Browsing by Author "Ahmed, Sayem"

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A transparent universal health coverage index with decomposition by socioeconomic groups: Application in Asian and African settings
(Springer Nature, 2/16/2019) Khan, Jahangir A. M.; Ahmed, Sayem; Chen, Tao; Tomeny, Ewan M.; Niessen, Louis W.
Background Health and wellbeing as one of the Sustainable Development Goals requires all countries to achieve Universal Health Coverage (UHC). That is, all people must have access to healthcare when needed at an affordable price. While several indices were developed recently to assess UHC status, these indices appeared to be difficult for practitioners to apply without statistical knowledge. Objective This paper presents a transparent and step-by-step practical calculation method of such an index using Excel spreadsheets, applied to some Asian and African countries. We also decompose the contribution of socioeconomic groups to UHC index values. Methods We utilized the well known UHC illustration (three-dimensional box, showing population coverage, service coverage and financial protection) to calculate the UHC index. We also broke down the index into socioeconomic groups. For validation, correlation coefficients between our index and other UHC indices were calculated and the relationship of our index with out-of-pocket (OOP) payments was estimated. Results World Bank data from six Asian and 15 African countries on health-service coverage of people in five socioeconomic quintiles with financial protection were used to calculate our UHC index. Among the Asian countries, indices ranged between 26.0% (Nepal) and 58.7% (Kazakhstan), while in African countries indices ranged between 8.9% (Chad) and 55.3% (Namibia). Decomposition of the UHC index showed a higher contribution to the index by richer socioeconomic groups. The correlation coefficients between our estimated UHC index values and those of others ranged between 0.774 and 0.900. Our index reduced by 1.4% in response to a 1% increase in OOP payments. Conclusions This spreadsheet approach for calculating the UHC index appeared to be useful, where the interrelation of UHC dimensions was easily observed. Decomposition of the index could be useful for policy-makers to identify the subpopulations and health services with need for further interventions towards UHC achievement.
Benefit incidence analysis of healthcare in Bangladesh - equity matters for universal health coverage
(© 2017 Oxford University Press, 2017) Khan, Jahangir Am; Ahmed, Sayem; MacLennan, Mary E.; Sarker, Abdur Razzaque; Sultana, Marufa; Rahman, Hafizur E.M.R.
Background: Equity in access to and utilization of healthcare is an important goal for any health system and an essential prerequisite for achieving Universal Health Coverage for any country. Objectives: This study investigated the extent to which health benefits are distributed across socioeconomic groups; and how different types of providers contribute to inequity in health benefits of Bangladesh. Methodology: The distribution of health benefits across socioeconomic groups was estimated using concentration indices. Health benefits from three types of formal providers were analysed (public, private and NGO providers), separated into rural and urban populations. Decomposition of concentration indices into types of providers quantified the relative contribution of providers to the overall distribution of benefits across socioeconomic groups. Eventually, the distribution of benefits was compared to the distribution of healthcare need (proxied by 'self-reported illness and symptoms') across socioeconomic groups. Data from the latest Household Income and Expenditure Survey, 2010 and WHO-CHOICE were used. Results: An overall pro-rich distribution of healthcare benefits was observed (CI = 0.229, t-value = 9.50). Healthcare benefits from private providers (CI = 0.237, t-value = 9.44) largely favoured the richer socioeconomic groups. Little evidence of inequity in benefits was found in public (CI = 0.044, t-value = 2.98) and NGO (CI = 0.095, t-value = 0.54) providers. Private providers contributed by 95.9% to overall inequity. The poorest socioeconomic group with 21.8% of the need for healthcare received only 12.7% of the benefits, while the richest group with 18.0% of the need accounted for 32.8% of the health benefits. Conclusion: Overall healthcare benefits in Bangladesh were pro-rich, particularly because of health benefits from private providers. Public providers were observed to contribute relatively slightly to inequity. The poorest (richest) people with largest (least) need for healthcare actually received lower (higher) benefits. When working to achieve Universal Health Coverage in Bangladesh, particular consideration should be given to ensuring that private sector care is more equitable.
Benefit incidence analysis of healthcare in Bangladesh - equity matters for universal health coverage
(© 2017 Oxford University Press, 2017) Khan, Jahangir Am; Ahmed, Sayem; MacLennan, Mary E.; Sarker, Abdur Razzaque; Sultana, Marufa; Rahman, Hafizur E.M.R.
Background: Equity in access to and utilization of healthcare is an important goal for any health system and an essential prerequisite for achieving Universal Health Coverage for any country. Objectives: This study investigated the extent to which health benefits are distributed across socioeconomic groups; and how different types of providers contribute to inequity in health benefits of Bangladesh. Methodology: The distribution of health benefits across socioeconomic groups was estimated using concentration indices. Health benefits from three types of formal providers were analysed (public, private and NGO providers), separated into rural and urban populations. Decomposition of concentration indices into types of providers quantified the relative contribution of providers to the overall distribution of benefits across socioeconomic groups. Eventually, the distribution of benefits was compared to the distribution of healthcare need (proxied by 'self-reported illness and symptoms') across socioeconomic groups. Data from the latest Household Income and Expenditure Survey, 2010 and WHO-CHOICE were used. Results: An overall pro-rich distribution of healthcare benefits was observed (CI = 0.229, t-value = 9.50). Healthcare benefits from private providers (CI = 0.237, t-value = 9.44) largely favoured the richer socioeconomic groups. Little evidence of inequity in benefits was found in public (CI = 0.044, t-value = 2.98) and NGO (CI = 0.095, t-value = 0.54) providers. Private providers contributed by 95.9% to overall inequity. The poorest socioeconomic group with 21.8% of the need for healthcare received only 12.7% of the benefits, while the richest group with 18.0% of the need accounted for 32.8% of the health benefits. Conclusion: Overall healthcare benefits in Bangladesh were pro-rich, particularly because of health benefits from private providers. Public providers were observed to contribute relatively slightly to inequity. The poorest (richest) people with largest (least) need for healthcare actually received lower (higher) benefits. When working to achieve Universal Health Coverage in Bangladesh, particular consideration should be given to ensuring that private sector care is more equitable.
Design of a multi-echelon supply chain network using multi-objective decision making approach
(Department of Industrial Production Engineering, 2017-08-31) Ahmed, Sayem; Hasin, Dr. M. Ahsan Akhtar
A supply chain is a set of facilities, suppliers, customers, products and methods of controlling inventory, purchasing, and distribution. In a supply chain, the flow of goods between a supplier and customer passes through several stages, and each stage may consist of many facilities. The planning is designed to integrate supplier selection, product assembly, distribution center (DC) location selection as well as the logistic distribution system of the supply chain in order to meet market demands. In this research, the supplier selection problem is integrated with production decision and distributor location problems and a new mathematical model is proposed. While the most successful companies are aiming for total customer satisfaction, it is important to quantify service quality of suppliers so Taguchi loss function is considered in decision making process for calculating the loss in monetary terms, in case of poor supply performance. With multiple suppliers and multiple customer needs, the assembly model can be divided into several sub-assembly steps by applicable sequence. Considering three evaluation criteria, namely costs, delivery time, and quality a multi-objective optimizationmathematical model is established in this study. The multi-objective problems usually have no unique optimal solution, and the Pareto genetic algorithm (PaGA) can find good tradeoffs among all the objectives. Therefore, this study proposes a modified Pareto genetic algorithm (mPaGA) to improve the solution quality through revision of crossover and mutation operations.The results show that the proposed algorithm gives high quality solutions as well as better computational times.
Estimating catastrophic costs due to Pulmonary Tuberculosis in Bangladesh
(Atlantis Press, 2020-06-07) Chowdhury, Anita Sharif; Ahmed, Md Shakil; Ahmed, Sayem; Khanam, Fouzia; Farjana, Fariha; Reza, Saifur; Islam, Shayla; Islam, Akramul; Khan, Jahangir A.M.; Rahman, Mahfuzar
To eliminate TB from the country by the year 2030, the Bangladesh National Tuberculosis (TB) Program is providing free treatment to the TB patients since 1993. However, the patients are still to make Out-of-their Pocket (OOP) payment, particularly before their enrollment Directly Observed Treatment Short-course (DOTS). This places a significant economic burden on poor-households. We, therefore, aimed to estimate the Catastrophic Health Expenditure (CHE) due to TB as well as understand associated difficulties faced by the families when a productive family member age (15–55) suffers from TB. The majority of the OOP expenditures occur before enrolling in. We conducted a cross-sectional study using multistage sampling in the areas of Bangladesh where Building Resources Across Communities (BRAC) provided TB treatment during June 2016. In total, 900 new TB patients, aged 15–55 years, were randomly selected from a list collected from BRAC program. CHE was defined as the OOP payments that exceeded 10% of total consumption expenditure of the family and 40% of total non-food expenditure/capacity-to-pay. Regular and Bayesian simulation techniques with 10,000 replications of re-sampling with replacement were used to examine robustness of the study findings. We also used linear regression and logit model to identify the drivers of OOP payments and CHE, respectively. The average total cost-of-illness per patient was 124 US$, of which 68% was indirect cost. The average CHE was 4.3% of the total consumption and 3.1% of non-food expenditure among the surveyed households. The poorest quintile of the households experienced higher CHE than their richest counterpart, 5% vs. 1%. Multiple regression model showed that the risk of CHE increased among male patients with smear-negative TB and delayed enrolling in the DOTS. Findings suggested that specific groups are more vulnerable to CHE who needs to be brought under innovative safety-net schemes.
Factors enabling comprehensive maternal health services in the benefits package of emerging financing schemes: A crosssectional analysis from 1990 to 2014
(PLOS ONE, 9/25/2018) Vargas, Veronica; Ahmed, Sayem; Adams, Alayne M.
Introduction Maternal delivery is the costliest event during pregnancy, especially if a complicated delivery occurs that requires emergency hospital services. A health financing scheme or program that covers comprehensive maternal services, including specialized hospital services in the benefits health package, enhances maternal survival and improves financial risk protection. Objectives The objective of this study is to identify factors that enable the inclusion of comprehensive maternal services in the benefits package of emerging health financing schemes in low and middle-income countries across selected world regions. Comprehensive care is presumed if, in addition to normal delivery, primary health care, and secondary or tertiary hospital care are included. Methods Multilevel regression analysis is performed on 220 health financing schemes and programs initiated during the period 1990–2014, in 40 countries in Sub-Saharan Africa, Asia, and Latin America. Findings About two-thirds of emerging health financing schemes explicitly include maternal care in the benefits package, and less-than-half cover comprehensive maternal services. Provision of any type of maternal services and comprehensive services is significantly associated with the presence of donors/philanthropies as funders, and beneficiaries possessing an ID card that links them to entitled services. Other enabling factors are prepayment and risk pooling. However, private and community insurances are negatively associated with covering comprehensive maternal services, because they are subject to market failures, such as adverse and risk selection. Conclusions Emerging health financing schemes in low and upper-middle-income countries lag in coverage of maternal care. Advancing financial protection of these services in the health package needs policy attention, including government oversight and mandatory regulations. The enabling factors identified can enrich the ongoing discourse on Universal Health Coverage.
MANOSHI Working Paper Series No 14
(icddr,b, 2011-11) Sarker, Bidhan K.; Islam, Noushin; Ahmed, Sayem; Khan, Jahangir A. M.
MANOSHI Working Paper Series No 18
(icddr,b, 2012-01) Sarker, Bidhan Krishna; Higgins, Jonathan; Mridha, Malay Kanti; Ferdous, Jannatul; Dasgupta, Sushil Kanti Dasgupta; Ahmed, Sayem; Khan, Jahangir A.M.; Reichenbach, Laura
Willingness-to-pay for community-based health insurance among informal workers in urban Bangladesh
(© 2016 Public Library of Science, 2016) Ahmed, Sayem; Enamul Hoque, Mohammad; Razzaque Sarker, Abdur; Sultana, Marufa; Islam, Ziaul; Gazi, Rukhsana; A. M. Khan, Jahangir
Introduction Reliance on out-of-pocket payment for healthcare may lead poor households to undertake catastrophic health expenditure, and risk-pooling mechanisms have been recommended to mitigate such burdens for households in Bangladesh. About 88% of the population of Bangladesh depends on work in the informal sector. We aimed to estimate willingness-to-pay (WTP) for CBHI and identify its determinants among three categories of urban informal workers rickshaw-pullers, shopkeepers and restaurant workers. Methods The bidding game version of contingent valuation method was used to estimate weekly WTP. In three urban locations 557 workers were interviewed using a structured questionnaire during 2010 and 2011. Multiple-regression analysis was used to predict WTP by demographic and household characteristics, occupation, education level and past illness. Results WTP for a CBHI scheme was expressed by 86.7% of informal workers. Weekly average WTP was 22.8 BDT [Bangladeshi Taka; 95% confidence interval (CI) 20.9-24.8] or 0.32 USD and varied significantly across occupational groups (p = 0.000) and locations (p = 0.003). WTP was highest among rickshaw-pullers (28.2 BDT or 0.40 USD; 95% CI: 24.7-31.7), followed by restaurant workers (20.4 BDT 0.29 USD; 95% CI: 17.0-23.8) and shopkeepers (19.2 BDT or 0.27 USD; 95% CI: 16.1-22.4). Multiple regression analysis identified monthly income, occupation, geographical location and educational level as the key determinants of WTP. WTP increased 0.196% with each 1% increase in monthly income, and was 26.9% lower among workers with up to a primary level of education versus those with higher than primary, but less than one year of education. Conclusion Informal workers in urban areas thus are willing to pay for CBHI and socioeconomic differences explain the magnitude of WTP. The policy maker might think introducing communitybased model including public-community partnership model for healthcare financing of informal workers. Decision making regarding the implementation of such schemes should consider worker location and occupation.
Willingness-to-pay for community-based health insurance among informal workers in urban Bangladesh
(© 2016 Public Library of Science, 2016) Ahmed, Sayem; Enamul Hoque, Mohammad; Razzaque Sarker, Abdur; Sultana, Marufa; Islam, Ziaul; Gazi, Rukhsana; A. M. Khan, Jahangir
Introduction Reliance on out-of-pocket payment for healthcare may lead poor households to undertake catastrophic health expenditure, and risk-pooling mechanisms have been recommended to mitigate such burdens for households in Bangladesh. About 88% of the population of Bangladesh depends on work in the informal sector. We aimed to estimate willingness-to-pay (WTP) for CBHI and identify its determinants among three categories of urban informal workers rickshaw-pullers, shopkeepers and restaurant workers. Methods The bidding game version of contingent valuation method was used to estimate weekly WTP. In three urban locations 557 workers were interviewed using a structured questionnaire during 2010 and 2011. Multiple-regression analysis was used to predict WTP by demographic and household characteristics, occupation, education level and past illness. Results WTP for a CBHI scheme was expressed by 86.7% of informal workers. Weekly average WTP was 22.8 BDT [Bangladeshi Taka; 95% confidence interval (CI) 20.9-24.8] or 0.32 USD and varied significantly across occupational groups (p = 0.000) and locations (p = 0.003). WTP was highest among rickshaw-pullers (28.2 BDT or 0.40 USD; 95% CI: 24.7-31.7), followed by restaurant workers (20.4 BDT 0.29 USD; 95% CI: 17.0-23.8) and shopkeepers (19.2 BDT or 0.27 USD; 95% CI: 16.1-22.4). Multiple regression analysis identified monthly income, occupation, geographical location and educational level as the key determinants of WTP. WTP increased 0.196% with each 1% increase in monthly income, and was 26.9% lower among workers with up to a primary level of education versus those with higher than primary, but less than one year of education. Conclusion Informal workers in urban areas thus are willing to pay for CBHI and socioeconomic differences explain the magnitude of WTP. The policy maker might think introducing communitybased model including public-community partnership model for healthcare financing of informal workers. Decision making regarding the implementation of such schemes should consider worker location and occupation.