- ICH GCP
- US-Register für klinische Studien
- Klinische Studie 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
Studienübersicht
Status
Bedingungen
Intervention / Behandlung
Detaillierte Beschreibung
Studientyp
Einschreibung (Geschätzt)
Phase
- Unzutreffend
Kontakte und Standorte
Studienkontakt
- Name: Rebecca Theophanous, MD, MHSc
- Telefonnummer: 9196848111
- E-Mail: rebecca.theophanous@duke.edu
Studieren Sie die Kontaktsicherung
- Name: Maria Manson
- Telefonnummer: 9196848111
- E-Mail: maria.manson@duke.edu
Teilnahmekriterien
Zulassungskriterien
Studienberechtigtes Alter
- Erwachsene
- Älterer Erwachsener
Akzeptiert gesunde Freiwillige
Beschreibung
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
Studienplan
Wie ist die Studie aufgebaut?
Designdetails
- Hauptzweck: Diagnose
- Zuteilung: N / A
- Interventionsmodell: Sequenzielle Zuweisung
- Maskierung: Keine (Offenes Etikett)
Waffen und Interventionen
Teilnehmergruppe / Arm |
Intervention / Behandlung |
|---|---|
|
Experimental: 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.
|
Was misst die Studie?
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
|
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
Zeitfenster: 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.
|
12 months pre and 12 months post-intervention
|
Sekundäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
|
Acceptability of the Intervention as measured by the Acceptability of Intervention Measure (AIM)
Zeitfenster: 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)
Zeitfenster: 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
Zeitfenster: 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
|
|
Feasibility of implementing a cardiac point-of-care ultrasound (POCUS) simulation training and clinical practice guidelines for physicians and advanced practice providers (APPs)
Zeitfenster: 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
Zeitfenster: 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
Zeitfenster: 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
Zeitfenster: 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
|
|
Clinical impact of the training model on point-of-care ultrasound (POCUS) use and diagnostic performance as measured by emergency department length-of-stay
Zeitfenster: 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
Zeitfenster: 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
|
|
Ultrasound Self-efficacy Scale
Zeitfenster: 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
Zeitfenster: 12 months pre and 12 months post-intervention
|
12 months pre and 12 months post-intervention
|
|
|
Ultrasound image interpretation test
Zeitfenster: 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)
Zeitfenster: 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
Zeitfenster: 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
|
Mitarbeiter und Ermittler
Sponsor
Ermittler
- Hauptermittler: Rebecca Theophanous, Duke University
Studienaufzeichnungsdaten
Haupttermine studieren
Studienbeginn (Geschätzt)
Primärer Abschluss (Geschätzt)
Studienabschluss (Geschätzt)
Studienanmeldedaten
Zuerst eingereicht
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst gepostet (Tatsächlich)
Studienaufzeichnungsaktualisierungen
Letztes Update gepostet (Tatsächlich)
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Zuletzt verifiziert
Mehr Informationen
Begriffe im Zusammenhang mit dieser Studie
Schlüsselwörter
Zusätzliche relevante MeSH-Bedingungen
Andere Studien-ID-Nummern
- Pro00120135
Plan für individuelle Teilnehmerdaten (IPD)
Planen Sie, individuelle Teilnehmerdaten (IPD) zu teilen?
Beschreibung des IPD-Plans
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.
Arzneimittel- und Geräteinformationen, Studienunterlagen
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