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Population Health Approach to Optimizing and Deprescribing Medications in Older Adults
This randomized controlled pragmatic pilot study examines the feasibility and acceptability of a population health-based deprescribing intervention that leverages a polypharmacy risk prediction model. It includes four arms (2 intervention and 2 control arms) and uses a parallel arm study design.
This pilot clinical trial will examine the feasibility and acceptability of a medication management intervention that uses risk stratification to identify older adults (including older adults with Mild Cognitive Impairment or Alzheimer's Disease and Related Dementias) at greatest risk for polypharmacy-related adverse events. The intervention will use a risk prediction model to identify potential study participants for inclusion and enroll them and their care partners into a polypharmacy clinic. The study will stratify patients by cognitive impairment status. The risk prediction model includes variables such as: age, sex, recent healthcare encounters, current and past medications, current and past lab tests, current and past diagnoses.
Age
65 - No limit years
Sex
ALL
Healthy Volunteers
No
Cedars-Sinai Medical Center
Los Angeles, California, United States
Start Date
May 19, 2025
Primary Completion Date
November 24, 2026
Completion Date
December 1, 2026
Last Updated
May 21, 2025
100
ESTIMATED participants
Patient-tailored deprescribing assessment and intervention
BEHAVIORAL
Lead Sponsor
Cedars-Sinai Medical Center
Collaborators
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.
View ClinicalTrials.gov Terms and ConditionsNCT07022990