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.

Is child anemia associated with early childhood development? A cross-sectional analysis of nine Demographic and Health Surveys.

Anemia is a significant public health problem in many low- and middle-income countries (LMICs), with young children being especially vulnerable. Iron deficiency is a leading cause of anemia and prior studies have shown associations between low iron status/iron deficiency anemia and poor child development outcomes. In LMICs, 43% of children under the age of five years are at risk of not meeting their developmental potential. However, few studies have examined associations between anemia status and early childhood development (ECD) in large population-based surveys. We examined the associations between severe or moderate anemia and ECD domains (literacy-numeracy, physical, social-emotional, and learning) and an overall ECD index among children age 36-59 months. Nine Demographic and Health Surveys (DHS) from phase VII of The DHS Program (DHS-7) that included the ECD module and hemoglobin testing in children under age five years were used. Bivariate and multivariate logistic regressions were run for each of the five outcomes. Multivariate models controlled for early learning/interaction variables, child, maternal, and paternal characteristics, and socio-economic and household characteristics. Results showed almost no significant associations between anemia and ECD domains or the overall ECD index except for social-emotional development in Benin (AOR = 1.00 p < 0.05) and physical development in Maldives (AORs = 0.97 p < 0.05). Attendance at an early childhood education program was also significantly associated with the outcomes in many of the countries. Our findings reinforce the importance of the Nurturing Care Framework which describes a multi-sectoral approach to promote ECD in LMICs.

Estimating the prevalence of exclusive breastfeeding with data from household surveys: Measurement issues and options.

The importance of breastfeeding for infant and maternal health is well established. The World Health Organization recommends that all infants be exclusively breastfed until they reach 6 months of age. The standard indicator to measure adherence to this criterion is the percentage of children aged 0-5 months who are currently being exclusively breastfed. This paper proposes supplementary measures that are easily calculated with existing survey data. First, for an accurate assessment of the WHO recommendation, we estimate the percentage of infants who are being exclusively breastfed at the exact age of 6 months. Second, an adjustment is proposed for prelacteal feeding. These two modifications, separately and in combination, are applied to data from 31 low-and middle-income countries that have participated in the Demographic and Health Surveys Program since 2015. There is considerable variation in the effects across countries. The modifications use existing data to provide a more accurate estimate than the standard indicator of the achievement of the exclusive breastfeeding until 6 months recommendation.

The Demographic and Health Surveys Faculty Fellows Program: Successes, Challenges, and Lessons Learned.

Primarily funded by the United States Agency for International Development (USAID), the Demographic and Health Surveys (DHS) Faculty Fellows Program is designed to strengthen the institutional capacity of universities in low- and middle-income countries to use and analyze DHS data. This article provides an overview of the program's evolution and its current form; presents successes and impacts; and discusses challenges, lessons learned, and potential further directions.Initiated in 2008, the Fellows Program underwent several rounds of improvement. The current model involves a competitive team application process, 2 intensive in-person workshops, completion of a working paper of publishable quality, and the transfer of analysis skills learned during the fellowship to students and colleagues at home universities, all completed over 1 year. Since 2011, the Fellows Program has trained 152 researchers from 45 universities in 25 countries in Africa, Asia, and the Middle East. The program has not only strengthened individual skills in conducting research with data from large surveys but also substantially increased institutional capacity to analyze DHS data through fellows' capacity-building activities at their home universities. These successes have happened despite the many and continuing challenges related to fellows' diverse backgrounds, experience, skills, language barriers, logistical difficulties in organizing in-person workshops in fellows' countries, and sometimes fellows' varying levels of commitment.With continuous support from USAID, the program hopes to expand to more universities and countries, especially francophone countries. Overall, the DHS Faculty Fellows Program has proven to be highly successful and provides a model for other groups aiming to strengthen capacity for data use and research in low- and middle-income countries.

Initiation of Breastfeeding in Low- and Middle-Income Countries: A Time-to-Event Analysis.

OBJECTIVE: Early breastfeeding has numerous benefits for both the mother and her baby. Previous research typically analyzes breastfeeding initiation in binary terms (within the first hour or day). Although delays are associated with cesarean delivery and skin-to-skin contact may facilitate early breastfeeding, a more nuanced understanding of these relationships is needed. METHODS: With data from 31 countries that had a Demographic and Health Survey since 2015, we described breastfeeding initiation among babies most recently born in the last 2 years to women aged 15-49 years. In a subset of 21 countries, we conducted survival analysis with multivariable log-logistic accelerated failure time (AFT) regressions to examine factors associated with time to initiation of breastfeeding, specifically the mode of delivery and skin-to-skin contact, controlling for receipt of health care as well as socioeconomic and demographic characteristics of mothers and babies. FINDINGS: Babies in most countries began breastfeeding within a few hours after birth. The mean time to initiation of breastfeeding ranged from 1.7 hours in Burundi to 32 hours in Pakistan and 40 hours in Chad. In most countries (24 of 31), the median time was 0.5 hours. Median time to initiation was greater for births by cesarean delivery compared with vaginal births at health facilities. After controlling for covariates, AFT models showed significant delays in breastfeeding among cesarean deliveries in most countries, with as much as a 9-fold delay in Senegal. Immediate skin-to-skin contact was significantly associated with a shorter time to initiation. CONCLUSION: Efforts to promote early breastfeeding should encourage skin-to-skin and target cesarean deliveries.

Variance estimation for effective coverage measures: A simulation study.

BACKGROUND: Effective coverage research is increasing rapidly in global health and development, as researchers use a range of measures and combine data sources to adjust coverage for the quality of services received. However, most estimates of effective coverage that combine data sources are reported only as point estimates, which may be due to the challenge of calculating the variance for a composite measure. In this paper, we evaluate three methods to quantify the uncertainty in the estimation of effective coverage. METHODS: We conducted a simulation study to evaluate the performance of the exact, delta, and parametric bootstrap methods for constructing confidence intervals around point estimates that are calculated from combined data on coverage and quality. We assessed performance by computing the number of nominally 95% confidence intervals that contain the truth for a range of coverage and quality values and data source sample sizes. To illustrate these approaches, we applied the delta and exact methods to estimates of adjusted coverage of antenatal care (ANC) in Senegal. We used household survey data for coverage and health facility assessments for readiness to provide services. RESULTS: With small sample sizes, when the true effective coverage value was close to the boundaries 0 or 1, the exact and parametric bootstrap methods resulted in substantial over or undercoverage and, for the exact method, a high proportion of invalid confidence intervals, while the delta method yielded modest overcoverage. The proportion of confidence intervals containing the truth in all three methods approached the intended 95% with larger sample sizes and as the true effective coverage value moved away from the 0 or 1 boundary. Confidence intervals for adjusted ANC in Senegal were largely overlapping across the delta and exact methods, although at the sub-national level, the exact method produced invalid confidence intervals for estimates near 0 or 1. We provide the code to implement these methods. CONCLUSIONS: The uncertainty around an effective coverage estimate can be characterized; this should become standard practice if effective coverage estimates are to become part of national and global health monitoring. The delta method approach outperformed the other methods in this study; we recommend its use for appropriate inference from effective coverage estimates that combine data sources, particularly when either sample size is small. When used for estimates created from facility type or regional strata, these methods require assumptions of independence that must be considered in each example.

Effective coverage of facility delivery in Bangladesh, Haiti, Malawi, Nepal, Senegal, and Tanzania.

BACKGROUND: The persistence of preventable maternal and newborn deaths highlights the importance of quality of care as an essential element in coverage interventions. Moving beyond the conventional measurement of crude coverage, we estimated effective coverage of facility delivery by adjusting for facility preparedness to provide delivery services in Bangladesh, Haiti, Malawi, Nepal, Senegal, and Tanzania. METHODS: The study uses data from Demographic and Health Surveys (DHS) and Service Provision Assessments (SPA) in Bangladesh (2014 DHS and 2014 SPA), Haiti (2012 DHS and 2013 SPA), Malawi (2015-16 DHS and 2013-14 SPA), Nepal (2016 DHS and 2015 SPA), Senegal (2016 DHS and 2015 SPA), and Tanzania (2015-16 DHS and 2014-15 SPA). We defined effective coverage as the mathematical product of crude coverage and quality of care. The coverage of facility delivery was measured with DHS data and quality of care was measured with facility data from SPA. We estimated effective coverage at both the regional and the national level and accounted for type of facility where delivery care was sought. FINDINGS: The findings from the six countries indicate the effective coverage ranges from 24% in Haiti to 66% in Malawi, representing substantial reductions (20% to 39%) from crude coverage rates. Although Malawi has achieved almost universal coverage of facility delivery (93%), effective coverage was only 66%.vSuch gaps between the crude coverage and the effective coverage suggest that women delivered in health facility but did not necessarily receive an adequate quality of care. In all countries except Malawi, effective coverage differed substantially among the country's regions of the country, primarily due to regional variability in coverage. INTERPRETATION: Our findings reinforce the importance of quality of obstetric and newborn care to achieve further reduction of maternal and newborn mortality. Continued efforts are needed to increase the use of facility delivery service in countries or regions where coverage remains low.

Exclusive breastfeeding: aligning the indicator with the goal.

While the global objective is exclusive breastfeeding (EBF) for a full 6 months duration, the standard indicator is a "prevalence" indicator, that is, the percentage of all children under age 6 months who are exclusively breastfed at a point in time. That yields a higher percentage than a more direct indicator of duration and can be easily misunderstood, exaggerating the amount of EBF. A measurement of actual percentage of children exclusively breastfeeding for a full 6 months can be easily calculated from standard DHS and MICS data.

Plausible role for CHW peer support groups in increasing care-seeking in an integrated community case management project in Rwanda: a mixed methods evaluation.

BACKGROUND: The Kabeho Mwana project (2006-2011) supported the Rwanda Ministry of Health (MOH) in scaling up integrated community case management (iCCM) of childhood illness in 6 of Rwanda's 30 districts. The project trained and equipped community health workers (CHWs) according to national guidelines. In project districts, Kabeho Mwana staff also trained CHWs to conduct household-level health promotion and established supervision and reporting mechanisms through CHW peer support groups (PSGs) and quality improvement systems. METHODS: The 2005 and 2010 Demographic and Health Surveys were re-analyzed to evaluate how project and non-project districts differed in terms of care-seeking for fever, diarrhea, and acute respiratory infection symptoms and related indicators. We developed a logit regression model, controlling for the timing of the first CHW training, with the district included as a fixed categorical effect. We also analyzed qualitative data from the final evaluation to examine factors that may have contributed to improved outcomes. RESULTS: While there was notable improvement in care-seeking across all districts, care-seeking from any provider for each of the 3 conditions, and for all 3 combined, increased significantly more in the project districts. CHWs contributed a larger percentage of consultations in project districts (27%) than in non-project districts (12%). Qualitative data suggested that the PSG model was a valuable sub-level of CHW organization associated with improved CHW performance, supervision, and social capital. CONCLUSIONS: The iCCM model implemented by Kabeho Mwana resulted in greater improvements in care-seeking than those seen in the rest of the country. Intensive monitoring, collaborative supervision, community mobilization, and CHW PSGs contributed to this success. The PSGs were a unique contribution of the project, playing a critical role in improving care-seeking in project districts. Effective implementation of iCCM should therefore include CHW management and social support mechanisms. Finally, re-analysis of national survey data improved evaluation findings by providing impact estimates.

Understanding where parents take their sick children and why it matters: a multi-country analysis.

BACKGROUND: Developing effective context-specific strategies to ensure that a high proportion of children receive timely and appropriate care requires knowing the source from which care is sought. Although Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) collect such data in disaggregated form, they are not made available in the standard DHS and MICS reports. METHODS: Secondary data analysis was done on 42 DHS and MICS surveys conducted since 2005 for care seeking for acute respiratory illness (DHS and MICS), diarrhea (DHS only), and fever (DHS only), disaggregating by urban-rural settings. Eight categories were used for source of care. Stata, version 12, was used for the analysis. RESULTS: Patterns varied considerably, with care seeking in most of sub-Saharan Africa predominantly from public-sector providers, in South Asia predominantly from the private sector, and in Southeast Asia from a mix of public and private sources. Community health workers were not an important source of care. CONCLUSIONS: Variation in care-seeking patterns has implications for effective strategy, as described in more detail in 5 country examples from Asia and Africa. The analysis also suggests that it may be inappropriate to focus program efforts on community health workers to the exclusion of more widely used sources of care. The authors argue that, in order to ensure sounder program approaches, disaggregated care-seeking data should be routinely included in DHS and MICS reports. Finally, the authors call for more data on actual care provided in order to improve quality of care.

Systems and strategies for identifying and enumerating children outside of family care.

Methodologies to identify and enumerate children outside of family care vary as do the vulnerability categories of the children themselves. Children outside of family care is a broad term encompassing children absent of permanent family care, e.g., institutionalized children, children on/of the street, child-headed households, separated or unaccompanied children, trafficked children, children working in exploitive labor situations, etc. This paper reviews the various methodologies applied to identify and enumerate these often hidden and/or mobile populations. Methodologies that identify and enumerate children outside of family strive to meet two objectives: (1) to estimate the number and characteristics of a specific vulnerability category and (2) to determine eligibility to receive services. The paper reviews eight methodologies; six are categorized as survey sample methods (time-location sampling, capture recapture sampling, respondent driven sampling, the neighborhood method, household surveys, and establishment surveys) while two were labeled as data management systems (child labor management system, and databases of institutions). Each review includes a concise description of the methodology, its strengths and limitations, the most appropriate population it is suited to identify and/or enumerate, and any necessary conditions. Conclusions from these reviews advocate for tailoring a methodology (or a combination of methodologies) to the specific circumstances under which it is meant to identify or enumerate children outside of family care. In addition, further research and validation studies are needed to identify the conditions under which the strategies described here can be used and to develop appropriate protocols for utilization.

Deaths of clients in methadone treatment in Texas: 1994-2002.

This study analyzes causes of deaths of 766 patients who died while in methadone treatment in Texas between 1994 and 2002. Compared with deaths in the general population of Texas, deaths of clients in methadone treatment were 4.6 times more likely to be from a drug overdose, 3.4 times more likely to be from liver disease, 1.7 times more likely to be from a respiratory disease, 1.5 times more likely to be from a homicide and 1.4 times more likely to be from AIDS, but less likely to be from suicide, motor vehicle accidents, cardiovascular diseases or cancer. Of the clients, 20% died of liver disease, 18% of cardiovascular disease and 14% of drug overdose. An older cohort had been in treatment longer, had more take-homes, were on higher doses and tended to die of chronic diseases. A younger cohort tended to die from traumas, including drug overdose. Time in treatment was 43.3 months; mean daily dose was 77.3mg; number of days/month dosed in the clinic was 13.9. Given these rates, the scope of services should include on-site treatment for other medical conditions and staff should be educated about and counsel about the risk of death for new patients.