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Health and Demographics Using Integrated Data Systems for Comprehensive State Budgeting W. David Patterson, Ph.D. Salt Lake City, Utah September 4, 2014.

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Presentation on theme: "Health and Demographics Using Integrated Data Systems for Comprehensive State Budgeting W. David Patterson, Ph.D. Salt Lake City, Utah September 4, 2014."— Presentation transcript:

1 Health and Demographics Using Integrated Data Systems for Comprehensive State Budgeting W. David Patterson, Ph.D. Salt Lake City, Utah September 4, 2014


3 AISP Network of Integrated Data Systems A MacArthur-Funded Initiative ISP 22% of the U.S. Population

4 Integrating Data To Improve Services Employment And Earnings Disabilities Child Welfare Health Care Education Housing Public Safety Justice Mental Health 4

5 Improve the QUALITY of Education, Health, & Human Services CLOSING THE GAP: Multi-system Populations & Developmental Handoffs Identify & lessen risks to poor outcomes Connect Communities to support populations 5

6 Who are we? Mission: “It is the entire human experience that influences health and social well-being and should therefore be captured in an integrated data system.” Staff: 35 employees, 2/3 statisticians trained in either theoretical statistics or their substantive disciplines. The remaining staff are focused on supporting information/knowledge deployment skills such as software development and data base administration, or business operations. Budget: Roughly $6m annually, with less than 15% through general appropriations or assigned fees.

7 Evolution of the Data Warehouse Philosophy developed over time and experience eventually becoming a recognized example nationally. Characteristics of a successful data warehouse: o Data must be housed in a neutral setting o Data holder can not be a regulator, payer, or provider of services o Data holder can have no power base, can not upset balance of power o Provides equal access for all users o Promotes research and use o Data must be secured and individual privacy protected o Data release must be approved by data owner or by multi- stakeholder councils and committees

8 Proviso 117.13. (GP: SC Health & Human Services Data Warehouse) “There is hereby established within the Office of Research and Statistics, South Carolina Budget and Control Board, the South Carolina Health and Human Services Data Warehouse. The purpose of the Warehouse is to ensure that the operation of health and human services agencies may be enhanced by coordination and integration of client information. To integrate client information, client data from health and human services state agencies will be linked to improve client outcome measures, enabling state agencies to analyze coordination and continuity of care issues. The addition of these data will enhance existing agency systems by providing client data from other state agency programs to assist in the provision of client services. Certain client information shall be delivered to the Office of Research and Statistics in order to assist in the development and maintenance of this Warehouse…”

9 Disabilities & Special Needs Vocational Rehabilitation SLED Health Department Education Outpatient Surgeries State Employee Health Services Emergency Room Visits Free Clinic Visits* Community Health Centers * Medicaid Services Social Services Mental Health Juvenile Justice Home Health Care Alcohol & Drug Services Child Care Hospitalizations Disease Registries* Elder Services & Assessments Probation, Parole & Pardon Corrections Legal/Safety Services Social Services Claims Systems All Payer Health Care Databases Behavioral Health Health Department Education Other State Agencies Disease Registries Disease Registries LEGEND Health Professions Employment Training Programs Employment and Workforce * Limited data available First Steps Homeless MIS* Employment & Wage Unemployment Claims

10 Tracking System Series of algorithms to create a unique identifier for each individual Unique identifier stays with the individual over time Enables staff to “link across” multiple providers and settings Protects the confidentiality of the individual Requests to link across systems must be approved by all participating agencies and organizations Personal identifiers are never stored with the statistical data; the unique identifier is appended to the statistical record and is not derived from identifiable information.

11 Information Products Analytic ProductsApplication Partners Agency Collaboration Researcher Collaboration o Data linkage o De-identified datasets o GIS support o Analytic support Public Website o Descriptive statistics o Ability to query data sources and generate ad-hoc reports ABC Tablet Application Community Long Term Care Application Ages and Stages Questionnaire Dept. of Education Data Warehouse Purpose Built Screening and Referral Systems South Carolina Health Information Exchange

12 Example 1: Health Care Price Transparency



15 Example 2: Telepsychiatry Program Support and Evaluation

16 Roles of the Data Warehouse in the SC Telepsychiatry Initiative Program Operation Provision of Medicaid Data Provision of DMH data into SC Health Information Exchange (SCHIEx) Integration of DMH Electronic Medical Record system with SCHIEx Program Evaluation Linkage of program specific data into Integrated System Provision of additional linked elements from the data warehouse, most notably UB 92/04 Statistical and analytic support



19 Evaluation Strategy Propensity scoring with optimal matching used to match patients treated at intervention EDs to those treated at non-intervention EDs in South Carolina Compared two groups on utilization and cost outcomes using standard econometric techniques Narasimhan, Druss et al NIMH and NIH R01

20 Baseline Characteristics TelepsychiatryControl N=7,261 Age35.7 Female49.8% White73.1 % Black23.8% Weekend Admission38.6% Narasimhan, Druss et al NIMH and NIH R01

21 Service Use TelepsychiatryControlP N=7,261 Admission22%11%<0.001 LOS at index visit (in days)0.431.35 <0.001 30 day OP f/u46%16%<0.001 90 day OP f/u54%20% <0.001 Index 30 day IP cost$8,290$11,224 <0.001 Index 30 day hospital cost (IP+ED)*$12,634$14,0520.002 Narasimhan, Druss et al NIMH and NIH R01

22 What can we learn from these efforts? Integrated data systems can “close the loop” between practitioners, applied analysts, and basic researchers Integrated data systems can help create and sustain public, private, and not for profit partnerships around issues Integrated data systems reduce costs by repurposing existing data, producing “economies of scale”

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