Recorded presentation

Lee Anne Roman, PhD, RN, College of Human Medicine, Obstetrics and Gynecology; Institute for Health Care Studies, Michigan State University, 225 W. Fee Hall, Michigan State University, East Lansing, MI 48224, 517-432-3990, lroman@msu.edu, Judith K. Lindsay, MPA, RN, Lindsay Consulting, 52 South Park St., Zeeland, MI 49464, Joseph D Moore, MD, Healthier Communities Department, Spectrum Health, 100 Michigan N.E., Grand Rapids, MI 49503, Robert E Mack, Mack Consulting Services, LTD, 10525 Scenic Bluff Lane, NE, Ada, MI 49301, Lawrence Baer, PhD, Consultant, 5540 Chauncey, Belmont, MI 49306, Vincent J. Palusci, MD, MS, Child Protection Team, MSU / Devos Children's Hospital, 100 Michigan, NE, MC-178, Grand Rapids, MI 49503, Molly McCarthy, McCarthy Consulting Service, 5303 Lake Harbour Rd., Muskegon, MI 49441, and Thomas Summerfelt, Ph D, Grand Rapids Medical Education and Research Center for Health Professionals, 1000 Monroe Avenue NW, Grand Rapids, MI 49503.

Federal, state and local communities are challenged to redesign health and social services for low-income pregnant women and children 0-5 that will better enable children to enter school “Healthy and Ready to Learn”. A system of care approach to accomplish a redesign requires community-based infrastructure to collect and link longitudinal, individual level data across multiple institutions. Health and social service agencies, including schools, have data that can be used to better understand early maternal and child risk characteristics, service utilization, and child outcomes. A data utilization enhancement project, funded by Maternal Child Health Bureau, was initiated by a children’s hospital as a collaborative partnership among state and county health departments, local hospitals, a land grant university, an urban school system, and multiple community health and social services. The purpose of the project was to demonstrate how linking individual maternal and child health data could inform practice and guide investment of maternal and child health resources. Data linking and security issues were paramount and addressed through legal agreements, IRB, and Certificates of Confidentiality that assured protection of individuals' identity and data. Data analyses focused on risk characteristics in the prenatal and infancy period, early intervention, school attendance, and school achievement. Examples of data analysis from a cohort of 2nd-3rd grade children will be presented that demonstrate how such information can guide prevention strategies. Lessons learned and next steps that evolved with project partners will be discussed.

Learning Objectives:

• Discuss community partnership processes and data security agreements needed for linking individual level MCH data.
• Describe how findings from early risk characteristics, program participation, and school achievement analyses can influence community prevention programming.
• Articulate strategies that could sustain state-community data linking efforts.

Presenting author's disclosure statement:
I do not have any significant financial interest/arrangement or affiliation with any organization/institution whose products or services are being discussed in this session.

Recorded presentation