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Learning How Behavioral Economics Impacts Health Decisions

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Center for Health Incentives and Behavioral Economics Research

CHIBE researchers apply concepts from the field of behavioral economics to design, implement, and evaluate interventions that improve health and build knowledge about efficacy, cost and effectiveness. 

Basic Science Core Request for Applications

The Basic Science Core aims to support laboratory or low-cost field studies that will shed light on mechanisms that can generate behavior change.  In contrast to previous large-scale field studies, which have often combined multiple mechanisms into one intervention in order to maximize impact on behavior, basic science projects supported by the Core focus on disentangling and precisely identifying the impacts of individual mechanisms.  CHIBE researchers interested in applying for project support can click here for more information.

 

 

Health Incentives and Behavioral Economics Research Studies

You are viewing 5 posts with the tag Dylan Small

Causal Inference in Observational Studies

Principal Investigators: Dylan Small, Paul Rosenbaum

The project goals are to address the hidden biases in observational studies by examining study methodology, specifically focusing on effect modification, the relationship between case definition and sensitivity to unmeasured biases, clustered treatment assignment, and the use of risk set matching to provide finer control of time dependent instrumental variables.  

Funder: National Science Foundation

Tags: Dylan Small

Comparative Efficacy, Acceptance and Effectiveness of Health Incentive Structures

Principal Investigator: Scott Halpern

The goal of the project is to compare different economic incentive structures for smoking cessation to define the mechanisms by which incentives alter behavior and inform the design of smoking interventions.

Funder: National Cancer Institute


Evaluation of a Patient-Centered Medical Home

Principal Investigators: Rachel Werner

Co-investigators:  Glick, Shea, Small, Volpp

As US policy makers, health care providers, and consumers seek ways to bend the health care cost curve while improving the quality of care and efficiency of health care delivery, one model of primary care delivery that has garnered increasing attention and support is the Patient-Centered Medical Home (PCMH). Focused on primary care, improved coordination of care, and incorporation of health information technology (HIT), the PCMH model holds promise for improving patient outcomes and health care quality. Because of these potential advantages over the fragmented delivery system that currently dominates US health care, PCMH demonstrations have been implemented in practices across the country, and the medical home has received increasing attention at both the federal and state levels.

Even with these recognized standards and best practices, PCMH practices vary in terms of which aspects of the PCMH model they implement. Evaluations of PCMH demonstrations are necessary to identify specific aspects of the model that may influence patient outcomes and efficiency, and maximize the potential benefits of the PCMH in existing and future demonstrations and practices. As private payers, state, and federal programs continue to invest more in the PCMH model, the need for empirical evidence identifying the features of the model that improve health outcomes and reduce costs becomes greater.  The overall objective of this study is to determine the effectiveness of an existing PCMH pilot implemented in the State of New Jersey on selected quality measures.

Funded by: Horizon Healthcare Innovations


A Randomized Trial of Incentives and Peer Mentors to Improve Diabetic Outcomes

Principal Investigator:  Long

Co-investigators:  Ferguson, Glick, Loewenstein, Small, Volpp, Weiner

One-on-one peer mentoring and financial incentives are being compared as interventions which might address some of the barriers to effective disease management common among patients with diabetes.  If effective, these interventions could provide important models for improving glucose control in general and, in particular, for addressing racial disparities in diabetes outcomes.

Funder:  National Institute of Diabetes and Digestive and Kidney Diseases


Impact of Resident Work Hour Rules on Errors and Quality

Principal Investigators: Volpp / Silber

Co-investigators:  Bellini, Bosk, Potts, Romano, Shea, Small, Wainer

Regulation of work hours for physicians in training was put in place by the Accreditation Council for Graduate Medical Education (ACGME) in 2003. While there is some evidence that the regulations improved mortality outcomes in the short-term, little is known about the impact on educational outcomes or longer-term clinical outcomes. This research involves analysis of the effect of ACGME work hour rules on errors and quality in non-VA teaching hospitals.

Funded by: National Institutes of Health / National Heart, Lung and Blood Institute