiveness of the simulation-based cardiac POCUS training implementation as measured by image quality review scores
Tijdsspanne: 12 months pre and 12 months post-intervention
|
To assess cardiac POCUS simulation training program effectiveness, the investigators will collect pre/post-health record data on image quality review scores (determine by two ultrasound experts, Likert scale 1-5, where a higher score indicates greater quality).
|
12 months pre and 12 months post-intervention
|
|
Clinical impact of the training model on point-of-care ultrasound (POCUS) use and diagnostic performance as measured by the time to initial cardiology consult
Tijdsspanne: 12 months pre and 12 months post-intervention
|
The investigators will collect electronic health record data on pre/post-intervention time to initial cardiology consult (both from the Epic electronic health record, units in hours).
|
12 months pre and 12 months post-intervention
|
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Clinical impact of the training model on point-of-care ultrasound (POCUS) use and diagnostic performance as measured by emergency department length-of-stay
Tijdsspanne: 12 months pre and 12 months post-intervention
|
The investigators will collect electronic health record data on pre/post-intervention ED length-of-stay (from the Epic electronic health record, units in hours).
|
12 months pre and 12 months post-intervention
|
|
Clinical impact of the training model on heart failure patients as measured by the number of participants with serious cardiac outcomes
Tijdsspanne: 12 months pre and 12 months post-intervention
|
The investigators will collect pre/post-intervention 30-day serious cardiac outcomes including 30-day mortality, ventilation, new dialysis, myocardial infarction (from the Epic electronic health record, units in counts/percentages).
|
12 months pre and 12 months post-intervention
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Ultrasound Self-efficacy Scale
Tijdsspanne: 6 months
|
Post-workshop assessments will assess participant skills via validated Ultrasound Self-efficacy Scale, which is reported on a scale of 1 to 5. A higher score indicates greater self-efficacy.
|
6 months
|
|
Provider adoption as measured by the number of cardiac/lung POCUS exams performed by each participant for ED acute heart failure patients
Tijdsspanne: 12 months pre and 12 months post-intervention
|
12 months pre and 12 months post-intervention
|
|
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Ultrasound image interpretation test
Tijdsspanne: 6 months
|
Post-workshop assessments will assess participant skills via validated ultrasound image interpretation tests (knowledge assessment survey, 11 questions multiple choice).
Scores range from 0 to 11, where a higher score indicates greater knowledge.
|
6 months
|
|
Ultrasound Competency Assessment Test (UCAT)
Tijdsspanne: 6 months
|
Post-workshop assessments will assess participant skills via validated ultrasound simulated scenario performance and technical skills using the UCAT.
The score ranges from 1 ("I had to do", total supervisor intervention) to 5 ("I did not need to be there", independent).
Higher scores indicate greater competency.
|
6 months
|
|
Cost-effectiveness as measured by POCUS (Point-of-Care Ultrasound) revenue
Tijdsspanne: 12 months pre and 12 months post-intervention
|
Number of dollars billed at a flat rate for each procedure type from the Butterfly enterprise and hospital clinical billing data archive, units in dollars.
|
12 months pre and 12 months post-intervention
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Medewerkers en onderzoekers
Sponsor
Onderzoekers
- Hoofdonderzoeker: Rebecca Theophanous, Duke University
Studie record data
Bestudeer belangrijke data
Studie start (Geschat)
Primaire voltooiing (Geschat)
Studie voltooiing (Geschat)
Studieregistratiedata
Eerst ingediend
Eerst ingediend dat voldeed aan de QC-criteria
Eerst geplaatst (Werkelijk)
Updates van studierecords
Laatste update geplaatst (Werkelijk)
Laatste update ingediend die voldeed aan QC-criteria
Laatst geverifieerd
Meer informatie
Termen gerelateerd aan deze studie
Aanvullende relevante MeSH-voorwaarden
Andere studie-ID-nummers
- Pro00120135
Plan Individuele Deelnemersgegevens (IPD)
Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?
Beschrijving IPD-plan
All data will be collected in hospital secured platforms including Duke REDCap, the current clinical Butterfly Enterprise POCUS archiving system, and Epic electronic health records. All data will be de-identified at the collection step and kept as de-identified data for our research purposes. Data will be collected in digital format and stored using standardized file types such as .csv, .txt, .docx, .mp3. The total data volume will cover about 175 participants across 2-3 hospital sites.
The research community will have access to data when the award ends. As required by NHLBI, studies will also be created that contain the data used for every publication. Those studies will be shared when the pre-print is available and have digital object identifiers (DOI) to aid in findability. The investigators will include the DOI in relevant publications. NHLBI will make decisions about how long to preserve the data.
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