Development and Evaluation of a Process to Link Cancer Patients in the SEER Registries to National Medicaid Enrollment Data

Author:

Warren Joan L1,Benner Suzie2,Stevens Jennifer3,Enewold Lindsey1ORCID,Huang Bin4,Zhao Lirong5,Tilahun Negussie1,Bradley Cathy J6

Affiliation:

1. Healthcare Assessment Research Branch, Healthcare Delivery Research Program, Division of Cancer Control and Population Science, National Cancer Institute, Bethesda, MD

2. Fu Associates, Ltd, Arlington, VA

3. Information Management Services, Calverton, MD

4. Department of Biostatistics, College of Public Health, Markey Cancer Center, University of Kentucky, Lexington, KY

5. Division of Data, Research, and Analytic Methods, Center for Medicare & Medicaid Innovation, Centers for Medicare and Medicaid Services, Baltimore, MD

6. Department of Health Systems, Management and Policy, School of Public Health, University of Colorado, Aurora, CO

Abstract

Abstract Cancer patients receiving Medicaid have worse prognosis. Patients in 14 Surveillance, Epidemiology, and End Results (SEER) cancer registries were linked to national Medicaid enrollment files, 2006–2013, to determine enrollment status during the year before and after diagnosis. A deterministic algorithm based on Social Security number, Medicare Health Insurance Claim number, sex, and date of birth was utilized. Results were compared with an independent linkage of Kentucky-based SEER and Medicaid data. A total 559 484 cancer cases were linked to national Medicaid enrollment files, representing 15–17% of persons with cancer yearly. About 60% of these cases were a complete match on all variables. There was 99% agreement on enrollment status compared with the Kentucky linked data. SEER data were successfully linked to national Medicaid enrollment data. NCI will make the linked data available to researchers, allowing for more detailed assessments of the impact Medicaid enrollment has on cancer diagnosis and outcomes.

Funder

NIH

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology,General Medicine

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