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Bangladesh is a culturally conservative nation with limited freedom for women. A number of studies have evaluated intimate partner violence (IPV) and spousal physical violence in Bangladesh; however, the views of women have been rarely discussed in a quantitative manner. Three nationwide surveys in Bangladesh (2007, 2011, and 2014) were analyzed in this study to characterize the most vulnerable households, where women themselves accepted spousal physical violence as a general norm. 31.3%, 31.9% and 28.7% women in the surveys found justification for physical violence in household in 2007, 2011 and 2014 respectively. The binary logistic model showed wealth index, education of both women and their partner, religion, geographical division, decision making freedom and marital age as significant household contributors for women’s perspective in all the three years. Women in rich households and the highly educated were found to be 40% and 50% less likely to accept domestic physical violence compared to the poorest and illiterate women. Similarly, women who got married before 18 years were 20% more likely accept physical violence in the family as a norm. Apart from these particular groups (richest, highly educated and married after 18 years), other groups had around 30% acceptance rate of household violence. For any successful attempt to reduce spousal physical violence in the traditional patriarchal society of Bangladesh, interventions must target the most vulnerable households and the geographical areas where women experience spousal violence. Although this paper focuses on women’s attitudes, it is important that any intervention scheme should be devised to target both men and women. [ABSTRACT FROM AUTHOR]

The advent of cheap smartphones in rural areas across the globe presents an opportunity to change the mode with which researchers engage hard-to-reach populations. In particular, smartphones allow researchers to connect with respondents more frequently than standard household surveys, opening a new window into important short-term variability in key measures of household and community wellbeing. In this paper, we present early results from a pilot study in rural Bangladesh using a ‘microtasks for micropayments’ model to collect a range of community and household living standards data using Android smartphones. We find that more frequent task repetition with shorter recall periods leads to more inclusive reporting, improved capture of intra-seasonal variability, and earlier signals of events such as illness. Payments in the form of mobile talk time and data provide a positive development externality in the form of expanded access to mobile internet and social networks. Taken to scale, programs such as this have potential to transform data collection in rural areas, providing near-real-time windows into the development of markets, the spread of illnesses, or the diffusion of ideas and innovations. [ABSTRACT FROM AUTHOR]

Ensuring access to healthcare in emergency health situations is a persistent concern for health system planners. Emergency services, including critical care units for severe burns and coronary events, are amongst those for which travel time is the most crucial, potentially making a difference between life and death. Although it is generally assumed that access to healthcare is not an issue in densely populated urban areas due to short distances, we prove otherwise by applying improved methods of assessing accessibility to emergency services by the urban poor that take traffic variability into account. Combining unique data on emergency health service locations, traffic flow variability and informal settlements boundaries, we generated time-cost based service areas to assess the extent to which emergency health services are reachable by urban slum dwellers when realistic traffic conditions and their variability in time are considered. Variability in traffic congestion is found to have significant impact on the measurement of timely access to, and availability of, healthcare services for slum populations. While under moderate traffic conditions all slums in Dhaka City are within 60-minutes travel time from an emergency service, in congested traffic conditions only 63% of the city’s slum population is within 60-minutes reach of most emergency services, and only 32% are within 60-minutes reach of a Burn Unit. Moreover, under congested traffic conditions only 12% of slums in Dhaka City Corporation comply with Bangladesh’s policy guidelines that call for access to 1 health service per 50,000 population for most emergency service types, and not a single slum achieved this target for Burn Units. Emergency Obstetric Care (EmOC) and First Aid & Casualty services provide the best coverage, with nearly 100% of the slum population having timely access within 60-minutes in any traffic condition. Ignoring variability in traffic conditions results in a 3-fold overestimation of geographic coverage and masks intra-urban inequities in accessibility to emergency care, by overestimating geographic accessibility in peripheral areas and underestimating the same for central city areas. The evidence provided can help policy makers and urban planners improve health service delivery for the urban poor. We recommend that taking traffic conditions be taken into account in future GIS-based analysis and planning for healthcare service accessibility in urban areas. [ABSTRACT FROM AUTHOR]

Introduction: Dietary diversity score (DDS) is a proxy indicator for measuring nutrient adequacy. In this study, we aimed to identify the nutritional statuses and current patterns of DDS among children between 6–59 months old and their associations with different individual and household level factors in rural Bangladesh. Methods: The Nobokoli programme of World Vision Bangladesh was implemented in Mymensingh, Sherpur, Rangpur, Dinajpur, Thakurgaon, Panchagar, and Nilphamari districts of Bangladesh between 2014 and 2017. A cross-sectional community household survey was administered between July and October 2014 to collect baseline data to evaluate the Nobokoli programme. A total of 6,468 children between 6–59 months old were included in the final analysis. Anthropometric data was collected following WHO guidelines on using wooden height and digital weight scales. We collected food intake information for the past 24 hours of the survey. The WHO’s child growth standard medians were used to identify the nutritional indices of stunting, wasting, and underweight. Food items consumed were categorized into nine food groups and the DDS was constructed by counting the consumption of food items across these groups during the preceding 24 hour period. The association of DDS and nutritional status (stunting, wasting and underweight) with sociodemographic factors and household food security status were examined using multivariable models; linear regression and logistics regression respectively. Results: The prevalence of stunting, wasting and underweight among children aged 6-59months were 36.8%, 18.2% and 37.7% respectively. Our findings revealed that almost all children ate any form of starch followed by consumption of milk or milk products (76%) and fleshy meat /fish (61%) respectively. The mean DDS among children was 3.93(sd 1.47). Forty percent of the children obtained a DDS score less than 4. Multivariable analysis suggested that children whose mothers had higher educational attainment and are skilled workers had higher DDS (15% and 48% respectively) compared to their counterparts. The DDS showed strong positive association with household wealth status. Children from food secure households had 26% higher DDS compared to children from food insecure households. Similarly, increasing maternal education and household wealth were found to be protective against childhood stunting and undernutrition. Discussion: Our findings reiterate the need for improving household socioeconomic factors and household food security status for improving dietary diversity practices and nutritional status of children. Evidence-based solutions are needed to be implemented and expanded at scale to ensure appropriate dietary practices and improve nutritional status of the children in local context. [ABSTRACT FROM AUTHOR]

Background: Millions of children and others across the world are being dangerously exposed to tobacco smoke and toxins in their own homes. Whilst there is limited interest in laws and interventions controlling tobacco use in public places in Bangladesh, no attention has been given to preventing tobacco-use inside homes. This study explores the familial and socio-cultural factors that provide obstacles for ensuring tobacco-free homes in Bangladesh. Materials and methods: A mixed-method design was adopted and from among the 1,436 tobacco users identified in a population of 11,853, 400 (tobacco users) were selected for cross-sectional survey. This survey involved a probability proportional sampling procedure, and 24 In-Depth Interviews. Multivariate logistic regression was performed to explore the association of familial and socio-cultural factors with tobacco-use at home adjusted by other demographic characteristics. Thematic content analysis was done on the qualitative data, and then inferences were drawn out collectively. Results: This study revealed that the prevalence of tobacco-use in the home was 25.7% in urban residential areas in Bangladesh. Multivariate logistic regression analysis identified that familial and socio-cultural factors were significantly associated with tobacco-use at home: marital status (OR 3.23, 95% CI: 1.37–6.61), education (OR 2.14, 95% CI: 1.15–3.99), smoking habits of older family members (OR 1.81 95% CI: 0.91–2.89), tobacco being offered as hospitality and for entertainment (OR 1.85, 95% CI: .94–2.95) and lack of religiosity practice (OR 2.39, 95% CI: 1.27–4.54). Qualitative findings indicated that social customs, lack of religious practice, tobacco-use of older family members, and lack of family guidance were key obstacles for enabling tobacco-free homes in urban areas. Conclusion: Use of tobacco at home is continuing as part of established familial and socio-cultural traditions. If tobacco-use at home is not addressed seriously by the authorities then the emerging threat of second-hand smoke exposure and harmful consequences of tobacco- use will be exacerbated. [ABSTRACT FROM AUTHOR]

Background: In recent years, Bangladesh government has accomplished the ambitious project of establishing hospitals 18,000 Community Health Clinics in sub-districts across the country. Operating under the affiliation of the government hospitals, these community health clinics aim to provide free healthcare services and to increase health-awareness among the extreme poor communities in the rural areas. However, a great proportion of the people are still not well aware of the services offered by the community health clinics. Thus, it is imperative to identify the factors of awareness regarding the community clinics. Research-based evidence is necessary to improve the efficacy and service coverage of community clinics among key population. Methods: Cross-sectional data of size 11,673 women aged 15 to 49 years living in rural settings across seven divisions were extracted from the latest Bangladesh Demographic and Health Survey 2014. The main outcome measures of our study were awareness and utilization of Community Clinic Services (CCs). Descriptive statistics were used to present the baseline socio-demographic and economic characteristics; Chi-square test and logistic regression were performed to identify the factors associated with awareness of community clinics. Results: About one-third (36.7%) of the women were aware of community clinics. Geographical location, level of education, household wealth status and frequency of reading newspaper were found to be significantly associated with awareness about community clinic services. Services reported to be obtained in the community clinics include family planning, immunization, tetanus, antenatal care, vitamin A, and health care for children and child growth monitoring. In the multivariate logistic regression, the odds of awareness among participants with primary education [p<0.001, AOR = 1.255, 95%CI = 1.107–1.357], secondary qualification [p<0.001, AOR = 1.370, 95%CI = 1.242–1.510] and tertiary [p<0.001, AOR = 1.526, 95%CI = 1.286–1.809] had approximately 23%, 37% and 53% respectively higher odds of awareness when compared to those with no formal education. Compared to the women living in richest households, odds of awareness were approximately 12.5%, 12.8%, 4.5% and 22.4% respectively higher among women reported in poorer, middle, richer and richest household wealth status when compared to poorest wealth status. Conclusion: Our findings suggested that policies enhancing improved education could benefit health awareness. Poverty elimination and income generation programs among women are also likely to improve awareness about community health clinics in the target population. Special policy attention is required to address the regional variation of awareness about Community clinics. [ABSTRACT FROM AUTHOR]

Introduction: 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. Materials and Method: 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. Results: 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. Conclusion: 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. [ABSTRACT FROM AUTHOR]