# Presentation: 762518

## South Carolina’s Integrated Health and Human Services Data System

**Walter P. (Pete) Bailey**
**SC Budget and Control Board**
**Office of Research and Statistics**
- www.ors.state.sc.us

## 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**

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**Notes:**
State Agency Program Data Includes:
Social Services
Mental Health/Substance Abuse
Public Education Student Performance
Health Agencies
Motor Vehicle Collisions
Criminal Justice

## 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**

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## 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 **

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## Integrated Data vs. Administrative Data 	Number of Special Needs Children by Agencies and Data Source

| Total For SC | 340,033 |
| --- | --- |
|    Medicaid | 188,786 |
|    Inpatient Utilization    | 33,782 |
|    ER Utilization   | 47,035 |
|    Department of Mental Health | 28,369 |
|    Children’s Rehabilitative Services | 9,919 |
|    Babynet | 2,707 |
| Other |  |
| *Data not unduplicated across all Agencies and Data Sources, numbers will not add to total. |  |

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## 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.**

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**Notes:**
Other Examples of Use of Integrated Data System in SC
Children with Special Health Care Needs linked to public school performance
High school enrollment by school linked to Medicaid claims
School Nurse program data linked to Medicaid claims

## 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

|  | White | Non-White | Total |
| --- | --- | --- | --- |
| All Ages | 14% | 45% | 24% |
|   1 – 14 | 26% | 74% | 44% |
| 15 – 17 | 17% | 52% | 31% |
| 18 – 34 | 19% | 44% | 28% |
| 35 – 44 |  9% | 25% | 14% |
| 45 – 64 |  6% | 22% | 10% |
|         65 + | 10% | 46% | 18% |

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## Uses for the Safety Net Population

**Link this population to services to understand problems:**
**Health problems**
**Problems around birth**
**Abuse and neglect**
**SES**
**Monitor changes as programs are instituted to address problems**

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## 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**
**Monitored use over time of ER by uninsured as a success measure**

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## Uses in Studying Disparities in the Safety Net Population

**Carving out specific sub-population provides exact demographic and SES characteristics (age, race, sex, poverty indicators)**
**Linkage to health care, vital records, school performance, etc., permits analysis of disease rates, school performance scores, perinatal issues, etc.**
**Control for age, race, sex and poverty**

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## 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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