Behavioral Economics Applications to Geriatrics Leveraging EHRs R33 Trial
Last updated on July 2021Recruitment
- Recruitment Status
- Active, not recruiting
- Estimated Enrollment
- 400
Summary
- Conditions
- Asymptomatic Bacteriuria
- Prostate Specific Antigen Screening
- Type 2 Diabetes
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Parallel AssignmentIntervention Model Description: Cluster-randomized by primary care clinic using a constrained randomization process.Masking: Single (Outcomes Assessor)Primary Purpose: Health Services Research
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
Diagnostic and therapeutic strategies misapplied to older adults can lead to increased morbidity and mortality. Despite recommendations from the American Geriatrics Society for the Choosing Wisely Initiative, there are clear examples where clinicians do not often follow best practices leading to pat...
Diagnostic and therapeutic strategies misapplied to older adults can lead to increased morbidity and mortality. Despite recommendations from the American Geriatrics Society for the Choosing Wisely Initiative, there are clear examples where clinicians do not often follow best practices leading to patient harm. These include: (1) testing and treatment for asymptomatic bacteriuria (ASB) in older women, (2) prostate specific antigen (PSA) screening in older men, and (3) aggressive treatment with insulin or oral hypoglycemics for type 2 diabetes. Clinical decision support nudges, informed by behavioral economics and social psychology and delivered via electronic health records (EHRs), are promising strategies to reduce the misuse of services. Behavioral economics-informed interventions influence conscious and unconscious drivers of decision making, are low cost, and can be incorporated into existing systems. This randomized controlled trial will evaluate the effects of three clinical decision support nudges on three clinical quality measures, indicators of patient safety, and clinician attitudes.
Tracking Information
- NCT #
- NCT04289753
- Collaborators
- University of Southern California
- University of California, Los Angeles
- National Institute on Aging (NIA)
- Investigators
- Principal Investigator: Stephen D. Persell, MD, MPH Northwestern University