Initial findings from a novel population-based child mortality surveillance approach: a descriptive study

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Study Justification:
– Sub-Saharan Africa and south Asia account for a significant proportion of under-5 deaths and stillbirths worldwide.
– Current methods for determining causes of death are non-specific and focus on a single underlying cause.
– There is a need for granular data on contributory causes of death to inform child mortality prevention efforts.
Highlights:
– The Child Health and Mortality Prevention Surveillance (CHAMPS) Network was established in seven countries to collect data on under-5 mortality and stillbirths.
– The study analyzed data from the first 2 years of CHAMPS implementation at five sites.
– Minimally invasive tissue sampling (MITS) was used for post-mortem diagnostics.
– At least one cause of death was identified in the majority of cases, with multiple conditions identified in many cases.
– The most common underlying causes of stillbirths, neonatal deaths, and child deaths were identified.
– Contributory pathogens were identified in over half of the cases.
Recommendations:
– The findings from CHAMPS will strengthen global estimates of child mortality causes.
– The study highlights multiple potential interventions to prevent under-5 mortality and stillbirths.
Key Role Players:
– Paediatricians, obstetricians, other health-care providers, epidemiologists, pathologists, and microbiologists.
– CHAMPS staff, community reporters, and health facility staff.
Cost Items for Planning Recommendations:
– Training and capacity building for role players.
– Equipment and supplies for minimally invasive tissue sampling.
– Laboratory testing and analysis.
– Data collection and management.
– Community engagement and awareness campaigns.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong, as it presents findings from a population-based child mortality surveillance approach. The study collected data from multiple sites in seven countries and used standardized procedures for data collection and analysis. The abstract provides detailed information on the methods used, the number of cases analyzed, and the identification of causes of death. However, to improve the evidence, the abstract could include more information on the representativeness of the study population and the generalizability of the findings to other settings.

Background: Sub-Saharan Africa and south Asia contributed 81% of 5·9 million under-5 deaths and 77% of 2·6 million stillbirths worldwide in 2015. Vital registration and verbal autopsy data are mainstays for the estimation of leading causes of death, but both are non-specific and focus on a single underlying cause. We aimed to provide granular data on the contributory causes of death in stillborn fetuses and in deceased neonates and children younger than 5 years, to inform child mortality prevention efforts. Methods: The Child Health and Mortality Prevention Surveillance (CHAMPS) Network was established at sites in seven countries (Baliakandi, Bangladesh; Harar and Kersa, Ethiopia; Siaya and Kisumu, Kenya; Bamako, Mali; Manhiça, Mozambique; Bombali, Sierra Leone; and Soweto, South Africa) to collect standardised, population-based, longitudinal data on under-5 mortality and stillbirths in sub-Saharan Africa and south Asia, to improve the accuracy of determining causes of death. Here, we analysed data obtained in the first 2 years after the implementation of CHAMPS at the first five operational sites, during which surveillance and post-mortem diagnostics, including minimally invasive tissue sampling (MITS), were used. Data were abstracted from all available clinical records of deceased children, and relevant maternal health records were also extracted for stillbirths and neonatal deaths, to incorporate reported pregnancy or delivery complications. Expert panels followed standardised procedures to characterise causal chains leading to death, including underlying, intermediate (comorbid or antecedent causes), and immediate causes of death for stillbirths, neonatal deaths, and child (age 1–59 months) deaths. Findings: Between Dec 10, 2016, and Dec 31, 2018, MITS procedures were implemented at five sites in Mozambique, South Africa, Kenya, Mali, and Bangladesh. We screened 2385 death notifications for inclusion eligibility, following which 1295 families were approached for consent; consent was provided for MITS by 963 (74%) of 1295 eligible cases approached. At least one cause of death was identified in 912 (98%) of 933 cases (180 stillbirths, 449 neonatal deaths, and 304 child deaths); two or more conditions were identified in the causal chain for 585 (63%) of 933 cases. The most common underlying causes of stillbirth were perinatal asphyxia or hypoxia (130 [72%] of 180 stillbirths) and congenital infection or sepsis (27 [15%]). The most common underlying causes of neonatal death were preterm birth complications (187 [42%] of 449 neonatal deaths), perinatal asphyxia or hypoxia (98 [22%]), and neonatal sepsis (50 [11%]). The most common underlying causes of child deaths were congenital birth defects (39 [13%] of 304 deaths), lower respiratory infection (37 [12%]), and HIV (35 [12%]). In 503 (54%) of 933 cases, at least one contributory pathogen was identified. Cytomegalovirus, Escherichia coli, group B Streptococcus, and other infections contributed to 30 (17%) of 180 stillbirths. Among neonatal deaths with underlying prematurity, 60% were precipitated by other infectious causes. Of the 275 child deaths with infectious causes, the most common contributory pathogens were Klebsiella pneumoniae (86 [31%]), Streptococcus pneumoniae (54 [20%]), HIV (40 [15%]), and cytomegalovirus (34 [12%]), and multiple infections were common. Lower respiratory tract infection contributed to 174 (57%) of 304 child deaths. Interpretation: Cause of death determination using MITS enabled detailed characterisation of contributing conditions. Global estimates of child mortality aetiologies, which are currently based on a single syndromic cause for each death, will be strengthened by findings from CHAMPS. This approach adds specificity and provides a more complete overview of the chain of events leading to death, highlighting multiple potential interventions to prevent under-5 mortality and stillbirths. Funding: Bill & Melinda Gates Foundation.

The CHAMPS Network included sites in seven countries: Baliakandi, Bangladesh; Harar and Kersa, Ethiopia; Siaya and Kisumu, Kenya; Bamako, Mali; Manhiça, Mozambique; Bombali, Sierra Leone; and Soweto, South Africa. Site characteristics and selection criteria have been described previously.17 As of Dec 31, 2018, five sites had implemented minimally invasive tissue sampling, and data from these sites are included in this report. Some sites used pre-existing Health and Demographic Surveillance System (HDSS) catchment areas.18, 19, 20, 21 New surveillance areas were developed for CHAMPS within informal settlements in Kisumu, Baliakandi, and Soweto. The total population size for catchment areas within each country (with the exception of South Africa) ranged between 170 000 and 227 219 individuals.21 The Soweto site, in the absence of an established HDSS, used the entire township and surrounding informal settlement areas (population of approximately 1·3 million people) as the catchment area during the majority of the reported period while the HDSS was being established. Sites built relationships with communities22 and health facilities within catchment areas, posting CHAMPS staff at health facilities and developing networks of community reporters to receive notifications of under-5 deaths and stillbirths within the first 24 h.17 At most sites, death notifications were initially mostly received from primary referral health facilities, subse-quently expanding to notifications of deaths occurring outside health facilities. After receiving notifications of deaths or stillbirths, CHAMPS staff approached families rapidly for eligibility screening. Eligible cases were aged younger than 60 months, and they or their parents resided within the study catchment area. MITS eligibility required that CHAMPS staff were notified within 36 h of death (or ≤72 h if post-mortem refrigeration used) and that the body of the stillborn fetus or deceased child was available for analysis. Families provided consent for the MITS procedure, verbal autopsy, and clinical data abstraction, and we present data on these MITS-eligible fetuses, neonates, or children in this report. Stillborn fetuses and deceased neonates and infants who were not eligible for the MITS procedure (eg, CHAMPS received a notification more than 36 h after their death or consent for MITS was not given) were asked to consent for only verbal autopsy interview and clinical data abstraction, and will be reported elsewhere.17 Parents or guardians of stillborn fetuses or deceased children provided written informed consent before collection of data, specimens, or information on the mothers. Ethics committees overseeing investigators at each site and at Emory University (Atlanta, GA, USA) approved overall and site-specific protocols, as appropriate. The Centers for Disease Control and Prevention (CDC; Atlanta, GA, USA) relied on the Emory University committee to review the overall protocol and on appropriate ethical review committees at the sites where CDC staff were directly engaged. Protocols have been published previously. Trained CHAMPS staff took photographs to identify dysmorphic features and took anthropometric measurements before specimen collection. In sterile conditions, tissue specimens were collected using biopsy needles from the lungs, heart, brain, liver, and bone marrow.23 They also collected peripheral blood, cerebrospinal fluid, stool, and nasopharyngeal secretions. Site laboratories tested post-mortem blood samples for HIV DNA or RNA by PCR, malaria thick and thin smears, and rapid diagnostic tests; blood and cerebrospinal fluid were cultured. Five custom TaqMan Array Cards (ThermoFisher Scientific, Waltham, MA, USA) with specific molecular assays were used to detect 116 pathogen targets from lung tissue, blood, cerebrospinal fluid, rectal brush (collecting stool), and nasopharyngeal swabs.23, 24 Pathology laboratories at each site and at the CDC applied histopathology to all tissues, including routine stains. Special stains, such as tissue Gram stain, targeting microorganisms and immunohistochemistry were done when relevant, at pathology laboratories at the CDC.25 Data were abstracted from all available clinical records of deceased children and relevant maternal health records were abstracted for stillbirths, neonatal deaths, and others with reported pregnancy or delivery complications. Trained interviewers used appropriate-language translations of the 2016 WHO verbal autopsy instrument17, 26 to interview caregivers of enrolled deceased children within 4 weeks of death, when feasible. All data available for each case were reviewed by Determination of Cause of Death (DeCoDe) panels convened at each site, which consisted of paediatricians, obstetricians, other health-care providers, epidemiologists, pathologists, and microbiologists.27 The panels reviewed available case data and determined the chain of events leading to death using WHO ICD-10 and WHO application of ICD-10 to deaths during the perinatal period (ICD-PM) guidelines.28, 29 For cases in which more than one condition led to death, the process included documenting the entire causal chain leading to death, as in a standard death certificate, including underlying cause, intermediate (referred to on the WHO standard death certificate as comorbid or antecedent causes), and immediate cause. To be included in the causal chain, the panels considered whether appropriate management or prevention of that condition could have prevented the death. Additionally, the panels identified any other contributing causes of death and the main maternal factors contributing to perinatal deaths. The immediate cause of death was the most proximal cause leading to death, and antecedent or comorbid causes were others contributing directly to the chain of events leading to death. The underlying cause was the disease or injury that initiated the chain of events that led to the death. Each case could have one immediate cause and multiple comorbid or antecedent causes identified, which could be in the same general category (eg, lower respiratory tract infection could be listed twice in the same causal chain if, for example, a viral pneumonia led to a bacterial superinfection). Additionally, the panels considered all available data for evidence of signs of life (such as postnatal respiration, heartbeat, or movement); the presence of any resulted in a case being categorised as a neonatal death rather than a stillbirth. The DeCoDe process was standardised across the network using diagnosis standards for defining and coding common childhood causes of death and organisation of specific and homogeneous training at all sites.27 Causes were grouped into standardised categories for analysis (appendix p 2). All analyses were conducted using R (version 3.6.3). The funder of the study provided input on study design and site selection and suggested edits on the final versions of the manuscript, but had no role in data collection, data analysis, or data interpretation. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.

Based on the provided information, here are some potential innovations that could improve access to maternal health:

1. Implementation of the Child Health and Mortality Prevention Surveillance (CHAMPS) Network: This network collects standardized, population-based, longitudinal data on under-5 mortality and stillbirths in sub-Saharan Africa and south Asia. By improving the accuracy of determining causes of death, this approach can provide granular data on the contributory causes of death in stillborn fetuses and deceased neonates and children, which can inform child mortality prevention efforts.

2. Minimally Invasive Tissue Sampling (MITS): The CHAMPS Network utilizes MITS procedures to collect tissue samples from stillborn fetuses and deceased children. This innovative approach allows for detailed characterization of contributing conditions and provides a more complete overview of the chain of events leading to death. By identifying specific causes of death, interventions can be targeted to prevent under-5 mortality and stillbirths.

3. Community Engagement and Rapid Notification: The CHAMPS Network builds relationships with communities and health facilities within catchment areas. They post CHAMPS staff at health facilities and develop networks of community reporters to receive notifications of under-5 deaths and stillbirths within the first 24 hours. This innovative approach ensures timely identification of deaths and enables rapid response and intervention.

4. Verbal Autopsy and Clinical Data Abstraction: CHAMPS utilizes verbal autopsy interviews and clinical data abstraction to gather information on the deceased children and relevant maternal health records for stillbirths and neonatal deaths. This comprehensive approach allows for a better understanding of the circumstances surrounding the deaths and provides valuable insights into pregnancy or delivery complications that can be addressed to improve maternal health.

5. Determination of Cause of Death (DeCoDe) Panels: Expert panels, consisting of healthcare providers, epidemiologists, pathologists, and microbiologists, review available case data and determine the chain of events leading to death. This standardized process ensures accurate determination of causes of death and identifies any contributing factors. The findings from these panels can inform interventions and prevention strategies.

These innovations, implemented through the CHAMPS Network, have the potential to improve access to maternal health by providing accurate data on causes of death, enabling targeted interventions, and promoting community engagement and rapid response.
AI Innovations Description
The CHAMPS Network conducted a study to improve the accuracy of determining causes of death in stillborn fetuses and children under 5 years old in sub-Saharan Africa and south Asia. The study used a novel approach called the Child Health and Mortality Prevention Surveillance (CHAMPS) Network, which collected standardized, population-based, longitudinal data on under-5 mortality and stillbirths. The study analyzed data from the first 2 years of implementation at five operational sites in Mozambique, South Africa, Kenya, Mali, and Bangladesh.

The study found that the most common underlying causes of stillbirths were perinatal asphyxia or hypoxia and congenital infection or sepsis. For neonatal deaths, the most common underlying causes were preterm birth complications, perinatal asphyxia or hypoxia, and neonatal sepsis. The most common underlying causes of child deaths were congenital birth defects, lower respiratory infection, and HIV. In addition, the study identified contributory pathogens in a significant number of cases.

The findings from this study provide detailed information on the contributing conditions leading to death, which can help improve global estimates of child mortality causes. This approach adds specificity and provides a more complete overview of the chain of events leading to death, highlighting multiple potential interventions to prevent under-5 mortality and stillbirths.

Based on these findings, a recommendation to improve access to maternal health could be to focus on interventions that address the identified underlying causes of stillbirths, neonatal deaths, and child deaths. This could include improving access to quality prenatal care, promoting safe delivery practices, and implementing strategies to prevent and manage infections during pregnancy and childbirth. Additionally, efforts should be made to strengthen health systems and improve the availability and affordability of essential maternal health services in sub-Saharan Africa and south Asia.
AI Innovations Methodology
The CHAMPS Network conducted a study to improve the accuracy of determining causes of death in stillborn fetuses, neonates, and children under 5 years old in sub-Saharan Africa and south Asia. The study used a population-based, longitudinal approach and implemented minimally invasive tissue sampling (MITS) to collect data. The methodology involved the following steps:

1. Site selection: The CHAMPS Network established sites in seven countries, including Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and South Africa. Catchment areas were developed within each country, and relationships were built with communities and health facilities.

2. Death notifications: CHAMPS staff received notifications of under-5 deaths and stillbirths within the catchment areas. Initially, notifications were mostly received from primary referral health facilities and later expanded to include deaths occurring outside health facilities.

3. Eligibility screening: CHAMPS staff approached families rapidly to screen for eligibility. Eligible cases included children aged younger than 60 months whose parents resided within the study catchment area. MITS eligibility required notification within 36 hours of death (or ≤72 hours with post-mortem refrigeration) and availability of the body for analysis.

4. Consent and data collection: Families provided consent for the MITS procedure, verbal autopsy, and clinical data abstraction. Trained CHAMPS staff collected data from clinical records of deceased children and relevant maternal health records for stillbirths and neonatal deaths.

5. Minimally invasive tissue sampling: Tissue specimens were collected using biopsy needles from various organs, and other samples such as blood, cerebrospinal fluid, stool, and nasopharyngeal secretions were also collected. Laboratory tests were conducted to detect pathogens and histopathology was performed on tissue samples.

6. Determination of cause of death: Expert panels reviewed available case data and determined the chain of events leading to death using WHO guidelines. The panels identified underlying, intermediate, and immediate causes of death, as well as contributing factors and maternal factors for perinatal deaths.

7. Data analysis: Data from all available clinical records and MITS procedures were analyzed. Causes of death were grouped into standardized categories for analysis.

To simulate the impact of recommendations on improving access to maternal health, a methodology could include the following steps:

1. Identify potential recommendations: Review existing research, guidelines, and best practices to identify potential recommendations for improving access to maternal health. These could include interventions such as increasing the number of skilled birth attendants, improving access to prenatal and postnatal care, implementing community-based health programs, or enhancing transportation infrastructure for pregnant women.

2. Define indicators: Determine specific indicators that can measure the impact of the recommendations on improving access to maternal health. These indicators could include the number of women receiving prenatal and postnatal care, the percentage of births attended by skilled birth attendants, or the reduction in maternal mortality rates.

3. Collect baseline data: Gather baseline data on the current state of access to maternal health in the target population. This could involve conducting surveys, interviews, or analyzing existing data sources.

4. Simulate the impact: Use modeling or simulation techniques to estimate the potential impact of the recommendations on improving access to maternal health. This could involve creating scenarios based on different levels of implementation and analyzing the projected outcomes using the defined indicators.

5. Evaluate the results: Assess the results of the simulation to determine the potential effectiveness of the recommendations in improving access to maternal health. Consider factors such as feasibility, cost-effectiveness, and scalability.

6. Refine and iterate: Based on the evaluation results, refine the recommendations and simulation methodology as needed. Iterate the process to further optimize the recommendations and improve access to maternal health.

It is important to note that the specific methodology for simulating the impact of recommendations may vary depending on the context and available data.

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