75 and older, any sex, with Diabetes. Patients with the condition only — healthy volunteers not accepted.
Results — posted to ClinicalTrials.gov
Per-arm endpoint measurements with 95% confidence intervals where reported. Source: trial results section.
Number of Participants Who Are CW-Compliant and CW-NoncompliantPrimary· Month 18
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-non
Group
Value
95% CI
Standard EPIC Instantiation
412
Standard EPIC Instantiation Plus the BE-EHR Module.
704
Standard EPIC Instantiation
1232
Standard EPIC Instantiation Plus the BE-EHR Module.
1854
Number of Total Prescription EncountersSecondary· Month 18
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
Group
Value
95% CI
Standard EPIC Instantiation
0
Standard EPIC Instantiation Plus the BE-EHR Module.
2056
Sponsor's own description
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.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
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Sponsor: as reported to ClinicalTrials.gov by NYU Langone Health
Last refreshed: 19 July 2023
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04181307.