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Comparing the Centers for Medicare and Medicaid Services (CMS) enrollment data death dates to the National Death Index (NDI).
Pennap, Dinci; Swain, Richard S; Akhtar, Sandia; Liao, Jiemin; Wei, Yuqin; Li, Jiaqi; Wernecke, Michael; MaCurdy, Thomas E; Kelman, Jeffrey A; Mosholder, Andrew D; Graham, David J.
Afiliação
  • Pennap D; Formerly Division of Epidemiology, U.S. Food and Drug Administration, Center for Drug Evaluation and Research, Silver Spring, Maryland, USA.
  • Swain RS; Formerly Division of Epidemiology, U.S. Food and Drug Administration, Center for Drug Evaluation and Research, Silver Spring, Maryland, USA.
  • Akhtar S; Acumen LLC, Burlingame, California, USA.
  • Liao J; Acumen LLC, Burlingame, California, USA.
  • Wei Y; Acumen LLC, Burlingame, California, USA.
  • Li J; Acumen LLC, Burlingame, California, USA.
  • Wernecke M; Acumen LLC, Burlingame, California, USA.
  • MaCurdy TE; Acumen LLC, Burlingame, California, USA.
  • Kelman JA; Department of Economics, Stanford University, Stanford, California, USA.
  • Mosholder AD; Centers for Medicare and Medicaid Services, Washington, District of Columbia, USA.
  • Graham DJ; U.S. Food and Drug Administration, Center for Drug Evaluation and Research, Silver Spring, Maryland, USA.
Pharmacoepidemiol Drug Saf ; 33(3): e5772, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38449020
ABSTRACT

PURPOSE:

In the United States, the National Death Index (NDI) is the most complete source of death information, while epidemiologic studies with mortality outcomes often rely on U.S. Medicare data for outcome ascertainment. The purpose of this study was to assess the agreement of death information between the Centers for Medicare & Medicaid Services (CMS) Medicare enrolment data and NDI.

METHODS:

Using Medicare and NDI data from 1999 through 2016, we identified Medicare beneficiaries who were reported dead in the CMS Medicare enrolment database (EDB) and Common Medicare Environment (CME), linked these beneficiaries to the NDI using CMS Health Insurance Claim number, and compared death dates between the two data sources. To assess agreement between our data sources, we calculated kappa scores; where a kappa of 1 indicates perfect agreement and a kappa of 0 indicates agreement equivalent to chance. We also examined CMS to NDI linkage and death date matching for stability over time.

RESULTS:

Of the 36 785 640, Medicare beneficiaries reported dead in CMS enrollment data from 1999 to 2016, 97.5% were linked to the NDI. A kappa score of 0.98 showed a near perfect agreement between NDI and CMS reported deaths. The percentage of linked cases exactly matching on death dates increased from 94.8% in 1999 to 99.4% in 2016.

CONCLUSIONS:

Our findings suggest strong concordance between death dates as recorded by CMS enrollment data and the NDI in the entire Medicare population.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Medicare Limite: Aged / Humans País/Região como assunto: America do norte Idioma: En Revista: Pharmacoepidemiol Drug Saf / Pharmacoepidemiol. durg saf / Pharmacoepidemiology and drug safety Assunto da revista: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Medicare Limite: Aged / Humans País/Região como assunto: America do norte Idioma: En Revista: Pharmacoepidemiol Drug Saf / Pharmacoepidemiol. durg saf / Pharmacoepidemiology and drug safety Assunto da revista: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos