Identifying measures for coverage of nutrition-sensitive social protection programs: Learnings from India.

Optimal child growth requires a combination of nutrition-specific and sensitive interventions in the first 1,000 days. There is limited guidance on how to measure the population-level coverage of nutrition-sensitive social protection (NSSP), which is designed with explicit nutrition goals and often provides food or cash transfers and co-coverage with nutrition and health intervention. In this study in India, we designed a questionnaire that captures seven core NSSP program elements (transfer type, size, modality, population, timing, provider, conditionalities), then used cognitive testing to refine the questionnaire, and then implemented the questions as part of a telephone survey. Cognitive testing indicated variability in understanding the terms used to specify NSSP programs, including the need to use regional program names. Respondents also had difficulty recalling the timing of the benefit receipt. We included the refined NSSP coverage questions in a phone-based survey with 6,627 mothers with children <2 years across six states. Coverage of subsidized food was 73% across all households. Women were more likely to report receiving food than cash transfers during pregnancy (89% vs. 60%) and during lactation (75% vs. 13%). Co-coverage of NSSP with nutrition and health interventions during pregnancy (16%) and early childhood (3%) was low. It was feasible to measure coverage of NSSP investments in these populations; however, further research is needed to comprehensively assess all the dimensions of the NSSP benefits, including benefit adequacy and the validity of these questions when administered in person and by phone.

Climate shocks and nutrition: The role of food security policies and programs in enhancing maternal and neonatal survival in Niger.

Niger is afflicted with high rates of poverty, high fertility rates, frequent environmental crises, and climate change. Recurrent droughts and floods have led to chronic food insecurity linked to poor maternal and neonatal nutrition outcomes in vulnerable regions. We analyzed maternal and neonatal nutrition trends and subnational variability between 2000 and 2021 with a focus on the implementation of policies and programs surrounding two acute climate shocks in 2005 and 2010. We used four sources of data: (a) national household surveys for maternal and newborn nutritional indicators allowing computation of trends and differences at national and regional levels; (b) document review of food security reports; (c) 30 key informant interviews and; (d) one focus group discussion. Many food security policies and nutrition programs were enacted from 2000 to 2020. Gains in maternal and neonatal nutrition indicators were more significant in targeted vulnerable regions of Maradi, Zinder, Tahoua and Tillabéri, from 2006 to 2021. However, poor access to financial resources for policy execution and suboptimal implementation of plans have hindered progress. In response to the chronic climate crisis over the last 20 years, the Nigerien government and program implementers have demonstrated their commitment to reducing food insecurity and enhancing resilience to climate shocks by adopting a deliberate multisectoral effort. However, there is more that can be achieved with a continued focus on vulnerable regions to build resilience, targeting high risk populations, and investing in infrastructure to improve health systems, food systems, agriculture systems, education systems, and social protection.

The effects of armed conflict on the health of women and children.

Women and children bear substantial morbidity and mortality as a result of armed conflicts. This Series paper focuses on the direct (due to violence) and indirect health effects of armed conflict on women and children (including adolescents) worldwide. We estimate that nearly 36 million children and 16 million women were displaced in 2017, on the basis of international databases of refugees and internally displaced populations. From geospatial analyses we estimate that the number of non-displaced women and children living dangerously close to armed conflict (within 50 km) increased from 185 million women and 250 million children in 2000, to 265 million women and 368 million children in 2017. Women's and children's mortality risk from non-violent causes increases substantially in response to nearby conflict, with more intense and more chronic conflicts leading to greater mortality increases. More than 10 million deaths in children younger than 5 years can be attributed to conflict between 1995 and 2015 globally. Women of reproductive ages living near high intensity conflicts have three times higher mortality than do women in peaceful settings. Current research provides fragmentary evidence about how armed conflict indirectly affects the survival chances of women and children through malnutrition, physical injuries, infectious diseases, poor mental health, and poor sexual and reproductive health, but major systematic evidence is sparse, hampering the design and implementation of essential interventions for mitigating the harms of armed conflicts.

Suicidal behaviours among adolescents from 90 countries: a pooled analysis of the global school-based student health survey.

BACKGROUND: Understanding the burden and determinants of suicide during adolescence is key to achieving global health goals. We examined the prevalence and determinants of self-reported suicidal ideation and attempts among younger (13-15 years) and older adolescents (16-17 years). METHODS: Pooled prevalence estimates with 95% confidence interval, were calculated for suicide ideation and attempts for 118 surveys from 90 countries that administered the Global School-based Student Health Survey (GSHS) to adolescents (13-17 years of age) from 2003 to 2017. Indicators (including individual and social factors) associated with suicidal ideation and attempts were determined from multivariable linear regressions on key outcomes. RESULTS: The prevalence of suicidal ideation representing 397,299 adolescents (51.3% female) was significantly higher among girls than boys whereas attempts did not differ by age or sex. Being bullied, or having no close friends was associated with suicidal ideation among girls 13-15 years and 16-17 years, respectively. Among all boys, being in a fight and having no close friends was associated with suicidal ideation with the addition of serious injury for boys 13-15 years. Common to all younger adolescents was an association of suicide attempt with being bullied and having had a serious injury. Among young boys, having no close friends was an additional indicator for suicide attempt. Having no close friends was associated with suicide attempt in older adolescents with the addition to being bullied in older girls and serious injury in older boys. CONCLUSIONS: Building positive social relationships with peers and avoiding serious injury appear key to suicide prevention strategies for vulnerable adolescents. Targeted programs by age group and sex for such indicators could improve mental health during adolescence in low and middle-income countries, given the diverse risk profiles for suicidal ideation and attempts.

Status and drivers of maternal, newborn, child and adolescent health in the Islamic world: a comparative analysis.

BACKGROUND: The Millennium Development Goal (MDG) period saw dramatic gains in health goals MDG 4 and MDG 5 for improving child and maternal health. However, many Muslim countries in the south Asian, Middle Eastern, and African regions lagged behind. In this study, we aimed to evaluate the status of, progress in, and key determinants of reproductive, maternal, newborn, child, and adolescent health in Muslim majority countries (MMCs). The specific objectives were to understand the current status and progress in reproductive, maternal, newborn, child, and adolescent health in MMCs, and the determinants of child survival among the least developed countries among the MMCs; to explore differences in outcomes and the key contextual determinants of health between MMCs and non-MMCs; and to understand the health service coverage and contextual determinants that differ between best and poor or moderate performing MMCs. METHODS: In this country-level ecological study, we examined data from between 1990 and 2015 from multiple publicly available data repositories. We examined 47 MMCs, of which 26 were among the 75 high-burden Countdown to 2015 countries. These 26 MMCs were compared with 48 non-Muslim Countdown countries. We also examined characteristics of the eight best performing MMCs that had accelerated improvement in child survival (ie, that reached their MDG 4 targets). We estimated adolescent, maternal, under-5, and newborn mortality, and stillbirths, and the causes of death, essential interventions coverage, and contextual determinants for all MMCs and comparative groups using standardised methods. We also did a hierarchical multivariable analysis of determinants of under-5 mortality and newborn mortality in low-income and middle-income MMCs. FINDINGS: Despite notable reductions between 1990 and 2015, MMCs compared with a global esimate of all countries including MMCs had higher mortality rates, and MMCs relative to non-MMCs within Countdown countries also performed worse. Coverage of essential interventions across the continuum of care was on average lower among MMCs, especially for indicators of reproductive health, prenatal care, delivery, and labour, and childhood vaccines. Outcomes within MMCs for mortality and many reproductive, maternal, newborn, child, and adolescent health indicators varied considerably. Structural and contextual factors, especially state governance, conflict, and women and girl's empowerment indicators, were significantly worse in MMCs compared with non-MMCs within the high-burden Countdown countries, and were shown to be strongly associated with child and newborn mortality within low-income and middle-income MMCs. In adjusted hierarchical models, among other factors, under-5 mortality in MMCs increased with more refugees originating from a country (ß=23·67, p=0·0116), and decreased with better political stability or absence of terrorism (ß=-0·99, p=0·0285), greater political rights or government effectiveness (ß=-1·17, p<0·0001), improvements in log gross national income per capita (ß=-4·44, p<0·0001), higher total adult literacy (ß=-1·69, p<0·0001), higher female adult literacy (ß=-0·97, p<0·0001), and greater female to male enrolment in secondary school (ß=-16·1, p<0·0001). The best performing MMCs were Azerbaijan, Bangladesh, Egypt, Indonesia, Kyrgyzstan, Morocco, Niger, and Senegal, which had higher coverage of family planning interventions and newborn or child vaccinations, and excelled in many of the above contextual determinants when compared with moderate or poorly performing MMCs. INTERPRETATION: The status and progress in reproductive, maternal, newborn, child, and adolescent health is heterogeneous among MMCs, with little indication that religion and its practice affects outcomes systemically. Some Islamic countries such as Niger and Bangladesh have made great progress, despite poverty. Key findings from this study have policy and programmatic implications that could be prioritised by national heads of state and policy makers, development partners, funders, and the Organization of the Islamic Cooperation to scale up and improve these health outcomes in Muslim countries in the post-2015 era. FUNDING: US Fund for UNICEF under the Countdown to 2015 for Maternal, Newborn, and Child Survival, the Centre for Global Child Health, Hospital for Sick Children, and the Aga Khan University.

Risk stratification of immunocompromised children, including pediatric transplant recipients at risk of severe respiratory syncytial virus disease.

BACKGROUND: Respiratory syncytial virus (RSV) infection is associated with increased morbidity and mortality in immunocompromised patients. Our goal was to develop a framework for risk stratifying immunocompromised patients, including transplant patients, for RSV prophylaxis. METHODS: Risk factors for severe RSV disease in immunocompromised patients were identified in the literature and by an expert panel via survey. Experts assigned a probability of developing severe disease (0 to 100 scale) to the risk factors for each immunocompromised population. The results were validated using a clinical dataset. Linear mixed models adjusted for within-expert clustering of ranks were used to estimate average scores, and differences were tested using paired t tests. Logistic regression was utilized to identify important determinants of severe RSV disease. RESULTS: The survey was emailed to twenty-seven experts and thirteen responded (48%). Across all transplant groups, age <2 years (mean 77.1, 95% CI 71.7, 82.5) and day care attendance (mean 72.8, 95% CI 67.3, 78.3) were assigned the highest risk of severe disease. The highest risk groups were lung transplant recipients (mean 73.2, 95% CI 67.6, 78.8), combined lung and heart transplant recipients (mean 75.2, 95% CI 69.6, 80.7), allogeneic stem cell transplant (mean 76.0, 95% CI 70.4, 81.6), and severe combined immunodeficiency (mean 74.7, 95% CI 69.1, 80.3). CONCLUSION: The results provide a logical validity to current practice and provide guidance for prioritizing patients to receive prophylactic agents to prevent severe RSV disease. The results will facilitate the development of a risk stratification tool for RSV prophylaxis for immunocompromised patients.

Equity dimensions of the availability and quality of reproductive, maternal and neonatal health services in Zambia.

OBJECTIVE: To assess how quality and availability of reproductive, maternal, neonatal (RMNH) services vary by district wealth and urban/rural status in Zambia. METHODS: We conducted a retrospective analysis of data from the Millennium Development Goal Acceleration Initiative baseline assessment of 117 health facilities in 9 districts. Quality was assessed through a composite score of 23 individual RMNH indicators, ranging from 0 to 1. Availability was evaluated by density of providers and facilities. Districts were divided into wealth groups based on the multidimensional poverty index (MPI). Relative inequity was calculated using the concentration index for quality indicators (positive favours rich, negative favours poor). Multivariable linear regression was performed for the dependent variable composite quality indicator using MPI, urban/rural, and facility level of care as independent variables. RESULTS: 13 hospitals, 85 health centres and 19 health posts were included. The RMNH composite quality indicator was 0.64. Availability of facilities and providers was universally low. The concentration index for the composite quality indicator was -0.015 [-0.043, 0.013], suggesting no clustering to favour either rich or poor districts. Rich districts had the highest absolute numbers of health facilities and providers, but lowest numbers per facility per 1 000 000 population. Urban districts had slightly better service quality, but not availability. Using regression analysis, only facility level of care was significantly associated with quality outcome. CONCLUSIONS: Composite quality of RMNH services did not vary by district wealth, but was slightly higher in urban districts. The availability data suggest that the higher population in richer districts outpaces health infrastructure.

Factors influencing performance by contracted non-state providers implementing a basic package of health services in Afghanistan.

BACKGROUND: In 2002 Afghanistan's Ministry of Public Health (MoPH) and its development partners initiated a new paradigm for the health sector by electing to Contract-Out (CO) the Basic Package of Health Services (BPHS) to non-state providers (NSPs). This model is generally regarded as successful, but literature is scarce that examines the motivations underlying implementation and factors influencing program success. This paper uses relevant theories and qualitative data to describe how and why contracting out delivery of primary health care services to NSPs has been effective. The main aim of this study was to assess the contextual, institutional, and contractual factors that influenced the performance of NSPs delivering the BPHS in Afghanistan. METHODS: The qualitative study design involved individual in-depth interviews and focus group discussions conducted in six provinces of Afghanistan, as well as a desk review. The framework for assessing key factors of the contracting mechanism proposed by Liu et al. was utilized in the design, data collection and data analysis. RESULTS: While some contextual factors facilitated the CO (e.g. MoPH leadership, NSP innovation and community participation), harsh geography, political interference and insecurity in some provinces had negative effects. Contractual factors, such as effective input and output management, guided health service delivery. Institutional factors were important; management capacity of contracted NSPs affects their ability to deliver outcomes. Effective human resources and pharmaceutical management were notable elements that contributed to the successful delivery of the BPHS. The contextual, contractual and institutional factors interacted with each other. CONCLUSION: Three sets of factors influenced the implementation of the BPHS: contextual, contractual and institutional. The MoPH should consider all of these factors when contracting out the BPHS and other functions to NSPs. Other fragile states and countries emerging from a period of conflict could learn from Afghanistan's example in contracting out primary health care services, keeping in mind that generic or universal contracting policies might not work in all geographical areas within a country or between countries.

Global Mortality From Firearms, 1990-2016.

Importance: Understanding global variation in firearm mortality rates could guide prevention policies and interventions. Objective: To estimate mortality due to firearm injury deaths from 1990 to 2016 in 195 countries and territories. Design, Setting, and Participants: This study used deidentified aggregated data including 13 812 location-years of vital registration data to generate estimates of levels and rates of death by age-sex-year-location. The proportion of suicides in which a firearm was the lethal means was combined with an estimate of per capita gun ownership in a revised proxy measure used to evaluate the relationship between availability or access to firearms and firearm injury deaths. Exposures: Firearm ownership and access. Main Outcomes and Measures: Cause-specific deaths by age, sex, location, and year. Results: Worldwide, it was estimated that 251 000 (95% uncertainty interval [UI], 195 000-276 000) people died from firearm injuries in 2016, with 6 countries (Brazil, United States, Mexico, Colombia, Venezuela, and Guatemala) accounting for 50.5% (95% UI, 42.2%-54.8%) of those deaths. In 1990, there were an estimated 209 000 (95% UI, 172 000 to 235 000) deaths from firearm injuries. Globally, the majority of firearm injury deaths in 2016 were homicides (64.0% [95% UI, 54.2%-68.0%]; absolute value, 161 000 deaths [95% UI, 107 000-182 000]); additionally, 27% were firearm suicide deaths (67 500 [95% UI, 55 400-84 100]) and 9% were unintentional firearm deaths (23 000 [95% UI, 18 200-24 800]). From 1990 to 2016, there was no significant decrease in the estimated global age-standardized firearm homicide rate (-0.2% [95% UI, -0.8% to 0.2%]). Firearm suicide rates decreased globally at an annualized rate of 1.6% (95% UI, 1.1-2.0), but in 124 of 195 countries and territories included in this study, these levels were either constant or significant increases were estimated. There was an annualized decrease of 0.9% (95% UI, 0.5%-1.3%) in the global rate of age-standardized firearm deaths from 1990 to 2016. Aggregate firearm injury deaths in 2016 were highest among persons aged 20 to 24 years (for men, an estimated 34 700 deaths [95% UI, 24 900-39 700] and for women, an estimated 3580 deaths [95% UI, 2810-4210]). Estimates of the number of firearms by country were associated with higher rates of firearm suicide (P < .001; R2 = 0.21) and homicide (P < .001; R2 = 0.35). Conclusions and Relevance: This study estimated between 195 000 and 276 000 firearm injury deaths globally in 2016, the majority of which were firearm homicides. Despite an overall decrease in rates of firearm injury death since 1990, there was variation among countries and across demographic subgroups.

Burden of musculoskeletal disorders in the Eastern Mediterranean Region, 1990-2013: findings from the Global Burden of Disease Study 2013.

OBJECTIVES: We used findings from the Global Burden of Disease Study 2013 to report the burden of musculoskeletal disorders in the Eastern Mediterranean Region (EMR). METHODS: The burden of musculoskeletal disorders was calculated for the EMR's 22 countries between 1990 and 2013. A systematic analysis was performed on mortality and morbidity data to estimate prevalence, death, years of live lost, years lived with disability and disability-adjusted life years (DALYs). RESULTS: For musculoskeletal disorders, the crude DALYs rate per 100 000 increased from 1297.1 (95% uncertainty interval (UI) 924.3-1703.4) in 1990 to 1606.0 (95% UI 1141.2-2130.4) in 2013. During 1990-2013, the total DALYs of musculoskeletal disorders increased by 105.2% in the EMR compared with a 58.0% increase in the rest of the world. The burden of musculoskeletal disorders as a proportion of total DALYs increased from 2.4% (95% UI 1.7-3.0) in 1990 to 4.7% (95% UI 3.6-5.8) in 2013. The range of point prevalence (per 1000) among the EMR countries was 28.2-136.0 for low back pain, 27.3-49.7 for neck pain, 9.7-37.3 for osteoarthritis (OA), 0.6-2.2 for rheumatoid arthritis and 0.1-0.8 for gout. Low back pain and neck pain had the highest burden in EMR countries. CONCLUSIONS: This study shows a high burden of musculoskeletal disorders, with a faster increase in EMR compared with the rest of the world. The reasons for this faster increase need to be explored. Our findings call for incorporating prevention and control programmes that should include improving health data, addressing risk factors, providing evidence-based care and community programmes to increase awareness.

Perceived reciprocal value of health professionals' participation in global child health-related work.

BACKGROUND: Leading children's hospitals in high-income settings have become heavily engaged in international child health research and educational activities. These programs aim to provide benefit to the institutions, children and families in the overseas locations where they are implemented. Few studies have measured the actual reciprocal value of this work for the home institutions and for individual staff who participate in these overseas activities. Our objective was to estimate the perceived reciprocal value of health professionals' participation in global child health-related work. Benefits were measured in the form of skills, knowledge and attitude strengthening as estimated by an adapted Global Health Competency Model. METHODS: A survey questionnaire was developed following a comprehensive review of literature and key competency models. It was distributed to all health professionals at the Hospital for Sick Children with prior international work experience (n = 478). RESULTS: One hundred fifty six health professionals completed the survey (34%). A score of 0 represented negligible value gained and a score of 100 indicated significant capacity improvement. The mean respondent improvement score was 57 (95% CI 53-62) suggesting improved overall competency resulting from their international experiences. Mean scores were >50% in 8 of 10 domains. Overall scores suggest that international work brought value to the hospital and over half responded that their international experience would influence their decision to stay on at the hospital. CONCLUSIONS: The findings offer tangible examples of how global child health work conducted outside of one's home institution impacts staff and health systems locally.

Coverage and inequalities in maternal and child health interventions in Afghanistan.

BACKGROUND: Afghanistan has made considerable gains in improving maternal and child health and survival since 2001. However, socioeconomic and regional inequities may pose a threat to reaching universal coverage of health interventions and further health progress. We explored coverage and socioeconomic inequalities in key life-saving reproductive, maternal, newborn and child health (RMNCH) interventions at the national level and by region in Afghanistan. We also assessed gains in child survival through scaling up effective community-based interventions across wealth groups. METHODS: Using data from the Afghanistan Multiple Indicator Cluster Survey (MICS) 2010/11, we explored 11 interventions that spanned all stages of the continuum of care, including indicators of composite coverage. Asset-based wealth quintiles were constructed using standardised methods, and absolute inequalities were explored using wealth quintile (Q) gaps (Q5-Q1) and the slope index of inequality (SII), while relative inequalities were assessed with ratios (Q5/Q1) and the concentration index (CIX). The lives saved tool (LiST) modeling used to estimate neonatal and post-neonatal deaths averted from scaling up essential community-based interventions by 90 % coverage by 2025. Analyses considered the survey design characteristics and were conducted via STATA version 12.0 and SAS version 9.4. RESULTS: Our results underscore significant pro-rich socioeconomic absolute and relative inequalities, and mass population deprivation across most all RMNCH interventions studied. The most inequitable are antenatal care with a skilled attendant (ANCS), skilled birth attendance (SBA), and 4 or more antenatal care visits (ANC4) where the richest have between 3.0 and 5.6 times higher coverage relative to the poor, and Q5-Q1 gaps range from 32 % - 65 %. Treatment of sick children and breastfeeding interventions are the most equitably distributed. Across regions, inequalities were highest in the more urbanised East, West and Central regions of the country, while they were lowest in the South and Southeast. About 7700 newborns and 26,000 post-neonates could be saved by scaling up coverage of community outreach interventions to 90 %, with the most gains in the poorest quintiles. CONCLUSIONS: Afghanistan is a pervasively poor and conflict-prone nation that has only recently experienced a decade of relative stability. Though donor investments during this period have been plentiful and have contributed to rebuilding of health infrastructure in the country, glaring inequities remain. A resolution to scaling up health coverage in insecure and isolated regions, and improving accessibility for the poorest and marginalised populations, should be at the forefront of national policy and programming efforts.

Countdown to 2015 country case studies: what can analysis of national health financing contribute to understanding MDG 4 and 5 progress?

BACKGROUND: Countdown to 2015 (Countdown) supported countries to produce case studies that examine how and why progress was made toward the Millennium Development Goals (MDGs) 4 and 5. Analysing how health-financing data explains improvements in RMNCH outcomes was one of the components to the case studies. METHODS: This paper presents a descriptive analysis on health financing from six Countdown case studies (Afghanistan, Ethiopia, Malawi, Pakistan, Peru, and Tanzania), supplemented by additional data from global databases and country reports on macroeconomic, health financing, demographic, and RMNCH outcome data as needed. It also examines the effect of other contextual factors presented in the case studies to help interpret health-financing data. RESULTS: Dramatic increases in health funding occurred since 2000, where the MDG agenda encouraged countries and donors to invest more resources on health. Most low-income countries relied on external support to increase health spending, with an average 20-64 % of total health spending from 2000 onwards. Middle-income countries relied more on government and household spending. RMNCH funding also increased since 2000, with an average increase of 119 % (2005-2010) for RMNH expenditures (2005-2010) and 165 % for CH expenditures (2005-2011). Progress was made, especially achieving MDG 4, even with low per capita spending; ranging from US$16 to US$44 per child under 5 years among low-income countries. Improvements in distal factors were noted during the time frame of the analysis, including rapid economic growth in Ethiopia, Peru, and Tanzania and improvements in female literacy as documented in Malawi, which are also likely to have contributed to MDG progress and achievements. CONCLUSIONS: Increases in health and RMNCH funding accompanied improvements in outcomes, though low-income countries are still very reliant on external financing, and out-of-pocket comprising a growing share of funds in middle-income settings. Enhancements in tracking RMNCH expenditures across countries are still needed to better understand whether domestic and global health financing initiatives lead to improved outcomes as RMNCH continues to be a priority under the Sustainable Development Goals.

Oral microbiome composition changes in mouse models of colitis.

BACKGROUND AND AIM: Oral mucosal pathologies are frequent in inflammatory bowel disease (IBD). Since host-microbiome interactions are implicated in the pathogenesis of IBD, in this study the potential for changes affecting the oral microbiome was evaluated using two complementary mouse models of colitis: either chemically (dextran sulfate sodium) or with Citrobacter rodentium infection. METHODS: After sacrifice, the tongue, buccal mucosa, saliva, colon, and stool samples were collected for analyses. Denaturing gradient gel electrophoresis was performed to assess bacterial 16S rRNA gene profiles. Relative changes were determined using quantitative polymerase chain reaction analysis for the phyla Bacteroidetes, Firmicutes, Spirochetes, and Actinobacteria, classes Gammaproteobacteria and Betaproteobacteria, and the genera Bacillus and Lactobacillus. These groups represent over 99% of the oral microbiota of healthy C57BL/6 mice. RESULTS: Both models of colitis changed the oral microbiome, with the buccal microbiome being the most resistant to alterations in composition (maximum 1.8% change, vs tongue maximum 2.5% change, and saliva which demonstrated up to 7.2% total changes in microbiota composition). Changes in the oral microbiota were greater after dextran sulfate sodium challenge, compared with C. rodentium-induced colitis. Using cluster analysis, tongue and buccal mucosal microbiota composition changed ∼ 5%, saliva ∼ 35%, while stool changed ∼ 10%. CONCLUSION: These findings indicate that dysbiosis observed in murine models of colitis is associated with changes in the composition of bacteria present in the oral cavity and in saliva. Such changes in the oral microbiota could be relevant to the etiology and management of oral mucosal pathologies observed in IBD patients.

Drivers of success in global health outcomes: A content analysis of Exemplar studies.

Applying a positive outlier lens is one effective approach for generating evidence to inform global health policy, program, and funding decisions. Exemplars in Global Health (EGH) is a program that studies positive outlier countries that have made extraordinary progress in health outcomes (despite limited resources) and disseminates their successes through multiple types of outputs. To date, EGH has studied, or is studying, 14 global health topics in 28 countries. This paper aims to identify findings, summarized as themes and sub-themes, that appear among all completed EGH studies. We developed a conceptual framework and used a content analysis approach to identify the top thematic areas that appear as drivers for programmatic success across EGH studies that were completed between June 2020-May 2023. The EGH studies (N = 31) spanned six topics including under-five child mortality (n = 6), childhood stunting (n = 5), community health workers (CHW) (n = 4), vaccine delivery (n = 3), COVID-19 response (n = 6), and newborn and maternal mortality reduction (n = 7) across 19 countries in sub-Saharan Africa, Latin America, South and Central Asia, and the Caribbean regions. Top drivers of success were defined as those critical or catalytic in achieving the intended outcome. Eight key drivers were identified: (1) efficient data collection and use for decision-making, (2) strong political commitment and health leadership, (3) effective stakeholder coordination, (4) a local, connected, and capacitated workforce, (5) intentional women's empowerment and engagement, (6) effective adoption and implementation of national policies, (7) effective and sustainable financing, and (8) equitable, efficient outreach and targeting. These cross-cutting drivers span a broad range of development outcomes, sectors, and populations, and indicate a need to effectively integrate people, systems, and sectors to improve global health outcomes. Findings from this study aim to support peer learning among countries and support evidence-based decision-making for funders, policymakers, and other key stakeholders.

Effective multi-sectoral approach for rapid reduction in maternal and neonatal mortality: the exceptional case of Bangladesh.

BACKGROUND: Bangladesh experienced impressive reductions in maternal and neonatal mortality over the past several decades with annual rates of decline surpassing 4% since 2000. We comprehensively assessed health system and non-health factors that drove Bangladesh's success in mortality reduction. METHODS: We operationalised a comprehensive conceptual framework and analysed available household surveys for trends and inequalities in mortality, intervention coverage and quality of care. These include 12 household surveys totalling over 1.3 million births in the 15 years preceding the surveys. Literature and desk reviews permitted a reconstruction of policy and programme development and financing since 1990. These were supplemented with key informant interviews to understand implementation decisions and strategies. RESULTS: Bangladesh prioritised early population policies to manage its rapidly growing population through community-based family planning programmes initiated in mid-1970s. These were followed in the 1990s and 2000s by priority to increase access to health facilities leading to rapid increases in facility delivery, intervention coverage and access to emergency obstetric care, with large contribution from private facilities. A decentralised health system organisation, from communities to the central level, openness to private for-profit sector growth, and efficient financing allocation to maternal and newborn health enabled rapid progress. Other critical levers included poverty reduction, women empowerment, rural development, and culture of data generation and use. However, recent empirical data suggest a slowing down of mortality reductions. CONCLUSION: Bangladesh demonstrated effective multi-sectoral approach and persistent programming, testing and implementation to achieve rapid gains in maternal and neonatal mortality reduction. The slowing down of recent mortality trends suggests that the country will need to revise its strategies to achieve the Sustainable Development Goals. As fertility reached replacement level, further gains in maternal and neonatal mortality will require prioritising universal access to quality facility delivery, and addressing inequalities, including reaching the rural poor.

Challenges in reducing maternal and neonatal mortality in Niger: an in-depth case study.

INTRODUCTION: Recent modelled estimates suggest that Niger made progress in maternal mortality since 2000. However, neonatal mortality has not declined since 2012 and maternal mortality estimates were based on limited data. We researched the drivers of progress and challenges. METHODS: We reviewed two decades of health policies, analysed mortality trends from United Nations data and six national household surveys between 1998 and 2021 and assessed coverage and inequalities of maternal and newborn health indicators. Quality of care was evaluated from health facility surveys in 2015 and 2019 and emergency obstetric assessments in 2011 and 2017. We determined the impact of intervention coverage on maternal and neonatal lives saved between 2000 and 2020. We interviewed 31 key informants to understand the factors underpinning policy implementation. RESULTS: Empirical maternal mortality ratio declined from 709 to 520 per 100 000 live births during 2000-2011, while neonatal mortality rate declined from 46 to 23 per 1000 live births during 2000-2012 then increased to 43 in 2018. Inequalities in neonatal mortality were reduced across socioeconomic and demographic strata. Key maternal and newborn health indicators improved over 2000-2012, except for caesarean sections, although the overall levels were low. Interventions delivered during childbirth saved most maternal and newborn lives. Progress came from health centre expansion, emergency care and the 2006 fee exemptions policy. During the past decade, challenges included expansion of emergency care, continued high fertility, security issues, financing and health workforce. Social determinants saw minimal change. CONCLUSIONS: Niger reduced maternal and neonatal mortality during 2000-2012, but progress has stalled. Further reductions require strategies targeting comprehensive care, referrals, quality of care, fertility reduction, social determinants and improved security nationwide.

Concordance and determinants of mothers' and children's diets in Nigeria: an in-depth study of the 2018 Demographic and Health Survey.

OBJECTIVES: Improving the diversity of the diets in young children 6-23 months is a policy priority in Nigeria and globally. Studying the relationship between maternal and child food group intake can provide valuable insights for stakeholders designing nutrition programmes in low-income and middle-income countries. DESIGN: We examined the relationship between maternal and child dietary diversity among 8975 mother-child pairs using the Nigeria 2018 Demographic and Health Survey (DHS). We assessed concordance and discordance between maternal and child food group intake using the McNemar's χ2 test, and the determinants of child minimum dietary diversity (MDD-C) including women MDD (MDD-W) using hierarchical multivariable probit regression modelling. SETTING: Nigeria. PARTICIPANTS: 8975 mother-child pairs from the Nigeria DHS. PRIMARY AND SECONDARY OUTCOME MEASURES: MDD-C, MDD-W, concordance and discordance in the food groups consumed by mothers and their children. RESULTS: MDD increased with age for both children and mothers. Grains, roots and tubers had high concordance in mother-child dyads (90%); discordance was highest for legumes and nuts (36%), flesh foods (26%), and fruits and vegetables (39% for vitamin-A rich and 57% for other). Consumption of animal source food (dairy, flesh foods, eggs) was higher for dyads with older mothers, educated mothers and more wealthy mothers. Maternal MDD-W was the strongest predictor of MDD-C in multivariable analyses (coef 0.27; 95% CI 0.25 to 0.29, p<0.000); socioeconomic indicators including wealth (p<0.000), mother's education (p<0.000) were also statistically significant in multivariable analyses and rural residence (p<0.000) was statistically significant in bivariate analysis. CONCLUSION: Programming to address child nutrition should be aimed at the mother-child dyad as their food consumption patterns are related and some food groups appear to be withheld from children. Stakeholders including governments, development partners, non-governmental organizations, donors and civil society can act on these findings in their efforts to address undernutrition in the global child population.

Disability types, determinants and healthcare utilisation amongst Afghan adults: a secondary analysis of the Model Disability Survey of Afghanistan.

OBJECTIVES: The needs of people with disability in Afghanistan are not well understood. We describe the characteristics, healthcare utilisation patterns, and experience of care among Afghan adults with moderate or severe disability (MSD) by disability type. DESIGN: We mapped 47 questions related to functional disability in the cross-sectional Model Disability Survey of Afghanistan (MDSA) 2019 into 7 disability domains based on the WHO Disability Assessment Schedule 2.0. We conducted multivariable hierarchical logistic regression to identify drivers of high disability burden. SETTING: The MDSA primary sampling unit were villages in rural areas and neighbourhoods in urban areas, and the secondary sample units were the settlements within districts. PARTICIPANTS: The MDSA collected data for 14 520 households across all 34 provinces. The adult tool of the survey was administered to a randomly selected household member aged 18 years or older. MAIN OUTCOME MEASURES: The main outcome measured was moderate or severe disability (MSD), which was estimated using a Rasch composite score. RESULTS: MSD prevalence was upwards of 35% in 6/7 domains. Across most disability types, being a woman, older age, residing in rural areas, being uneducated, non-Pashtun ethnicity, being unmarried, living in a household in the low-income tertiles and a non-working household had the highest levels of MSD (p<0.05). Determinants of MSD varied by domain; however, variables including better access to health facilities and better experience of care (higher satisfaction with time spent and respect during visits) were generally protective. People with MSD in the self-care and life activities domains had the highest and lowest healthcare utilisation, respectively. CONCLUSIONS: Disability in Afghanistan is at public health crisis levels, with vulnerable populations being impacted most severely. To ensure progress towards Afghanistan's 2030 Sustainable Development Goals, targeted interventions for disability types based on population risk factors should be implemented.

The impact of the COVID-19 pandemic on trends in stillbirths, under-5 and maternal mortality in Brazil: Excess deaths and regional inequalities.

Background: Despite the proliferation of studies on the impact of the coronavirus disease 2019 (COVID-19) pandemic, there is less evidence on the indirect death toll compared to the health system and service provision disruptions. We assessed the impact of the COVID-19 pandemic on national and regional trends and differences in stillbirths, under-5 and maternal deaths in Brazil. Methods: We used the nationwide routine health information system data from January 2017 to December 2021, to which we applied descriptive and advanced mixed effects ordinary least squared regression models to measure the percent change in mortality levels during the COVID-19 pandemic (March 2020 to December 2021). We carried out counterfactual analyses comparing the observed and expected mortality levels for each type of mortality at national and regional levels. Results: Stillbirths increased 4.8% (3.1% in 2020 and 6.2% in 2021) and most noticeably maternal deaths increased 71.6% (35.3% in 2020 and 103.3% in 2021) over the COVID-19 period. An opposite pattern was observed in under-5 mortality, which dropped -10.2% (-12.5% in 2020 and -8.1% in 2021). We identified regional disparities, with a higher percent increase in stillbirths observed in the Central-West region and in maternal deaths in the South region. Discussion: Based on pre-pandemic trends and expected number of deaths in the absence of the COVID-19, we observed increases in stillbirths and maternal deaths and reductions in under-5 deaths during the pandemic. The months with the highest number of deaths (stillbirths and maternal deaths) coincided with the months with the highest mortality from COVID-19. The increase in deaths may also have resulted from indirect effects of the pandemic, such as unavailability of health services or even reluctance to go to the hospital when necessary due to fear of contagion. Conclusions: In Brazil, the COVID-19 outbreak and subsequent restrictions had a detrimental impact on stillbirths and maternal deaths. Even before the pandemic, mortality trends highlighted pre-existing regional inequalities in the country's health care system. Although there were some variations, increases were observed in all regions, indicating potential weaknesses in the health system and inadequate management during the pandemic, particularly concerning pregnant and postpartum women.