An Electronic Clinical Decision Support Tool to Reduce Low-value Antipsychotic Prescriptions
Completed · Not applicable
Conditions studied: Alzheimer Disease, Dementia Alzheimers, Dementia of Alzheimer Type
In brief
The goal of this study will be to design, implement and test the impact of a quality improvement (QI) intervention that uses an EHR CDS tool among physicians newly ordering an antipsychotic medication for older adults with ADRD. The study team hypothesizes that the intervention will reduce each participating clinician's pill days per patient prescribed.
Key facts
- Study ID
- NCT04851691
- Run by
- University of California, Los Angeles
- People needed
- 158
- Starts
- 2021-08-03
- Expected to finish
- 2023-08-14
- Last updated by the study team
- 2024-09-19
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Physicians who will be eligible to receive the EHR CDS tool intervention include those who provide ambulatory care in the UCLA health system and have newly prescribed antipsychotics (e.g., Quetiepine, Olanzapine, Risperidone, Aripiprazole, Haloperidol, Clozapine) for eligible patients (described below) at the medical center in the last 24 months.
- Eligible patients will be enrolled in the study during their first encounter with one of the randomized physicians (see above) during which a new antipsychotic medication order will be initiated. Inclusion criteria for patients will include: 1) having an assigned primary care physician (PCP) and/or assignment to an Accountable Care Organization (ACO) at UCLA Health, and: 2) being part of the health system's EHR-based dementia registry.
You may not qualify if…
- Patients who have diagnosis codes for schizophrenic disorders, delusion disorders, bipolar disorders, or other non-organic psychoses on their problem list.
- Patients with Parkinson's disease on their problem list
- Patients who have been prescribed antipsychotics in the prior 12 months
Where it is running
- UCLA Health — Los Angeles, California, United States
Full record on ClinicalTrials.gov
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