Using Healthcare Data to Inform Public Policy

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Presentation transcript:

Using Healthcare Data to Inform Public Policy Lee Kallenbach, MPH, PhD Dallas-Fort Worth Hospital Council APHA Annual Meeting, November 2007

Structure of Talk Describe Setting Community Health and Hospitals Healthcare/Community Quality Measures Describe Two Tools and Their Use Member access (Hospitals) Public access

Objectives Recognize the value of comparative health care reporting at both the hospital and community level. List five healthcare quality measures useful to hospitals. List five healthcare quality measures useful to communities. Describe two tools useful for sharing and reporting healthcare data 1) Member access, data analysis & reporting 2) Public access, community health assessment

Regional Setting North Texas Region Dallas-Fort Worth and surrounding areas Approximately 6 million population 4’th largest metropolitan area in the U.S. Population growing (>2%/yr since 2000) Minority (Latino) population growing fastest Over 25% of population lacks health insurance (25.1, Health United States 2006)

Regional Data Collaborative Dallas-Fort Worth Hospital Council Over 75 participating hospitals. 95 percent of the hospitals in the region Data Collection 6.5 million hospital discharges from 1999-2007 Over 2 million ambulatory encounters from 2006. Of which over 1.5 million are Emergency Dept. visits Data Exchange Analytical tools provide member facilities with comparative data and reporting on patient safety, quality, and utilization.

Community Health and Advocacy Community health is a measure of a hospital’s success Periodic and timely reviews of a community’s health assist the advocacy functions of: Program development Support of public health policies and legislation Enhancing public awareness

Community Health and the DFWHC Community health improvement begins with measuring health in the context of demographic and resource characteristics Hospital Measures Health Information Exchange (since 1999) Community Measures “Our Community Health Checkup” (Partnership with Parkland Health & Hospital System, since 2002)

Healthcare quality measures useful to hospitals Proportion of Uninsured Hospital Preventable Hospitalization Rate Ambulatory Care Sensitive Conditions (diabetes, asthma) Re-admission Rate Emergency Proportion ED Visits that are Non-emergent Repeat Emergency Dept. (ED) Users/Rate

Healthcare quality measures useful to communities Proportion of Uninsured Hospital Preventable Hospitalization Rate Ambulatory Care Sensitive Conditions (diabetes, asthma) Re-admission Rate Emergency Proportion ED Visits that are Non-emergent Repeat Emergency Dept. (ED) Users/Rate

Data Tool for Hospitals Overall Uninsured (Self Pay) is 26.0% This corresponds to an estimated 25-26% from survey (BRFS). At a Public Hospital (Parkland) the Self Pay are 36.2%

Data Tool for Hospitals Overall, 23.5% of ER Visits are for non-emergent conditions. This percent is 29.2% at a Public Hospital (Parkland) For Uninsured: Overall: 24.9% Parkland: 31.4% 32 Other Hospitals

Data Tool for Community (http://www.dfwhc.org/About+DFWHC/NeedsAssessment.asp)

Availability of Health Professionals Northern Corr. Population: 260,020 Phys Need: 147 Phys Supply: 295 Difference: +148 Southeast Population: 256,028 Phys Need: 145 Phys Supply: 57 Difference: - 88 Per capita Income: Southeast Northern Corr. $15,918 $43,741

Putting it all Together Potential Policy Implications: Insurance Availability Incentives/Disincentives (co-pays) Physician Supply Training Location Health Care System Urgent Care / ED

Audience Hospital Public (Community) Managers Strategic Planners Program staff Case managers Public (Community) Public Health Community Foundations Others