Using Reinforcement Learning to Personalize Electronic Health Record Tools to Facilitate Deprescribing
- Conditions
- Aging
- Registration Number
- NCT06660979
- Lead Sponsor
- Brigham and Women's Hospital
- Brief Summary
The overall goal of the proposed research is to refine and adapt and perform efficacy testing of a novel reinforcement learning-based approach to personalizing EHR-based tools for PCPs on deprescribing of high-risk medications for older adults. The trial will be conducted at Atrius Health, an integrated delivery network in Massachusetts, and will intervene upon primary care providers. The investigators will conduct a cluster randomized trial using reinforcement learning to adapt electronic health record (EHR) tools for deprescribing high-risk medications versus usual care. 60 PCPs will be randomized (i.e., 30 each to the reinforcement learning intervention and usual care \[no EHR tool\] in each arm) to the trial and follow them for approximately 30 weeks. The primary outcome will be discontinuation or ordering a dose taper for the high-risk medications for eligible patients by included primary care providers, using EHR data at Atrius. The primary hypothesis is that the personalized intervention using reinforcement learning will improve deprescribing compared with usual care.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 60
The trial will intervene upon primary care providers (including physicians and PCP-designated nurse practitioners and physician assistants) at Atrius Health.
Patients of the PCPs will be included in the intervention and analysis if they are >/=65 years of age and have been prescribed >/= 90 pills of high-risk medications in the prior 180 days based on EHR data.
- Not a primary care provider at Atrius Health
- Prior randomization to intervention arm in the prior NUDGE-EHR trial
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Primary Outcome Measures
Name Time Method Discontinuation or taper for high-risk medication Through trial completion, up to 7 months Deprescribing will be assessed using routinely collected data from the EHR system for eligible patients flagged as in need of deprescribing. The deprescribing outcome will be a "reduction" in inappropriate prescribing, defined as either discontinuation of one the the medication classes of interest or ordering a dose taper.
- Secondary Outcome Measures
Name Time Method Discontinuation of high-risk medication Through trial completion, up to 7 months Discontinuation of medication assessed using routinely-collected data from the EHR system for eligible patients flagged as in need of deprescribing.
Trial Locations
- Locations (1)
Atrius Health
🇺🇸Boston, Massachusetts, United States