Using Nudges to Implement Comparative Effectiveness
NCT01575171 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 19
Last updated 2015-08-03
Summary
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.
Conditions
Interventions
- BEHAVIORAL
-
Nudge
Behavioral economics recognizes that individuals often are not fully "rational" in the purely economic sense, but are subject to the influence of various social, environmental and cognitive factors in their decision making. And, one can take advantage of these findings to "nudge" individuals, in our case physicians, towards more optimal choices. Physicians randomized to the automated clinical decision support "nudge" will see the new "optout" prescribing procedure as part of their EHR interface. This will include initially prescribing the guideline-based medication, simvastatin 20mg. Nearly six months after this visit, physicians will receive a reminder via EHR to schedule a follow-up fasting lipid profile as recommended by ATP III guidelines.
Sponsors & Collaborators
- lead OTHER
Principal Investigators
-
Joseph Ravenell, MD, MS · NYU School of Medicine
-
Brian Elbel, PhD, MPH · NYU School of Medicine
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2010-09-30
- Primary Completion
- 2015-05-31
- Completion
- 2015-05-31
Countries
- United States
Study Locations
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