Our Work

A national evaluation of activity tracker initial activation, sustained use, and physical activity outcomes

Active vs. passive choice framing to increase statin prescribing among cardiologists

Behavioral economic incentives to improve glycemic control among adolescents and young adults with diabetes

Behavioral Economics Framingham Incentive Trial (BE FIT) to increase physical activity

Comparing different lottery designs to increase physical activity among overweight and obese adults

Comparing four designs of social comparison feedback to increase physical activity

Comparing social vs. financial incentives with gamification to increase physical activity among veterans

Designing enhanced risk prediction models for hospital readmission

Evaluating resident perceptions on inappropriate inpatient laboratory testing

Evaluating the presence and design of gamification in popular smartphone applications

Financial incentives to increase physical activity among ischemic heart disease patients

Framing financial incentives to increase physical activity among overweight and obese adults

Gamification and goal-setting to increase physical activity among patients with elevated risk for cardiovascular disease

Gamification and social incentives to improve glycemic control among obese diabetic adults

Gamification and social incentives to promote mobility among hospitalized patients

Gamification and social incentives to promote weight loss

Individual vs. team-based incentives to increase physical activity

Nudges to reduce opioid prescription pill burden

Patient and physician predictors of appropriate statin prescription

Predicting influenza vaccination

Premium-based financial incentives to promote weight loss

Price transparency for inpatient laboratory tests

Secure text messaging and changes in patient outcomes

Sleep disorder breathing: addressing gaps in care through EHR nudges

Social comparisons and financial incentives to increase physical activity

STEP UP

Using active choice and multiple asks to increase routine HIV screening in the ED

Using active choice and peer comparisons to increase statin prescription rates

Using active choice to increase cancer screening

Using active choice to increase influenza vaccination

Using activity data from wearable devices vs. smartphones to predict hospital readmission

Using default options to decrease opioid prescribing durations

Using default options to decrease unnecessary antibiotic duration for pneumonia

Using default options to decrease unnecessary imaging for palliative cancer patients receiving radiation therapy

Using default options to increase generic medication prescribing rates

Using default options to increase referral to cardiac rehabilitation

Using nudges with machine learning algorithms to increase serious illness conversations

Using wearable device data to predict changes in glycemic control

Veterans’ experiences with wearable devices

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Philadelphia, PA 19104