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


Journal

Journal of the National Cancer Institute. Monographs
ISSN: 1745-6614
Titre abrégé: J Natl Cancer Inst Monogr
Pays: United States
ID NLM: 9011255

Informations de publication

Date de publication:
01 05 2020
Historique:
received: 19 09 2019
revised: 19 11 2019
accepted: 10 12 2019
entrez: 16 5 2020
pubmed: 16 5 2020
medline: 4 5 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32412075
pii: 5837298
doi: 10.1093/jncimonographs/lgz035
pmc: PMC7868030
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

89-95

Subventions

Organisme : NCI NIH HHS
ID : P30 CA177558
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Published by Oxford University Press 2020. This work is written by US Government employees and is in the public domain in the US.

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Auteurs

Joan L Warren (JL)

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

Suzie Benner (S)

Fu Associates, Ltd, Arlington, VA.

Jennifer Stevens (J)

Information Management Services, Calverton, MD.

Lindsey Enewold (L)

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

Bin Huang (B)

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

Lirong Zhao (L)

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

Negussie Tilahun (N)

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

Cathy J Bradley (CJ)

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

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Classifications MeSH