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Activity Number:
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345
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 14, 2002 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Health Policy Statistics*
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| Abstract - #300180 |
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Title:
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Accuracy of a Prediction Model to Oversample Individuals Likely To Incur High Expenditures in the Medical Expenditure Panel Survey
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Author(s):
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Steven Cohen*+ and John Moeller+ and Lap-Ming Wun
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Affiliation(s):
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Agency for Healthcare Research and Quality and Agency for Healthcare Research and Quality and Agency for Health Care Policy and Research
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Address:
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2101 E. Jefferson St., Suite 500, Rockville, Maryland, 20852, USA 2101 E. Jefferson St., Suite 500, Rockville , Maryland, 20852, USA
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Keywords:
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Abstract:
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Efforts to improve the precision of health care estimates associated with individuals who incur high levels of medical expenditures were considered in the 1997 Medical Expenditure Panel Survey. The concentration of health care expenditures in a relatively small percentage of the population serves to motivate additional efforts to insure sufficient sample representation of this core analytical domain, to support subgroup analyses. Using data from the National Medical Expenditure Survey, a probabilistic model was developed to identify individuals likely to incur high levels of medical expenditures, based on their prior health care experience. This paper describes the specification of the model and evidence of its accuracy.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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