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This report is organized in such a way that the key policy options and strategic priorities are based on the country context, including the burden of non-communicable diseases (NCDs) and associated risk factors and the existing capacity of the health system. Chapter one describes the country and regional contexts and the evidence of the demographic and epidemiological transitions in Bangladesh; chapter two outlines the disease burden of major NCDs, including the equity and economic impact and the common risk factors; chapter three provides an assessment of the health system and its capacity to prevent and control major NCDs; chapter four summarizes ongoing NCD interventions and activities in Bangladesh and highlights the remaining gaps and challenges; and chapter five presents key policy options and strategic priorities to prevent and control NCDs.

Chronic non-communicable diseases (NCDs) are a major public health challenge, and undermine social and economic development in much of the developing world, including Bangladesh. Epidemiologic evidence on the socioeconomic status (SES)-related pattern of NCDs remains limited in Bangladesh. This study assessed the relationship between three chronic NCDs and SES among the Bangladeshi population, paying particular attention to the differences between urban and rural areas. Data from the 2011 Bangladesh Demographic and Health Survey were used for this study. Using a concentration index (CI), we measured relative inequality across pre-diabetes, diabetes, pre-hypertension, hypertension, and BMI (underweight, normal weight, and overweight/obese) in urban and rural areas in Bangladesh. A CI and its associated curve can be used to identify whether socioeconomic inequality exists for a given health variable. In addition, we estimated the health achievement index, integrating mean coverage and the distribution of coverage by rural and urban populations. Socioeconomic inequalities were observed across diseases and risk factors. Using CI, significant inequalities observed for pre-hypertension (CI = 0.09, p = 0.001), hypertension (CI = 0.10, p = 0.001), pre-diabetes (CI = -0.01, p = 0.005), diabetes (CI = 0.19, p<0.001), and overweight/obesity (CI = 0.45, p<0.001). In contrast to the high prevalence of the chronic health conditions among the urban richest, a significant difference in CI was observed for pre-hypertension (CI = -0.20, p = 0.001), hypertension (CI = -0.20, p = 0.005), pre-diabetes (CI = -0.15, p = 0.005), diabetes (CI = -0.26, p = 0.004) and overweight/obesity (CI = 0.25, p = 0.004) were observed more among the low wealth quintiles of rural population. In the same vein, the poorest rural households had more co-morbidities compared to the richest rural households (p = 0.003), and prevalence of co-morbidities was much higher for the richest urban households compared to the poorest urban households. On the other hand in rural the \"disachievement\" of health indicators is more noticeable than the urban ones. The findings indicate the high burden of selected NCDs among the low wealth quintile populations in rural areas and wealthy populations in urban areas. Particular attentions may be necessary to address the problem of NCDs among these groups.

In the absence of universal healthcare protection, out-of-pocket (OOP) expenditures are the main source of healthcare financing in Bangladesh. This study assesses the disparities in the overall and the components of OOP expenditures among households with both chronic and acute illnesses compared to those having acute illnesses only. It also identifies factors influencing OOP expenditures over time and examines patterns related to various illness conditions. Data from the Household Income and Expenditure Surveys (HIES) of 2016-17 and 2022 were used. A Log-linear Multiple Regression Model was employed to identify factors influencing OOP expenditures in households with different disease profiles. The average OOP expenditures increased significantly from 2016 to 2022, even after inflation adjustments. Higher expenditures were observed in urban households BDT 939.34 in 2016 and BDT 1605.36 in 2022, and in households having both chronic and acute illness conditions with OOP expenditure of BDT 2290.43 and BDT 3525.32 in 2016 and 2022 respectively. Wealthier households spent more on healthcare, with the cost of medicines being the largest component with over 50% of total OOP expenditures. The regression analysis suggests that area of residence (urban vs rural), household size, level of education of the household head, the presence of elderly members (≥60 years), the number of employed members and sick household members, and hospitalisation of household members were mainly responsible for higher OOP expenditure. Our study provides valuable insights on the determinants of OOP expenditures over time, with a notable increase among households managing both chronic and acute illnesses, and in urban areas. Key contributors to increased expenditures include medicines, medical tests and surgery costs, with cancer causing higher expenses. This study recommends improving treatment protocols help reduce unnecessary prescriptions of medicine and investigations, and alleviate financial burdens of the vulnerable population.

Because of the rapid increase of non-communicable diseases (NCDs) and high burden of healthcare-related financial issues in Bangladesh, there is a concern that out-of-pocket (OOP) payments related to illnesses may become a major burden on household. It is crucial to understand what are the major illnesses responsible for high OPP at the household level to help policymakers prioritize key areas of actions to protect the household from 100% financial hardship for seeking health care as part of universal health coverage. We first estimated the costs of illnesses among a population in urban Bangladesh, and then assessed the household financial burden associated with these illnesses. A cross-sectional survey of 1593 randomly selected households was carried out in Bangladesh (urban area of Rajshahi city), in 2011. Catastrophic expenditure was estimated at 40% threshold of household capacity to pay. We employed the Bayesian two-stage hurdle model and Bayesian logistic regression model to estimate age-adjusted average cost and the incidence of household financial catastrophe for each illness, respectively. Overall, approximately 45% of the population of Bangladesh had at least one episode of illness. The age-sex-adjusted average medical expenses and catastrophic health care expenditure among the households were TK 621 and 8%, respectively. Households spent the highest amount of money 7676.9 on paralysis followed by liver disease (TK 2695.4), injury (TK 2440.0), mental disease (TK 2258.0), and tumor (TK 2231.2). These diseases were also responsible for higher incidence of financial catastrophe. Our study showed that 24% of individuals who suffered typhoid incurred catastrophic expenditure followed by liver disease (12.3%), tumor (12.1%), heart disease (8.4%), injury (7.9%), mental disease (7.9%), cataract (7.1%), and paralysis (6.5%). The study findings suggest that chronic illnesses were responsible for high costs and high catastrophic expenditures in Bangladesh. Effective risk pooling mechanism might reduce household financial burden related to illnesses. Chronic illness related to NCDs is the major cause of OOP. It is also important to consider prioritizing vulnerable population by subsidizing the high health care cost for some of the chronic illnesses.

Socioeconomic status (SES) is a strong social determinant of health. There remains a limited understanding of the association between SES and COPD prevalence among low- and middle-income countries where the majority of COPD-related morbidity and mortality occurs. We examined the association between SES and COPD prevalence using data collected in Argentina, Bangladesh, Chile, Peru, and Uruguay. We compiled lung function, demographic, and SES data from three population-based studies for 11,042 participants aged 35-95 years. We used multivariable alternating logistic regressions to study the association between COPD prevalence and SES indicators adjusted for age, sex, self-reported daily smoking, and biomass fuel smoke exposure. Principal component analysis was performed on monthly household income, household size, and education to create a composite SES index. Overall COPD prevalence was 9.2%, ranging from 1.7% to 15.4% across sites. The adjusted odds ratio of having COPD was lower for people who completed secondary school (odds ratio [OR] =0.73, 95% CI 0.55-0.98) and lower with higher monthly household income (OR =0.96 per category, 95% CI 0.93-0.99). When combining SES factors into a composite index, we found that the odds of having COPD was greater with lower SES (interquartile OR =1.23, 95% CI 1.05-1.43) even after controlling for subject-specific factors and environmental exposures. In this analysis of multiple population-based studies, lower education, lower household income, and lower composite SES index were associated with COPD. Since household income may be underestimated in population studies, adding household size and education into a composite index may provide a better surrogate for SES.

Our study examines the mental health impacts of the flood, focusing on depression, anxiety, and stress, utilizing the Depression, Anxiety, and Stress Scale-21 (DASS-21). A total of 451 adult residents were surveyed through face-to-face interviews, selected via convenience and snowball sampling to ethically and effectively reach displaced, hard-to-access individuals affected by the 2024 flash flood in Cumilla District, Bangladesh. The survey collected data on sociodemographic factors, flood-related experiences, and the prevalence of mental health issues. Statistical analyses, including stepwise backward and multiple linear regression, identified key associations between sociodemographic variables (e.g., gender, age, education, chronic illness) and mental health outcomes. The results revealed a high prevalence of mental health disorders: 59.87% of participants experienced extremely severe anxiety, 37.69% experienced extremely severe depression, and 25.72% reported severe stress. Key predictors of mental health challenges included gender, age, education, and chronic illness, with women, older adults, and those with lower educational levels or chronic illnesses being particularly vulnerable. The study highlights the urgent need for targeted mental health interventions and enhanced disaster preparedness in flood-prone regions. Strengthening social networks, improving disaster management education, and addressing the vulnerabilities of specific groups are essential steps in building resilience against future natural disasters.

The economic burden of noncommunicable diseases (NCDs), including treatment costs and income and productivity losses, is a growing concern in developing countries, where NCD medical expenditure may offset consumption of other essential commodities. This study examines the role of NCDs in household resource allocation in Bangladesh. We use the Bangladesh Household Income and Expenditure Survey (HIES) 2010 to obtain expenditure data on 11 household expenditure categories and 12 food expenditure sub-categories for 12,240 households. Household NCD status was determined through self-report of at least one of the six major NCDs within the household-heart disease, hypertension, diabetes, kidney diseases, asthma, and cancer. We estimated unadjusted and regression-adjusted differences in household expenditure shares between NCD and non-NCD households. We further investigated how consumption of different food sub-categories is related to NCD status, distinguishing between household economic levels. The medical expenditure share was estimated to be 59% higher for NCD households than non-NCD households, and NCD households had lower expenditure shares on food, clothing, hygiene, and energy. Regression results indicated that presence of NCDs was associated with lower relative expenditure on clothing and housing in all economic subgroups, and with lower expenditure on food among marginally poor households. Having an NCD was significantly associated with higher household spending on tobacco and higher-calorie foods such as sugar, beverages, meat, dairy, and fruit, and with lower spending on fish, vegetables, and legumes. The findings indicate a link between NCDs and the possibility of adverse economic effects on the household by highlighting the potential displacement effect on household consumption that might occur through higher medical expenditure and lower spending on essentials. The findings might also point to a need for raising awareness about the link between NCDs and diet in Bangladesh.

Vaccination is fast becoming a key intervention against the ongoing COVID-19 pandemic. We conducted cross-sectional online surveys to investigate COVID-19 vaccine acceptance across nine Low- and Middle-Income Countries (LMICs; N = 10,183), assuming vaccine effectiveness at 90% and 95%. The prevalence of vaccine acceptance increased from 76.4% (90% effectiveness) to 88.8% (95% effectiveness). Considering a 90% effective vaccine, Malaysia, Thailand, Bangladesh, and five African countries (Democratic Republic of Congo, Benin, Uganda, Malawi, and Mali) had lower acceptance odds compared to Brazil. Individuals who perceived taking the vaccine as important to protect themselves had the highest acceptance odds (aOR 2.49) at 95% effectiveness.Vaccine acceptance was also positively associated with COVID-19 knowledge, worry/fear regarding COVID-19, higher income, younger age, and testing negative for COVID-19. However, chronic disease and female gender reduced the odds for vaccine acceptance. The main reasons underpinning vaccine refusal were fear of side effects (41.2%) and lack of confidence in vaccine effectiveness (15.1%). Further research is needed to identify country-specific reasons for vaccine hesitancy in order to develop mitigation strategies that would ensure high and equitable vaccination coverage across LMICs.

While conventional medicine (CM) is commonly used to treat non-communicable diseases (NCDs), complementary and alternative medicine (CAM) is gaining popularity as a healthcare option in Bangladesh. We aimed to investigate the prevalence and factors associated with using CAM solely and using CAM in conjunction with CM for chronic illness treatment among NCD patients in Bangladesh. A multicenter cross-sectional study was conducted, including 549 adults with a confirmed chronic illness diagnosis from three tertiary care hospitals in Dhaka city. Interviews were used to gather socio-demographic data, while medical records were used to get information on chronic illnesses. A multinomial logistic regression model was used to determine the associated factors of utilizing CAM primarily and CAM use in conjunction with CM to manage the chronic disease. Out of 549 NCD patients (282 women [51.4%], mean [standard deviation] age 45.4 [12.8] years), 180 (32.8%) ever used CAM for the treatment of chronic illness. Also, 15.3% of patients exclusively used CAM among the NCD patients, while 17.5% used CAM in conjunction with CM. Homeopathy medicine was the most prevalent type of treatment among CAM users (52.2%). Furthermore, 55.5% of CAM users said they used it due to its less adverse effects, and 41.6% trusted its effectiveness for chronic illness. Elderly patients (≥60 years) preferred CAM in complementary with CM, but they did not rely only on CAM. According to the multinomial regression analysis, unmarried patients, predominantly in the younger age group, adopted CAM significantly for chronic illness treatment (Relative risk ratio, RRR = 0.29, 95% CI = 0.12-0.71, reference = Unmarried). Patients in the high-income group used CAM in conjunction with CM (RRR = 6.26, 95% CI = 1.35-18.90, reference: low-income), whereas patients in the high-income group did not rely on CAM alone (RRR = 0.99, 95% CI = 0.34-2.85). Although CM remains the mainstream of health care in Bangladesh, CAM services play an essential role in people's health care, particularly in treating chronic illnesses. Physicians of Bangladesh should be aware that their patients may be using other services and be prepared to ask and answer questions regarding the risks and benefits of using CAM in addition to regular medical care. Thus, clinicians required to follow best-practice guidelines, which are currently not practiced in Bangladesh, when disseminating information regarding integrative techniques that combine CM and CAM approaches.