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Integrated State Data Systems Walter P. “Pete” Bailey, M.P.H.

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Presentation on theme: "Integrated State Data Systems Walter P. “Pete” Bailey, M.P.H."— Presentation transcript:

1 Integrated State Data Systems Walter P. “Pete” Bailey, M.P.H.

2 South Carolina’s Integrated Health and Human Services Data System All Payer Health Care Utilization Data (Inpatient, ER, Etc.) Medicaid Eligibility and Claims State Employee/teachers Health Plan Eligibility and Claims Vital Records State Agency Program Data Other

3 Linking Individual Records Using a Unique Tracking Number Personal identifiers used solely to determine if individual is already in our system Each individual is assigned a number that stays with them perpetually Unique tracking number randomized so identity can never be discovered Personal identifiers removed from statistical records

4 Integrated Data vs. Administrative Data Monitor change over time Define specific sub-populations at an individual level Link members of sub-population with various program data to identify characteristics –Use of Social Service –Relationship to Criminal Justice –Performance in School –Health Problems

5 Integrated Data vs. Administrative Data Number of Special Needs Children by Agencies and Data Source Total For SC340,033 Medicaid188,786 Inpatient Utilization33,782 ER Utilization47,035 Department of Mental Health28,369 Children’s Rehabilitative Services 9,919 Babynet2,707 Other *Data not unduplicated across all Agencies and Data Sources, numbers will not add to total.

6 Example of Use of Integrated Data System in SC Free & Reduced Lunch & Medicaid Children Linked to Public School Performance English Language Arts Test Scores PACT Exam – Poor & Non-Poor 1999 – 2000 School Year, South Carolina Data linked as part of a cooperative agreement between the Department of Education, SC Education Oversight Committee, SC Department of Health and Human Services, and SC Department of Social Services.

7 Uses for the Safety Net Population Estimating the SC Safety Net Population Linking & Unduplicating Medicaid, TANF, Food Stamps, Uninsured Hospitalizations, ER Visits & Outpatient Surgeries *Free Clinics will be added when data is available WhiteNon-WhiteTotal All Ages14%45%24% 1 – 1426%74%44% 15 – 1717%52%31% 18 – 3419%44%28% 35 – 44 9%25%14% 45 – 64 6%22%10% 65 +10%46%18%

8 Uses in Enrollment in SCHIP Linkage of uninsured inpatient and ER, food stamp clients with Medicaid eligibility Identified those still uninsured at points in time Mapped at census block level to highlight areas for outreach Linked school free & reduced lunch files to Medicaid eligibility to identify school districts for priority outreach

9 Helpful Qualities in Building an Integrated Data System Neutral Organization Non-service Provider Trusted Organization Preserve Existing Power Structure Respect Partner Roles Appropriate Control of Data


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