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MEPS Home Medical Expenditure Panel Survey
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  Publication Details

Title:
   The Utility of the Integrated Design of the Medical Expenditure Panel Survey to Inform Mortality Related Studies
Product type:
   Working Paper 11004
MEPS component:
   Household Component
Publication date:
   August 30, 2011
Description:
   The analytic capacity of surveys can be dramatically enhanced through the linkage to existing secondary data sources at higher levels of aggregation as well as through direct matches to additional health and socio-economic measures acquired for the same set of sample units from other sources of survey specific or administrative data. In this paper,the capacity of one specific integrated survey design to enhance longitudinal analyses focused on mortality studies is discussed. Examples are drawn from the Medical Expenditure Panel Survey (MEPS), an ongoing longitudinal panel survey designed to produce estimates of health care utilization, expenditures, sources of payment, and insurance coverage of the U.S. civilian non-institutionalized population. The first set of analyses are conducted to examine the differentials in pre-dispositional factors that distinguish a cohort of decedents from their surviving counterparts. Particular attention is given to the capacity to distinguish the health characteristics and the health care experiences of a cohort of decedents for a time period prior to their deaths. This is followed by a more extensive model-based study to assess the relationship between antecedent health and health care related factors and mortality. The relationship between medical expenditure levels over time and mortality is also examined to illustrate the enhanced set of longitudinal analyses that are possible through this framework. The longitudinal analyses that are highlighted are based on linkages of the MEPS to the National Health Interview Survey and the National Death Index.
Author(s):
   Steven B. Cohen
Agency:
   Rockville (MD): Agency for Healthcare Research and Quality
Source:
   Web Only
PDF link:
   data_files/publications/workingpapers/wp_11004.pdf (269 KB)
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