WE BELIEVE IN

BETTER HEALTH

THROUGH BEHAVIOR CHANGE

A Sample of Our Work

Behavioral nudges for vaccination
Redesigned EHR prompts to motivate optimal prescribing
Mobile technology for hypertension
Multicomponent intervention for chronic diseases
Longitudinal patterns of healthcare spending
Electronic health record data to predict medication non-adherence

Center Highlights

Recent Publications

 

 

Use of Data-Driven Methods to Predict Long-term Patterns of Health Care Spending for Medicare Patients

Lauffenburger JC, Mahesri M, Choudhry NK.

JAMA Netw Open. 2020 Oct 

 

Not there yet: using data-driven methods to predict who becomes costly among low-cost patients with type 2 diabetes 

Lauffenburger JC, Mahesri M, Choudhry NK.

BMC Endocr Disord. 2020 Aug 

Comparison of a new 3-item self-reported measure of adherence to medication with pharmacy claims data in patients with cardiometabolic disease

Lauffenburger JC, Fontanet CP, Isaac T, Gopalakrishnan C, Sequist TD, Gagne JJ, Jackevicius CA, Fischer MA, Solomon DH, Choudhry NK.

Am Heart J. 2020 Jun

News & Media

Dr. Choudhry's discusses the know-do gap in healthcare.    View

 

Dr. Lauffenburger was interviewed regarding her research on medication adherence within the Division of Pharmacoepidemiology and Pharmacoeconomics at Brigham and Women's Hospital.    View

Applications are now open for the Fellows Program in Implementation Research at Brigham and Women's Hospital.    View

 

Dr. Choudhry will be teaching a 2-day class focused on T3/T4 research, which aims to address gaps in knowledge that persist after the efficacy and safety of interventions have been defined in optimal settings.    View

Dr. Choudhry discusses the STIC2IT pragmatic trial during the NIH Collaboratory Grand Rounds.    View

Dr. Choudhry discusses how value-based insurance design can improve adherence and outcomes.    View

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