TY - JOUR
T1 - Validating reported cause of death using integrated electronic health records from a nation-wide database
AU - Leventer-Roberts, Maya
AU - Haklai, Ziona
AU - Applbaum, Yael
AU - Goldberger, Nehama
AU - Cohen, Dror
AU - Levinkron, Ohad
AU - Feldman, Becca
AU - Balicer, Ran
N1 - Publisher Copyright:
© 2021 Oxford University Press. All rights reserved.
PY - 2021/6/1
Y1 - 2021/6/1
N2 - 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.
AB - 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.
KW - epidemiology
KW - health services
KW - mortality
UR - http://www.scopus.com/inward/record.url?scp=85108029784&partnerID=8YFLogxK
U2 - 10.1093/pubmed/fdz146
DO - 10.1093/pubmed/fdz146
M3 - Article
C2 - 31774532
AN - SCOPUS:85108029784
SN - 1741-3842
VL - 43
SP - 341
EP - 347
JO - Journal of Public Health
JF - Journal of Public Health
IS - 2
ER -