An Electronic Clinical Decision Support Tool to Reduce Low-value Antipsychotic Prescriptions
Last updated on July 2021Recruitment
- Recruitment Status
- Enrolling by invitation
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Alzheimer Disease
- Dementia Alzheimers
- Dementia of Alzheimer Type
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Parallel AssignmentMasking: Single (Participant)Primary Purpose: Health Services Research
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
Importance: Among patients with Alzheimer's disease and its related dementias (ADRD) with behavioral disturbances, antipsychotic prescriptions have limited efficacy and substantially increase risk of death. Despite an FDA 2005 "black box" warning and multiple professional physician society guideline...
Importance: Among patients with Alzheimer's disease and its related dementias (ADRD) with behavioral disturbances, antipsychotic prescriptions have limited efficacy and substantially increase risk of death. Despite an FDA 2005 "black box" warning and multiple professional physician society guidelines discouraging their use, physicians continue to frequently prescribe antipsychotic medications as first-line therapy for behavioral disturbances among patients with ADRD. Objective: This study will measure the impact of a multi-pronged electronic health record (EHR) clinical decision support (CDS) tool intervention to reduce physician prescriptions of new antipsychotic medications among older adults with ADRD. Design, Setting, and Participants: Utilizing a pragmatic parallel cluster-randomized trial design, the study will randomize eligible physicians from a large urban academic medical center to either receive an EHR CDS tool (intervention) or not (control) when they prescribe a new antipsychotic medication during a visit with a patient with ADRD. The intervention will include three components: (1) alerts the prescriber that antipsychotic prescriptions increase mortality; (2) offers non-pharmacological behavioral resources for caregivers; and if the prescriber does not cancel the order (3) auto-defaults the prescription to contain the lowest dose and number of pills (n=30) without refills. In addition, the PI will email all providers randomized to the intervention arm in order to make them aware of the components of this intervention and its motivation. Acknowledging the clinical complexity of this vulnerable patient population, the multidisciplinary study team attempted to design the intervention to maximize impact while minimizing clinician burden. Over a one-year timeframe, the study team will compare the cumulative total of new antipsychotic pill-days prescribed (primary outcome) by physicians in the intervention group versus in the control group. Hypothesis: This pragmatic trial will advance understanding of how a multi-pronged EHR CDS tool can potentially reduce harmful, low-value care among older adults with ADRD.
Tracking Information
- NCT #
- NCT04851691
- Collaborators
- National Institute on Aging (NIA)
- Investigators
- Principal Investigator: Catherine A Sarkisian, MD, MSPH University of California, Los Angeles