A Randomized Trial of a BE-EHR Module to Guide the Care of Older Adults With Diabetes
2 other identifiers
interventional
7,630
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable diabetes
Started Dec 2020
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 26, 2019
CompletedFirst Posted
Study publicly available on registry
November 29, 2019
CompletedStudy Start
First participant enrolled
December 1, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
July 1, 2022
CompletedResults Posted
Study results publicly available
July 19, 2023
CompletedJuly 19, 2023
July 1, 2023
1.6 years
November 26, 2019
June 26, 2023
July 18, 2023
Conditions
Outcome Measures
Primary Outcomes (1)
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 Outcomes (1)
Number of Total Prescription Encounters
Month 18
Study Arms (2)
standard EPIC instantiation
NO INTERVENTIONAs per standard procedure at NewYorkUniversity Langone Health
standard EPIC instantiation plus the BE-EHR module.
EXPERIMENTALThe BE-EHR module includes six components: 1) a tailored advisory for patients over 75 with diabetes, 2) medication refill protocol with information on Choosing Wisely guidelines, 3) pre-population of the medication preference list with metformin, 4) lab result protocol with information on Choosing Wisely guidelines, 5) peer comparisons regarding performance meeting guidelines, and 6) media campaign with information about Choosing Wisely guidelines. The set of nudges is referred to collectively as the BE-EHR module.
Interventions
The BE-EHR module includes six components: 1) a tailored advisory for patients over 75 with diabetes, 2) medication refill protocol with information on Choosing Wisely guidelines, 3) pre-population of the medication preference list with metformin, 4) lab result protocol with information on Choosing Wisely guidelines, 5) peer comparisons regarding performance meeting guidelines, and 6) media campaign with information about Choosing Wisely guidelines. The set of nudges is referred to collectively as the BE-EHR module.
Eligibility Criteria
You may qualify if:
- 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
You may not qualify if:
- Under age 75
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- NYU Langone Healthlead
- National Institute on Aging (NIA)collaborator
Study Sites (1)
NYU Langone Health
New York, New York, 10016, United States
Related Publications (2)
Viswanadham RVN, Belli HM, Martinez TR, Wong C, Blecker S, Troxel AB, Mann DM. When Nudges Don't Budge: A Mixed Methods Study of Why EHR-Based Deprescribing Nudges Failed to Change Provider Behavior. Res Sq [Preprint]. 2025 Sep 23:rs.3.rs-7466262. doi: 10.21203/rs.3.rs-7466262/v1.
PMID: 41041570DERIVEDBelli HM, Troxel AB, Blecker SB, Anderman J, Wong C, Martinez TR, Mann DM. A Behavioral Economics-Electronic Health Record Module to Promote Appropriate Diabetes Management in Older Adults: Protocol for a Pragmatic Cluster Randomized Controlled Trial. JMIR Res Protoc. 2021 Oct 27;10(10):e28723. doi: 10.2196/28723.
PMID: 34704959DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Andrea B. Troxel, ScD
- Organization
- NYU Langone Health
Study Officials
- PRINCIPAL INVESTIGATOR
Andrea Troxel, ScD
NYU Langone
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 26, 2019
First Posted
November 29, 2019
Study Start
December 1, 2020
Primary Completion
July 1, 2022
Study Completion
July 1, 2022
Last Updated
July 19, 2023
Results First Posted
July 19, 2023
Record last verified: 2023-07
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP
- Time Frame
- Beginning 9 months and ending 36 months following article publication or as required by a condition of awards and agreements supporting the research.
- Access Criteria
- The investigator who proposed to use the data. Upon reasonable request. Requests should be directed to andrea.troxel@nyulangone.org. To gain access, data requestors will need to sign a data access agreement.
Individual participant data that underlie the results reported in this article, after deidentification (text, tables, figures, and appendices).