Browsing by Author "A. M. Khan, Jahangir"

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Trends and inequities in use of maternal health care services in Bangladesh, 1991-2011
(© 2015 Public Library of Science, 2015) Anwar, Iqbal; Y. Nababan, Herfina; Mostari, Shabnam; Rahman, Aminur; A. M. Khan, Jahangir
Background and Methods Monitoring use-inequity is important to measure progress in efforts to address healthinequities. Using data from six Bangladesh Demographic and Health Surveys (BDHS), we examine trends, inequities and socio-demographic determinants of use of maternal health care services in Bangladesh between 1991 and 2011. Findings Access to maternal health care services has improved in the last two decades. The adjusted yearly trend was 9.0% (8.6%-9.5%) for any antenatal care (ANC), 11.9%(11.1%-12.7%) for institutional delivery, and 18.9% (17.3%-20.5%) for C-section delivery which is above the WHO recommended rate of 5-15%. Use-inequity was significant for all three indicators but is reducing over time. Between 1991-1994 and 2007-2011 the rich:poor ratio reduced from 3.65 to 1.65 for ANC and from 15.80 to 6.77 for institutional delivery. Between 1995-1998 and 2007-2011, the concentration index reduced from 0.27 (0.25-0.29) to 0.15 (0.14-0.16) for ANC, and from 0.65 (0.60-0.71) to 0.39 (0.37-0.41) for institutional delivery during that period. For use of c-section, the rich:poor ratio reduced from 18.17 to 13.39 and the concentration index from 0.66 (0.57-0.75) to 0.47 (0.45-0.49). In terms of rich:poor differences, there was equity-gain for ANC but not for facility delivery or C-section delivery. All sociodemographic variables were significant predictors of use; of them, maternal education was the most powerful. In addition, the contribution of for-profit private sector is increasingly growing in maternal health. Conclusion Both access and equity are improving in maternal health. We recommend strengthening ongoing health and non-health interventions for the poor. Use-inequity should be monitored using multiple indicators which are incorporated into routine health information systems. Rising C-section rate is alarming and indication of C-sections should be monitored both in private and public sector facilities.
Trends and inequities in use of maternal health care services in Bangladesh, 1991-2011
(© 2015 Public Library of Science, 2015) Anwar, Iqbal; Y. Nababan, Herfina; Mostari, Shabnam; Rahman, Aminur; A. M. Khan, Jahangir
Background and Methods Monitoring use-inequity is important to measure progress in efforts to address healthinequities. Using data from six Bangladesh Demographic and Health Surveys (BDHS), we examine trends, inequities and socio-demographic determinants of use of maternal health care services in Bangladesh between 1991 and 2011. Findings Access to maternal health care services has improved in the last two decades. The adjusted yearly trend was 9.0% (8.6%-9.5%) for any antenatal care (ANC), 11.9%(11.1%-12.7%) for institutional delivery, and 18.9% (17.3%-20.5%) for C-section delivery which is above the WHO recommended rate of 5-15%. Use-inequity was significant for all three indicators but is reducing over time. Between 1991-1994 and 2007-2011 the rich:poor ratio reduced from 3.65 to 1.65 for ANC and from 15.80 to 6.77 for institutional delivery. Between 1995-1998 and 2007-2011, the concentration index reduced from 0.27 (0.25-0.29) to 0.15 (0.14-0.16) for ANC, and from 0.65 (0.60-0.71) to 0.39 (0.37-0.41) for institutional delivery during that period. For use of c-section, the rich:poor ratio reduced from 18.17 to 13.39 and the concentration index from 0.66 (0.57-0.75) to 0.47 (0.45-0.49). In terms of rich:poor differences, there was equity-gain for ANC but not for facility delivery or C-section delivery. All sociodemographic variables were significant predictors of use; of them, maternal education was the most powerful. In addition, the contribution of for-profit private sector is increasingly growing in maternal health. Conclusion Both access and equity are improving in maternal health. We recommend strengthening ongoing health and non-health interventions for the poor. Use-inequity should be monitored using multiple indicators which are incorporated into routine health information systems. Rising C-section rate is alarming and indication of C-sections should be monitored both in private and public sector facilities.
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.