Moderate Accuracy of Survey Responses about Infant and Young Child Feeding Counseling Reported by Mothers with Children Less than 1 Year of Age in India.

BACKGROUND: Counseling on infant and young child feeding (IYCF) to support optimal breastfeeding and complementary feeding practices is an essential intervention, and accurate coverage data is needed to identify gaps and monitor progress. However, coverage information captured during household surveys has not yet been validated. OBJECTIVES: We examined the validity of maternal reports of IYCF counseling received during community-based contacts and factors associated with reporting accuracy. METHODS: Direct observations of home visits conducted by community workers in 40 villages in Bihar, India served as the "gold standard" to maternal reports of IYCF counseling received during 2-wk follow-up surveys (n = 444 mothers with children less than 1 y of age, interviews matched to direct observations). Individual-level validity was assessed by calculating sensitivity, specificity, and AUC. Population-level bias was measured using the inflation factor (IF). Multivariable regression models were used to examine factors associated with response accuracy. RESULTS: Prevalence of IYCF counseling during home visits was very high (90.1%). Maternal report of any IYCF counseling received in the past 2 wk was moderate (AUC: 0.60; 95% CI: 0.52, 0.67), and population bias was low (IF = 0.90). However, the recall of specific counseling messages varied. Maternal report of any breastfeeding, exclusive breastfeeding, and dietary diversity messages had moderate validity (AUC > 0.60), but other child feeding messages had low individual validity. Child age, maternal age, maternal education, mental stress, and social desirability were associated with reporting accuracy of multiple indicators. CONCLUSIONS: Validity of IYCF counseling coverage was moderate for several key indicators. IYCF counseling is an information-based intervention that may be received from various sources, and it may be challenging to achieve higher reporting accuracy over a longer recall period. We consider the modest validity results as positive and suggest that these coverage indicators may be useful for measuring coverage and tracking progress over time.

Association between antenatal care facility readiness and provision of care at the client level and facility level in five low- and middle-income countries.

BACKGROUND: Despite growing interest in monitoring improvements in quality of care, data on service quality in low-income and middle-income countries (LMICs) is limited. While health systems researchers have hypothesized the relationship between facility readiness and provision of care, there have been few attempts to quantify this relationship in LMICs. This study assesses the association between facility readiness and provision of care for antenatal care at the client level and facility level. METHODS: To assess the association between provision of care and various facility readiness indices for antenatal care, we used multilevel, multivariable random-effects linear regression models. We tested an inflection point on readiness scores by fitting linear spline models. To compare the coefficients between models, we used a bootstrapping approach and calculated the mean difference between all pairwise comparisons. Analyses were conducted at client and facility levels. RESULTS: Our results showed a small, but significant association between facility readiness and provision of care across countries and most index constructions. The association was most evident in the client-level analyses that had a larger sample size and were adjusted for factors at the facility, health worker, and individual levels. In addition, spline models at a facility readiness score of 50 better fit the data, indicating a plausible threshold effect. CONCLUSIONS: The results of this study suggest that facility readiness is not a proxy for provision of care, but that there is an important association between facility readiness and provision of care. Data on facility readiness is necessary for understanding the foundations of health systems particularly in countries with the lowest levels of service quality. However, a comprehensive view of quality of care should include both facility readiness and provision of care measures.

Validation of Maternal Report of Receipt of Iron-Folic Acid Supplementation during Antenatal Care in Rural Southern Nepal.

BACKGROUND: Coverage of iron-folic acid (IFA) supplementation is a key indicator for tracking programmatic progress within and across countries. However, the validity of maternal report of this information during household surveys has yet to be determined. OBJECTIVES: This study aimed to examine the validity of maternal recall of receipt of IFA supplementation during antenatal care (ANC) and factors associated with accuracy of maternal recall. METHODS: A longitudinal cohort design was employed. The direct observation of the IFA received during all ANC visits at the 5 study health posts served as the "gold standard" to the maternal report of IFA received during the postpartum interview. Individual-level validity was assessed by calculating indicator sensitivity, specificity, and AUC. The inflation factor (IF) measured population-level bias. A multivariable log-binomial model was used to assess factors associated with accurate recall. RESULTS: The majority (95.8%) of women were observed receiving IFA during pregnancy. Women overreported the number of IFA tablets received compared with what was observed during ANC visits (mean difference: 45 tablets). Maternal report of any IFA receipt was moderate (AUC = 0.60; 95% CI: 0.50, 0.71), and population bias was low (IF = 1.01). However, the individual-level validity was poor across the 7 IFA tablet count categories; the AUC for categories ranged from misleading to moderate. Driven by the trend of maternal overreport, the IF indicated that maternal report drastically underestimated the coverage of lower tablet categories and overestimated the coverage of higher tablet counts. Accuracy of maternal report was not associated with months since last ANC observation nor any maternal characteristics. CONCLUSIONS: Maternal report of the amount of IFA supplementation received during pregnancy produced extremely biased population coverage and performed poorly to moderately for individual-level validity. It is imperative to improve this indicator because it is used in global frameworks and national program planning.

Validation of MINORMIX Approach for Estimation of Low Birthweight Prevalence Using a Rural Nepal Dataset.

BACKGROUND: The Global Nutrition Target of reducing low birthweight (LBW) by ≥30% between 2012 and 2025 has led to renewed interest in producing accurate, population-based, national LBW estimates. Low- and middle-income countries rely on household surveys for birthweight data. These data are frequently incomplete and exhibit strong "heaping." Standard survey adjustment methods produce estimates with residual bias. The global database used to report against the LBW Global Nutrition Target adjusts survey data using a new MINORMIX (multiple imputation followed by normal mixture) approach: 1) multiple imputation to address missing birthweights, followed by 2) use of a 2-component normal mixture model to account for heaping of birthweights. OBJECTIVES: To evaluate the performance of the MINORMIX birthweight adjustment approach and alternative methods against gold-standard measured birthweights in rural Nepal. METHODS: As part of a community-randomized trial in rural Nepal, we measured "gold-standard" birthweights at birth and returned 1-24 mo later to collect maternally reported birthweights using standard survey methods. We compared estimates of LBW from maternally reported data derived using: 1) the new MINORMAX approach; 2) the previously used Blanc-Wardlaw adjustment; or 3) no adjustment for missingness or heaping against our gold standard. We also assessed the independent contribution of multiple imputation and curve fitting to LBW adjustment. RESULTS: Our gold standard found 27.7% of newborns were LBW. The unadjusted LBW estimate based on maternal report with simulated missing birthweights was 14.5% (95% CI: 11.6, 18.0%). Application of the Blanc-Wardlaw adjustment increased the LBW estimate to 20.6%. The MINORMIX approach produced an estimate of 26.4% (95% CI: 23.5, 29.3%) LBW, closest to and with bounds encompassing the measured point estimate. CONCLUSIONS: In a rural Nepal validation dataset, the MINORMIX method generated a more accurate LBW estimate than the previously applied adjustment method. This supports the use of the MINORMIX method to produce estimates for tracking the LBW Global Nutrition Target.

The effect of sampling health facilities on estimates of effective coverage: a simulation study.

BACKGROUND: Most existing facility assessments collect data on a sample of health facilities. Sampling of health facilities may introduce bias into estimates of effective coverage generated by ecologically linking individuals to health providers based on geographic proximity or administrative catchment. METHODS: We assessed the bias introduced to effective coverage estimates produced through two ecological linking approaches (administrative unit and Euclidean distance) applied to a sample of health facilities. Our analysis linked MICS household survey data on care-seeking for child illness and childbirth care with data on service quality collected from a census of health facilities in the Savanes region of Cote d'Ivoire. To assess the bias introduced by sampling, we drew 20 random samples of three different sample sizes from our census of health facilities. We calculated effective coverage of sick child and childbirth care using both ecological linking methods applied to each sampled facility data set. We compared the sampled effective coverage estimates to ecologically linked census-based estimates and estimates based on true source of care. We performed sensitivity analyses with simulated preferential care-seeking from higher-quality providers and randomly generated provider quality scores. RESULTS: Sampling of health facilities did not significantly bias effective coverage compared to either the ecologically linked estimates derived from a census of facilities or true effective coverage estimates using the original data or simulated random quality sensitivity analysis. However, a few estimates based on sampling in a setting where individuals preferentially sought care from higher-quality providers fell outside of the estimate bounds of true effective coverage. Those cases predominantly occurred using smaller sample sizes and the Euclidean distance linking method. None of the sample-based estimates fell outside the bounds of the ecologically linked census-derived estimates. CONCLUSIONS: Our analyses suggest that current health facility sampling approaches do not significantly bias estimates of effective coverage produced through ecological linking. Choice of ecological linking methods is a greater source of bias from true effective coverage estimates, although facility sampling can exacerbate this bias in certain scenarios. Careful selection of ecological linking methods is essential to minimize the potential effect of both ecological linking and sampling error.

Using cognitive interviewing to bridge the intent-interpretation gap for nutrition coverage survey questions in India.

Designing survey questions that clearly and precisely communicate the question's intent and elicit responses based on the intended interpretation is critical but often undervalued. We used cognitive interviewing to qualitatively assess respondents' interpretation of and responses to questions pertaining to maternal and child nutrition intervention coverage. We conducted interviews to cognitively test 25 survey questions with mothers (N = 21) with children less than 1 year in Madhya Pradesh, India. Each question was followed by probes to capture information on four cognitive stages-comprehension, retrieval, judgement, and response. Data were analysed for common and unique patterns across the survey questions. We identified four types of cognitive challenges: (1) retention of multiple concepts in long questions: difficulty in comprehending and retaining questions with three or more key concepts; (2) temporal confusion: difficulty in conceptualizing recall periods such as "in the last 6 months" as compared to life stages such as pregnancy; (3) interpretation of concepts: mismatch of information being asked, meaning of certain terms and intervention scope; and (4) understanding of technical terms: difficulty in understanding commonly used technical words such as "breastfeeding" and "antenatal care" and requiring use of simple alternative language. Findings from this study will be useful for stakeholders involved in survey design and implementation, especially those conducting large-scale household surveys to measure coverage of essential nutrition interventions.

Advancing nutrition measurement: Developing quantitative measures of nutrition service quality for pregnant women and children in low- and middle-income country health systems.

The health sector plays an important role in the delivery of high-quality nutrition interventions to women and children in low- and middle-income countries (LMICs). However, there are no standardized approaches to defining and measuring nutrition service quality in these contexts. This study aims to systematically develop quality of care indices for direct health systems nutrition interventions using a five-step process: (1) identify recommended interventions for inclusion in indices, (2) extract service readiness, provision of care, and experience of care items from intervention-specific clinical guidelines, (3) map items to data available in global health facility surveys, (4) conduct an expert survey to prioritize interventions and items, and (5) use findings from previous steps to propose quality of care metrics. Thirty-two recommended interventions were identified, for which the guidelines review yielded 763 unique items that were reviewed by experts. The proposed nutrition quality of care indices for pregnant women reflects eight interventions and the indices for children under 5 reflects six interventions. The indices provide a standardized measure for nutrition intervention quality and can be operationalized using existing health facility assessment data, facilitating their use by LMIC decision makers for planning and resource allocation.

Validation of maternal report of nutrition-related interventions and counselling during antenatal care in southern Nepal.

The delivery of nutrition-related interventions and counselling during antenatal care is critical for a healthy pregnancy for both mother and child. However, the accuracy of maternal reports of many of these services during household surveys has not yet been examined. Our objectives were to assess the validity of the maternal reports of 10 antenatal nutrition interventions, including counselling, and examine associates between maternal characteristics and accuracy. Maternal report of services received collected during a post-partum survey was compared to the gold standard, the direct observation of all women's antenatal care visits. Individual-level validity was assessed by calculating indicator sensitivity, specificity and area under the operating curve (AUC). The inflation factor (IF) measured population-level bias. For five indicators, the high true coverage limited our ability to assess the validity of the maternal reports. There were no indicators that had both high individual-level validity (AUC > 0.70) and low population bias (0.75 < IF < 1.25). Indicators with greater true coverage estimates had higher sensitivity and lower specificity estimates compared to those indicators with lower true coverage. There were no maternal characteristics associated with the accuracy of the report. Maternal report of antenatal nutrition-related interventions and counselling during household surveys was found to have variable validity across indicators. Additional research in settings with varying coverage levels should be considered to best inform antenatal care coverage measurement in household surveys.

Reliability of maternal recall of delivery and immediate newborn care indicators in Sarlahi, Nepal.

BACKGROUND: The intrapartum period is a time of high mortality risk for newborns and mothers. Numerous interventions exist to minimize risk during this period. Data on intervention coverage are needed for health system improvement. Maternal report of intrapartum interventions through surveys is the primary source of coverage data, but they may be invalid or unreliable. METHODS: We assessed the reliability of maternal report of delivery and immediate newborn care for a sample of home and health facility births in Sarlahi, Nepal. Mothers were visited as soon as possible following delivery (< 72 h) and asked to report circumstances of labor and delivery. A subset was revisited 1-24 months after delivery and asked to recall interventions received using standard household survey questions. We assessed the reliability of each indicator by comparing what mothers reported immediately after delivery against what they reported at the follow-up survey. We assessed potential variation in reliability of maternal report by characteristics of the mother, birth event, or intervention prevalence. RESULTS: One thousand five hundred two mother/child pairs were included in the reliability study, with approximately half of births occurring at home. A higher proportion of women who delivered in facilities reported "don't know" when asked to recall specific interventions both initially and at follow-up. Most indicators had high observed percent agreement, but kappa values were below 0.4, indicating agreement was primarily due to chance. Only "received any injection during delivery" demonstrated high reliability among all births (kappa: 0.737). The reliability of maternal report was typically lower among women who delivered at a facility. There was no difference in reliability based on time since birth of the follow-up interview. We observed over-reporting of interventions at follow-up that were more common in the population and under-reporting of less common interventions. CONCLUSIONS: This study reinforces previous findings that mothers are unable to report reliably on many interventions within the peripartum period. Household surveys which rely on maternal report, therefore, may not be an appropriate method for collecting data on coverage of many interventions during the peripartum period. This is particularly true among facility births, where many interventions may occur without the mother's full knowledge.

Impact of imprecise household location on effective coverage estimates generated through linking household and health provider data by geographic proximity: a simulation study.

BACKGROUND: Geographic proximity is often used to link household and health provider data to estimate effective coverage of health interventions. Existing household surveys often provide displaced data on the central point within household clusters rather than household location. This may introduce error into analyses based on the distance between households and providers. METHODS: We assessed the effect of imprecise household location on quality-adjusted effective coverage of child curative services estimated by linking sick children to providers based on geographic proximity. We used data on care-seeking for child illness and health provider quality in Southern Province, Zambia. The dataset included the location of respondent households, a census of providers, and data on the exact outlets utilized by sick children included in the study. We displaced the central point of each household cluster point five times. We calculated quality-adjusted coverage by assigning each sick child to a provider's care based on three measures of geographic proximity (Euclidean distance, travel time, and geographic radius) from the household location, cluster point, and displaced cluster locations. We compared the estimates of quality-adjusted coverage to each other and estimates using each sick child's true source of care. We performed sensitivity analyses with simulated preferential care-seeking from higher-quality providers and randomly generated provider quality scores. RESULTS: Fewer children were linked to their true source of care using cluster locations than household locations. Effective coverage estimates produced using undisplaced or displaced cluster points did not vary significantly from estimates produced using household location data or each sick child's true source of care. However, the sensitivity analyses simulating greater variability in provider quality showed bias in effective coverage estimates produced with the geographic radius and travel time method using imprecise location data in some scenarios. CONCLUSIONS: Use of undisplaced or displaced cluster location reduced the proportion of children that linked to their true source of care. In settings with minimal variability in quality within provider categories, the impact on effective coverage estimates is limited. However, use of imprecise household location and choice of geographic linking method can bias estimates in areas with high variability in provider quality or preferential care-seeking.

The role of gender power relations on women's health outcomes: evidence from a maternal health coverage survey in Simiyu region, Tanzania.

BACKGROUND: Gender is a crucial consideration of human rights that impacts many priority maternal health outcomes. However, gender is often only reported in relation to sex-disaggregated data in health coverage surveys. Few coverage surveys to date have integrated a more expansive set of gender-related questions and indicators, especially in low- to middle-income countries that have high levels of reported gender inequality. Using various gender-sensitive indicators, we investigated the role of gender power relations within households on women's health outcomes in Simiyu region, Tanzania. METHODS: We assessed 34 questions around gender dynamics reported by men and women against 18 women's health outcomes. We created directed acyclic graphs (DAGs) to theorize the relationship between indicators, outcomes, and sociodemographic covariates. We grouped gender variables into four categories using an established gender framework: (1) women's decision-making, (2) household labor-sharing, (3) women's resource access, and (4) norms/beliefs. Gender indicators that were most proximate to the health outcomes in the DAG were tested using multivariate logistic regression, adjusting for sociodemographic factors. RESULTS: The overall percent agreement of gender-related indicators within couples was 68.6%. The lowest couple concordance was a woman's autonomy to decide to see family/friends without permission from her husband/partner (40.1%). A number of relationships between gender-related indicators and health outcomes emerged: questions from the decision-making domain were found to play a large role in women's health outcomes, and condoms and contraceptive outcomes had the most robust relationship with gender indicators. Women who reported being able to make their own health decisions were 1.57 times (95% CI: 1.12, 2.20) more likely to use condoms. Women who reported that they decide how many children they had also reported high contraception use (OR: 1.79, 95% CI: 1.34, 2.39). Seeking care at the health facility was also associated with women's autonomy for making major household purchases (OR: 1.35, 95% CI: 1.13, 1.62). CONCLUSIONS: The association between decision-making and other gender domains with women's health outcomes highlights the need for heightened attention to gender dimensions of intervention coverage in maternal health. Future studies should integrate and analyze gender-sensitive questions within coverage surveys.

Assessment of facility and health worker readiness to provide quality antenatal, intrapartum and postpartum care in rural Southern Nepal.

BACKGROUND: Increased coverage of antenatal care and facility births might not improve maternal and newborn health outcomes if quality of care is sub-optimal. Our study aimed to assess the facility readiness and health worker knowledge required to provide quality maternal and newborn care. METHODS: Using an audit tool and interviews, respectively, facility readiness and health providers' knowledge of maternal and immediate newborn care were assessed at all 23 birthing centers (BCs) and the District hospital in the rural southern Nepal district of Sarlahi. Facility readiness to perform specific functions was assessed through descriptive analysis and comparisons by facility type (health post (HP), primary health care center (PHCC), private and District hospital). Knowledge was compared by facility type and by additional skilled birth attendant (SBA) training. RESULTS: Infection prevention items were lacking in more than one quarter of facilities, and widespread shortages of iron/folic acid tablets, injectable ampicillin/gentamicin, and magnesium sulfate were a major barrier to facility readiness. While parenteral oxytocin was commonly provided, only the District hospital was prepared to perform all seven basic emergency obstetric and newborn care signal functions. The required number of medical doctors, nurses and midwives were present in only 1 of 5 PHCCs. Private sector SBAs had significantly lower knowledge of active management of third stage of labor and correct diagnosis of severe pre-eclampsia. While half of the health workers had received the mandated additional two-month SBA training, comparison with the non-trained group showed no significant difference in knowledge indicators. CONCLUSIONS: Facility readiness to provide quality maternal and newborn care is low in this rural area of Nepal. Addressing the gaps by facility type through regular monitoring, improving staffing and supply chains, supervision and refresher trainings is important to improve quality.

Validity of self-reported receipt of iron supplements during pregnancy: implications for coverage measurement.

BACKGROUND: Iron-deficiency anemia during pregnancy is an underlying cause of maternal deaths, and reducing risk through routine iron supplementation is a key component of antenatal care (ANC) programs in most low- and middle income countries. Supplementation coverage during pregnancy is estimated from maternal self-reports in population-based household surveys, yet recall bias and social desirability bias lead to errors of unknown magnitude. METHODS: We linked data from household and health facility surveys from 16 countries to estimate input-adjusted coverage of iron supplementation during pregnancy. We assessed the validity of reported receipt of iron supplements in client exit interviews using direct observation as the gold standard across 9 countries with a recent Service Provision Assessment (SPA). Using a sample of 227 women who participated in the Nepal Oil Massage Study (NOMS), we also assessed the validity of self-reported receipt of iron folic acid (IFA) supplements. We used Poisson regression models to explore the association between client and health facility characteristics and agreement of self-reported receipt of iron supplements compared to direct observation. RESULTS: Across the 16 countries, iron supplements were in supply at most of the 9215 sampled health facilities offering ANC services (91%). We estimated that between 48 and 93% of women attended at least one ANC visit at a health facility with iron supplements available. The specificity of recall of receipt of iron supplementation immediately following a visit was 79.3% and the sensitivity was 88.7% for the entire sample. Individual-level accuracy was high (Area under the curve > 0.7) and population bias low (0.75 < inflation factor < 1.25) across all countries. By contrast, in the NOMS sub-study, the accuracy of self-reported receipt of IFA supplements after 1-2 years was poor (sensitivity 86.1%, specificity 34.3%). Adjusted regression analyses indicated that older age and higher level of education were associated with poorer agreement between self-reports and direct observation. CONCLUSIONS: These findings suggest the need for caution when using self-reported measures with an extended recall period. Further validation studies using conditions similar to widely used population-based household surveys are warranted.

Using the Lives Saved Tool to aid country planning in meeting mortality targets: a case study from Mali.

BACKGROUND: Mali is one of four countries implementing a National Evaluation Platform (NEP) to build local capacity to answer evaluation questions for maternal, newborn, child health and nutrition (MNCH&N). In 2014-15, NEP-Mali addressed questions about the potential impact of Mali's MNCH&N plans and strategies, and identified priority interventions to achieve targeted mortality reductions. METHODS: The NEP-Mali team modeled the potential impact of three intervention packages in the Lives Saved Tool (LiST) from 2014 to 2023. One projection included the interventions and targets from Mali's ten-year health strategy (PDDSS) for 2014-2023, and two others modeled intervention packages that included scale up of antenatal, intrapartum, and curative interventions, as well as reductions in stunting and wasting. We modeled the change in maternal, newborn and under-five mortality rates under these three projections, as well as the number of lives saved, overall and by intervention. RESULTS: If Mali were to achieve the MNCH&N coverage targets from its health strategy, under-5 mortality would be reduced from 121 per 1000 live births to 93 per 1000, far from the target of 69 deaths per 1000. Projections 1 and 2 produced estimated mortality reductions from 121 deaths per 1000 to 70 and 68 deaths per 1000, respectively. With respect to neonatal mortality, the mortality rate would be reduced from 39 to 32 deaths per 1000 live births under the current health strategy, and to 25 per 1000 under projections 1 and 2. CONCLUSIONS: This study revealed that achieving the coverage targets for the MNCH&N interventions in the 2014-23 PDDSS would likely not allow Mali to achieve its mortality targets. The NEP-Mali team was able to identify two packages of MNCH&N interventions (and targets) that achieved under-5 and neonatal mortality rates at, or very near, the PDDSS targets. The Malian Ministry of Health and Public Hygiene is using these results to revise its plans and strategies.

[Formative research on community-based vital events registration in Mali]. / Recherche formative sur l’enregistrement d’évènements vitaux en milieu communautaire au Mali.

OBJECTIVES: The under-five mortality rate in Mali is high, with most deaths occurring in the community where there is no reliable vital events registration. The objective of this study was to collect data on community-based vital events registration in the Niono and Baroueli districts of the Segou region, in order to improve the community-based vital events registration system. METHODS: Data collection for this cross-sectional, descriptive, and qualitative study was conducted in May 2010. Participants included health and administrative workers, community members, women's associations, and non-governmental organizations. Data collection methods included individual interviews and focus groups, as well as document review. Data were entered and codified with Modalisa version 5.1. RESULTS: Pregnancy registration was performed exclusively by health workers in health facilities and was not performed before the third month of pregnancy due to concerns about losing the pregnancy (due to sorcery or spells). Birth registration was performed in administrative and health structures and at the community level, but after an interval of about 7 days. Childhood deaths were rarely registered because the community did not understand the importance of this registration, and because of problems accessing the structures in which deaths are registered. Community opinions were favourable to the implementation of an improved system involving relays (community-based volunteers). CONCLUSION: Improvements to vital events registration in this setting should make use of relays by increasing the awareness and involvement of the population.

Delays in accessing high-quality care for newborns in East Africa: An analysis of survey data in Malawi, Mozambique, and Tanzania.

Background: Despite the existence of evidence-based interventions, substantial progress in reducing neonatal mortality is lagging, indicating that small and sick newborns (SSNs) are likely not receiving the care they require to survive and thrive. The 'three delays model' provides a framework for understanding the challenges in accessing care for SSNs. However, the extent to which each delay impacts access to care for SSNs is not well understood. To fill this evidence gap, we explored the impact of each of the three delays on access to care for SSNs in Malawi, Mozambique, and Tanzania. Methods: Secondary analyses of data from three different surveys served as the foundation of this study. To understand the impact of delays in the decision to seek care (delay 1) and the ability to reach an appropriate point of care (delay 2), we investigated time trends in place of birth disaggregated by facility type. We also explored care-seeking behaviours for newborns who died. To understand the impact of delays in accessing high-quality care after reaching a facility (delay 3), we measured facility readiness to manage care for SSNs. We used this measure to adjust institutional delivery coverage for SSN care readiness. Results: Coverage of institutional deliveries was substantially lower after adjusting for facility readiness to manage SSN care, with decreases of 30 percentage points (pp) in Malawi, 14 pp in Mozambique, and 24 pp in Tanzania. While trends suggest more SSNs are born in facilities, substantial gaps remain in facilities' capacities to provide lifesaving interventions. In addition, exploration of care-seeking pathways revealed that a substantial proportion of newborn deaths occurred outside of health facilities, indicating barriers in the decision to seek care or the ability to reach an appropriate source of care may also prevent SSNs from receiving these interventions. Conclusions: Investments are needed to overcome delays in accessing high-quality care for the most vulnerable newborns, those who are born small or sick. As more mothers and newborns access health services in low- and middle-income countries, ensuring that life-saving interventions for SSNs are available at the locations where newborns are born and seek care after birth is critical.

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.

Using LiST to model potential reduction in under-five mortality in Burkina Faso.

BACKGROUND: Under-five mortality remains high in Burkina Faso with significant reductions required to meet Millennium Development Goal 4. The Acceleration for Maternal, Newborn, and Child Health is being implemented to reduce child mortality in the North and Center North regions of Burkina Faso. METHODS: The Lives Saved Tool was used to determine the percent reduction in child mortality that can be achieved given baseline levels of coverage for interventions targeted by the Acceleration. Data were obtained from the Demographic and Health Survey 2003, the Multiple Indicator Cluster Survey 2006, and the baseline survey for the program from 2010. In addition to the scale up, scenarios were generated to examine the outcome if secular trends in intervention coverage change persisted and if intervention coverage levels remained constant. RESULTS: Scaling up all interventions to their target coverage level showed a potential reduction in under-five mortality of 22 percent, with district specific reductions in mortality ranging from 14 to 25 percent. The percent reduction in under-five mortality that might be attributable to the program was 16 percent and varied between 14 and 19 percent by district. Treatment of diarrhea with ORS and malaria with ACTs accounted for the majority of the reduction in mortality. CONCLUSIONS: These findings suggest that significant reductions in under-five mortality may be achieved through the scale-up of the Acceleration. The Ministry of Health and its partners in Burkina Faso should continue their efforts to scale up these proven interventions to achieve and even exceed target levels for coverage.

Exploring approaches to weighting estimates of facility readiness to provide health services used for estimating input-adjusted effective coverage: a case study using data from Tanzania.

The ideal approach for calculating effective coverage of health services using ecological linking requires accounting for variability in facility readiness to provide health services and patient volume by incorporating adjustments for facility type into estimates of facility readiness and weighting facility readiness estimates by service-specific caseload. The aim of this study is to compare the ideal caseload-weighted facility readiness approach to two alternative approaches: (1) facility-weighted readiness and (2) observation-weighted readiness to assess the suitability of each as a proxy for caseload-weighted facility readiness. We utilised the 2014-2015 Tanzania Service Provision Assessment along with routine health information system data to calculate facility readiness estimates using the three approaches. We then conducted equivalence testing, using the caseload-weighted estimates as the ideal approach and comparing with the facility-weighted estimates and observation-weighted estimates to test for equivalence. Comparing the facility-weighted readiness estimates to the caseload-weighted readiness estimates, we found that 58% of the estimates met the requirements for equivalence. In addition, the facility-weighted readiness estimates consistently underestimated, by a small percentage, facility readiness as compared to the caseload-weighted readiness estimates. Comparing the observation-weighted readiness estimates to the caseload-weighted readiness estimates, we found that 64% of the estimates met the requirements for equivalence. We found that, in this setting, both facility-weighted readiness and observation-weighted readiness may be reasonable proxies for caseload-weighted readiness. However, in a setting with more variability in facility readiness or larger differences in facility readiness between low caseload and high caseload facilities, the observation-weighted approach would be a better option than the facility-weighted approach. While the methods compared showed equivalence, our results suggest that selecting the best method for weighting readiness estimates will require assessing data availability alongside knowledge of the country context.