- ICH GCP
- Yhdysvaltain kliinisten tutkimusten rekisteri
- Kliininen tutkimus 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
Tutkimuksen yleiskatsaus
Tila
Yksityiskohtainen kuvaus
Opintotyyppi
Ilmoittautuminen (Arvioitu)
Vaihe
- Ei sovellettavissa
Yhteystiedot ja paikat
Opiskeluyhteys
- Nimi: Rebecca Theophanous, MD, MHSc
- Puhelinnumero: 9196848111
- Sähköposti: rebecca.theophanous@duke.edu
Tutki yhteystietojen varmuuskopiointi
- Nimi: Maria Manson
- Puhelinnumero: 9196848111
- Sähköposti: maria.manson@duke.edu
Osallistumiskriteerit
Kelpoisuusvaatimukset
Opintokelpoiset iät
- Aikuinen
- Vanhempi Aikuinen
Hyväksyy terveitä vapaaehtoisia
Kuvaus
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
Opintosuunnitelma
Miten tutkimus on suunniteltu?
Suunnittelun yksityiskohdat
- Ensisijainen käyttötarkoitus: Diagnostiikka
- Jako: Ei käytössä
- Inventiomalli: Peräkkäinen tehtävä
- Naamiointi: Ei mitään (avoin tarra)
Aseet ja interventiot
Osallistujaryhmä / Arm |
Interventio / Hoito |
|---|---|
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Kokeellinen: 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.
|
Mitä tutkimuksessa mitataan?
Ensisijaiset tulostoimenpiteet
Tulosmittaus |
Toimenpiteen kuvaus |
Aikaikkuna |
|---|---|---|
|
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
Aikaikkuna: 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
|
Toissijaiset tulostoimenpiteet
Tulosmittaus |
Toimenpiteen kuvaus |
Aikaikkuna |
|---|---|---|
|
Acceptability of the Intervention as measured by the Acceptability of Intervention Measure (AIM)
Aikaikkuna: 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)
Aikaikkuna: 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
Aikaikkuna: 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)
Aikaikkuna: 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
Aikaikkuna: 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
Aikaikkuna: 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
Aikaikkuna: 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
Aikaikkuna: 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
Aikaikkuna: 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
Aikaikkuna: 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
Aikaikkuna: 12 months pre and 12 months post-intervention
|
12 months pre and 12 months post-intervention
|
|
|
Ultrasound image interpretation test
Aikaikkuna: 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)
Aikaikkuna: 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
Aikaikkuna: 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
|
Yhteistyökumppanit ja tutkijat
Sponsori
Tutkijat
- Päätutkija: Rebecca Theophanous, Duke University
Opintojen ennätyspäivät
Opi tärkeimmät päivämäärät
Opiskelun aloitus (Arvioitu)
Ensisijainen valmistuminen (Arvioitu)
Opintojen valmistuminen (Arvioitu)
Opintoihin ilmoittautumispäivät
Ensimmäinen lähetetty
Ensimmäinen toimitettu, joka täytti QC-kriteerit
Ensimmäinen Lähetetty (Todellinen)
Tutkimustietojen päivitykset
Viimeisin päivitys julkaistu (Todellinen)
Viimeisin lähetetty päivitys, joka täytti QC-kriteerit
Viimeksi vahvistettu
Lisää tietoa
Tähän tutkimukseen liittyvät termit
Avainsanat
Muita asiaankuuluvia MeSH-ehtoja
Muut tutkimustunnusnumerot
- Pro00120135
Yksittäisten osallistujien tietojen suunnitelma (IPD)
Aiotko jakaa yksittäisten osallistujien tietoja (IPD)?
IPD-suunnitelman kuvaus
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.
Lääke- ja laitetiedot, tutkimusasiakirjat
Tutkii yhdysvaltalaista FDA sääntelemää lääkevalmistetta
Tutkii yhdysvaltalaista FDA sääntelemää laitetuotetta
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