EHR Nudges: Optimizing a Clinical Decision Support System for Evidence-Based Statin Medication Prescribing to Reduce the Risk of Cardiovascular Disease
The overall objective of this proposal is to develop and optimize a CDSS, including several nudges, to increase guideline-concordant statin prescribing for CVD risk (Nudge-CVD-CDSS). Potential nudges will be developed, usability tested and refined and then evaluated in a factorial trial. The aim of this trial is to develop, based on a conceptual model of the prescribing process, a set of potential intervention components (EHR-nudges) to promote and support AHA/ACC guideline-concordant statin prescribing. A user-centered design process will be employed. EHR audit log data will be used to identify technical workflows of current provider prescribing patterns. Provider- and patient-directed default, peer comparison, and salient messaging nudges will be developed (5 total). Patient-directed nudges will encourage patients to prompt their providers to prescribe guideline-concordant statins.
Studienübersicht
Status
Bedingungen
Intervention / Behandlung
Studientyp
Einschreibung (Geschätzt)
Phase
- Unzutreffend
Kontakte und Standorte
Studienkontakt
- Name: Nicole Redfern
- Telefonnummer: 646-501-2501
- E-Mail: Nicole.Redfern@nyulangone.org
Studienorte
-
-
New York
-
New York, New York, Vereinigte Staaten, 10016
- NYU Langone Health
-
-
Teilnahmekriterien
Zulassungskriterien
Studienberechtigtes Alter
Akzeptiert gesunde Freiwillige
Studienberechtigte Geschlechter
Beschreibung
Inclusion Criteria:
Providers:
1. Medical doctor, nurse practitioner, and physician assistants practicing at any NYULH Internal or Family Medicine practice.
Patients:
- Age 40-75 years old
- Had a previous visit in the past 12 months with a provider at any NYULH Internal or Family Medicine practice.
- Had blood pressure documented in the last 12 months
- Had LDL results completed in the last 12 months
- Has either a diagnosis of cardiovascular disease, LDL > 190, or ASCVD risk score ≥ 20%
Exclusion Criteria:
Providers - N/A
Patients:
- Pregnant
- Has allergy or contraindication to statin
- Already taking a high-intensity statin
- Has diagnosis of dementia
Studienplan
Wie ist die Studie aufgebaut?
Designdetails
- Hauptzweck: Versorgungsforschung
- Zuteilung: Zufällig
- Interventionsmodell: Fakultätszuweisung
- Maskierung: Single
Waffen und Interventionen
Teilnehmergruppe / Arm |
Intervention / Behandlung |
|---|---|
|
Experimental: Provider
Providers will be randomly assigned into 1 of 31 conditions. Each condition will have a unique combination of nudges A-E. |
A clinical decision support system (CDSS) inside of the electronic health record (EHR) to support and encourage providers to prescribe statins for at risk patients, in concordance with guidelines. EHR Nudges consist of 5 different nudges (A, B, C, D, E). |
|
Kein Eingriff: Control
Providers randomized to this arm will receive no EHR nudges. |
|
|
Experimental: Patient
Patients will be randomly assigned into 1 of 31 conditions. Each condition will have a unique combination of nudges A-E. |
A clinical decision support system (CDSS) inside of the electronic health record (EHR) to support and encourage providers to prescribe statins for at risk patients, in concordance with guidelines. EHR Nudges consist of 5 different nudges (A, B, C, D, E). |
Was misst die Studie?
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Zeitfenster |
|---|---|
|
Percentage of patients indicated for statin therapy who were prescribed a guideline-approved statin at the correct dose during the study period
Zeitfenster: Month 18
|
Month 18
|
Mitarbeiter und Ermittler
Sponsor
Ermittler
- Hauptermittler: Safiya Richardson, MD, MPH, NYU Langone Health
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
- 23-01349
- 1R01HL171292-01 (US NIH Stipendium/Vertrag)
Plan für individuelle Teilnehmerdaten (IPD)
Planen Sie, individuelle Teilnehmerdaten (IPD) zu teilen?
Beschreibung des IPD-Plans
The de-identified participant data from the final research dataset used in the published manuscript will be shared upon reasonable request beginning 9 months and ending 36 months following article publication or as required by a condition of awards and agreements supporting the research provided the investigator who proposes to use the data executes a data use agreement with NYU Langone Health. Requests may be directed to Nicole.Redfern@nyulangone.org. The protocol and statistical analysis plan will be made available on Clinicaltrials.gov only as required by federal regulation or as a condition of awards and agreements supporting the research.
IPD-Sharing-Zeitrahmen
Beginning 9 months and ending 36 months following article publication or as required by a condition of awards and agreements supporting the research.
IPD-Sharing-Zugriffskriterien
The investigator who proposed to use the data will be provided access upon reasonable request. Requests should be directed to Nicole.Redfern@nyulangone.org. To gain access, data requestors will need to sign a data access agreement.
Art der unterstützenden IPD-Freigabeinformationen
- STUDIENPROTOKOLL
- SAFT
Arzneimittel- und Geräteinformationen, Studienunterlagen
Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt
Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt
Diese Informationen wurden ohne Änderungen direkt von der Website clinicaltrials.gov abgerufen. Wenn Sie Ihre Studiendaten ändern, entfernen oder aktualisieren möchten, wenden Sie sich bitte an register@clinicaltrials.gov. Sobald eine Änderung auf clinicaltrials.gov implementiert wird, wird diese automatisch auch auf unserer Website aktualisiert .