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Background


The Healthy People 2020 action plan launched by the U.S. Department of Health and Human Services includes goals to increase access to population-level data sources and activities, and to establish data systems to support evaluation of interventions. Although there are national recommendations for childhood obesity prevention and treatment, gaps exist in information about how, why, where, and when such interventions work best for different populations of children. To address these challenges, the Childhood Obesity Data Initiative (CODI) is building data capacity for research that assesses strategies to prevent and treat childhood obesity. CODI will integrate existing data resources so that researchers can: 1) assess and compare effectiveness of different childhood obesity prevention and treatment interventions, and 2) address identified gaps in childhood obesity research that relate to the ability to tailor interventions for children and families in the context of important sociodemographic, health, and community factors.

Overview


This panel will discuss how CODI will leverage several innovative techniques to accomplish its goals. The first panelist, Dr. Alyson Goodman, will establish the research questions that the CODI infrastructure is designed to answer and provide high-level overview of the CODI data model and how it aligns with existing PCORnet and other common data models. The CODI infrastructure is designed to permit non-clinical partners to contribute data for research, evaluation and surveillance, and Dr. Goodman will share the progress CODI is making to incorporating non-clinical partners into the first CODI pilot.

The principles of PCORnet are to allow participating organizations to contribute data for research purposes while maintaining patient privacy. This presents a challenge for queries that need information on patients across organizations because many PCORnet networks do not exchange personally identifiable information (PII). The second panelist, Dr. Peter Mork, will discuss how CODI addresses this challenge using Privacy-Preserving Record Linkage (PPRL). PPRL transforms PII so that what leaves organizations’ firewalls is not clear-text PII and is virtually impossible to connect back to the patient. 

The final presenter, Ken Scott, will discuss experiences with implementing CODI currently and his perspectives as a future end user of the infrastructure. The process of linking data and coordinating the exchange of such information requires a trusted third party and coordinating center. He will review the challenges and best practices that CODI is leveraging to create data use and sharing agreements.

Learning Objectives


At the conclusion of the session, participants will be able to:

  • Understand the type of research that can be conducted using CODI
  • Understand how CODI identity management will preserve patient privacy while leveraging a distributed network infrastructure
  • List the best practices around establishing data sharing agreements to support multi-organization data sharing using PPRL

Speaker List


Moderator:

Matthew Castner headshot
Committee Member, Member, Presenter

Matthew Castner

Director - Discern Health

Matthew Castner is a Director at Discern Health, where he leads health care reform and value-based care projec... Read Bio

Presenters:

aly goodman headshot
Presenter

Alyson Goodman, M.D., M.P.H.

Medical Epidemiologist - Centers for Disease Control and Prevention

Dr. Alyson Goodman is a medical epidemiologist in the Division of Nutrition, Physical Activity, & Obesity at CDC. Read Bio

peter mork headshot
Presenter

Peter Mork, Ph.D.

Chief Data Engineer - Childhood Obesity Data Initiative (CODI)

Dr. Peter Mork is the chief data engineer for the Childhood Obesity Data Initiative (CODI). Read Bio

ken scott headshot
Member, Presenter

Ken Scott, Ph.D.

Epidemiologist - Denver Public Health

Ken Scott is an epidemiologist with Denver Public Health’s Informatics Group. Read Bio