Stagnation of maternal mortality decline in Bangladesh between 2010 and 2016 in spite of an increase in health services utilisation: Examining data from three large cross-sectional surveys.

Background: After a 40% reduction in maternal mortality ratio (MMR) during 2001-2010 in Bangladesh, the MMR level stagnated between 2010 and 2016 despite a steady increase in maternal health services use and improvements in overall socioeconomic status. We revisited the factors that contributed to MMR decline during 2001-2010 and examined the changes in these factors between 2010 and 2016 to explain the MMR stagnation in Bangladesh. Methods: We used data from the 2001, 2010, and 2016 Bangladesh Maternal Mortality Surveys, which sampled 566 115 households in total, to estimate the changes in the risk of dying of maternal causes associated with a pregnancy or birth between 2001-2010 and 2010-2016. We carried out Poisson regression analyses with random effects at the sub-district level to explore the relationship between the change in risk of maternal death from 2001 to 2016 and a range of demographic, socioeconomic, and health care factors. Results: Between 2001 and 2016, the proportion of high-risk pregnancies decreased, except for teenage pregnancies. Meanwhile, there were notable improvements in socioeconomic status, access to health services, and the utilisation of maternal health services. A comparison of factors affecting the risk of maternal death between 2001-2010 and 2010-2016 indicated that first pregnancies continued to offer significant protection against maternal deaths. However, subsequent pregnancies among girls under 20 years became a significant risk factor during 2010-2016, increasing the risk of maternal deaths by nearly 3-fold. Among the key maternal health services, only skilled birth attendants (SBA) were identified as a key contributor to MMR reduction during 2001-2010. However, SBA is no longer significantly associated with reducing mortality risk during 2010-2016. Conclusions: Despite continued improvements in the overall socioeconomic status and access to maternal health services in Bangladesh, the stagnation of MMR decline between 2010 and 2016 is associated with multiple teenage pregnancies and the lack of capacity in health facilities to provide quality delivery services, as SBA has been primarily driven by facility delivery. The findings provide a strong rationale for targeting at-risk mothers and strengthening reproductive health services, including family planning, to further reduce maternal mortality in Bangladesh.

Estimating the effects of COVID-19 on essential health services utilization in Uganda and Bangladesh using data from routine health information systems.

Background: Since March 2020, the coronavirus disease 2019 (COVID-19) pandemic has been a major shock to health systems across the world. We examined national usage patterns for selected basic, essential health services, before and during the COVID-19 pandemic in Uganda and Bangladesh, to determine whether COVID-19 affected reporting of service utilization and the use of health services in each country. Methods: We used routine health information system data since January 2017 to analyze reporting and service utilization patterns for a variety of health services. Using time series models to replicate pre-COVID-19 trajectories over time we estimated what levels would have been observed if COVID-19 had not occurred during the pandemic months, starting in March 2020. The difference between the observed and predicted levels is the COVID-19 effect on health services. Results: The time trend models for Uganda and Bangladesh closely replicated the levels and trajectories of service utilization during the 38 months prior to the COVID-19 pandemic. Our results indicate that COVID-19 had severe effects across all services, particularly during the first months of the pandemic, but COVID-19 impacts on health services and subsequent recovery varied by service type. In general, recovery to expected levels was slow and incomplete across the most affected services. Conclusion: Our analytical approach based on national information system data could be very useful as a form of surveillance for health services disruptions from any cause leading to rapid responses from health service managers and policymakers.

Area-specific covid-19 effects on health services utilization in the Democratic Republic of the Congo using routine health information system data.

BACKGROUND: Since March 2020, the COVID-19 pandemic has shocked health systems worldwide. This analysis investigated the effects of the pandemic on basic health services utilization in the Democratic Republic of the Congo (DRC) and examined the variability of COVID effects in the capital city Kinshasa, in other urban areas, and in rural areas. METHODS: We estimated time trends models using national health information system data to replicate pre-COVID-19 (i.e., January 2017-February 2020) trajectories of health service utilization, and then used those models to estimate what the levels would have been in the absence of COVID-19 during the pandemic period, starting in March 2020 through March 2021. We classified the difference between the observed and predicted levels as the effect of COVID-19 on health services. We estimated 95% confidence intervals and p-values to examine if the effect of the pandemic, nationally and within specific geographies, was statistically significant. RESULTS: Our results indicate that COVID-19 negatively impacted health services and subsequent recovery varied by service type and by geographical area. COVID-19 had a lasting impact on overall service utilization as well as on malaria and pneumonia-related visits among young children in the DRC. We also found that the effects of COVID-19 were even more immediate and stronger in the capital city of Kinshasa compared with the national effect. Both nationally and in Kinshasa, most affected services had slow and incomplete recovery to expected levels. Therefore, our analysis indicates that COVID-19 continued to affect health services in the DRC throughout the first year of the pandemic. CONCLUSIONS: The methodology used in this article allows for examining the variability in magnitude, timing, and duration of the COVID effects within geographical areas of the DRC and nationally. This analytical procedure based on national health information system data could be applied to surveil health service disruptions and better inform rapid responses from health service managers and policymakers.

Predicting nutritional status for women of childbearing age from their economic, health, and demographic features: A supervised machine learning approach.

BACKGROUND: Malnutrition imposes enormous costs resulting from lost investments in human capital and increased healthcare expenditures. There is a dearth of research focusing on the prediction of women's body mass index (BMI) and malnutrition outcomes (underweight, overweight, and obesity) in developing countries. This paper attempts to fill out this knowledge gap by predicting the BMI and the risks of malnutrition outcomes for Bangladeshi women of childbearing age from their economic, health, and demographic features. METHODS: Data from the 2017-18 Bangladesh Demographic and Health Survey and a series of supervised machine learning (SML) techniques are used. Additionally, this study circumvents the imbalanced distribution problem in obesity classification by utilizing an oversampling approach. RESULTS: Study findings demonstrate that the support vector machine and k-nearest neighbor are the two best-performing methods in BMI prediction based on the coefficient of determination (R2), root mean square error (RMSE), and mean absolute error (MAE). The combined predictor algorithms consistently yield top specificity, Cohen's kappa, F1-score, and AUC in classifying the malnutrition status, and their performance is robust to alternative standards. The feature importance ranking based on several nonparametric and combined predictors indicates that socioeconomic status, women's age, and breastfeeding status are the most important features in predicting women's nutritional outcomes. Furthermore, the conditional inference trees corroborate that those three features, along with the partner's educational attainment and employment status, significantly predict malnutrition risks. CONCLUSION: To the best of our knowledge, this is the first study that predicts BMI and one of the pioneer studies to classify all three malnutrition outcomes for women of childbearing age in Bangladesh, let alone in any lower-middle income country, using SML techniques. Moreover, in the context of Bangladesh, this paper is the first to identify and rank features that are critical in predicting nutritional outcomes using several feature selection algorithms. The estimators from this study predict the outcomes of interest most accurately and efficiently compared to other existing studies in the relevant literature. Therefore, study findings can aid policymakers in designing policy and programmatic approaches to address the double burden of malnutrition among Bangladeshi women, thereby reducing the country's economic burden.

Socioeconomic disparities in diabetes prevalence and management among the adult population in Bangladesh.

BACKGROUND: Diabetes, one of the major metabolic disorders, is rising in Bangladesh. Studies indicate there is inequality in prevalence and care-seeking behavior, which requires further exploration to understand the socioeconomic disparities in the pathophysiology of diabetes. This study examined the latest nationally representative estimates of diabetes prevalence, awareness, and management among adults aged 18 years and above in Bangladesh and its association with socioeconomic status in 2017-18. METHODS: We used the 2017-18 Bangladesh Demographic and Health Survey data. Diabetic status of 12,092 adults aged 18 years and above was measured in the survey using fasting plasma glucose levels. We applied multivariate logistic regressions to examine the role of socioeconomic status on diabetes prevalence, awareness, and management, after controlling for relevant covariates. RESULTS: Overall, 10% of adults had diabetes in Bangladesh in 2017-18, with the highest prevalence of 16% in the age group 55-64 years. Our analyses found statistically significant disparities by socioeconomic status in the prevalence of diabetes as well as the person's awareness of his/her diabetic condition. However, the effect of socioeconomic status on receiving anti-diabetic medication only approached significance (p = 0.07), and we found no significant association between socioeconomic status and control of diabetes. CONCLUSIONS: We expect to see an 'accumulation' of the number of people with diabetes to continue in the coming years. The rising prevalence of diabetes is only the tip of an iceberg; a large number of people with uncontrolled diabetes and a lack of awareness of their condition will lead to increased morbidity and mortality, and that could be the real threat. Immediate measures to increase screening coverage and exploration of poor control of diabetes are required to mitigate the situation.

Estimating the impact of donor programs on child mortality in low- and middle-income countries: a synthetic control analysis of child health programs funded by the United States Agency for International Development.

BACKGROUND: Significant levels of funding have been provided to low- and middle-income countries for development assistance for health, with most funds coming through direct bilateral investment led by the USA and the UK. Direct attribution of impact to large-scale programs funded by donors remains elusive due the difficulty of knowing what would have happened without those programs, and the lack of detailed contextual information to support causal interpretation of changes. METHODS: This study uses the synthetic control analysis method to estimate the impact of one donor's funding (United States Agency for International Development, USAID) on under-five mortality across several low- and middle-income countries that received above average levels of USAID funding for maternal and child health programs between 2000 and 2016. RESULTS: In the study period (2000-16), countries with above average USAID funding had an under-five mortality rate lower than the synthetic control by an average of 29 deaths per 1000 live births (year-to-year range of - 2 to - 38). This finding was consistent with several sensitivity analyses. CONCLUSIONS: The synthetic control method is a valuable addition to the range of approaches for quantifying the impact of large-scale health programs in low- and middle-income countries. The findings suggest that adequately funded donor programs (in this case USAID) help countries to reduce child mortality to significantly lower rates than would have occurred without those investments.

A comparison of approaches to measuring maternal mortality in Bangladesh, Mozambique, and Bolivia.

BACKGROUND: Many low- and middle-income countries cannot measure maternal mortality to monitor progress against global and country-specific targets. While the ultimate goal for these countries is to have complete civil registrations systems, other interim strategies are needed to provide timely estimates of maternal mortality. OBJECTIVE: The objective is to inform on potential options for measuring maternal mortality. METHODS: This paper uses a case study approach to compare methodologies and estimates of pregnancy-related mortality ratio (PRMR)/maternal mortality ratio (MMR) obtained from four different data sources from similar time periods in Bangladesh, Mozambique, and Bolivia-national population census; post-census mortality survey; household sample survey; and sample vital registration system (SVRS). RESULTS: For Bangladesh, PRMR from the 2011 census falls closely in line with the 2010 household survey and SVRS estimates, while SVRS' MMR estimates are closer to the PRMR estimates obtained from the household survey. Mozambique's PRMR from household survey method is comparable and shows an upward trend between 1994 and 2011, whereas the post-census mortality survey estimated a higher MMR for 2007. Bolivia's DHS and post-census mortality survey also estimated comparable MMR during 1998-2003. CONCLUSIONS: Overall all these data sources presented in this paper have provided valuable information on maternal mortality in Bangladesh, Mozambique, and Bolivia. It also outlines recommendations to estimate maternal mortality based on the advantages and disadvantages of several approaches. CONTRIBUTION: Recommendations in this paper can help health administrators and policy planners in prioritizing investment for collecting reliable and contemporaneous estimates of maternal mortality while progressing toward a complete civil registration system.

Demographic, socioeconomic, and biological correlates of hypertension in an adult population: evidence from the Bangladesh demographic and health survey 2017-18.

BACKGROUND: Bangladesh is well advanced in the epidemiologic transition from communicable to noncommunicable diseases, which now account for two out of three deaths annually. This paper examines the latest nationally representative hypertension prevalence estimates, awareness, treatment, and control-to identify their association with potential correlates. METHODS: The analyses are based on the recent Bangladesh Demographic and Health Survey 2017-18 data. Univariate analyses and bivariate analyses between the outcome variables and individual covariates were carried out. Then chi-square tests were done to see the proportional differences between them. To examine the demographic, socioeconomic and biological factors affecting hypertension, awareness, treatment and control, we used multivariate logistic regression models. RESULTS: We found that prevalence of hypertension for females and males together aged 35 or more has risen by half between 2011 (25.7%) to 2017 (39.4%). With the broader age range used in 2017, the prevalence is now 27.5% in the population aged 18 years or more. The factors associated with hypertension included older age, being female, urban residence, higher wealth status, minimal education, higher body mass index and high blood glucose level. Following multivariate analyses, many of these characteristics were no longer significant, leaving only age, being female, nutritional status and elevated blood glucose level as important determinants. Over half (58%) of females and males who were found to be hypertensive were not aware they had the condition. Only one in eight (13%) had the condition under control. CONCLUSION: In the coming years, a rising trend in hypertension in Bangladeshi adults is expected due to demographic transition towards older age groups and increase in overweight and obesity among the population of Bangladesh. With more women being hypertensive than men, a targeted approach catering to high risk groups should be thoroughly implemented following the Multisectoral NCD Action Plan 2018-2025. Acting in close collaboration with other ministries/relevant sectors to bring an enabling environment for the citizens to adopt healthy lifestyle choices is a prerequisite for adequate prevention. While screening the adult population is essential, the public sector cannot possibly manage the ever-expanding numbers of hypertensives. The private sector and NGOs need to be drawn into the program to assist.

Reducing Inequity in Urban Health: Have the Intra-urban Differentials in Reproductive Health Service Utilization and Child Nutritional Outcome Narrowed in Bangladesh?

Bangladesh is undergoing a rapid urbanization process. About one-third of the population of major cities in the country live in slums, which are areas that exhibit pronounced concentrations of factors that negatively affect health and nutrition. People living in slums face greater challenge to improve their health than other parts of the country, which fuels the growing intra-urban health inequities. Two rounds of the Bangladesh Urban Health Survey (UHS), conducted in 2013 and 2006, were designed to examine the reproductive health status and service utilization between slum and non-slum residents. We applied an adaptation of the difference-in-differences (DID) model to pooled data from the 2006 and 2013 UHS rounds to examine changes over time in intra-urban differences between slums and non-slums in key health outcomes and service utilization and to identify the factors associated with the reduction in intra-urban gaps. In terms of change in intra-urban differentials during 2006-2013, DID regression analysis estimated that the gap between slums and non-slums for skilled birth attendant (SBA) during delivery significantly decreased. DID regression analysis also estimated that the gap between slums and non-slums for use of modern contraceptives among currently married women also narrowed significantly, and the gap reversed in favor of slums. However, the DID estimates indicate a small but not statistically significant reduction in the gap between slums and non-slums for child nutritional status. Results from extended DID regression model indicate that availability of community health workers in urban areas appears to have played a significant role in reducing the gap in SBA. The urban population in Bangladesh is expected to grow rapidly in the coming decades. Wide disparities between urban slums and non-slums can potentially push country performance off track during the post-2015 era, unless the specific health needs of the expanding slum communities are addressed. To our knowledge, this is the first systematic explanation and quantification of the role of various factors for improving intra-urban health equity in Bangladesh using nationally representative data. The findings provide a strong rationale for continuing and expanding community-based reproductive health services in urban areas by the NGOs with a focus on slum populations.

Production and use of estimates for monitoring progress in the health sector: the case of Bangladesh.

BACKGROUND:  In order to support the progress towards the post-2015 development agenda for the health sector, the importance of high-quality and timely estimates has become evident both globally and at the country level. OBJECTIVE AND METHODS: Based on desk review, key informant interviews and expert panel discussions, the paper critically reviews health estimates from both the local (i.e. nationally generated information by the government and other agencies) and the global sources (which are mostly modeled or interpolated estimates developed by international organizations based on different sources of information), and assesses the country capacity and monitoring strategies to meet the increasing data demand in the coming years. Primarily, this paper provides a situation analysis of Bangladesh in terms of production and use of health estimates for monitoring progress towards the post-2015 development goals for the health sector. RESULTS: The analysis reveals that Bangladesh is data rich, particularly from household surveys and health facility assessments. Practices of data utilization also exist, with wide acceptability of survey results for informing policy, programme review and course corrections. Despite high data availability from multiple sources, the country capacity for providing regular updates of major global health estimates/indicators remains low. Major challenges also include limited human resources, capacity to generate quality data and multiplicity of data sources, where discrepancy and lack of linkages among different data sources (local sources and between local and global estimates) present emerging challenges for interpretation of the resulting estimates. CONCLUSION: To fulfill the increased data requirement for the post-2015 era, Bangladesh needs to invest more in electronic data capture and routine health information systems. Streamlining of data sources, integration of parallel information systems into a common platform, and capacity building for data generation and analysis are recommended as priority actions for Bangladesh in the coming years. In addition to automation of routine health information systems, establishing an Indicator Reference Group for Bangladesh to analyze data; building country capacity in data quality assessment and triangulation; and feeding into global, inter-agency estimates for better reporting would address a number of mentioned challenges in the short- and long-run.

Effects of individual, household and community characteristics on child nutritional status in the slums of urban Bangladesh.

BACKGROUND: Bangladesh urban population is expected to overtake rural population by 2040, and a significant part of the increase will be in slums. Wide disparities between urban slums and the rest of the country can potentially push country indicators off track unless the specific health and nutrition needs of the expanding slum communities are addressed. The study aims at describing the individual, household and community determinants of undernutrition status among children living in major urban strata, viz. City Corporation slums and non-slums, in order to understand the major drivers of childhood undernutrition in urban slum settings. METHODS: Data are derived from Bangladesh Urban Health Survey conducted in 2013. This survey is a large-scale, nationally representative of urban areas, household survey designed specifically to provide health and nutrition status of women and children in urban Bangladesh. RESULTS: Data showed that 50% of under-5 children in slums are stunted and 43% are underweight, whereas for non-slums these rates are 33 and 26% respectively. In terms of severity, proportion of under-5 children living in slums severely underweight or stunted are nearly double than the children living in non-slums. Logistic analyses indicate that mother's education, child's age, and household's socio-economic status significantly affects stunting and underweight levels among children living in the urban slums. Logistic models also indicate that all individual-level characteristics, except exposure to mass media and mother's working outside home, significantly affect undernutrition levels among children living on non-slums. Among the household- and community-level characteristics, only household's socioeconomic status remains significant for the non-slums. CONCLUSIONS: Poor nutritional status is a major concern in slum areas, particularly as this group is expected to grow rapidly in the next few years. The situation calls for specially designed and well targeted interventions that take into account that many of the mothers are poorer and less educated, which affects their ability to provide care to their children.

Fifteen years of sector-wide approach (SWAp) in Bangladesh health sector: an assessment of progress.

The Ministry of Health and Family Welfare (MOHFW) of the Government of Bangladesh embarked on a sector-wide approach (SWAp) modality for the health, nutrition and population (HNP) sector in 1998. This programmatic shift initiated a different set of planning disciplines and practices along with institutional changes in the MOHFW. Over the years, the SWAp modality has evolved in Bangladesh as the MOHFW has learnt from its implementation and refined the program design. This article explores the progress made, both in terms of achievement of health outcomes and systems strengthening results, since the implementation of the SWAp for Bangladesh's health sector. Secondary analyses of survey data from 1993 to 2011 as well as a literature review of published and grey literature on health SWAp in Bangladesh was conducted for this assessment. Results of the assessment indicate that the MOHFW made substantial progress in health outcomes and health systems strengthening. SWAps facilitated the alignment of funding and technical support around national priorities, and improved the government's role in program design as well as in implementation and development partner coordination. Notable systemic improvements have taken place in the country systems with regards to monitoring and evaluation, procurement and service provision, which have improved functionality of health facilities to provide essential care. Implementation of the SWAp has, therefore, contributed to an accelerated improvement in key health outcomes in Bangladesh over the last 15 years. The health SWAp in Bangladesh offers an example of a successful adaptation of such an approach in a complex administrative structure. Based on the lessons learned from SWAp implementation in Bangladesh, the MOHFW needs to play a stronger stewardship and regulatory role to reap the full benefits of a SWAp in its subsequent programming.

Maternal mortality in Bangladesh: a Countdown to 2015 country case study.

BACKGROUND: Bangladesh is one of the only nine Countdown countries that are on track to achieve the primary target of Millennium Development Goal (MDG) 5 by 2015. It is also the only low-income or middle-income country with two large, nationally-representative, high-quality household surveys focused on the measurement of maternal mortality and service use. METHODS: We use data from the 2001 and 2010 Bangladesh Maternal Mortality Surveys to measure change in the maternal mortality ratio (MMR) and from these and six Bangladesh Demographic and Health Surveys to measure changes in factors potentially related to such change. We estimate the changes in risk of maternal death between the two surveys using Poisson regression. FINDINGS: The MMR fell from 322 deaths per 100,000 livebirths (95% CI 253-391) in 1998-2001 to 194 deaths per 100,000 livebirths (149-238) in 2007-10, an annual rate of decrease of 5·6%. This decrease rate is slightly higher than that required (5·5%) to achieve the MDG target between 1990 and 2015. The key contribution to this decrease was a drop in mortality risk mainly due to improved access to and use of health facilities. Additionally, a number of favourable changes occurred during this period: fertility decreased and the proportion of births associated with high risk to the mother fell; income per head increased sharply and the poverty rate fell; and the education levels of women of reproductive age improved substantially. We estimate that 52% of maternal deaths that would have occurred in 2010 in view of 2001 rates were averted because of decreases in fertility and risk of maternal death. INTERPRETATION: The decrease in MMR in Bangladesh seems to have been the result of factors both within and outside the health sector. This finding holds important lessons for other countries as the world discusses and decides on the post-MDG goals and strategies. For Bangladesh, this case study provides a strong rationale for the pursuit of a broader developmental agenda alongside increased and accelerated investments in improving access to and quality of public and private health-care facilities providing maternal health in Bangladesh. FUNDING: United States Agency for International Development, UK Department for International Development, Bill & Melinda Gates Foundation.

Beliefs and practices during pregnancy and childbirth in urban slums of Dhaka, Bangladesh.

BACKGROUND: Worldwide urbanization has become a crucial issue in recent years. Bangladesh, one of the poorest and most densely-populated countries in the world, has been facing rapid urbanization. In urban areas, maternal indicators are generally worse in the slums than in the urban non-slum areas. The Manoshi program at BRAC, a non governmental organization, works to improve maternal, newborn, and child health in the urban slums of Bangladesh. This paper describes maternal related beliefs and practices in the urban slums of Dhaka and provides baseline information for the Manoshi program. METHODS: This is a descriptive study where data were collected using both quantitative and qualitative methods. The respondents for the quantitative methods, through a baseline survey using a probability sample, were mothers with infants (n = 672) living in the Manoshi program areas. Apart from this, as part of a formative research, thirty six in-depth semi-structured interviews were conducted during the same period from two of the above Manoshi program areas among currently pregnant women who had also previously given births (n = 18); and recently delivered women (n = 18). RESULTS: The baseline survey revealed that one quarter of the recently delivered women received at least four antenatal care visits and 24 percent women received at least one postnatal care visit. Eighty-five percent of deliveries took place at home and 58 percent of the deliveries were assisted by untrained traditional birth attendants. The women mostly relied on their landladies for information and support. Members of the slum community mainly used cheap, easily accessible and available informal sectors for seeking care. Cultural beliefs and practices also reinforced this behavior, including home delivery without skilled assistance. CONCLUSIONS: Behavioral change messages are needed to increase the numbers of antenatal and postnatal care visits, improve birth preparedness, and encourage skilled attendance at delivery. Programs in the urban slum areas should also consider interventions to improve social support for key influential persons in the community, particularly landladies who serve as advisors and decision-makers.

Epidemiological transition in rural Bangladesh, 1986-2006.

BACKGROUND: For understanding epidemiological transition, Health and Demographic Surveillance System plays an important role in developing and resource-constraint setup where accurate information on vital events (e.g. births, deaths) and cause of death is not available. METHODS: This study aimed to assess existing level and trend of causes of 18,917 deaths in Matlab, a rural area of Bangladesh, during 1986-2006 and to project future scenarios for selected major causes of death. RESULTS: The results demonstrated that Matlab experienced a massive change in the mortality profile from acute, infectious, and parasitic diseases to non-communicable, degenerative, and chronic diseases during the last 20 years. It also showed that over the period 1986-2006, age-standardized mortality rate (for both sexes) due to diarrhea and dysentery reduced by 86%, respiratory infections by 79%, except for tuberculosis which increased by 173%. On the other hand, during the same period, mortality due to cardiovascular and cerebrovascular diseases increased by a massive 3,527% and malignant neoplasms by 495%, whereas mortality due to chronic obstructive pulmonary disease and injury remained in the similar level (12-13% increase). CONCLUSION: The trend of selected causes of death demonstrates that in next two decades, deaths due to communicable diseases will decline substantially and the mortality due to non-communicable diseases (NCDs) will increase at massive proportions. Despite Matlab's significant advances in socio-demographic indicators, emergence of NCDs and mortality associated with it would be the major cause for concern in the coming years.

Newborn care practices among slum dwellers in Dhaka, Bangladesh: a quantitative and qualitative exploratory study.

BACKGROUND: Urbanization is occurring at a rapid pace, especially in low-income countries. Dhaka, Bangladesh, is estimated to grow to 50 million by 2015, with 21 million living in urban slums. Although health services are available, neonatal mortality is higher in slum areas than in urban non-slum areas. The Manoshi program works to improve maternal, newborn, and child health in urban slums in Bangladesh. This paper describes newborn care practices in urban slums in Dhaka and provides program recommendations. METHODS: A quantitative baseline survey was conducted in six urban slum areas to measure newborn care practices among recently delivered women (n = 1,256). Thirty-six in-depth semi-structured interviews were conducted to explore newborn care practices among currently pregnant women (n = 18) and women who had at least one delivery (n = 18). RESULTS: In the baseline survey, the majority of women gave birth at home (84%). Most women reported having knowledge about drying the baby (64%), wrapping the baby after birth (59%), and cord care (46%). In the in-depth interviews, almost all women reported using sterilized instruments to cut the cord. Babies are typically bathed soon after birth to purify them from the birth process. There was extensive care given to the umbilical cord including massage and/or applying substances, as well as a variety of practices to keep the baby warm. Exclusive breastfeeding was rare; most women reported first giving their babies sweet water, honey and/or other foods. CONCLUSION: These reported newborn care practices are similar to those in rural areas of Bangladesh and to urban and rural areas in the South Asia region. There are several program implications. Educational messages to promote providing newborn care immediately after birth, using sterile thread, delaying bathing, and ensuring dry cord care and exclusive breastfeeding are needed. Programs in urban slum areas should also consider interventions to improve social support for women, especially first time mothers. These interventions may improve newborn survival and help achieve MDG4.