This project is funded under the Robert Wood Johnson Foundation’s research program, “Health Data for Action (HD4A),” which makes valuable data from unique data owners available to researchers to answer important research questions. The goal of the study is to document and describe health care price variation across procedures, providers, insurers, and markets. Using Clarify Health’s Transparency in Coverage data, the study seeks to use regression analyses to decompose price variation and identify the provider, insurer, hospital and geographic market characteristics associated with health care price variation. The team will use multivariate regression models, Lasso models, and other machine learning models to assess their aims. Deliverables will include a project work plan and final narrative report. The researchers will also produce papers suitable for publication and present findings at national research meetings and to other stakeholder audiences as appropriate, including policymakers at the federal, state, and local levels and other key stakeholders, as part of the deliverables for this grant. 

Grant #81866
Grantee Organization: Brown University
Grantee period: 06/15/24 – 06/14/26

Principal Investigators:

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Researcher

Christopher Whaley, Ph.D.

Associate Professor in the Department of Health Services, Policy, and Practice - Brown University School of Public Health

Dr. Whaley is an Associate Professor in the Department of Health Services, Policy, and Practice at the Brown U... Read Bio