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Clinical Trials/NCT04181307
NCT04181307
Completed
Not Applicable

A Randomized Trial of a BE-EHR Module to Guide the Care of Older Adults With Diabetes

NYU Langone Health1 site in 1 country7,630 target enrollmentDecember 1, 2020
ConditionsDiabetes

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Diabetes
Sponsor
NYU Langone Health
Enrollment
7630
Locations
1
Primary Endpoint
Number of Participants Who Are CW-Compliant and CW-Noncompliant
Status
Completed
Last Updated
2 years ago

Overview

Brief Summary

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.

Registry
clinicaltrials.gov
Start Date
December 1, 2020
End Date
July 1, 2022
Last Updated
2 years ago
Study Type
Interventional
Study Design
Parallel
Sex
All

Investigators

Responsible Party
Sponsor

Eligibility Criteria

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

Outcomes

Primary Outcomes

Number of Participants Who Are CW-Compliant and CW-Noncompliant

Time Frame: 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-noncompliant.

Secondary Outcomes

  • Number of Total Prescription Encounters(Month 18)

Study Sites (1)

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