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Background Since March 2020, the 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, to determine whether COVID-19 affected reporting of service utilization and the use of health services. 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 effect on health services. Findings: The time trends 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.

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.

UNSTRUCTURED Given the low Covid-19 testing coverage in the country, this study tested whether the daily change in the number of new Covid-19 cases is due to increase (or decrease) in the number of tests done daily. We performed Granger causality test based on vector autoregressive models on Bangladesh case and test numbers between 8 March and 5 June 2020, using publicly available data. The test results show that the daily number of tests Granger-cause the number of new cases (p

Given the low Covid-19 testing coverage in the country, this study tested whether the daily change in the number of new Covid-19 cases is due to increase (or decrease) in the number of tests done daily. We performed Granger causality test based on vector autoregressive models on Bangladesh’s case and test numbers between 8 March and 5 June 2020, using publicly available data. The test results show that the daily number of tests Granger-cause the number of new cases (p

Educational attainment among women is a well-recognized predictor for maternal mortality. Data from nationally representative surveys and the United Nations are used in the analysis for estimating maternal mortality due to improved education status up to 2030. Analysis of data from 2001 and 2010 Bangladesh Maternal Mortality Survey shows that MMR varies considerably by education level. The study shows that during 2011–2030, 15% maternal deaths will be averted due to fertility change (i.e. fewer births) and 24% of the maternal deaths can be averted only by improving the female education levels. However, in order to achieve the Ending Preventable Maternal Mortality (EPMM) target of 59 maternal deaths per 100,000 live births by 2030 for Bangladesh, a further 64% reduction will be required. Factors outside the health sector, like female education, will continue to have an impact maternal mortality in Bangladesh. However, reaching the EPMM target for Bangladesh by 2030 will also require significant investments in maternal health programs, in particular those to increase access to and quality of services.

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.

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.

Using Matlab demographic surveillance data (HDSS), we assess if misreporting of age at marriage could be contributing to the apparent persistence of early marriage in Bangladesh. A random sample of 1766 women aged 15–29 born in HDSS area was selected. Almost two-thirds misreported their age at marriage, but not randomly—56 percent under-reported while seven percent over-reported their age at first marriage.Among the currently married group aged 20–24, the reported mean age at first marriage was 16.8 years, comparable to 16.6 years given by Bangladesh Demographic and Health Survey 2011 for the same age group. However a cross-check with their actual dates of birth recorded in the Matlab HDSS database reveals that the true mean age at first marriage was 18.6 years—giving an average difference of almost two years between reported and actual ages at marriage. The paper identifies rising dowry as a likely determinant of age misreporting.

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.

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.

This paper illustrates the importance of collecting facility-based data through regular surveys to supplement the administrative data, especially for developing countries of the world. In Bangladesh, measures based on facility survey indicate that only 70% of very basic medical instruments and 35% of essential drugs were available in health facilities. Less than 2% of officially designated obstetric care facilities actually had required drugs, injections and personnel on-site. Majority of (80%) referral hospitals at the district level were not ready to provide comprehensive emergency obstetric care. Even though the Management Information System reports availability of diagnostic machines in all district-level and sub-district-level facilities, it fails to indicate that 50% of these machines are not functional. In terms of human resources, both physicians and nurses are in short supply at all levels of the healthcare system. The physician-nurse ratio also remains lower than the desirable level of 3.0. Overall job satisfaction index was less than 50 for physicians and 66 for nurses. Patient satisfaction score, however, was high (86) despite the fact that process indicators of service quality were poor. Facility surveys can help strengthen not only the management decision-making process but also the quality of administrative data.

The study examined noncommunicable diseases risk factors among adults 25 to 64 years old of the Matlab Health and Demographic Surveillance System using World Health Organization STEP-wise methodology. The prevalence of smoking was found to be very high for males (53.9%) and it increased initially with age, whereas smoking was almost nil for females (0.8%). About 30% each of males and females used smokeless tobacco and its consumption increased with age. Consumption of vegetable/fruit is very low in this population (90% below recommended level), whereas one third of males and two thirds of female have low levels of physical activities. The raised blood pressure was more prevalent among females than in males (21.0% vs 12.5%, respectively) and the same was true for being overweight (13.9% vs 10.3%, respectively). Raised blood pressure increased with age but overweight did not vary by age for males, whereas it increased initially for females. Smoking (males) and use of smokeless tobacco decreased with increase in education, but both blood pressure and overweight increased.

This paper is a country case study for the Universal Health Coverage Collection, organized by WHO. Tanvir Mahmudul Huda and colleagues illustrate progress towards UHC and its monitoring and evaluation in Bangladesh. Please see later in the article for the Editors' Summary

Summary 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.

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.

Bangladesh is committed to achieving universal health coverage (UHC) by 2032; to this end, the government of Bangladesh is exploring policy options to increase fiscal space for health and expand coverage while improving service quality and availability. Despite Bangladesh’s impressive strides in improving its economic and social development outcomes, the government still confronts health financing and service delivery challenges. In its review of the health system, this study highlights the limited fiscal space for implementing UHC in Bangladesh, particularly given low public spending for health and high out-of-pocket expenditure. The crisis in the country’s human resources for health (HRH) compounds public health service delivery inefficiencies. As the government explores options to finance its UHC plan, it must recognize that reform of its service delivery system with particular focus on HRH has to be the centerpiece of any policy initiative.