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Bradley Parsell

NORC at the University of Chicago



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Felicia LeClere

NORC at the University of Chicago



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Christopher Ward

NORC at the University of Chicago



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Samantha Rosner

NORC at the University of Chicago



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Rachel Carnahan

NORC at the University of Chicago



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Kari Carris

NORC at the University of Chicago



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Sai Loganathan

NORC at the University of Chicago



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Andrea Mayfield

NORC at the University of Chicago



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Tricia McCarthy

NORC at the University of Chicago



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Becky Reimer

NORC at the University of Chicago



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508 – Administrative Records and Record Linkage

Using Administrative Data Proactively to Aid in Data Collection for New Respondent Panels for the Medicare Current Beneficiary Survey

Sponsor: Government Statistics Section
Keywords: Administrative Data, Health Care, Longitudinal

Bradley Parsell

NORC at the University of Chicago

Felicia LeClere

NORC at the University of Chicago

Christopher Ward

NORC at the University of Chicago

Samantha Rosner

NORC at the University of Chicago

Rachel Carnahan

NORC at the University of Chicago

Kari Carris

NORC at the University of Chicago

Sai Loganathan

NORC at the University of Chicago

Andrea Mayfield

NORC at the University of Chicago

Tricia McCarthy

NORC at the University of Chicago

Becky Reimer

NORC at the University of Chicago

The Medicare Current Beneficiary Survey (MCBS) is a continuous, multipurpose survey of a nationally representative sample of the Medicare population, conducted by the Centers for Medicare & Medicaid Services (CMS) through a contract with NORC at the University of Chicago. A new panel of survey participants is recruited from current Medicare enrollees each fall. The task of locating, contacting, and interviewing new panel members is an important challenge for any survey. For the MCBS, these activities are particularly challenging because the elderly population is more likely to be found in health care institutions such as hospitals and short- and long-term care facilities. Also for those persons in poor health or facing mobility or cognitive challenges, participation in a four year survey may be an activity they are unwilling to undertake. In this analysis, we use administrative data from the Master Beneficiary Summary Files (MBSF) and Minimum Data Set (MDS), commercially available data for address and telephone matching, and MCBS case management data for panels entering in 2015 and 2016. We assess the value of the administrative and commercial data in predicting the location of respondents and the likelihood of completing an interview.

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