Early-Neonatal, Late-Neonatal, Postneonatal, and Child Mortality Rates Across India, 1993-2021.

Importance: The global success of the child survival agenda depends on how rapidly mortality at early ages after birth declines in India, and changes need to be monitored to evaluate the status. Objective: To understand the disaggregated patterns of decrease in early-life mortality across states and union territories (UTs) of India. Design, Setting, and Participants: Repeated cross-sectional data from the 5 rounds of the National Family Health Survey conducted in 1992-1993, 1998-1999, 2005-2006, 2015-2016, and 2019-2021 were used in a representative population-based study. The study was based on data of children born in the past 5 years with complete information on date of birth and age at death. The analysis was conducted in February 2024. Exposure: Time and geographic units. Main Outcomes and Measures: Mortality rates were computed for 4 early-life periods: early-neonatal (first 7 days), late-neonatal (8-28 days), postneonatal (29 days to 11 months), and child (12-59 months). For early and late neonatal periods, the rates are expressed as deaths per 1000 live births, for postneonatal, as deaths per 1000 children aged at least 29 days and for child, deaths per 1000 children aged at least 1 year. These are collectively mentioned as deaths per 1000 for all mortalities. The relative burden of each of the age-specific mortalities to total mortality in children younger than 5 years was also computed. Results: The final analytical sample included 33 667 (1993), 29 549 (1999), 23 020 (2006), 82 294 (2016), and 64 242 (2021) children who died before their fifth birthday in the past 5 years of each survey. Mortality rates were lowest for the late-neonatal and child periods; early-neonatal was the highest in 2021. Child mortality experienced the most substantial decrease between 1993 and 2021, from 33.5 to 6.9 deaths per 1000, accompanied by a substantial reduction in interstate inequalities. While early-neonatal (from 33.5 to 20.3 deaths per 1000), late-neonatal (from 14.1 to 4.1 deaths per 1000), and postneonatal (from 31.0 to 10.8 deaths per 1000) mortality also decreased, interstate inequalities remained notable. The mortality burden shifted over time and is now concentrated during the early-neonatal (48.3% of total deaths in children younger than 5 years) and postneonatal (25.6%) periods. A stagnation or worsening for certain states and UTs was observed from 2016 to 2021 for early-neonatal, late-neonatal, and postneonatal mortality. If this pattern continues, these states and UTs will not meet the United Nations Sustainable Development Goal targets related to child survival. Conclusions and Relevance: In this repeated cross-sectional study of 5 time periods, the decrease in mortality during early-neonatal and postneonatal phases of mortality was relatively slower, with notable variations across states and UTs. The findings suggest that policies pertaining to early-neonatal and postneonatal mortalities need to be prioritized and targeting of policies and interventions needs to be context-specific.

Mother, child and adolescent health outcomes in two long-term refugee camp settings at the Thai-Myanmar border 2000-2018: a retrospective analysis.

AIM: The study assessed mothers, children and adolescents' health (MCAH) outcomes in the context of a Primary Health Care (PHC) project and associated costs in two protracted long-term refugee camps, along the Thai-Myanmar border. BACKGROUND: Myanmar refugees settled in Thailand nearly 40 years ago, in a string of camps along the border, where they fully depend on external support for health and social services. Between 2000 and 2018, a single international NGO has been implementing an integrated PHC project. METHODS: This retrospective study looked at the trends of MCAH indicators of mortality and morbidity and compared them to the sustainable development goals (SDGs) indicators. A review of programme documents explored and triangulated the evolution and changing context of the PHC services, and associated project costs were analysed. To verify changes over time, interviews with 12 key informants were conducted. FINDINGS: While maternal mortality (SDG3.1) remained high at 126.5/100,000 live births, child mortality (SDG 3.2) and infectious diseases in children under 5 (SDG 3.3) fell by 69% and by up to 92%, respectively. Maternal anaemia decreased by 30%; and more than 90% of pregnant women attended four or more antenatal care visits, whereas 80% delivered by a skilled birth attendant; caesarean section rates rose but remained low at an average of 3.7%; the adolescent (15-19 years) birth rate peaked at 188 per 1000 in 2015 but declined to 89/1000 in 2018 (SDG 3.7). CONCLUSION: Comprehensive PHC delivery, with improved health provider competence in MCAH care, together with secured funding is an appropriate strategy to bring MCAH indicators to acceptable levels. However, inequities due to confinement in camps, fragmentation of specific health services, prevent fulfilment of the 2030 SDG Agenda to 'Leave no one behind'. Costs per birth was 115 EURO in 2018; however, MCAH expenditure requires further exploration over a longer period.

Reducing childhood mortality extends mothers' lives.

During the twentieth century, childhood mortality was dramatically reduced globally, falling by more than 90% in the United States and much of Europe. Total fertility also fell, with the combined result that many parents who otherwise would have experienced the loss of a child were spared the trauma and negative health consequences that accompany such a loss. Here I use mathematical modeling to argue that the reduction in the frequency of child death that occurred in the twentieth century indirectly led to a substantial reduction in female mortality, resulting in an extension of female lifespan. I estimate that the reduction in maternal bereavement in the US during the twentieth century indirectly increased mean female lifespan after age 15 by approximately 1 year. I discuss implications for our understanding of the persistence of the sex gap in longevity and approaches to improving maternal health outcomes in countries that still face high levels of childhood mortality.

Excess Child Mortality Associated With Colombia's Armed Conflict, 1998-2019.

Importance: Armed conflicts are directly and indirectly associated with morbidity and mortality due to destruction of health infrastructure and diversion of resources, forced displacement, environmental damage, and erosion of social and economic security. Colombia's conflict began in the 1940s and has been uniquely long-lasting and geographically dynamic. Objective: To estimate the proportion of infant and child mortality associated with armed conflict exposure from 1998 to 2019 in Colombia. Design, Setting, and Participants: This ecological cohort study includes data from all 1122 municipalities in Colombia from 1998 to 2019. Statistical analysis was conducted from February 2022 to June 2023. Exposure: Armed conflict exposure was measured dichotomously by the occurrence of conflict-related events in each municipality-year, enumerated and reported by the Colombian National Center for Historic Memory. Main Outcomes and Measures: Deaths among children younger than 5 years and deaths among infants younger than 1 year, offset by the number of births in that municipality-year, enumerated by Colombia's national vital statistics. Results: The analytical sample included 24 157 municipality-years and 223 101 conflict events covering the period from 1998 to 2019. Overall, the presence of armed conflict in a municipality was associated with a 52% increased risk of death for children younger than 5 years of age (relative risk, 1.52 [95% CI, 1.34-1.72]), with similar results for 1- and 5-year lagged analyses. Armed conflict was associated with a 61% increased risk in infant (aged <1 year) death (relative risk, 1.61 [95% CI, 1.43-1.82]). On the absolute scale, this translates to a risk difference of 3.7 excess child deaths per 1000 births (95% CI, 2.7-4.7 per 1000 births) and 3.0 excess infant deaths per 1000 births (95% CI, 2.3-3.6 per 1000 births) per year, beyond what would be expected in the absence of armed conflict. Across the 22-year study period, the population attributable risk was 31.7% (95% CI, 23.5%-39.1%) for child deaths and 35.3% (95% CI, 27.8%-42.0%) for infant deaths. Conclusions and Relevance: This ecological cohort study of Colombia's spatiotemporally dynamic armed conflict suggests that municipal exposure to armed conflict was associated with excess child and infant deaths. With a record number of children living near active conflict zones in 2020, policy makers and health professionals should understand the magnitude of and manner in which armed conflicts directly and indirectly undermine child health.

Association between maternal health service utilization and under-five mortality rate in China and its provinces, 1990-2017.

BACKGROUND: The United Nations (UN) Sustainable Development Goal - 3.2 aims to eliminate all preventable under-five mortality rate (U5MR). In China, government have made efforts to provide maternal health services and reduce U5MR. Hence, we aimed to explore maternal health service utilization in relation to U5MR in China and its provinces in 1990-2017. METHODS: We obtained data from Global Burden of Disease 2017, China Health Statistics Yearbook, China Statistical Yearbook, and Human Development Report China Special Edition. The trend of U5MR in each province of China from 1990 to 2017 was analyzed using Joinpoint Regression model. We measured the inequities in maternal health services using HEAT Plus, a health inequity measurement tool developed by the UN. The generalized estimating equation model was used to explore the association between maternal health service utilization (including prenatal screening, hospital delivery and postpartum visits) and U5MR. RESULTS: First, in China, the U5MR per 1000 live births decreased from 50 in 1990 to 12 in 2017 and the average annual percentage change (AAPC) was - 5.2 (p < 0.05). Secondly, China had a high maternal health service utilization in 2017, with 96.5% for prenatal visits, 99.9% for hospital delivery, and 94% for postnatal visits. Inequity in maternal health services between provinces is declining, with hospital delivery rate showing the greatest decrease (SII, 14.01 to 1.87, 2010 to 2017). Third, an increase in the rate of hospital delivery rate can significantly reduce U5MR (OR 0.991, 95%CI 0.987 to 0.995). Postpartum visits rate with a one-year lag can reduce U5MR (OR 0.993, 95%CI 0.987 to 0.999). However, prenatal screening rate did not have a significant effect on U5MR. CONCLUSION: The decline in U5MR in China was associated with hospital delivery and postpartum visits. The design and implementation of maternal health services may provide references to other low-income and middle-income countries.

Mass Azithromycin Distribution to Prevent Child Mortality in Burkina Faso: The CHAT Randomized Clinical Trial.

Importance: Repeated mass distribution of azithromycin has been shown to reduce childhood mortality by 14% in sub-Saharan Africa. However, the estimated effect varied by location, suggesting that the intervention may not be effective in different geographical areas, time periods, or conditions. Objective: To evaluate the efficacy of twice-yearly azithromycin to reduce mortality in children in the presence of seasonal malaria chemoprevention. Design, Setting, and Participants: This cluster randomized placebo-controlled trial evaluating the efficacy of single-dose azithromycin for prevention of all-cause childhood mortality included 341 communities in the Nouna district in rural northwestern Burkina Faso. Participants were children aged 1 to 59 months living in the study communities. Interventions: Communities were randomized in a 1:1 ratio to receive oral azithromycin or placebo distribution. Children aged 1 to 59 months were offered single-dose treatment twice yearly for 3 years (6 distributions) from August 2019 to February 2023. Main Outcomes and Measures: The primary outcome was all-cause childhood mortality, measured during a twice-yearly enumerative census. Results: A total of 34 399 children (mean [SD] age, 25.2 [18] months) in the azithromycin group and 33 847 children (mean [SD] age, 25.6 [18] months) in the placebo group were included. A mean (SD) of 90.1% (16.0%) of the censused children received the scheduled study drug in the azithromycin group and 89.8% (17.1%) received the scheduled study drug in the placebo group. In the azithromycin group, 498 deaths were recorded over 60 592 person-years (8.2 deaths/1000 person-years). In the placebo group, 588 deaths were recorded over 58 547 person-years (10.0 deaths/1000 person-years). The incidence rate ratio for mortality was 0.82 (95% CI, 0.67-1.02; P = .07) in the azithromycin group compared with the placebo group. The incidence rate ratio was 0.99 (95% CI, 0.72-1.36) in those aged 1 to 11 months, 0.92 (95% CI, 0.67-1.27) in those aged 12 to 23 months, and 0.73 (95% CI, 0.57-0.94) in those aged 24 to 59 months. Conclusions and Relevance: Mortality in children (aged 1-59 months) was lower with biannual mass azithromycin distribution in a setting in which seasonal malaria chemoprevention was also being distributed, but the difference was not statistically significant. The study may have been underpowered to detect a clinically relevant difference. Trial Registration: ClinicalTrials.gov Identifier: NCT03676764.

Racial Inequities in Mortality Rate in Hospitalized Children.

BACKGROUND AND OBJECTIVES: Racial/ethnic inequities for inpatient mortality in children at a national level in the U.S. have not been explored. The objective of this study was to evaluate differences in inpatient mortality rate among different racial/ethnic groups, using the Kids' Inpatient Database. METHODS: A cross-sectional study of children of ages greater than 28 days and less than 21 years discharged during 2012 and 2016. Racial/ethnic groups - White, Black, Hispanic, Asian and Pacific Islander and Native Americans were analyzed in two cohorts, Cohort A (all discharges) and Cohort B (ventilated children). RESULTS: A total of 4,247,604 and 79,116 discharges were included in cohorts A and B, respectively. Univariate analysis showed that the inpatient mortality rate was highest among Asian and Pacific Islander children for both cohorts: A (0.47% [0.42-0.51]), B (10.9% [9.8-12.1]). Regression analysis showed that Asian and Pacific Islander and Black children had increased odds of inpatient mortality compared to White children: A (1.319 [1.162-1.496], 1.178 [1.105-1.257], respectively) and B (1.391 [1.199-1.613], 1.163 [1.079-1.255], respectively). Population-based hospital mortality was highest in Black children (1.17 per 10,000 children). CONCLUSIONS: Inpatient mortality rates are significantly higher in U.S. children of Asian and Pacific Islander and Black races compared to White children. U.S. population-based metrics such as hospitalization rate, ventilation rate, and hospital mortality rate are highest in Black children. Our data suggest that lower median household income alone may not account for a higher inpatient mortality rate. The causes and prevention of racial and ethnic inequities in hospitalized children need to be explored further.

The effects of cash transfers on adult and child mortality in low- and middle-income countries.

Poverty is an important social determinant of health that is associated with increased risk of death1-5. Cash transfer programmes provide non-contributory monetary transfers to individuals or households, with or without behavioural conditions such as children's school attendance6,7. Over recent decades, cash transfer programmes have emerged as central components of poverty reduction strategies of many governments in low- and middle-income countries6,7. The effects of these programmes on adult and child mortality rates remains an important gap in the literature, however, with existing evidence limited to a few specific conditional cash transfer programmes, primarily in Latin America8-14. Here we evaluated the effects of large-scale, government-led cash transfer programmes on all-cause adult and child mortality using individual-level longitudinal mortality datasets from many low- and middle-income countries. We found that cash transfer programmes were associated with significant reductions in mortality among children under five years of age and women. Secondary heterogeneity analyses suggested similar effects for conditional and unconditional programmes, and larger effects for programmes that covered a larger share of the population and provided larger transfer amounts, and in countries with lower health expenditures, lower baseline life expectancy, and higher perceived regulatory quality. Our findings support the use of anti-poverty programmes such as cash transfers, which many countries have introduced or expanded during the COVID-19 pandemic, to improve population health.

The New Crisis of Increasing All-Cause Mortality in US Children and Adolescents.

This Viewpoint discusses increased rates in pediatric mortality by age and cause between 1999 and 2021.

Estimated impact of the 2020 economic downturn on under-5 mortality for 129 countries.

In low- and middle-income countries (LMICs), economic downturns can lead to increased child mortality by affecting dietary, environmental, and care-seeking factors. This study estimates the potential loss of life in children under five years old attributable to economic downturns in 2020. We used a multi-level, mixed effects model to estimate the relationship between gross domestic product (GDP) per capita and under-5 mortality rates (U5MRs) specific to each of 129 LMICs. Public data were retrieved from the World Bank World Development Indicators database and the United Nations World Populations Prospects estimates for the years 1990-2020. Country-specific regression coefficients on the relationship between child mortality and GDP were used to estimate the impact on U5MR of reductions in GDP per capita of 5%, 10%, and 15%. A 5% reduction in GDP per capita in 2020 was estimated to cause an additional 282,996 deaths in children under 5 in 2020. At 10% and 15%, recessions led to higher losses of under-5 lives, increasing to 585,802 and 911,026 additional deaths, respectively. Nearly half of all the potential under-5 lives lost in LMICs were estimated to occur in Sub-Saharan Africa. Because most of these deaths will likely be due to nutrition and environmental factors amenable to intervention, countries should ensure continued investments in food supplementation, growth monitoring, and comprehensive primary health care to mitigate potential burdens.

Global, regional, and national trends in under-5 mortality between 1990 and 2019 with scenario-based projections until 2030: a systematic analysis by the UN Inter-agency Group for Child Mortality Estimation.

BACKGROUND: The Sustainable Development Goals (SDGs), set in 2015 by the UN General Assembly, call for all countries to reach an under-5 mortality rate (U5MR) of at least as low as 25 deaths per 1000 livebirths and a neonatal mortality rate (NMR) of at least as low as 12 deaths per 1000 livebirths by 2030. We estimated levels and trends in under-5 mortality for 195 countries from 1990 to 2019, and conducted scenario-based projections of the U5MR and NMR from 2020 to 2030 to assess country progress in, and potential for, reaching SDG targets on child survival and the potential under-5 and neonatal deaths over the next decade. METHODS: Levels and trends in under-5 mortality are based on the UN Inter-agency Group for Child Mortality Estimation (UN IGME) database on under-5 mortality, which contains around 18 000 country-year datapoints for 195 countries-nearly 10 000 of those datapoints since 1990. The database includes nationally representative mortality data from vital registration systems, sample registration systems, population censuses, and household surveys. As with previous sets of national UN IGME estimates, a Bayesian B-spline bias-reduction model (B3) that considers the systematic biases associated with the different data source types was fitted to these data to generate estimates of under-5 (age 0-4 years) mortality with uncertainty intervals for 1990-2019 for all countries. Levels and trends in the neonatal mortality rate (0-27 days) are modelled separately as the log ratio of the neonatal mortality rate to the under-5 mortality rate using a Bayesian model. Estimated mortality rates are combined with livebirths data to calculate the number of under-5 and neonatal deaths. To assess the regional and global burden of under-5 deaths in the present decade and progress towards SDG targets, we constructed several scenario-based projections of under-5 mortality from 2020 to 2030 and estimated national, regional, and global under-5 mortality trends up to 2030 for each scenario. FINDINGS: The global U5MR decreased by 59% (90% uncertainty interval [UI] 56-61) from 93·0 (91·7-94·5) deaths per 1000 livebirths in 1990 to 37·7 (36·1-40·8) in 2019, while the annual number of global under-5 deaths declined from 12·5 (12·3-12·7) million in 1990 to 5·2 (5·0-5·6) million in 2019-a 58% (55-60) reduction. The global NMR decreased by 52% (90% UI 48-55) from 36·6 (35·6-37·8) deaths per 1000 livebirths in 1990, to 17·5 (16·6-19·0) in 2019, and the annual number of global neonatal deaths declined from 5·0 (4·9-5·2) million in 1990, to 2·4 (2·3-2·7) million in 2019, a 51% (47-54) reduction. As of 2019, 122 of 195 countries have achieved the SDG U5MR target, and 20 countries are on track to achieve the target by 2030, while 53 will need to accelerate progress to meet the target by 2030. 116 countries have reached the SDG NMR target with 16 on track, leaving 63 at risk of missing the target. If current trends continue, 48·1 million under-5 deaths are projected to occur between 2020 and 2030, almost half of them projected to occur during the neonatal period. If all countries met the SDG target on under-5 mortality, 11 million under-5 deaths could be averted between 2020 and 2030. INTERPRETATION: As a result of effective global health initiatives, millions of child deaths have been prevented since 1990. However, the task of ending all preventable child deaths is not done and millions more deaths could be averted by meeting international targets. Geographical and economic variation demonstrate the possibility of even lower mortality rates for children under age 5 years and point to the regions and countries with highest mortality rates and in greatest need of resources and action. FUNDING: Bill & Melinda Gates Foundation, US Agency for International Development.

Child mortality in England during the COVID-19 pandemic.

OBJECTIVES: Using the National Child Mortality Database (NCMD), this work aims to investigate and quantify the characteristics of children dying of COVID-19, and to identify any changes in rate of childhood mortality during the pandemic. DESIGN: We compared the characteristics of the children who died in 2020, split by SARS-CoV-2 status. A negative binomial regression model was used to compare mortality rates in lockdown (23 March-28 June), with those children who died in the preceding period (6 January-22 March), as well as a comparable period in 2019. SETTING: England. PARTICIPANTS: Children (0-17 years). MAIN OUTCOME MEASURES: Characteristics and number of the children who died in 2020, split by SARS-CoV-2 status. RESULTS: 1550 deaths of children between 6th of January and 28 June 2020 were notified to the NCMD; 437 of the deaths were linked to SARS-CoV-2 virology records, 25 (5.7%) had a positive PCR result. PCR-positive children were less likely to be white (37.5% vs 69.4%, p=0.003) and were older (12.2 vs 0.7 years, p<0.0006) compared with child deaths without evidence of the virus. All-cause mortality rates were similar during lockdown compared with both the period before lockdown in 2020 (rate ratio (RR) 0.93 (0.84 to 1.02)) and a similar period in 2019 (RR 1.02 (0.92 to 1.13)). CONCLUSIONS: There is little to suggest that there has been excess mortality during the period of lockdown. The apparent higher frequency of SARS-CoV-2-positive tests among children from black, Asian and minority ethnic groups is consistent with findings in adults. Ongoing surveillance is essential as the pandemic continues.

Global, regional, and national causes of under-5 mortality in 2000-19: an updated systematic analysis with implications for the Sustainable Development Goals.

BACKGROUND: Causes of mortality are a crucial input for health systems for identifying appropriate interventions for child survival. We present an updated series of cause-specific mortality for neonates and children younger than 5 years from 2000 to 2019. METHODS: We updated cause-specific mortality estimates for neonates and children aged 1-59 months, stratified by level (low, moderate, or high) of mortality. We made a substantial change in the statistical methods used for previous estimates, transitioning to a Bayesian framework that includes a structure to account for unreported causes in verbal autopsy studies. We also used systematic covariate selection in the multinomial framework, gave more weight to nationally representative verbal autopsy studies using a random effects model, and included mortality due to tuberculosis. FINDINGS: In 2019, there were 5·30 million deaths (95% uncertainty range 4·92-5·68) among children younger than 5 years, primarily due to preterm birth complications (17·7%, 16·1-19·5), lower respiratory infections (13·9%, 12·0-15·1), intrapartum-related events (11·6%, 10·6-12·5), and diarrhoea (9·1%, 7·9-9·9), with 49·2% (47·3-51·9) due to infectious causes. Vaccine-preventable deaths, such as for lower respiratory infections, meningitis, and measles, constituted 21·7% (20·4-25·6) of under-5 deaths, and many other causes, such as diarrhoea, were preventable with low-cost interventions. Under-5 mortality has declined substantially since 2000, primarily because of a decrease in mortality due to lower respiratory infections, diarrhoea, preterm birth complications, intrapartum-related events, malaria, and measles. There is considerable variation in the extent and trends in cause-specific mortality across regions and for different strata of all-cause under-5 mortality. INTERPRETATION: Progress is needed to improve child health and end preventable deaths among children younger than 5 years. Countries should strategize how to reduce mortality among this age group using interventions that are relevant to their specific causes of death. FUNDING: Bill & Melinda Gates Foundation; WHO.

Características e tendência temporal das taxas de mortalidade de crianças e adolescentes em Mato Grosso e no Brasil, 2009 a 2020 / Características y tendencia temporal de la mortalidad en niños y adolescentes en Mato Grosso y Brasil, 2009 a 2020 / Characteristics and temporal trends of mortality rates in children and adolescents in Mato Grosso and Brazil, 2009-2020

Objetivo: analisar as características e a tendência temporal das taxas de mortalidade na população de 5 a 14 anos em Mato Grosso e no Brasil, no período de 2009 a 2020. Métodos: estudo ecológico de série temporal, sobre dados do Sistema de Informação sobre Mortalidade. As análises foram descritivas e de tendência, utilizando-se o modelo de regressão por pontos de inflexão (joinpoint) com cálculo da variação média no período (VMP). Resultados: no Brasil e em Mato Grosso, os óbitos foram predominantemente masculinos, evitáveis e por causas externas. Foi identificada tendência decrescente no Brasil (5 a 9 anos VMP: -2,9; IC95% -4,3;-1,6 e 10 a 14 anos VMP: -2,5; IC95% -3,3;-1,8) e estacionária em Mato Grosso (5 a 9 anos VMP: -2,0; IC95% -5,6;1,7 e 10 a 14 anos VMP: -0,1; IC95% -5,9;6,1). Conclusão: a tendência estável da mortalidade em patamares elevados demanda intervenções urgentes, visando a sua redução.

Objetivo: analizar las características y la tendencia temporal de las tasas de mortalidad en la población de 5 a 14 años en Mato Grosso y Brasil, desde 2009 hasta 2020. Métodos: estudio ecológico de serie temporal, sobre datos del Sistema de Información de Mortalidad. Se realizaron análisis descriptivos y de tendencia, utilizando el modelo de regresión por puntos de inflexión (joinpoint) y el cálculo de la variación media del periodo (VMP). Resultados: en Brasil y Mato Grosso, las muertes fueron predominantemente masculinas, evitables y por causas externas. Se identificó una tendencia decreciente en Brasil (5 a 9 años VPP: -2,9; IC95% -4,3;-1,6 y 10 a 14 años VMP: -2,5; IC95% -3,3;-1,8) y una tendencia estacionaria en Mato Grosso (5 a 9 años VMP: -2,0; IC95% -5,6;1,7 y 10 a 14 años VMP: -0,1; IC95% -5,9;6,1). Conclusión: la tendencia estacionaria de la mortalidad en niveles altos exige intervenciones urgentes orientadas a reducirla.

Objective: to analyze the characteristics and temporal trend of mortality rates in the population aged 5 to 14 years in Mato Grosso state and in Brazil, from 2009 to 2020. Methods: this was an ecological time-series study, based on data taken from the Mortality Information System. Descriptive and trend analyses were performed, using the joinpoint regression model and calculating the average annual percentage change (AAPC). Results: in Brazil and in Mato Grosso state, deaths were predominantly male, preventable and due to external causes. A falling trend was identified for Brazil (5-9 years AAPC: -2.9; 95%CI -4.3;-1.6 and 10-14 years AAPC: -2.5; 95%CI -3.3;-1.8), while a stationary trend was found in Mato Grosso (5-9 years AAPC: -2.0; 95%CI -5.6;1.7 and 10-14 years AAPC: -0.1; 95%CI -5.9;6.1). Conclusion: the stable trend of mortality at high levels demands urgent interventions to reduce it.

Estimation of health impact from digitalizing last-mile Logistics Management Information Systems (LMIS) in Ethiopia, Tanzania, and Mozambique: A Lives Saved Tool (LiST) model analysis.

BACKGROUND: Digital health has become a widely recognized approach to addressing a range of health needs, including advancing universal health coverage and achieving the Sustainable Development Goals. At present there is limited evidence on the impact of digital interventions on health outcomes. A growing body of peer-reviewed evidence on digitalizing last-mile electronic logistics management information systems (LMIS) presents an opportunity to estimate health impact. METHODS: The impact of LMIS on reductions in stockouts was estimated from primary data and peer-reviewed literature, with three scenarios of impact: 5% stockout reduction (conservative), 10% stockout reduction (base), and 15% stockout reduction (optimistic). Stockout reduction data was inverted to stock availability and improved coverage for vaccines and essential medicines using a 1:1 conversion factor. The Lives Saved Tool (LiST) model was used to estimate health impact from lives saved in newborns and children in Mozambique, Tanzania, and Ethiopia between 2022 and 2026 across the three scenarios. RESULTS: Improving coverage of vaccines with a digital LMIS intervention in the base scenario (conservative, optimistic) could prevent 4,924 (2,578-6,094), 3,998 (1,621-4,915), and 17,648 (12,656-22,776) deaths in Mozambique, Tanzania, and Ethiopia, respectively over the forecast timeframe. In addition, scaling up coverage of non-vaccine medications could prevent 17,044 (8,561-25,392), 21,772 (10,976-32,401), and 34,981 (17,543-52,194) deaths in Mozambique, Tanzania, and Ethiopia, respectively. In the base model scenario, the maximum percent reduction in deaths across all geographies was 1.6% for vaccines and 4.1% for non-vaccine medications. INTERPRETATION: This study projects that digitalization of last-mile LMIS would reduce child mortality by improving coverage of lifesaving health commodities. This analysis helps to build the evidence base around the benefits of deploying digital solutions to address health challenges. Findings should be interpreted carefully as stockout reduction estimates are derived from a small number of studies.

Azithromycin for the prevention of rehospitalisation and death among Kenyan children being discharged from hospital: a double-blind, placebo-controlled, randomised controlled trial.

BACKGROUND: Mass drug administration of azithromycin to children in sub-Saharan Africa has been shown to improve survival in high-mortality settings. The period after hospital discharge is a time of elevated risk unaddressed by current interventions and might provide an opportunity for targeting empirical azithromycin administration. We aimed to assess the efficacy of azithromycin administered at hospital discharge on risk of death and rehospitalisation in Kenyan children younger than 5 years. METHODS: In this double-blind, placebo-controlled randomised trial, children were randomly assigned (1:1) to receive a 5-day course of azithromycin (oral suspension 10 mg/kg on day 1, followed by 5mg/kg per day on days 2-5) or identically appearing and tasting placebo at discharge from four hospitals in western Kenya. Children were eligible if they were aged 1-59 months at hospital discharge, weighed at least 2 kg, and had been admitted to hospital for any medical reason other than trauma, poisoning, or congenital anomaly. The primary outcome was death or rehospitalisation in the subsequent 6-month period in a modified intention-to-treat population, compared by randomisation group with Cox proportional hazards regression and Kaplan-Meier. Azithromycin resistance in Escherichia coli isolates from a random subset of children was compared by randomisation group with generalised estimating equations. This trial is registered with ClinicalTrials.gov, NCT02414399. FINDINGS: Between June 28, 2016, and Nov 4, 2019, 1400 children were enrolled in the trial at discharge from hospital, with 703 (50·2%) randomly assigned to azithromycin and 697 (49·8%) to placebo. Among the 1398 children included in the modified intention-to-treat analysis (702 in the azithromycin group and 696 in the placebo group), the incidence of death or rehospitalisation was 20·4 per 100 child-years in the azithromycin group and 22·5 per 100 child-years in the placebo group (adjusted hazard ratio 0·91, 95·5% CI 0·64-1·29, p=0·58). Azithromycin resistance was common in commensal E coli isolates from enrolled children before randomisation (37·7% of 406 isolates) despite only 3·7% of children having received a macrolide antibiotic during the hospitalisation. Azithromycin resistance was slightly higher at 3 months after randomisation in the azithromycin group (26·9%) than in the placebo group (19·1%; adjusted prevalence ratio 1·41, 95% CI 0·95-2·09, p=0·088), with no difference observed at 6 months (1·17, 0·78-1·76, p=0·44). INTERPRETATION: We did not observe a significant benefit of a 5-day course of azithromycin delivered to children younger than 5 years at hospital discharge despite the overall high risk of mortality and rehospitalisation. These findings highlight the need for more research into mechanisms and interventions for prevention of morbidity and mortality in the post-discharge period. FUNDING: Eunice Kennedy Shriver National Institute of Child Health & Human Development.