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Jerrod Anderson

AHRQ



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Emily Mitchell

Agency for Healthcare Research and Quality



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Adam Biener

Agency for Healthcare Research and Quality



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668 – Estimation with Statistical Models

Evaluation of Health Care Event Reporting in a National Household Survey

Sponsor: Survey Research Methods Section
Keywords: Data quality, survey accuracy, health data, medical events, MEPS, machine learning

Jerrod Anderson

AHRQ

Emily Mitchell

Agency for Healthcare Research and Quality

Adam Biener

Agency for Healthcare Research and Quality

The Medical Expenditure Panel Survey (MEPS) is a nationally representative health survey conducted annually by the Agency for Healthcare Research and Quality (AHRQ). Respondents to the Household Component (HC) of MEPS provide detailed information on health care events in addition to socioeconomic data. For a subset of respondents, medical providers that are associated with health events reported by the household are contacted to obtain more precise information on event details and expenditures. While the primary motivation for conducting this follow-back survey, called the Medical Provider Component (MPC), is to collect data for improving the quality and completeness of expenditure data for household-reported events, we leverage MPC information to determine the extent to which HC respondents may be mis-reporting the number of medical events for sample persons. We treat MPC data as a validation data set for household responses and use machine learning methods to identify characteristics of reporting accuracy and to predict reporting accuracy.

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