Validating reported cause of death using integrated electronic health records from a nation-wide database.


Journal

Journal of public health (Oxford, England)
ISSN: 1741-3850
Titre abrégé: J Public Health (Oxf)
Pays: England
ID NLM: 101188638

Informations de publication

Date de publication:
07 06 2021
Historique:
received: 01 05 2019
revised: 19 09 2019
accepted: 29 09 2019
pubmed: 28 11 2019
medline: 7 8 2021
entrez: 28 11 2019
Statut: ppublish

Résumé

To compare the underlying cause of death reported by the Israeli Central Bureau of Statistics (CBS) with diagnoses in the electronic health records (EHR) of a fully integrated payer/provider healthcare system. Underlying cause of death was obtained from the CBS for deaths occurring during 2009-2012 of all Clalit Health Service members in Israel. The final cohort consisted of members who had complete medical records. The frequency of a supportive diagnosis in the EHR was reported for 10 leading causes of death (malignancies, heart disease, cerebrovascular disease, diabetes, kidney disease, septicemia, accidents, chronic lower respiratory disease, dementia and pneumonia and influenza). Of the 45 680 members included in the study, the majority of deaths had at least one diagnosis in the EHR that could support the cause of death. The lowest frequency of supportive diagnosis was for septicemia (52.2%) and the highest was for malignancies (94.3%). Sensitivity analysis did not suggest an alternative explanation for the missing documentation. The underlying cause of death coded by the CBS is often supported by diagnoses in Clalit's EHR. Exceptions are septicemia or accidents that cannot be anticipated from a patient's EHR, and dementia which may be under-reported.

Sections du résumé

BACKGROUND
To compare the underlying cause of death reported by the Israeli Central Bureau of Statistics (CBS) with diagnoses in the electronic health records (EHR) of a fully integrated payer/provider healthcare system.
METHODS
Underlying cause of death was obtained from the CBS for deaths occurring during 2009-2012 of all Clalit Health Service members in Israel. The final cohort consisted of members who had complete medical records. The frequency of a supportive diagnosis in the EHR was reported for 10 leading causes of death (malignancies, heart disease, cerebrovascular disease, diabetes, kidney disease, septicemia, accidents, chronic lower respiratory disease, dementia and pneumonia and influenza).
RESULTS
Of the 45 680 members included in the study, the majority of deaths had at least one diagnosis in the EHR that could support the cause of death. The lowest frequency of supportive diagnosis was for septicemia (52.2%) and the highest was for malignancies (94.3%). Sensitivity analysis did not suggest an alternative explanation for the missing documentation.
CONCLUSIONS
The underlying cause of death coded by the CBS is often supported by diagnoses in Clalit's EHR. Exceptions are septicemia or accidents that cannot be anticipated from a patient's EHR, and dementia which may be under-reported.

Identifiants

pubmed: 31774532
pii: 5644328
doi: 10.1093/pubmed/fdz146
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

341-347

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Maya Leventer-Roberts (M)

Clalit Research Institute, Clalit Health Services, 6209804 Tel Aviv, Israel.
Department of Pediatrics and Preventive Medicine, Icahn School of Medicine at Mount Sinai, 10029 New York, New York.

Ziona Haklai (Z)

Health Information Division, Ministry of Health, 9446724 Jerusalem, Israel.

Yael Applbaum (Y)

Health Information Division, Ministry of Health, 9446724 Jerusalem, Israel.

Nehama Goldberger (N)

Health Information Division, Ministry of Health, 9446724 Jerusalem, Israel.

Dror Cohen (D)

Clalit Research Institute, Clalit Health Services, 6209804 Tel Aviv, Israel.

Ohad Levinkron (O)

Clalit Research Institute, Clalit Health Services, 6209804 Tel Aviv, Israel.

Becca Feldman (B)

Clalit Research Institute, Clalit Health Services, 6209804 Tel Aviv, Israel.

Ran Balicer (R)

Clalit Research Institute, Clalit Health Services, 6209804 Tel Aviv, Israel.
Cheif Physician's Office, Clalit Health Services, 6209804 Tel Aviv, Israel.
Public Health Department, Ben-Gurion University of the Negev.

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