Using Nudges to Implement Comparative Effectiveness
Completed
Conditions studied: Hypercholesterolemia
In brief
Behavioral economics represents a powerful, albeit underutilized tool to influence provider and systems behavior in a large-scale, meaningful, and sustainable way. The investigators propose to use a sophisticated electronic health record (EHR) system to change the default choice for physicians to the choice most supported by clinical practice guidelines (CPG). Multiple guidelines exist describing best practices for effective interventions, yet a large gap persists between actual and optimal guideline compliance. The proposed study will examine the comparative effectiveness of an opt-out medication management protocol relative to usual care for patients not at goal, using national guidelines for cholesterol management implemented in large multispecialty private practices that use an Electronic Health Record system. Specific Aim: To determine the effectiveness of altering the default option in an EHR in prescribing statins to selected patients using clinical decision support. Hypotheses: Compared to usual care, a CPG-concordant intervention designed using behavioral economics principles will significantly improve the proportion of patients who are prescribed statins.
Key facts
- Study ID
- NCT01575171
- Run by
- NYU Langone Health
- People needed
- 19
- Starts
- 2010-09-01
- Expected to finish
- 2015-05-01
- Last updated by the study team
- 2015-08-03
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Male patients 18+
- Female patients age 50+ (to avoid the possibility of women of childbearing age being started on statin)
- Fasting lipid profile from the past year who meet ATP III guidelines for requiring a statin
You may not qualify if…
- Women less than 50 years of age
- Patients with allergy/myopathy to statins in the past
- Patients with active liver disease
Where it is running
- Murray Hill Medical Group — New York, New York, United States
Full record on ClinicalTrials.gov
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