scholarly journals Completeness of MCCD and Accuracy of Underlying Cause of Death

Author(s):  
Titin Wahyuni ◽  
Dyah Rachmadani
Author(s):  
Maya Leventer-Roberts ◽  
Ziona Haklai ◽  
Yael Applbaum ◽  
Nehama Goldberger ◽  
Dror Cohen ◽  
...  

Abstract 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.


2020 ◽  
Author(s):  
S Wolff ◽  
C Christiansen ◽  
S Johnsen ◽  
H Schroeder ◽  
A Darlington ◽  
...  

2005 ◽  
Vol 120 (3) ◽  
pp. 288-293 ◽  
Author(s):  
Donna L. Hoyert ◽  
Ann R. Lima

Objective. Data from death certificates are often used in research; however, little has been published on the processing of vague or incomplete information reported on certificates. The goal of this study was to examine the querying efforts in the United States used to clarify such records. Methods. The authors obtained data on the querying efforts of the 50 states, New York City, and the District of Columbia. Descriptive statistics are presented for two units of analysis: registration area and death record. Using data from a single registration area, Washington State, the authors compared the percent change in age-adjusted death rates for data from before and after querying to analyze the effect of querying on selected causes of death. Results. Fifty-one of the 52 registration areas queried either demographic or cause-of-death information. Almost 90% of queries were returned; the underlying cause of death changed in approximately 68% of these records. This data translates into about 3% of total U.S. death records, given that 4% of total U.S. death records were queried about cause of death. The impact of queries on age-adjusted death rates varied by cause of death. Generally, the effect is most obvious for cause-of-death categories that are specific and relatively homogenous. Conclusion. Querying continues to be widely practiced. In the case of cause-of-death queries, this method refines the assigned underlying cause of death for records reported with vague or incomplete information.


Author(s):  
Juliana Chaves Coelho ◽  
Renata Eloah de Lucena Ferretti-Rebustini ◽  
Claudia Kimie Suemoto ◽  
Renata Elaine Paraizo Leite ◽  
Wilson Jacob-Filho ◽  
...  

ABSTRACT Objective: To analyze hypertension and its relationship with the causes of death identified by the autopsy. Method: Cross-sectional study analyzed 356 participants belonging to the Brazilian Aging Brain Study Group, over 50 years of age, autopsied at the Sao Paulo Autopsy Service between 2004 to 2014. A clinical interview was conducted with the informant of the deceased. Hypertension was defined by reporting the disease and/or use of antihypertensive medication, by the informant of the deceased. Descriptive analyzes and bivariate and multivariable associations were performed. Results: The prevalence of hypertension was 66.2% and it was the second leading cause of death (25.6%) identified by autopsy, preceded by atherosclerosis (37.8%). The variables associated with hypertension were: female gender (OR=2.30 (1.34-3.90)); living with partner [OR=0.55 (0.32-0.92)]; Body Mass Index [OR=1.14 (1.08-1.22)] and history of diabetes [OR=2.39 (1.34-4.27)]. Conclusion: The prevalence of hypertension was high, and it was the second most common underlying cause of death. The gold standard for the definition of cause of death, the autopsy, shows important results, which confirmed the relevance of hypertension as a public health problem.


Author(s):  
Richard M. Selik ◽  
Robert N. Anderson ◽  
Matthew T. McKenna ◽  
Harry M. Rosenberg

2005 ◽  
Vol 25 (2) ◽  
pp. 75-84 ◽  
Author(s):  
Nicholas Chamandy ◽  
Christina Wolfson

2018 ◽  
Vol 24 (3) ◽  
pp. 478-484
Author(s):  
Poonam Ramesh Naik ◽  
Patrick K. Moonan ◽  
Abhay Subhashrao Nirgude ◽  
Hemant Deepak Shewade ◽  
Srinath Satyanarayana ◽  
...  

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