Evaluation of California Non-Comprehensive Death File Against National Death Index.

Data collection Death ascertainment Death files Epidemiologic method Vital statistics

Journal

Dialogues in health
ISSN: 2772-6533
Titre abrégé: Dialogues Health
Pays: United States
ID NLM: 9918506184906676

Informations de publication

Date de publication:
Dec 2022
Historique:
medline: 4 4 2023
entrez: 3 4 2023
pubmed: 4 4 2023
Statut: ppublish

Résumé

The National Death Index (NDI) by the Centers for Disease Control and Prevention and Death Master File (DMF) by Social Security Administration are the two most broadly utilized data files for mortality outcomes in clinical research. NDI's high costs and the elimination of protected death records from California in DMF calls for alternative death files. The recently emerged California Non-Comprehensive Death File (CNDF) serves as an alternative source for vital statistics. This study aims to evaluate the sensitivity and specificity of CNDF compared to NDI. Of 40,724 consented subjects in the Cedars-Sinai Cardiac Imaging Research Registry, 25,836 eligible subjects were queried through the NDI and the CDNF. After exclusion of death records to establish the same temporal and geographic availability of data, NDI identified 5,707 exact matches, while CNDF identified 6,051 death records. CNDF had a sensitivity of 94.3% and specificity of 96.4% compared to NDI exact matches. NDI also produced 581 close matches: all were verified as deaths by CNDF through matching death date and patient identifiers. Combining all NDI death records, CNDF had a sensitivity of 94.8% and specificity of 99.5%. CNDF is a reliable source for obtaining mortality outcomes and providing additional mortality validation. The use of CNDF can aid and replace the use of NDI in the state of California.

Identifiants

pubmed: 37007866
doi: 10.1016/j.dialog.2022.100015
pmc: PMC10065452
mid: NIHMS1861416
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001881
Pays : United States

Déclaration de conflit d'intérêts

Conflict of Interest The authors report no conflicts of interest.

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Auteurs

Xi Chen (X)

Cedars-Sinai Medical Center, Department of Imaging and Medicine, Los Angeles, California, United States.

Rebekah Park (R)

Cedars-Sinai Medical Center, Department of Imaging and Medicine, Los Angeles, California, United States.

Cecilia Hurtado (C)

Cedars-Sinai Medical Center, Department of Imaging and Medicine, Los Angeles, California, United States.

Heidi Gransar (H)

Cedars-Sinai Medical Center, Department of Imaging and Medicine, Los Angeles, California, United States.

Brian Tep (B)

Cedars-Sinai Medical Center, Research Informatics and Scientific Computing Core, Los Angeles, California, United States.

Romalisa Miranda-Peats (R)

Cedars-Sinai Medical Center, Department of Imaging and Medicine, Los Angeles, California, United States.

Spencer L Soohoo (SL)

Cedars-Sinai Medical Center, Research Informatics and Scientific Computing Core, Los Angeles, California, United States.

Alan Rozanski (A)

Mount Sinai St. Luke's Hospital Cardiology, Division of Cardiology, New York, New York, United States.

Daniel S Berman (DS)

Cedars-Sinai Medical Center, Department of Imaging and Medicine, Los Angeles, California, United States.

Classifications MeSH