Rapid Identification of Suspected Drug Overdose Deaths by Death Investigators, New Jersey, 2020.

OBJECTIVE: While the number of overdoses in the United States continues to increase, lags in data availability have undermined efforts to monitor, respond to, and prevent drug overdose deaths. We examined the performance of a single-item mandatory radio button implemented into a statewide medical examiner database to identify suspected drug overdose deaths in near-real time. MATERIALS AND METHODS: The New Jersey Office of the Chief State Medical Examiner operates a statewide mandated case management data system to document deaths that fall under the jurisdiction of a medical examiner office. In 2018, the New Jersey Office of the Chief State Medical Examiner implemented a radio button into the case management data system that requires investigators to report whether a death is a suspected drug overdose death. We examined the performance of this tool by comparing confirmed drug overdose deaths in New Jersey during 2020 with suspected drug overdose deaths identified by investigators using the radio button. To measure performance, we calculated sensitivity, specificity, positive predictive value, negative predictive value, and false-positive and false-negative error rates. RESULTS: During 2020, New Jersey medical examiners investigated 26 527 deaths: 2952 were confirmed by the state medical examiner as a drug overdose death and 3050 were identified by investigators using the radio button as a suspected drug overdose death. Sensitivity was calculated as 96.1% (2837/2952), specificity as 99.1% (23 362/23 575), positive predictive value as 93.0% (2837/3050), negative predictive value as 99.5% (23 362/23 477), false-positive error rate as 7.0% (213/3050), and false-negative error rate as 3.9% (115/2952). PRACTICE IMPLICATIONS: Implementation of a radio button into death investigation databases provides a simple and accurate method for identifying and tracking drug overdose deaths in near-real time.

Surveillance for Unexplained Deaths of Possible Infectious Etiologies During the COVID-19 Pandemic-Minnesota, 2020-2021.

OBJECTIVES: Surveillance systems for unexplained deaths that might have an infectious etiology are rare. We examined the Minnesota Department of Health Unexplained Deaths and Critical Illnesses of Possible Infectious Etiology and Medical Examiner Infectious Deaths (UNEX/MED-X) surveillance system,-a system that expanded postmortem surveillance for infectious diseases during the COVID-19 pandemic by leveraging standard (medical examiner [ME]) and expanded (mortuary) surveillance to identify COVID-19-related deaths. METHODS: MEs, coroners, or morticians collected postmortem swabs from decedents with an infectious prodrome or with SARS-CoV-2 exposure before death but with no known recent infectious disease testing. The Minnesota Department of Health Public Health Laboratory used nucleic acid amplification, viral culture, and standard algorithms to test specimens collected postmortem for SARS-CoV-2, influenza virus, and other infectious pathogens. We reviewed UNEX/MED-X data from March 2, 2020, through December 31, 2021, and characterized decedents by location of swab collection (ie, ME or mortuary). RESULTS: From March 2, 2020, through December 31, 2021, the UNEX/MED-X surveillance system received samples from 182 decedents from mortuaries and 955 decedents from MEs. Mortuary decedents were older than ME decedents (median age, 78 vs 46 y). Seventy-three mortuary decedents (40.1%) and 197 ME decedents (20.6%) had SARS-CoV-2 detections. The UNEX/MED-X system identified 212 COVID-19-related deaths, representing 2.0% of total COVID-19-related deaths in Minnesota. Eighty-nine decedents (42.0%) were from racial and ethnic minority populations, representing 6.1% more COVID-19-related deaths among people from racial and ethnic minority populations than would have been detected without this surveillance system. PRACTICE IMPLICATIONS: Expanded and standard UNEX/MED-X surveillance builds capacity and flexibility for responding to emerging public health threats. Similar programs should be considered elsewhere as resources allow.

A qualitative exploration of forensic pathology service staff perceptions of the implementation barriers and facilitators of manual- and electronic injury mortality surveillance system methods in South Africa.

BACKGROUND: Injury mortality surveillance systems are critical to monitor changes in a population's injury outcomes so that relevant injury prevention responses may be adopted. This is particularly the case in South Africa, where the injury burden is nearly twice the global rate. Regular evaluations of surveillance systems are pivotal to strengthening surveillance capacity, performance, and cost effectiveness. The National Injury Mortality Surveillance System (NIMSS) is an injury mortality surveillance system that is currently focused in Mpumalanga and utilises manual and electronic web-based systems for data collection. This study explored Forensic Pathology Service (FPS) staff perceptions of the implementation barriers and facilitators of manual- and electronic injury mortality surveillance system methods. METHODS: A qualitative study was employed using purposive sampling. Forty-seven participants, aged 29 to 59 years comprising 31 males and 16 females were recruited across 21 FPS facilities that serve the province. The formative evaluation occurred over the November 2019 to November 2022 period. Twelve focus group discussions were thematically analysed to determine emerging themes and patterns related to the use of the system using the WHO surveillance system guidelines as a framework. RESULTS: The key themes concerning the barriers and facilitators were located along WHO attributes of simplicity, acceptability, timeliness, flexibility, data quality and stability. Distinctions between the manual and e-surveillance systems were drawn upon across the attributes highlighting their experience with the system, user preference, and its contextual relevance. With Mpumalanga predominantly rural, internet connectivity was a common issue, with most participants consequently showing a preference for the manual system, even though the electronic system's automated internal validation process was of benefit. The data quality however remained similar for both methods. With program stability and flexibility, the manual system proved more beneficial as the dataset was reported to be easily transferrable across computer devices. CONCLUSION: Obtaining FPS perceptions of their experiences with the system methodologies are pertinent for the enhancement of injury surveillance systems so to improve prospective engagements with the systems. This will facilitate timely and accurate injury mortality information which is vital to inform public policy, and injury control and prevention responses.

Determination of causes of adult deaths using minimally invasive tissue sampling in Gandaki province of Nepal: a multicenter hospital-based study.

BACKGROUND: Minimally Invasive Tissue Sampling (MITS) has been successfully used to establish the cause of death in low- and middle-income countries, mostly in stillbirths and neonates. The objective of this study was to determine the causes of death among adults using MITS in the Gandaki province of Nepal and to find out the contribution of MITS to identify the causes of death. METHODS: A multicentric hospital-based pilot study was conducted to enroll 100 cases of adult deaths. The specimens of cerebrospinal fluid, blood, brain, lungs, and liver tissue were collected utilizing MITS. These specimens underwent standard histopathological, serological, and microbiological analyses. The findings from MITS, and if available, clinical records and forensic autopsy findings were compiled and the cause of death panel identified the causes of death. The final cause of death allocated to each case was based on the WHO International Medical Certificate of Death. RESULTS: Among a total of 100 cases enrolled during the study period, infectious cause attributed to the immediate cause of death in 77 (77%), cardiovascular in 10 (10%), neurological in 8 (8%), malignancy in two (2%), and gastrointestinal and hepatobiliary cause in one (1%) case. The mean age of the cases was 50.8 ± 15.9 years and 76 (76%) were males. MITS established the cause of death in the causal chain of events in 81(81%) cases and identified the cause of death significantly more with infectious than non-infectious causes (p < 0.001). CONCLUSIONS: MITS was useful in establishing the cause of death in the majority of adult deaths and the most common cause was infectious disease. Our findings suggest that MITS can be a valuable and alternative tool for mortality surveillance in low-resource settings, where complete diagnostic autopsies are less accepted or less prioritized.

Assessment of Suspected COVID-19 Deaths in Nonhealthcare Settings in Côte d'Ivoire, March 11 to July 31, 2020.

According to hospital records, 5 months after reporting its first case of COVID-19, Côte d'Ivoire reported only 102 deaths. We conducted a community mortality survey in the 13 districts where 95% of COVID-19 cases were reported to assess COVID-19 mortality in nonhealthcare settings. To identify suspected COVID-19 deaths in communities, we used data from social and administrative institutions, such as police and fire departments, funeral homes, and places of worship, whose functions include providing services related to deaths. Our survey identified 54 (17.6%) suspected COVID-19 deaths, which is more than half of the official reported number. Our study showed that in areas with low access to healthcare and poorly functioning death notification and registration systems, community-based data sources could be used to identify suspected COVID-19 deaths outside of the health sector. They can provide early warning data on events, such as an unusual number of community deaths or diseases.

Place of death in France: impact of the first wave (March-May 2020) of the Covid-19 epidemic.

BACKGROUND: The Covid-19 epidemic entailed a major public health issue in France challenging the efficiency of the public health system. The distribution of deaths by place in France may have been affected by the epidemic and mitigation actions. This article presents mortality rate ratios by place of death in France during the first lockdown (17 March - 10 May, 2020) of the Covid-19 epidemic. METHODS: We considered five places of death recorded in death certificates. Deaths in 2020 were compared to deaths from 2015 to 2019. We employed quasi-Poisson regressions in order to stablish mortality rate ratios (MRR) during the Covid-19 epidemic, for all-cause and non-Covid-19 deaths. Analysis was conducted in Metropolitan France, and for three groups of regions defined according to the intensity of the first COVID-19 epidemic wave. RESULTS: A significant increase in all-cause and non-COVID-19 mortality at home was observed for all age groups. Also, an increase in mortality was observed in nursing homes, mostly due to Covid-19. Non-covid-19 mortality in public hospitals decreased significantly in all the country. These trends were mainly observed for cancers. CONCLUSIONS: Overall mortality increased during the first wave of the Covid-19 epidemic. Most Covid-19 deaths took place in public hospitals and nursing homes at old ages. There was a displacement of non-Covid-19 mortality from public hospitals to home and nursing homes, particularly in the most highly exposed area. Among hypotheses to explain such a displacement, population avoidance of hospital care, or redeployment of hospital activity in this emergent context can be cited. Further analysis is needed to understand the reasons of the increase in non-Covid-19 mortality in nursing homes and at home.

Spatial, temporal and demographic patterns in asthma mortality in China: A systematic analysis from 2014 to 2020.

Background: Asthma is an important contributor to the burden of non-communicable diseases in China. Understanding spatial, temporal, and demographic patterns in asthma mortality is relevant to the design and implementation of targeted interventions. Methods: This study collected information on asthma deaths occurring across 605 disease surveillance points (DSPs) as recorded in the population-based national mortality surveillance system (NMSS) of China. Asthma was defined according to the International Classification of Diseases, 10th Revision code J45-J46. Estimates of age-standardized mortality rates and total national asthma deaths were calculated based on yearly population data. Statistical analysis was performed to investigate the influence of various factors on asthma mortality. Results: Between 2014 and 2020, a total of 40 116 asthma deaths occurred in DSPs. Standardized asthma mortality per 100 000 people decreased from 1.79 (95% CI: 1.74-1.83) in 2014 to 1.07 (95% CI: 1.03-1.10) in 2020 in China. In 2020, the overall asthma mortality rate was higher for male patients than for female patients, and asthma mortality rates increased substantially with age. Age-standardized asthma mortality per 100,000 people exhibited significant geographic variation, ranging from 0.93 (95% CI: 0.89-0.98) in Eastern China to 1.04 (95% CI: 0.98-1.10) in Central China and 1.37 (95% CI: 1.29-1.45) in Western China in 2020. Asthma mortality in urban areas appeared to be higher than in rural areas. Socioeconomic factors, including gross domestic product per capita and density of hospital beds per 10,000 population, may be related to asthma mortality. Male asthma patients who lived in rural areas and were aged 65 years and above were generally at high risk of asthma-related mortality. Conclusions: This study found a spatial and temporal trend for a reduction in asthma deaths over seven years in China; however, there remain important sociodemographic groups that have not secured the same decrease in mortality rates. Trial registration: This was a purely observational study and thus registration was not required.

An audit of COVID-19 death reporting in counties Cork and Kerry, Ireland, winter 2021-2022.

BACKGROUND: In Ireland, a 'COVID-19 death' is defined as any death in which the decedent was COVID-19 positive and had no clear alternative cause of death unrelated to COVID-19, a definition based on World Health Organization guidance. AIMS: The objectives of this audit were to determine the proportion of COVID-19 deaths notified in the Cork/Kerry region of Ireland during winter 2021-2022 which adhered to this national definition, and to determine whether COVID-19 was deemed to be the primary cause of death, or a contributory or incidental factor. METHODS: A review of all deaths in individuals who were COVID-19 positive at the time of death notified to the Department of Public Health for Cork and Kerry between 22 November 2021 and 31 January 2022 was conducted to determine whether each death adhered to the national COVID-19 death definition. The clinical opinion on cause of death was obtained by contacting decedents' clinicians. RESULTS: Sixty deaths in individuals who were COVID-19 positive at the time of death were notified to the Department in the study period. Of deaths notified as being due to COVID-19, COVID-19 was deemed the primary cause of death, a contributory factor or an incidental factor in 72.7%, 21.8%, and 5.5% of cases, respectively. Most (93.3%) notified deaths adhered to the national COVID-19 death definition. CONCLUSIONS: The COVID-19 death definition in Ireland may require revision so it can distinguish between deaths caused by COVID-19 and those in which COVID-19 played a less direct role. The current COVID-19 mortality reporting system may also need updating to capture more clinical nuance.

Under-reporting of mortality surveillance in Hainan, 2018-2020 / 中国热带医学

@#Objective　To understand the overall under-reporting of cause of death monitoring in Hainan Province, and to provide a scientific basis for evaluating the data from death registration report and health planning in Hainan. Methods　Multi-stage cluster random sampling was used, all towns/streets in cities and counties of the province were ranked from highest to lowest in terms of crude death rate, divided into high, medium and low levels (the number of each level was basically the same), and one was randomly selected from each level. A total of three towns/streets were used as survey areas, and all households in the area were survey households. Death information of resident population during 2018-2020 was collected and compared with routine surveillance data for the same period. The under-reporting rate was calculated, and comparison between groups was performed by chi-square. Results　A total of 12 583 death cases were investigated from 2018 to 2020, and the average mortality was 621.48/105. 4 809 cases were missed with the total under-reporting rate of 38.22%. The under-reporting rate from 2018 to 2020 were 39.75%, 39.99% and 34.77% (χ2=30.404, P<0.01) respectively. The under-reporting rate in eastern and central and western areas were 30.33%, 30.10% and 60.15% (χ2=931.901, P<0.01) respectively. The negative rate were different in different years old group (χ2=14.834, P<0.05). Of the 4 809 under-reported cases, as many as 93.49% died at home, and the composition of deaths in hospitals was about 10 times higher in the center than in the east and west, and the proportion of those who died in hospital in central areas was about 10 times higher than in eastern and central areas. Conclusions　More than half of the cities and counties in Hainan Province have improved the completeness of cause of death surveillance data. The under-reporting rate in age group <5 years are still high, and regular under-reporting investigations are still needed to strengthen the reporting and management of death information.

Tracking Hurricane-Related Deaths in the Contiguous United States Using Media Reports From 2012 to 2020.

Heavy rainfall, storm surges, and tornadoes are hazards associated with hurricanes that can cause property damages and loss of life. Disaster-related mortality surveillance encounters challenges, such as timely reporting of mortality data. This review demonstrates how tracking hurricane-related deaths using online media reports (eg, news media articles, press releases, social media posts) can enhance mortality surveillance during a response. The Centers for Disease Control and Prevention used online media reports from 2012 to 2020 to characterize hurricane-related deaths from 10 hurricanes that were declared major disasters and the flooding related to Hurricane Joaquin in the contiguous United States. Media reports showed that drowning (n = 139), blunt force trauma (n = 89), and carbon monoxide poisoning (n = 58) were the primary causes of death. Online media and social media reports are not official records. However, media mortality surveillance is useful for hurricane responses to target messaging and current incident decision-making.

Spatial variations and social determinants of life expectancy in China, 2005-2020: A population-based spatial panel modelling study.

Background: Social determinants of health (SDOH) produce a broad range of life expectancy (LE) disparities. In China, limited literatures were found to report association between SDOH and LE at ecological level during a consecutive period of time from the spatial perspectives. This study aimed to determine the existence, quantify the magnitude, and interpret the association between SDOH and LE in China. Methods: Provincial-level LE were estimated from mortality records during 2005-2020 from National Mortality Surveillance System in China. A spatial panel Durbin model was used to investigate LE associated SDOH proxies. Spatial spillover effects were introduced to interpret direct and indirect effects caused by SDOH during long-term and short-term period on LE disparities. Findings: Nationwide, LE increased from 73.1 (95% confidence interval (CI): 71.3, 74.4) years to 77.7 (95%CI: 76.5, 78.7) years from 2005 to 2020. Unequally spatial distribution of LE with High-High clustering in coastal areas and Low-Low clustering in western regions were observed. Locally, it was estimated that SDOH proxies statistically significant related to an increase of LE, including GDP (coefficient: 0.02, 95%CI: 0.00, 0.03), Gini index (coefficient: 2.35, 95%CI: 1.82, 2.88), number of beds in health care institutions (coefficient: 0.02, 95%CI: 0.00, 0.05) and natural growth rate of resident population (coefficient: 0.02, 95%CI: 0.01, 0.02). Direct and indirect effects decomposition during long-term and short-term of LE associated SDOH proxies demonstrated that GDP, urbanization rate, unemployment rate, education attainment, Gini index, number of beds in health care institutions, sex ratio, gross dependence ratio and natural growth rate of resident population not only affected local LE, but also exerted spatial spillover effects towards geographical neighbors. Interpretation: Spatial variations of LE existed at provincial-level in China. SDOH regarding socioeconomic development and equity, healthcare resources, as well as population characteristics not only affected LE disparities at local scale but also among nearby provinces. Externalities of policy of those SDOH proxies should be took into consideration to promote health equity nationally. Comprehensive approaches on the basis of population strategy should be consolidated to optimize supportive socioeconomic environment and narrow the regional gap to reduce health disparities and increase LE. Funding: National Key Research & Development Program of China (Grant No.2018YFC1315301); Ministry of Education of China Humanities and Social Science General Program (Grant No.18YJC790138).

Validation of physician certified verbal autopsy using conventional autopsy: a large study of adult non-external causes of death in a metropolitan area in Brazil.

BACKGROUND: Reliable mortality data are essential for the development of public health policies. In Brazil, although there is a well-consolidated universal system for mortality data, the quality of information on causes of death (CoD) is not even among Brazilian regions, with a high proportion of ill-defined CoD. Verbal autopsy (VA) is an alternative to improve mortality data. This study aimed to evaluate the performance of an adapted and reduced version of VA in identifying the underlying causes of non-forensic deaths, in São Paulo, Brazil. This is the first time that a version of the questionnaire has been validated considering the autopsy as the gold standard. METHODS: The performance of a physician-certified verbal autopsy (PCVA) was evaluated considering conventional autopsy (macroscopy plus microscopy) as gold standard, based on a sample of 2060 decedents that were sent to the Post-Mortem Verification Service (SVOC-USP). All CoD, from the underlying to the immediate, were listed by both parties, and ICD-10 attributed by a senior coder. For each cause, sensitivity and chance corrected concordance (CCC) were computed considering first the underlying causes attributed by the pathologist and PCVA, and then any CoD listed in the death certificate given by PCVA. Cause specific mortality fraction accuracy (CSMF-accuracy) and chance corrected CSMF-accuracy were computed to evaluate the PCVA performance at the populational level. RESULTS: There was substantial variability of the sensitivities and CCC across the causes. Well-known chronic diseases with accurate diagnoses that had been informed by physicians to family members, such as various cancers, had sensitivities above 40% or 50%. However, PCVA was not effective in attributing Pneumonia, Cardiomyopathy and Leukemia/Lymphoma as underlying CoD. At populational level, the PCVA estimated cause specific mortality fractions (CSMF) may be considered close to the fractions pointed by the gold standard. The CSMF-accuracy was 0.81 and the chance corrected CSMF-accuracy was 0.49. CONCLUSIONS: The PCVA was efficient in attributing some causes individually and proved effective in estimating the CSMF, which indicates that the method is useful to establish public health priorities.

Integrating topic modeling and word embedding to characterize violent deaths.

SignificanceWe introduce an approach to identify latent topics in large-scale text data. Our approach integrates two prominent methods of computational text analysis: topic modeling and word embedding. We apply our approach to written narratives of violent death (e.g., suicides and homicides) in the National Violent Death Reporting System (NVDRS). Many of our topics reveal aspects of violent death not captured in existing classification schemes. We also extract gender bias in the topics themselves (e.g., a topic about long guns is particularly masculine). Our findings suggest new lines of research that could contribute to reducing suicides or homicides. Our methods are broadly applicable to text data and can unlock similar information in other administrative databases.

Causes of perinatal mortality and associated maternal factors in a tertiary referral hospital of Gandaki province of Nepal: a cross-sectional study from a hospital-based surveillance.

BACKGROUND: Perinatal and neonatal death rates have decreased recently but it still poses a major challenge to the health system of Nepal. The study was conducted to explore the pattern and causes of perinatal deaths. METHODS: This was a descriptive cross-sectional study conducted from September 2020 to June 2021 using the data of perinatal mortality of three years from June 15, 2017, to June 14, 2020. The demographic parameters of the mother consisted of maternal age, place of residence, ethnicity, antenatal care, the number of antenatal visits, gravida, gestational weeks, and the mode of delivery. The causes of death were categorized into fetal and early neonatal deaths. Fetal deaths were further classified as macerated stillbirth and fresh stillbirth. The attribution of the causes of deaths to fetal/neonatal and maternal conditions was done as per the guidelines of the WHO application of ICD-10 to deaths during the perinatal period. RESULTS: There were a total of 145 perinatal deaths from 144 mothers among which 92 (63.5%) were males. Ten mothers (6.9%) had not sought even single antenatal care, whereas 32 (22.9%) had visited for antenatal care one to three times. At least one cause of death was identified in 114 (78.6%) and remained unknown in 31(21.4%) cases. Among the 28 cases of macerated stillbirths, the cause of death was not identified in 14 (50%), whereas preterm labor was attributed to the cause of death in four (14.3%). In 53 of the fresh stillbirths, intrapartum hypoxia was identified as the cause of death in 20 (37.7%) cases, preterm labor in nine (17%), and was left unknown in 15 (28.3%) cases. Among the 64 early neonatal deaths, prematurity was attributed as the cause of death in 32 (50%) cases, birth asphyxia, and infections each in 11 (17.2%). CONCLUSIONS: The perinatal mortality surveillance system identified the causes of death in most of the cases in our observation. Prematurity was identified as the commonest cause of early neonatal deaths and preterm labor was the commonest cause responsible for perinatal deaths overall. The perinatal deaths should be investigated to establish exact causes of deaths which can be useful to develop prevention strategies.

How advanced is the epidemiological transition in Papua New Guinea? New evidence from verbal autopsy.

BACKGROUND: Reliable cause of death (COD) data are not available for the majority of deaths in Papua New Guinea (PNG), despite their critical policy value. Automated verbal autopsy (VA) methods, involving an interview and automated analysis to diagnose causes of community deaths, have recently been trialled in PNG. Here, we report VA results from three sites and highlight the utility of these methods to generate information about the leading CODs in the country. METHODS: VA methods were introduced in one district in each of three provinces: Alotau in Milne Bay; Tambul-Nebilyer in Western Highlands; and Talasea in West New Britain. VA interviews were conducted using the Population Health Metrics Research Consortium (PHMRC) shortened questionnaire and analysed using the SmartVA automated diagnostic algorithm. RESULTS: A total of 1655 VAs were collected between June 2018 and November 2019, 87.0% of which related to deaths at age 12 years and over. Our findings suggest a continuing high proportion of deaths due to infectious diseases (27.0%) and a lower proportion of deaths due to non-communicable diseases (NCDs) (50.8%) than estimated by the Global Burden of Disease Study (GBD) 2017: 16.5% infectious diseases and 70.5% NCDs. The proportion of injury deaths was also high compared with GBD: 22.5% versus 13.0%. CONCLUSIONS: Health policy in PNG needs to address a 'triple burden' of high infectious mortality, rising NCDs and a high fraction of deaths due to injuries. This study demonstrates the potential of automated VA methods to generate timely, reliable and policy-relevant data on COD patterns in hard-to-reach populations in PNG.

The Need to Address Fragmentation and Silos in Mortality Information Systems: The Case of Ghana and Peru.

Objectives: We aimed to understand the information architecture and degree of integration of mortality surveillance systems in Ghana and Peru. Methods: We conducted a cross-sectional study using a combination of document review and unstructured interviews to describe and analyse the sub-systems collecting mortality data. Results: We identified 18 and 16 information subsystems with independent databases capturing death events in Peru and Ghana respectively. The mortality information architecture was highly fragmented with a multiplicity of unconnected data silos and with formal and informal data collection systems. Conclusion: Reliable and timely information about who dies where and from what underlying cause is essential to reporting progress on Sustainable Development Goals, ensuring policies are responding to population health dynamics, and understanding the impact of threats and events like the COVID-19 pandemic. Integrating systems hosted in different parts of government remains a challenge for countries and limits the ability of statistics systems to produce accurate and timely information. Our study exposes multiple opportunities to improve the design of mortality surveillance systems by integrating existing subsystems currently operating in silos.

Minimally Invasive Tissue Sampling Surveillance Alliance-Facilitating the Expansion of Pathology-Based Mortality Surveillance.

The Minimally Invasive Tissue Sampling (MITS) Surveillance Alliance was created with funding from the Bill & Melinda Gates Foundation to expand pathology-based mortality surveillance and to support the generation of improved cause-of-death (CoD) data. MITS, also known as minimally invasive autopsy, has evolved to become an important tool to improve CoD ascertainment. Here, we describe the 18 articles included in this supplement that present advanced methods for improving MITS and related areas of research, summarize the expansion of the use of MITS, report on findings from a variety of research projects, and address the importance of postmortem approaches taken during the novel coronavirus disease 2019 pandemic. Support by the scientific and global health community for enhancements and innovation is needed for the broader adoption of MITS-informed CoD as a critical tool to better understand mortality in low- and middle-income countries and identify interventions for the prevention of premature death.

Building Capacity and Infrastructure at Hospitals Implementing Minimally Invasive Tissue Sampling: Experience and Lessons Learned From Nepal, Rwanda, and Tanzania.

BACKGROUND: Minimally invasive tissue sampling (MITS) is a useful tool to determine cause of death in low- and middle-income countries (LMICs). In 2019 the MITS Surveillance Alliance supported the implementation of small-scale postmortem studies using MITS in several LMICs. METHODS: In this article we describe the preparations, challenges, and lessons learned as part of implementing MITS across 4 study sites in 3 countries: Nepal, Rwanda, and Tanzania. We describe the process for building capacity to conduct MITS, which consisted of training in MITS sample collection, individual site assessment to determine readiness and gaps prior to implementation, site visits as sites began implementation of MITS, and feedback based on remote evaluation of histology slides via an online portal. RESULTS: The 4 study sites each conducted 100 MITS, for a total of 400. All 4 sites lacked sufficient infrastructure and facilities to conduct MITS, and upgrades were required. Common challenges faced by sites included that clinical autopsies were neither routinely conducted nor widely accepted. Limited clinical records made cause of death determination more difficult. Lessons learned included the importance of sensitization of the community and medical staff to MITS to enhance understanding and increase consent. CONCLUSIONS: The study sites accomplished MITS and utilized the available support systems to overcome the challenges. The quality of the procedures was satisfactory and was facilitated through the organized capacity-building programs.

Guidance for Systematic Integration of Undernutrition in Attributing Cause of Death in Children.

Minimally invasive tissue sampling (MITS) is increasingly being used to better understand causes of death in low-resource settings. Undernutrition (eg, wasting, stunting) is prevalent among children globally and yet not consistently coded or uniformly included on death certificates in MITS studies when present. Consistent and accurate attribution of undernutrition is fundamental to understanding its contribution to child deaths. In May 2020, members of the MITS Alliance Cause of Death Technical Working Group convened a panel of experts in public health, child health, nutrition, infectious diseases, and MITS to develop guidance for systematic integration of undernutrition, as assessed by anthropometry, in cause of death coding, including as part of the causal chain or as a contributing condition, in children <5 years of age. The guidance presented here will support MITS and other researchers, public health practitioners, and clinicians with a systematic approach to assigning and interpreting undernutrition in death certification.