JSM Activity #345

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Activity ID:  345
Title
* ! Predicting High-Cost Users of Medical Care
Date / Time / Room Sponsor Type
08/14/2002
2:00 PM - 3:50 PM
Room: H-Murray Hill Suite A 		Section on Health Policy Statistics*, Section on Risk Analysis*, Social Statistics Section* Topic Contributed
Organizer: Steven B. Cohen, Agency for Healthcare Research and Quality
Chair: Gerald S. Adler, Centers for Medicare & Medicaid Services
Discussant: 3:25 PM - Trena Ezzati-Rice, Agency for Healthcare Research and Quality    
Floor Discussion 3:45 PM
Description

The concentration of health care expenditures in a small percentage of the population has motivated efforts to ensure sufficient sample representation of this subgroup in health care expenditures studies. Prior studies have demonstrated that one percent of the population are associated with over twenty five percent of the annual medical expenditures. In this session, the impact of a highly skewed healthcare expenditure distribution on the overall precision of national health care expenditure estimates is examined and innovative strategies to identify future cases are presented.
  300180  By:  Steven B. Cohen 2:05 PM 08/14/2002
Accuracy of a Prediction Model to Oversample Individuals Likely To Incur High Expenditures in the Medical Expenditure Panel Survey

  300184  By:  Alan   Monheit 2:25 PM 08/14/2002
Persistence in Health Expenditures in the Short Run: Prevalence and Consequences

  300664  By:  Lap-Ming  Wun 2:45 PM 08/14/2002
Refining the Prediction Models of Low Income Status and Future Medical Expenditures In the Medical Expenditure Panel Survey

  300179  By:  Arlene  Ash 3:05 PM 08/14/2002
Finding Next Year's High-Cost Cases: What Information Matters Most?

JSM 2002

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Revised March 2002