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Long Term Care Data and Policy

Long Term Care Data and Policy. Peter Kemper Pennsylvania State University April 22, 2002 Board of Scientific Counselors National Center for Health Statistics. Preview of Conclusions. Data makes important contributions to policy Its contribution often is not recognized

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Long Term Care Data and Policy

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  1. Long Term Care Data and Policy Peter Kemper Pennsylvania State University April 22, 2002 Board of Scientific Counselors National Center for Health Statistics

  2. Preview of Conclusions • Data makes important contributions to policy • Its contribution often is not recognized • Funding LTC data faces special barriers • LTC data needs differ from acute care

  3. 1. Data Makes Important Contributions to Policy

  4. Understanding Problems • Creates awareness of LTC problems • Re-focuses attention on known problems • Provides trend data for monitoring programs • Examples • Future demand for LTC (Pepper Commission) • Nursing home quality problems (GAO) • Role of family care (AHRQ)

  5. Analysis of Behavior • Analysis of behavior • Predictors of outcomes of interest • E.g., predictors of nursing home use • Targeting home care • Certification of eligibility for nursing home care • Risk adjustment for capitation payments

  6. Predicting Policy Effects: Simulation Models • Developed to estimate effect of policy changes • Eligible population • Government costs • Who gains and who loses • Brookings/ICF/Lewin LTC simulation model • Consortium of foundations supported in mid-80’s • LTC budget estimates in Clinton health reform • Subsequent updating by ASPE

  7. 2. The Contribution of Data Often Is Not Recognized

  8. Route to Policy Is Indirect Other factors Constituencies Policy makers Information Intermediaries Conventional wisdom

  9. Data Investments Must Be Made Far in Advance of Policy Need Data Infrastructure Simulation model Cost estimates Analysis of Behavior

  10. 3. Funding LTC Data: Special Barriers • Absence of dramatic problems and solutions • Enormity of the LTC problem • Complexity of the LTC problem • Jurisdictional fragmentation • Locus of LTC policy in the states

  11. 4. LTC Data Needs Differ • Support not care—e.g., informal care • Data across settings—person-centered data • Care transitions—longitudinal data • Disability is relatively rare—over-samples • Financial resources, household important • Adaptability to changing world • Private LTC insurance • Assisted living • Consumer-directed care

  12. Recap • Data makes important contributions to policy • Its contribution often is not recognized • Funding LTC data faces special barriers • LTC data needs differ from acute care

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