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Background Despite improvements in many health indicators, providing access to affordable healthcare remains a considerable challenge in Bangladesh. Financing incidence analysis will enable an evaluation of how well the healthcare system performs to achieve equity in health financing. The objective of this study is to assess the burden of out-of-pocket (OOP) cost on different socio-economic groups by assessing the health financing incidence because OOP cost dominates household expenditure on health in Bangladesh. Methods The study was conducted using latest Household Income and Expenditure Survey (HIES) 2016. We focused mainly on four specific indicators: level of monthly household OOP cost on in-patient care, urban-rural differences in OOP cost, socio-economic status differences in different payment mechanisms and the Kakwani index. Descriptive statistics were employed to analyse and summarise the selected variables based on the SES and location of residence (e.g., rural and urban). Results The study showed the overall OOP healthcare expenditure was 7.7% of the household monthly income while the poorer income group suffered more and spent up to 35% of their household income on healthcare. The Kakwani index indicated that the poorest quintile spends a greater share of their income on healthcare services than the richest quintile. Conclusions This study observed that OOP cost in Bangladesh is regressive, that is, poorer members of society contribute a greater share of their income. Therefore, policymakers should initiate health reforms for developing and implementing risk-pooling financing mechanisms such as social health insurance to achieve the Universal Health Coverage in Bangladesh.

IntroductionAlong with the developing world, Bangladesh has made a tremendous improvement in declining total fertility rate, however, this declining trend is not uniform to all the socio-demographic stratum. Incongruities exist between the numbers of children that women bearing and what they actually desired which refers to unmet fertility desire. This study aims to elicit women’s perception of ideal number of children and predictors of unmet fertility desire in Bangladesh.MethodThis study analyzed nationally representative cross-sectional Bangladesh Demographic and Health Survey 2014 data. A two-stage stratified random sampling technique was used while a total of 17,863 ever-married women were interviewed between June and November 2014. A total of 10,912 eligible women were included in the analysis. Poisson regression analysis and logistic regression models were used to measure women’s perception of the ideal number of children and to determine the influencing factors of unmet fertility desires.ResultThe mean value of the perceived ideal number of children was 2.22 (SD ± 0.73) and the majority of women (71.2%) expect to have two children in their lifetime. Approximately 46% of mothers reported bearing more children than they desired. The perceived ideal number of children was significantly higher among women who were living in rural areas, from Sylhet division, Muslim, unemployed, and experienced child death and those who justified beating. Findings revealed that several factors such as place of residence, geographic location, religion, wealth index, maternal age and education, partners’ education, experiencing child death, and other empowerment-related indicators were significantly associated with unmet fertility desires.ConclusionPerceived ideal number of children differs among women’s socioeconomic and demographic strata. Unmet fertility desire was also found which indicates that reproductive knowledge and health care services are

Objectives To determine the sex-specific prevalence, inequality and factors associated with healthcare utilisation for diabetes mellitus (DM), hypertension and comorbidity among the adult population of Bangladesh.Study design This study analysed cross-sectional nationwide Bangladesh Demographic and Health Survey data from 2011. Comorbidity was defined as the coexistence of both DM and hypertension. Several socioeconomic and demographic factors such as age, sex, education, geographic location, administrative division, employment status, education and wealth index were considered as major explanatory variables. Inequality in prevalence and healthcare utilisation was measured using the ‘Lorenz curve’. Adjusted multiple logistic regression models were performed to observe the effects of different factors and reported as adjusted ORs (AORs) with 95% CIs. A p value of <0.05 was adopted as the level of statistical significance.Setting The study was conducted in Bangladesh.Participants A total of 7521 adult participants with availability of biomarkers information were included.Results The mean age of the study participants was 51.4 years (SD ±13.0). The prevalence of hypertension, diabetes and comorbidity were 29.7%, 11.0% and 4.5% respectively. Socioeconomic inequality was observed in the utilisation of healthcare services. A higher prevalence of hypertension and comorbidity was significantly associated with individuals aged >70 years (AOR 7.0, 95% CI 5.0 to 9.9; AOR 6.7, 95% CI 3.0 to 14.9). The risk of having hypertension, diabetes and comorbidity were significantly higher among more educated, unemployed as well as among individuals from Khulna division.Conclusions The study revealed a rising prevalence of hypertension, diabetes and comorbidity with inequality in service utilisation. A joint effort involving public, private and non-governmental organisations is necessary to ensure improved accessibility in service utilisation and to reduce the di

Background and Objectives: In line with the global success of immunization, Senegal achieved impressive progress in childhood immunization program. However, immunization coverage is often below the national and international targets and even not equally distributed across the country. The objective of this study is to estimate the full immunization coverage across the geographic regions and identify the potential factors of full immunization coverage among the Senegalese children. Materials and Methods: Nationally representative dataset extracted from the latest Continuous Senegal Demographic and Health Survey 2017 was used for this analysis. Descriptive statistics such as the frequency with percentage and multivariable logistic regression models were constructed and results were presented in terms of adjusted odds ratio (AOR) with a 95% confidence interval (CI). Results: Overall, 70.96% of Senegalese children aged between 12 to 36 months were fully immunized and the coverage was higher in urban areas (76.51%), west ecological zone (80.0%), and among serer ethnic groups (77.24%). Full immunization coverage rate was almost the same between male and female children, and slightly higher among the children who were born at any health care facility (74.01%). Children who lived in the western zone of Senegal were 1.66 times (CI: 1.25–2.21; p = 0.001) and the children of Serer ethnic groups were 1.43 times (CI: 1.09–1.88; p = 0.011) more likely to be fully immunized than the children living in the southern zone and from the Poular ethnic group. In addition, children who were born at health facilities were more likely to be fully immunized than those who were born at home (AOR = 1.47; CI: 1.20–1.80; p < 0.001), and mothers with recommended antenatal care (ANC) (4 and more) visits during pregnancy were more likely to have their children fully immunized than those mother with no ANC visits (AOR: 2.06 CI: 1.19–3.57; p = 0.010). Conclusions: Immunizat