Diabetes Clinical Trial
Official title:
A Randomized Trial of a BE-EHR Module to Guide the Care of Older Adults With Diabetes
| Verified date | July 2023 |
| Source | NYU Langone Health |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
This RCT will test a new electronic health record module to improve guideline-compliant care of older adults with diabetes. The module incorporates effective behavioral economics (BE) principles to improve the degree to which care of older adults is compliant with Choosing Wisely (CW) guidelines; this generally involves less aggressive targets for HbA1c, and reductions of medications other than metformin. The implementation of the module is triggered by patient scheduling and medication prescribing in EPIC. The BE principles include suggesting alternatives to medications, requiring justification, setting of appropriate default order sets, and incorporation of anchoring and checklists to guide behavior.
| Status | Completed |
| Enrollment | 7630 |
| Est. completion date | July 1, 2022 |
| Est. primary completion date | July 1, 2022 |
| Accepts healthy volunteers | No |
| Gender | All |
| Age group | 75 Years and older |
| Eligibility | Inclusion Criteria: - Patient at NYULH primary care or endocrinology practice - Practices that have patients aged 75 or older - Practices that have a diagnosis of diabetes in the EHR chart Exclusion Criteria: • Under age 75 |
| Country | Name | City | State |
|---|---|---|---|
| United States | NYU Langone Health | New York | New York |
| Lead Sponsor | Collaborator |
|---|---|
| NYU Langone Health | National Institute on Aging (NIA) |
United States,
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Number of Participants Who Are CW-Compliant and CW-Noncompliant | In order to evaluate Choosing Wisely (CW) compliance status, the BE-EHR algorithm will capture information on demographics, diagnoses in the patient's problem list, prescription history, and relevant lab results (i.e. allergies and blood glucose (HbA1c)) The study team members will not collect this information directly; data will be collected in NYULH's EHR system, EPIC, and an EPIC Reporting analyst will extract the relevant parameters from the EHR into a report. The study team members only receive the ultimate determination from the algorithm that the patient is either CW-compliant or CW-noncompliant. | Month 18 | |
| Secondary | Number of Total Prescription Encounters | The Refill Protocol nudge activates in Epic any time a medication refill for either Metformin or a non-Metformin diabetes medication is generated for a patient over 75 | Month 18 |
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