Descriptive study of causes of death and COVID-19-associated morbidities from the New York City electronic death record: first wave of the pandemic March-July 2020.

OBJECTIVE: Assessing excess deaths from benchmarks across causes of death during the first wave of the COVID-19 pandemic and identifying morbidities most frequently mentioned alongside COVID-19 deaths in the death record. METHODS: Descriptive study of death records between 11 March 2020 and 27 July 2020, from the New York City Bureau of Vital Statistics. Mortality counts and percentages were compared with the average for the same calendar period of the previous 2 years. Distributions of morbidities from among forty categories of conditions were generated citywide and by sex, race/ethnicity and four age groups. Causes of death were assumed to follow Poisson processes for Z-score construction. RESULTS: Within the study period, 46 563 all-cause deaths were reported; 132.9% higher than the average for the same period of the previous 2 years (19 989). Of those 46 563 records, 19 789 (42.5%) report COVID-19 as underlying cause of death. COVID-19 was the most prevalent cause across all demographics, with respiratory conditions (prominently pneumonia), hypertension and diabetes frequently mentioned morbidities. Black non-Hispanics had greater proportions of mentions of pneumonia, hypertension, and diabetes. Hispanics had the largest proportion of COVID-19 deaths (52.9%). Non-COVID-19 excess deaths relative to the previous 2-year averages were widely reported. CONCLUSION: Mortality directly due to COVID-19 was accompanied by significant increases across most other causes from their reference averages, potentially suggesting a sizable COVID-19 death undercount. Indirect effects due to COVID-19 may partially account for some increases, but findings are hardly dispositive. Unavailability of vaccines for the time period precludes any impact over excess deaths. Respiratory and cardiometabolic-related conditions were most frequently reported among COVID-19 deaths across demographic characteristics.

Multicausal analysis of mortality due to diabetes mellitus in Spain, 2016-2018.

OBJECTIVES: This study aimed to assess multicausal mortality due to diabetes from 2016-2018 in Spain. Specific objectives were to quantify the occurrence of diabetes as an underlying cause or as any registered cause on the death certificate. MATERIALS AND METHODS: A cross-sectional descriptive study taking a multicausal approach. RESULTS: Diabetes appears as an underlying cause of 2.3% of total deaths in Spain, and as any cause in 6.2%. In patients in whom Diabetes appears as an underlying cause on the death certificates, the 15 most frequent immediate causes are cardiovascular diseases in men(prevalence ratio 1,59)and women (PR1,31). In men, the causes associated with diabetes as any cause were skin diseases(prevalence ratio 1.33), followed by endocrine diseases(prevalence ratio 1.26)and genitourinary diseases (prevalence ratio1.14). In women, the causes associated with the presence of diabetes as any cause were endocrine (prevalence ratio 1.13)and genitourinary (prevalence ratio 1.04)diseases. CONCLUSIONS: In patients in whom diabetes appears as an underlying cause on the death certificates, the 15 most frequent immediate causes are cardiovascular diseases. In men, the causes associated with the presence of diabetes as any cause of death are skin, endocrine and genitourinary diseases. In women, the causes associated with diabetes as any cause are endocrine and genitourinary.

Do Death Certificate Errors Decrease as Clinical Experience in an Emergency Department Increases?

BACKGROUND: This study aimed to evaluate the relationship between clinical experience and death certificate (DC) errors by analyzing DCs written by experienced emergency physicians (EPs). METHODS: DCs issued by four experienced EPs over a 10-year period were retrospectively reviewed. DC errors were divided into major and minor errors based on whether they affected the cause of death (COD) determination. The errors were judged through first and second evaluations. Basic information regarding DCs and 10-year changes in DC errors were analyzed. RESULTS: A total of 505 DCs were analyzed, with an average of 34 to 70 for each study year. The number of CODs written in the DCs tended to decrease over time. The presentation of major DC errors did not show a tendency to change over time. However, the sum of the major and minor errors tended to increase over time. Secondary conditions as the underlying COD tended to increase, and the incompatible causal relationships between CODs tended to decrease over time in the detailed analysis of major errors. The increasing tendency for incorrect other significant conditions, incorrect type of accident, incorrect intention of the external cause, no record of the trauma mechanism, and record of the trauma mechanism without another COD were found in the detailed analysis of minor errors. CONCLUSION: DC errors did not decrease as clinical experience increased. Education to reduce DC errors and a feedback process for written DCs are necessary, regardless of clinical experience.

Directiva Administrativa que establece el procedimiento para la certificación de las defunciones y el registro en el Sistema de Información de Defunciones (SINADEF). Directiva Administrativa N° 353-MINSA/OGTI-2024 / Administrative Directive that establishes the procedure for the certification of deaths and registration in the Death Information System (SINADEF). Administrative Directive No. 353-MINSA/OGTI-2024

El documento contiene el procedimiento para la certificación de las defunciones que ocurran a nivel nacional y el correspondiente registro en el Sistema de Información de Defunciones (SINADEF)

Substance Use Overdose Deaths Among Black and Indigenous Women in Wisconsin: A Review of Death Certificate Data From 2018 to 2020.

OBJECTIVES: We are in the midst of an overdose epidemic that has grown during the concurrent COVID-19 pandemic. In Wisconsin, overdose deaths increased 11-fold from 2000 to 2020, with over 1200 deaths in 2020. Because of disparities in substance use initiation, relapse, and treatment success among racially minoritized women, this study's purpose was to investigate overdose death rates among Black and Indigenous women in Wisconsin from 2018 to 2020. METHODS: Overdose death rates were examined under the following parameters: sex, race (Black, Indigenous, White), age, year, and manner of death. Logistic regression analysis was also conducted looking at death count data, with race, age, and year as potential predictor variables. RESULTS: Death rates (per 100,000) in 2018 were 14.1 (12.6-15.5) for White women, 20.8 (14.7-26.9) for Black women, and 26.5 (10.0-42.9) for Indigenous women; these rates increased in 2020 to 16.4 (14.8-17.9), 32.5 (25.0-40.0), and 59.9 (35.8-84.0) for White, Black, and Indigenous women, respectively. Regression findings illustrated that being Black or Indigenous and aged 15 to 44 or 45 to 64 years were significantly more likely to die from most causes of death (any drug, any opioid, prescription opioid, heroin, synthetic opioids, and cocaine; adjusted odds ratios > 1.25, P s < 0.001). CONCLUSIONS: This study confirms that deaths in Wisconsin are disproportionately higher in female minoritized populations. Understanding the complex intricacies between the impacts of the COVID-19 pandemic coupled with barriers to treatment access or acceptability in these populations is urgently needed. It will take a multipronged approach to address the overdose epidemic and better serve these marginalized, vulnerable populations.

The National Association of Medical Examiners Position Paper on the Investigation and Certification of Pediatric Deaths From Environmental Neglect.

ABSTRACT: Pediatric deaths that occur because of environmental neglect often involve 4 common scenarios: (1) hyperthermia due to environmental exposure, (2) ingestion of an accessible drug or poison, (3) unwitnessed/unsupervised drownings, and (4) unsafe sleep practices. Given the same fact pattern, the manner of death will vary from accident to homicide to undetermined based on local custom and/or the certifier's training and experience. Medical examiner/coroner death certifications are administrative public health determinations made for vital statistical purposes. Because the manner of death is an opinion, it is understandable that manner determinations may vary among practitioners. No prosecutor, judge, or jury is bound by the opinions expressed on the death certificate. This position paper does not dictate how these deaths should be certified. Rather, it describes the challenges of the investigations and manner determinations in these deaths. It provides specific criteria that may improve consistency of certification. Because pediatric deaths often are of public interest, this paper provides the medical examiner/coroner with a professional overview of such manner determination issues to assist various stakeholders in understanding these challenges and variations.

Need for Improved Timeliness of Reporting on Drug Overdose Fatalities: The HEALing Communities Study.

OBJECTIVE: Timely data on drug overdose deaths can help identify community needs, evaluate the effectiveness of interventions, and allocate resources. We identified variations in death investigation and reporting systems within and between states that affect the timeliness and accuracy of death certificate information. METHODS: The HEALing Communities Study (HCS) is a community-engaged, data-driven approach to combating the opioid crisis in 67 communities in 4 states: Kentucky, Massachusetts, New York, and Ohio. HCS conducted a survey of coroners and medical examiners to understand variability in drug overdose death data. We compared survey results in Massachusetts, New York, and Ohio with national data to investigate the completeness of provisional death counts by type of death investigation system. RESULTS: Communities in each HCS state had different ways of collecting and reporting mortality data. Completion of death certificates for drug overdoses ranged from <2 weeks in 23% (7 of 31) of those surveyed to more than 3 months in 10% (3 of 31) of those surveyed. Variabilities in the timeliness of reporting drug overdose deaths were not associated with type of coroner or medical examiner office in each state, urban versus rural setting, or specificity of drug information on the death certificate. CONCLUSION: Having specific drug information on the death certificate may increase death certificate quality, comparability, and accuracy. We recommend the following: (1) all coroners and medical examiners should be trained on conducting death investigations, interpreting toxicology reports, and completing death certificates; (2) 1 office in each state should oversee all coroners and medical examiners to increase data consistency; and (3) communities should identify and address barriers to timely death certification.

At-home asthma mortality unchanged despite declining mortality in other settings: US death certificate data (2000-2019).

BACKGROUND: Asthma mortality rates in the United States have declined since 1999; however, asthma mortality by place of death has not been comprehensively evaluated. OBJECTIVE: To evaluate temporal trends in asthma mortality rates and place of death in the United States. METHODS: We conducted a population-based analysis using data from the Centers for Disease Control and Prevention Wide-ranging ONline Data for Epidemiologic Research platform to evaluate deaths with asthma as the underlying cause (2000-2019) among US residents of all ages. Absolute numbers of asthma-related deaths were described by place of death. Counts were applied to US Census Bureau population counts to calculate mortality rates per 100,000 persons. RESULTS: In the 20-year period evaluated, 67,695 asthma deaths were registered in the United States. An overall 32% decline in the asthma mortality rate was observed, from 1.43 to 0.98 per 100,000 persons from 2000 to 2019, respectively. Although asthma mortality rates declined in all medical facility locations, the at-home asthma mortality rate remained stable (0.32 and 0.34 per 100,000 persons in 2000 and 2019, respectively). Consequently, the proportion of at-home asthma deaths increased from 23% in 2000 to 2001 to 36% in 2018 to 2019. The distribution of place of death varied by age, sex, race, ethnicity, and geographic region. CONCLUSION: Despite an overall decline in asthma mortality in the United States, at-home asthma mortality has remained unchanged. In recent years, more than one-third of asthma deaths have occurred at home. These findings warrant further study and underscore the importance of increased efforts to identify and treat uncontrolled asthma across demographic groups.

Frequency and types of errors in clinician-composed death certificates for patients with or without autopsy in a hospital population.

BACKGROUND: Death certificate (DC) errors are common. At our institution, all deaths have a preliminary death certificate (PDC) written by a clinician and then revised by a pathologist prior to the clinician signing the final death certificate (FDC). In autopsy cases, the FDC is signed by the pathologist who performs the autopsy. METHODS: A total of 100 in-hospital deaths (50 with autopsy and 50 without) occurred in 2020 were arbitrarily selected from a tertiary care center. All PDCs and FDCs were compared to identify/classify errors as major (incorrect cause of death (COD) or significant contributing factors) or minor (abbreviations, inappropriate non-essential contributing factors, immediate/intermediate COD errors). Frequency of PDC errors was compared by autopsy status, duration of hospital stay and PDC author. RESULTS: Ninety percent of cases had at least one PDC error and 39% had a major error. Major errors were more common in autopsy cases (50% versus 28%, P = 0.035), although minor/overall errors were not. Error rates did not significantly differ for the other variables assessed. CONCLUSIONS: There is significance of having a pathologist review and revise DCs before they are signed. The increased frequency in major errors in cases with autopsy suggests that autopsy findings provided additional information to elucidate COD.

Effects of inappropriate cause-of-death certification on mortality from cardiovascular disease and diabetes mellitus in Tonga.

BACKGROUND: Cardiovascular disease (CVD) and diabetes mellitus are major health issues in Tonga and other Pacific countries, although mortality levels and trends are unclear. We assess the impacts of cause-of-death certification on coding of CVD and diabetes as underlying causes of death (UCoD). METHODS: Tongan records containing cause-of-death data (2001-2018), including medical certificates of cause-of-death (MCCD), had UCoD assigned according to International Classification of Diseases 10th revision (ICD-10) coding rules. Deaths without recorded cause were included to ascertain total mortality. Diabetes and hypertension causes were reallocated from Part 1 of the MCCD (direct cause) to Part 2 (contributory cause) if potentially fatal complications were not recorded, and an alternative UCoD was assigned. Proportional mortality by cause based on the alternative UCoD were applied to total deaths then mortality rates calculated by age and sex using census/intercensal population estimates. CVD and diabetes mortality rates for unaltered and alternative UCoD were compared using Poisson regression. RESULTS: Over 2001-18, in ages 35-59 years, alternative CVD mortality was higher than unaltered CVD mortality in men (p = 0.043) and women (p = 0.15); for 2010-18, alternative versus unaltered measures in men were 3.3/103 (95%CI: 3.0-3.7/103) versus 2.9/103 (95%CI: 2.6-3.2/103), and in women were 1.1/103 (95%CI: 0.9-1.3/103) versus 0.9/103 (95%CI: 0.8-1.1/103). Conversely, alternative diabetes mortality rates were significantly lower than the unaltered rates over 2001-18 in men (p < 0.0001) and women (p = 0.013); for 2010-18, these measures in men were 1.3/103 (95%CI: 1.1-1.5/103) versus 1.9/103 (95%CI: 1.6-2.2/103), and in women were 1.4/103 (95%CI: 1.2-1.7/103) versus 1.7/103 (95%CI: 1.5-2.0/103). Diabetes mortality rates increased significantly over 2001-18 in men (unaltered: p < 0.0001; alternative: p = 0.0007) and increased overall in women (unaltered: p = 0.0015; alternative: p = 0.014). CONCLUSIONS: Diabetes reporting in Part 1 of the MCCD, without potentially fatal diabetes complications, has led to over-estimation of diabetes, and under-estimation of CVD, as UCoD in Tonga. This indicates the importance of controlling various modifiable risks for atherosclerotic CVD (including stroke) including hypertension, tobacco use, and saturated fat intake, besides obesity and diabetes. Accurate certification of diabetes as a direct cause of death (Part 1) or contributory factor (Part 2) is needed to ensure that valid UCoD are assigned. Examination of multiple cause-of-death data can improve understanding of the underlying causes of premature mortality to better inform health planning.

Deaths: Leading Causes for 2020.

Objectives-This report presents final 2020 data on the 10 leading causes of death in the United States by age, race and Hispanic origin, and sex. Leading causes of infant, neonatal, and postneonatal death are also presented. This report supplements "Deaths: Final Data for 2020," the National Center for Health Statistics' annual report of final mortality statistics. Methods-Data in this report are based on information from all death certificates filed in the 50 states and the District of Columbia in 2020. Causes of death classified by the International Classification of Diseases, 10th Revision (ICD-10) are ranked according to the number of deaths. Cause-of-death statistics are based on the underlying cause of death. Race and Hispanicorigin data are based on the Office of Management and Budget's 1997 standards for reporting race and Hispanic origin. Results-In 2020, many of the 10 leading causes of death changed rank order due to the emergence of COVID-19 as a leading cause of death in the United States. The 10 leading causes of death in 2020 were, in rank order: Diseases of heart; Malignant neoplasms; COVID-19; Accidents (unintentional injuries); Cerebrovascular diseases; Chronic lower respiratory diseases; Alzheimer disease; Diabetes mellitus; Influenza and pneumonia; and Nephritis, nephrotic syndrome and nephrosis. They accounted for 74.1% of all deaths occurring in the United States. Differences in the rankings are evident by age, race and Hispanic origin, and sex. Leading causes of infant death for 2020 were, in rank order: Congenital malformations, deformations and chromosomal abnormalities; Disorders related to short gestation and low birth weight, not elsewhere classified; Sudden infant death syndrome; Accidents (unintentional injuries); Newborn affected by maternal complications of pregnancy; Newborn affected by complications of placenta, cord and membranes; Bacterial sepsis of newborn; Respiratory distress of newborn; Diseases of the circulatory system; and Neonatal hemorrhage.

Collider and reporting biases involved in the analyses of cause of death associations in death certificates: an illustration with cancer and suicide.

BACKGROUND: Mortality data obtained from death certificates have been studied to explore causal associations between diseases. However, these analyses are subject to collider and reporting biases (selection and information biases, respectively). We aimed to assess to what extent associations of causes of death estimated from individual mortality data can be extrapolated as associations of disease states in the general population. METHODS: We used a multistate model to generate populations of individuals and simulate their health states up to death from national health statistics and artificially replicate collider bias. Associations between health states can then be estimated from such simulated deaths by logistic regression and the magnitude of collider bias assessed. Reporting bias can be approximated by comparing the estimates obtained from the observed death certificates (subject to collider and reporting biases) with those obtained from the simulated deaths (subject to collider bias only). As an illustrative example, we estimated the association between cancer and suicide in French death certificates and found that cancer was negatively associated with suicide. Collider bias, due to conditioning inclusion in the study population on death, increasingly downwarded the associations with cancer site lethality. Reporting bias was much stronger than collider bias and depended on the cancer site, but not prognosis. RESULTS: The magnitude of the biases ranged from 1.7 to 9.3 for collider bias, and from 4.7 to 64 for reporting bias. CONCLUSIONS: These results argue for an assessment of the magnitude of both collider and reporting biases before performing analyses of cause of death associations exclusively from mortality data. If these biases cannot be corrected, results from these analyses should not be extrapolated to the general population.

Medical records as screening tools for child death review in Japan.

BACKGROUND: Although many child death review (CDR) systems have been developed in Japan, the optimal system is still being identified. The aim of this study is to identify the etiologies of child deaths and to propose a screening method for initiating the CDR process in Japan. METHODS: Clinical medical records (CMRs) in hospitals and autopsy records were surveyed for cases of deaths of children aged less than 15 years between 2014 and 2016 in Aichi Prefecture, Japan. The data were analyzed in three steps, and the findings were compared with the vital statistics. RESULTS: Of the 695 children whose death certificates were submitted to Aichi Prefecture, 590 could be traced to pediatric care hospitals. The distribution of causes of death was slightly different from the vital statistics, with 11.5% dying of extrinsic causes and 19.7% dying of unknown causes. Maltreatment was suspected in 64 cases, which was much higher than that in government statistics. Overall, 158 (26.8%) deaths were considered preventable. The number of unnatural deaths, which might be screened in, was calculated as 172 (29.2%) in the vital statistics, whereas the survey of CMRs revealed that 241 (40.8%) to 282 (47.8%) should be screened in. CONCLUSIONS: Surveying CMRs in hospitals may be a suitable method to detect and screen deaths to start the CDR process in Japan.

[Information on Death Certificates: Comparison Between Inpatient and Outpatient Sectors]. / Angaben auf Todesbescheinigungen ­ Vergleich des hospitalen und ambulanten Bereichs.

The death of a person and the circumstances of death are documented on the death certificate in Germany. The path of the corpse to burial as well as the quality of the cause of death statistics are significantly influenced by the information in the official death certificate. The quality of the information in the death certificates has been repeatedly criticized. The aim of the present study was to identify typical sources of error in death certificates and to obtain information on whether qualitative differences exist between death certificates completed in the outpatient and inpatient sectors. A retrospective evaluation was performed of 218 death certificates of deaths examined by the Institute of Legal Medicine as part of a second postmortem examination prior to cremation. Of these, 118 death certificates were issued in the hospital and 100 death certificates were issued on an outpatient basis by the family physician or a physician on duty in the outpatient sector. All but one of the death certificates issued on an outpatient basis were legible. The information on the underlying disease was plausible. More than one-third of the epicrises had no significant findings or were not completed at all. The entry on the immediate causes of death in the designated field on the death certificate (Ia in the causal chain) were inadequate in one third of the cases. The error rate in the entries was higher in outpatient than in inpatient deaths. In the future, therefore, it will be necessary to prepare for the special situation of a post-mortem examination by means of further and advanced training events and to convey the importance of the diagnoses determined in the process, in order to eliminate these avoidable sources of error.