Purpose of this Study
Everyone who shows interest and passes an early screening will be invited to join all three design group sessions. At the first session, the team will explain what the sessions are about, the benefits and risks, and ask people to give consent. They will also complete some short assessments. The total time for all three sessions will be about three hours, and the team will schedule them at times that work best for the doctors, patients, and caregivers taking part. All three sessions will be held online. In these sessions, doctors and patient or caregiver participants will help design and improve a new tool that supports medical decision making.
Who Can Participate?
Eligibility
Clinicians can join this study if they are 18 years or older, have worked at Duke for at least one year, and give consent. They will be recruited from primary care, geriatrics, psychiatry, and neurology. Patients can join if they are 65 years or older, go to the Duke Geriatrics Evaluation and Treatment Clinic, and take at least one medicine that affects the central nervous system. Patients and caregivers may be selected together when a caregiver is involved.
Age Range
18-110
Sex/Genders
Male (cisgender)
Female (cisgender)
Looking for Healthy Participants
Yes
What is Involved?
Description
The goal of this part of the study is to design and test a tool that helps doctors and patients understand computer generated advice about stopping or lowering medicines. The tool should be easy to understand, clear about how it makes decisions, and something people can trust. This work uses what was learned in the first part of the study, where computer models created personalized treatment recommendations.
Locations
Remote/online
Compensation
Yes
Spanish Materials Available
No
Study Details
Full Title
Deprescribing Decision-Making using Machine Learning Individualized Treatment Rules to Improve CNS Polypharmacy- Aim-II (sIRB)
Principal Investigator
Juliessa
Pavon
Protocol Number
PRO00119273
Enrollment Status
Pending Open to Enrollment