Browsing by Author "Hasan, Shaikh Mehdi"

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Exploring healthcare landscape in urban Bangladesh: findings from health facility mapping of Dinajpur municipality in Bangladesh
(icddr,b, 2021-05-17) Hasan, Shaikh Mehdi; Tuly, Iffat Nowrin; Ahmed, Shakil; Khan, Shaan Muberra; Das, Susmita; Yusuf, Sifat Shahana; Mehjabin, Nusrat; Rakib, Nibras Ar; Islam, Rahenul; Adams, Alayne M.
This study was funded by Options Consultancy Services Limited, UK, through Urban Health System Strengthening Project (UHSSP). icddr,b acknowledges with gratitude the commitment of Options Consultancy Services Limited, the UK to its research efforts. icddr,b is also grateful to the Governments of Bangladesh, Canada, Sweden, and the UK for providing core/unrestricted support. Special thanks to the Directorate General of Health Services (DGHS), Civil Surgeon and the Mayor of Dinajpur Municipality, and Directorate General of Family Planning (DGFP) for giving permission and supporting the implementation of this study. We also acknowledge all the administrative authorities of health programmes, NGOs, and private health associations for their consent to the survey and for providing information on their delivery points and services. The project could not have been successfully completed without the ceaseless effort of our hard-working teams, a sincere thanks to them.
Impact of traffic variability on geographic accessibility to 24/7 emergency healthcare for the urban poor: A GIS study in Dhaka, Bangladesh
(PLOS ONE, 9/16/2019) Ahmed, Shakil; Adams, Alayne M.; Islam, Rubana; Hasan, Shaikh Mehdi; Panciera, Rocco
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.
Urban Health Atlas (UHA): an interactive web-based tool for evidence-based healthcare planning
(icddr,b, 2021-10) Hasan, Shaikh Mehdi; Das, Susmita; Rakib, Nibras Ar; Islam, Rubana; Islam, Rahenul; Ahmed, Shakil; Adams, Alayne M
This research was funded by the Foreign, Commonwealth & Development Office (FCDO), Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Options Consultancy Services Limited, and International Development Research Centre (IDRC).