Background: Autism spectrum disorder (ASD) refers to a group of complex neurodevelopment disorders characterized by repetitive and characteristic patterns of behavior and difficulties with social communication and interaction. In Bangladesh, autism in children is a significant burden of disease. Early identification of ASD could improve quality of life. The study has explored at the prevalence of ASD among rural community children aged between 18-36 months. Methods: A cross sectional study was conducted among the 5286 children aged between 18-36 months in a rural community. Household level data was collected using screening tool MCHAT. Primarily screening positive 66 children were invited for final diagnosis in a health camp. Diagnosis was made by different staging started from primary screening, followed by validation using MCHAT and flash card. Final diagnosis was made by the paediatric neurologists, child clinical psychologists and development therapist using diagnostic tools (DSM-IV & ADOS). Results: 04 children were diagnosed with autism spectrum disorder (ASD). Prevalence of the ASD in rural community was found 0.75/1000 children. Among the four ASD cases three were boys and one was girl and age range was between 20- 30 months. Whereas, the highest prevalence rate found was for the cerebral palsy which was 5.6/1000 children and Developmental delay (2.6/1000) was the next to that. Conclusions: Age specific autism (18-36 months) in children is found higher in rural community of Bangladesh. In order to get more comprehensive information on autism in other age groups of children in rural community, further study is required. Early detection in rural community could help the policy makers to decentralization of health services among the ASD children in rural community.

This study explored the community perception of maternal deaths influenced by natural disaster (flood), and the practice of maternal complications during natural disaster among the rural population in Bangladesh. It also explored the challenges faced by the community for providing healthcare and referring the pregnant women experiencing complications during flood disaster. Three focus group discussions (FGDs) and eight in-depth interviews (IDIs) were conducted in the marginalized rural communities in the flood-prone Khaliajhuri sub-district, Netrakona district, Bangladesh. Flood is one of the major risk factors for influencing maternal death. Pregnant women seriously suffer from maternal complications, lack of antenatal checkup, and lack of doctors during flooding. During the time of delivery, it is difficult to find a skilled attendant, and referring the patient with delivery complications to the healthcare facility. Boats are the only mode of transport. The majority of maternal deaths occur on the boats during transfer from the community to the hospital. Rural people feel that the maternal deaths influenced by natural disaster are natural phenomena. Pre-preparation is needed to support pregnant women during disasters. There is unawareness of maternal health, related care, and complications during disasters among local health service providers and volunteers.

Kamrangirchar and Hazaribagh are the largest slum areas in Dhaka, Bangladesh. In 2013, Médecins Sans Frontières initiated an urban healthcare programme in these areas providing services for factory workers and responding to the sexual and reproductive health needs of young women. Little in-depth information is available on perceptions of health and health seeking behaviour in this population. We aimed to provide a better understanding of community perceptions toward health and health care in order to inform programme strategies. In-depth interviews were conducted with women (n = 13); factory workers (n = 14); and key informants (n = 13). Participants were selected using purposive maximum variation sampling and voluntarily consented to take part. Topic guides steered participant-led interviews, which were audio-recorded, translated and transcribed from Bangla into English. By comparing cases, we identified emerging themes, patterns and relationships in the data. NVivo11© was used to sort and code the data. Emerging themes indicated that in Kamrangirchar and Hazaribagh, health is seen as an asset necessary for work and, thus, for survival. Residents navigate a highly fragmented health system looking for ‘quick fixes’ to avoid time off work, with the local pharmacy deemed ‘good enough’ for ‘common’ health issues. Health care seeking for ‘serious’ conditions is characterised by uncertainty, confusion, and unsatisfactory results. Decisions are made communally and shaped by collective perceptions of quality care. People with limited socio-economic capital have few options for care. ‘Quality care’ is perceived as comprehensive care ‘under one roof,’ including predictive biomedical diagnostics and effective medication, delivered through a trusting relationship with the care provider. Health seeking behaviour of slum dwellers of Kamrangirchar and Hazaribagh is based on competing priorities, where quick and effective care is key, focussed on the ability to work and generate income. This takes place in a fragmented healthcare system characterised by mistrust of providers, and where navigation is informed by word-of-mouth experiences of peers. Improving health in this context demands a comprehensive and integrated approach to health care delivery, with an emphasis on rapid diagnosis, effective treatment and referral, and improved trust in care providers. Health education must be developed in collaboration with the community to identify knowledge gaps, support decision-making, and be channelled through existing networks. Further research should consider the effectiveness of interventions aiming to improve the practice of pharmacists.

Background:Lightning injury is a global public health issue. Low and middle-income countries in the tropical and subtropical regions of the world are most affected by lightning. Bangladesh is one of the countries at particular risk, with a high number of devastating lightning injuries in the past years, causing high mortality and morbidity. The exact magnitude of the problem is still unknown and therefore this study investigates the epidemiology of lightning injuries in Bangladesh, using a national representative sample. Methods:A mixed method was used. The study is based on results from a nationwide cross-sectional survey performed in 2003 in twelve randomly selected districts. In the survey, a total of 819,429 respondents from 171,336 households were interviewed using face-to-face interviews. In addition, qualitative information was obtained by reviewing national and international newspaper reports of lightning injuries sustained in Bangladesh between 13 and 15 May 2016. Results:The annual mortality rate was 3.661 (95% CI 0.9313–9.964) per 1,000,000 people. The overall incidence of lightning injury was 19.89/100,000 people. Among the victims, 60.12% (n=98) were males and 39.87% (n=65) were females. Males were particularly vulnerable, with a 1.46 times increased risk compared with females (RR 1.46, 95% CI 1.06–1.99). Rural populations were more vulnerable, with a 8.73 times higher risk, than urban populations (RR 8.73, 95% CI 5.13–14.86). About 43% of injuries occurred between 12 noon and 6 pm. The newspapers reported 81 deaths during 2 days of electric storms in 2016. Lightning has been declared a natural disaster in Bangladesh. Conclusions:The current study indicates that lightning injuries are a public health problem in Bangladesh. The study recommends further investigations to develop interventions to reduce lightning injuries, mortality and related burden in Bangladesh.

An estimated 2.6 million stillbirths occur every year, with the majority occurring in low- and middle-income countries. Understanding the cause of and factors associated with stillbirth is important to help inform the design and implementation of interventions aimed at reducing preventable stillbirths. Population-based surveillance with identification of all stillbirths that occurred either at home or in a health facility was introduced in four districts in Bangladesh. Verbal autopsy was conducted for every fifth stillbirth using a structured questionnaire. A hierarchical model was used to assign likely cause of stillbirth. Six thousand three hundred thirty-three stillbirths were identified for which 1327 verbal autopsies were conducted. 63.9% were intrapartum stillbirths. The population-based stillbirth rate obtained was 20.4 per 1000 births; 53.9% of all stillbirths occurred at home. 69.6% of mothers had accessed health care in the period leading up to the stillbirth. 48.1% had received care from a highly trained healthcare provider. The three most frequent causes of stillbirth were maternal hypertension or eclampsia (15.2%), antepartum haemorrhage (13.7%) and maternal infections (8.9%). Up to 11.3% of intrapartum stillbirths were caused by hypoxia. However, it was not possible to identify a cause of death with reasonable certainty using information obtained via verbal autopsy in 51.9% of stillbirths. Introducing surveillance for stillbirths at community level is possible. However, verbal autopsy yields limited data, and the questionnaire used for this needs to be revised and/or combined with information obtained through case note review. Most women accessed and received care from a qualified healthcare provider. To reduce the number of preventable stillbirths, the quality of antenatal and intrapartum care needs to be improved.

Background: Prompt and efficient identification, referral of pregnancy related complications and emergencies are key factors to the reduction of maternal and newborn morbidity and mortality. As a response to this critical need, a midwifery led continuum of reproductive health care was introduced in five teagardens in the Sylhet division, Bangladesh during 2016. Within this intervention, professional midwives provided reproductive healthcare to pregnant teagarden women in the community. This study evaluates the effect of the referral of pregnancy related complications. Methods: A qualitative case study design by reviewing records retrospectively was used to explore the effect of deploying midwives on referrals of pregnancy related complications from the selected teagardens to the referral health facilities in Moulvibazar district of the Sylhet division during 2016. In depth analyses was also performed on 15 randomly selected cases to understand the facts behind the referral. Results: Out of a total population of 450 pregnant women identified by the midwives, 72 complicated mothers were referred from the five teagardens to the facilities. 76.4% of mothers were referred to conduct delivery at facilities, and 31.1% of them were referred with the complication of prolonged labour. Other major complications were pre-eclampsia (17.8%), retention of the placenta with post-partum hemorrhage (11.1%) and premature rupture of the membrane (8.9%). About 60% of complicated mothers were referred to the primary health care centre, and among them 14% of mothers were delivered by caesarean section. 94% deliveries resulted in livebirths and only 6% were stillbirths. Conclusions: This study reveals that early detection of pregnancy complications by skilled professionals and timely referral to a facility is beneficial in saving the majority of baby’s as well as mother’s lives in resource-poor teagardens with a considerable access barrier to health facilities.