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| ID | Type | Description | Link |
|---|---|---|---|
| 23SCISA1144584 | Other Identifier | American Heart Association |
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| Name | Class |
|---|---|
| American Heart Association | OTHER |
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To work best, clinical decision support tools (CDS) must be timed to provide support when healthcare decisions are made, which includes virtual visits (phone or video). Unfortunately, most CDS tools are either missing from virtual visits or not designed for the unique context of virtual visits (e.g., availability of physical assessments and labs, different workflows), which could generate new inequities for patients more likely to use virtual visits. The objective of this study is to test the reach, feasibility and acceptability of a new CDS tool for heart failure with reduced ejection fraction (HFrEF) during virtual visits. This new CDS tool was developed through an iterative design process, and will be compared to an existing HFrEF CDS tool in a randomized pilot study at outpatient cardiology clinics throughout the UCHealth system.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Iteratively designed (new) clinical decision support tool for virtual visits | Experimental | The new, iteratively designed clinical decision support tool includes the traditional CDS along with links to supportive tip-sheets, which include one for providers on how to add an order for patients to upload vitals in their electronic health record, and one that walks patients through how to upload vitals on their own. |
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| Traditional clinical decision support tool | Experimental | The traditional CDS tool is the usual care intervention, and does not include links to tip-sheets to support virtual patient care. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Iteratively designed (new) clinical decision support tool for virtual visits | Other | The new, iteratively designed clinical decision support tool includes the traditional CDS along with links to supportive tipsheets, which include one for providers on how to add an order for patients to upload vitals in their electronic health record, and one that walks patients through how to upload vitals on their own. |
| Measure | Description | Time Frame |
|---|---|---|
| Number of CDS alerts resulting in the prescription of a recommended medication | The primary outcome is number of CDS alerts that resulted in the prescription of the medication recommended by the CDS alert. Recommended medications include either evidence-based beta blockers, sacubitril/valsartan, mineralocorticoid receptor antagonists or sodium/glucose cotransport 2 inhibitors. Prescriptions will be based on actual prescription orders instead of clinician-stated responses, given the latter may overestimate effectiveness. | 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| Number of patients the CDS alerted for | This outcome evaluates the reach of the CDS by counting the number of patients that the CDS alerted for. | 6 months |
| Number of times a prescriber ordered at-home vitals |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Katy Trinkley, PharmD, PhD | University of Colorado, Denver | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UCHealth Primary Care and Cardiology Outpatient Clinics | Aurora | Colorado | 80045 | United States |
Data obtained through this study may be provided to qualified researchers with academic interest in related areas of interest. Data shared will be coded, with no PHI included. Approval of the request and execution of all applicable agreements (e.g., data use/sharing agreements) are prerequisites to the sharing of data with the requesting party. Data requests can be submitted starting 9 months after article publication and the data will be made accessible for up to 24 months. Access to trial IPD can be requested by qualified researchers engaging in independent scientific research, and will be provided following review and approval of a research proposal and Statistical Analysis Plan (SAP) and execution of a Data Sharing Agreement.
Data requests can be submitted starting 9 months after article publication and the data will be made accessible for up to 24 months.
Data obtained through this study may be provided to qualified researchers with academic interest in related areas of interest. Data shared will be coded, with no PHI included. Approval of the request and execution of all applicable agreements (e.g., data use/sharing agreements) are prerequisites to the sharing of data with the requesting party. Access to trial IPD can be requested by qualified researchers engaging in independent scientific research, and will be provided following review and approval of a research proposal and Statistical Analysis Plan (SAP) and execution of a Data Sharing Agreement.
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Compare two different types of a virtual CDS tool in a randomized pilot study at one health system.
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| Traditional clinical decision support tool | Other | The traditional CDS tool is the usual care intervention, and does not include links to tipsheets to support virtual patient care. |
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This outcome will count the number of times a prescriber orders patients to take their vitals at home after being exposed to the CDS tool.
| 6 months |
| Number of patients who upload their vitals in the patient portal | This outcome will count the number of patients who upload their vitals into the electronic medical record. | 9 months |
| Number of alerts that were not outright dismissed | This outcome will help investigators understand if the CDS id being used or dismissed. | 6 months |
| Number of prescription orders for guideline directed medical therapy (GDMT) for heart failure | This outcome measures the number of prescriptions for each of the four categories of GDMT: evidence-based beta blockers, sacubitril/valsartan, mineralocorticoid receptor antagonists or sodium/glucose cotransport 2 inhibitors. | 6 months |
| ID | Term |
|---|---|
| D006333 | Heart Failure |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
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