Abstract Background An effective referral system is critical to ensuring access to appropriate and timely healthcare services. In pluralistic healthcare systems such as Bangladesh, referral inefficiencies due to distance, diversion to inappropriate facilities and unsuitable hours of service are common, particularly for the urban poor. This study explores the reported referral networks of urban facilities and models alternative scenarios that increase referral efficiency in terms of distance and service hours. Methods Road network and geo-referenced facility census data from Sylhet City Corporation were used to examine referral linkages between public, private and NGO facilities for maternal and emergency/critical care services, respectively. Geographic distances were calculated using ArcGIS Network Analyst extension through a “distance matrix” which was imported into a relational database. For each reported referral linkage, an alternative referral destination was identified that provided the same service at a closer distance as indicated by facility geo-location and distance analysis. Independent sample t-tests with unequal variances were performed to analyze differences in distance for each alternate scenario modelled. Results The large majority of reported referrals were received by public facilities. Taking into account distance, cost and hours of service, alternative scenarios for emergency services can augment referral efficiencies by 1.5–1.9 km ( p < 0.05) compared to 2.5–2.7 km in the current scenario. For maternal health services, modeled alternate referrals enabled greater referral efficiency if directed to private and NGO-managed facilities, while still ensuring availability after working-hours. These referral alternatives also decreased the burden on Sylhet City’s major public tertiary hospital, where most referrals were directed. Nevertheless, associated costs may be disadvantageous for the urban poor. Conclusions For both maternal and emergency/critical care services, significant distance reductions can be achieved for public, NGO and private facilities that avert burden on Sylhet City’s largest public tertiary hospital. GIS-informed analyses can help strengthen coordination between service providers and contribute to more effective and equitable referral systems in Bangladesh and similar countries.
Introduction Disparities in health outcomes and access to maternal neonatal and child health (MNCH) are apparent among urban poor compared with national, rural or urban averages. A fundamental first step in addressing inequities in MNCH services is knowing what services exist in urban areas, where these are located, who provides them and who uses them. This study aims to institutionalise the Urban Health Atlas (UHA)—a novel information and communications technology (ICT) tool—to strengthen health service delivery and oversight and generate critical evidence to inform health policy and planning in urban Bangladesh. Methods and analysis This mixed-method implementation research will be conducted in four purposively selected urban sites representing larger and smaller cities. Research activities will include an assessment of information needs and task review analysis of information users, stakeholder mapping and cost estimation. To document stakeholder perceptions and experiences, key informant interviews and in-depth interviews will be conducted along with desk reviews to understand MNCH planning and referral decisions. The UHA will be refined to increase responsiveness to user needs and capacities, and hands-on training will be provided to health managers. Cost estimation will be conducted to assess the financial implications of UHA uptake and scale-up. Systematic documentation of the implementation process will be undertaken. Policy decision-making and ICT health policy process flowcharts will be prepared using desk reviews and qualitative interviews. Thematic analysis of qualitative data will involve both emergent and a priori coding guided by WHO PATH toolkit and Policy Engagement Framework. Stakeholder analysis will apply standard techniques and measurement scales. Descriptive analysis of quantitative data and cost estimation analysis will also be performed. Ethics and dissemination The study has been approved by the Institutional Review Board of icddr,b (# PR-16057). Study findings will be disseminated through national and international workshops, conferences, policy briefs and peer-reviewed publications.
This paper explores the underlying motivations and strategies of formal small and medium-sized formal private for-profit sector hospitals and clinics in urban Bangladesh and their implications for quality and access.This exploratory qualitative study was conducted in Dhaka, Sylhet and Khulna City Corporations. Data collection methods included key informant interviews (20) with government and private sector leaders, in-depth interviews (30) with clinic owners, managers and providers and exit interviews (30) with healthcare clients.Profit generation is a driving force behind entry into the private healthcare business and the provision of services. However, non-financial motivations are also emphasised such as aspirations to serve the disadvantaged, personal ambition, desire for greater social status, obligations to continue family business and adverse family events.The discussion of private sector motivations and strategies is framed using the Business Policy Model. This model is comprised of three components: products and services, and efforts to make these attractive including patient-friendly discounts and service-packages, and building 'good' doctor-patient relationships; the market environment, cultivated using medical brokers and referral fees to bring in fresh clientele, and receipt of pharmaceutical incentives; and finally, organisational capabilities, in this case overcoming human resource shortages by relying on medical staff from the public sector, consultant specialists, on-call and less experienced doctors in training, unqualified nursing staff and referring complicated cases to public facilities.In the context of low public sector capacity and growing healthcare demands in urban Bangladesh, private for-profit engagement is critical to achieving universal health coverage (UHC). Given the informality of the sector, the nascent state of healthcare financing, and a weak regulatory framework, the process of engagement must be gradual. Further research is needed to explore how engagement in UHC can be enabled while maintaining profitability. Incentives that support private sector efforts to improve quality, affordability and accountability are a first step in building this relationship.
Objectives: Depression is a leading contributor to the global burden of disease, and often starts at a young age. Depression in young people can increase the risk of unhealthy lifestyle behaviour and can lead to substantial disability, social problems, poor health, and suicide. Other research has examined depressive symptoms among adult populations in Bangladesh, but little is known about other age groups. The aim of this study was to assess the prevalence and socio-demographic correlates of depressive symptoms among secondary school children of Dhaka city, Bangladesh.Design: A self-completed questionnaire was administered to 898 students from eight secondary schools of Dhaka, the capital City of Bangladesh. Of the respondents, 755 (372 males, 383 females; average age 14.26 years; SD 1.15) completed the 10-item Center for Epidemiological Studies Depression Scale (CESD-10). A score of 10 or more was used to indicate depressive symptoms. Parents completed a separate questionnaire to provide individual and household/family-level data. Generalized Estimating Equations (GEE) was used to assess sociodemographic and lifestyle factors associated with adolescent depressive symptoms.Results: Among the responding adolescents, 25% reported depressive symptoms with prevalence more common among females than males (30% vs. 19%). Factors significantly associated with symptoms of depression included being female, aged 15–16 years, self-perception of non-normal weight, feeling unsafe at school, sleep disturbance, low life satisfaction, high intake of sugary drinks, and regularly skipping breakfast.Conclusion: Depressive symptoms are prevalent among secondary school children in urban Bangladesh. Interventions for adolescents with depressive symptoms could focus on lifestyle practices such as weight management, personal safety, sleep hygiene and healthy eating.
Abstract Objective The 6 item Kessler Psychological Distress Scale (K6) is a screening tool for psychological distress with robust psychometric properties; however, information is lacking on such properties of the scale on its Bangla version. The aim of this study was to evaluate the psychometric properties of the Bangla version of the K6 scale in young people. Method A self-administered questionnaire survey was conducted between August 2017 and April 2018 among 718 students aged 13-24 years (45% females) from Dhaka, Bangladesh. Psychological distress was assessed using the Bangla K6. The survey was repeated in a week. Statistical software AMOS 25 and Stata SE 14 were used to conduct the analyses. Results The Bangla K6 scale demonstrated an acceptable internal consistency with high Cronbach alpha. Principal component analysis confirmed a single-factor structure of the scale. Confirmatory factor analysis supported the one-factor structure of the scale with adequate fit to the survey data. Test-retest reliability was acceptable with good reliability coefficients. Receiver operating characteristic analyses showed good prediction of depressive symptoms by the Bangla K6 scores. Discussion This study provides an initial support for the Bangla K6 scale as an acceptable instrument to assess psychological distress of Bangla-speaking young people. More research is needed to understand our ability to identify vulnerable individuals, whose native language is Bangla and who are in need of mental health support.
Objective The 6 item Kessler Psychological Distress Scale (K6) is a screening tool for psychological distress with robust psychometric properties; however, information is lacking on such properties of the scale on its Bangla version. The aim of this study was to evaluate the psychometric properties of the Bangla version of the K6 scale in young people. Method A self-administered questionnaire survey was conducted between August 2017 and April 2018 among 718 students aged 13-24 years (45% females) from Dhaka, Bangladesh. Psychological distress was assessed using the Bangla K6. The survey was repeated in a week. Statistical software AMOS 25 and Stata SE 14 were used to conduct the analyses. Results The Bangla K6 scale demonstrated an acceptable internal consistency with high Cronbach alpha. Principal component analysis confirmed a single-factor structure of the scale. Confirmatory factor analysis supported the one-factor structure of the scale with adequate fit to the survey data. Test-retest reliability was acceptable with good reliability coefficients. Receiver operating characteristic analyses showed good prediction of depressive symptoms by the Bangla K6 scores. Discussion This study provides an initial support for the Bangla K6 scale as an acceptable instrument to assess psychological distress of Bangla-speaking young people. More research is needed to understand our ability to identify vulnerable individuals, whose native language is Bangla and who are in need of mental health support.
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