Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30229
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHasan, MZ-
dc.contributor.authorAhmed, S-
dc.contributor.authorIslam, Z-
dc.contributor.authorDorin, F-
dc.contributor.authorRabbani, MG-
dc.contributor.authorMehdi, GG-
dc.contributor.authorAhmed, MW-
dc.contributor.authorTahsina, T-
dc.contributor.authorMahmood, SS-
dc.contributor.authorIslam, Z-
dc.date.accessioned2024-11-23T13:47:43Z-
dc.date.available2024-11-23T13:47:43Z-
dc.date.issued2023-06-02-
dc.identifierORCiD: Md. Zahid Hasan https://orcid.org/0000-0002-3824-8947-
dc.identifierORCiD: Sayem Ahmed https://orcid.org/0000-0001-9499-1500-
dc.identifierORCiD: Mohammad Wahid Ahmed https://orcid.org/0000-0003-3157-785X-
dc.identifierORCiD: Shehrin Shaila Mahmood https://orcid.org/0000-0002-6546-9120-
dc.identifiere0286560-
dc.identifier.citationHasan, M.Z et al. (2023) 'Costs of services and funding gap of the Bangladesh National Tuberculosis Control Programme 2016-2022: An ingredient based approach', PLoS ONE, 18 (6), pp. 1 - 16. doi: 10.1371/journal.pone.0286560.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/30229-
dc.descriptionData Availability: All relevant data are within the paper and its Supporting Information files available online at: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0286560#sec019 .en_US
dc.description.abstractBackground Bangladesh National Tuberculosis (TB) Control Programme (NTP) has deployed improved diagnostic technologies which may drive up the programme costs. We aimed to estimate the supply-side costs associated with the delivery of the NTP and the funding gap between the cost of implementation and available funding for the Bangladesh NTP. Methods An ingredient-based costing approach was applied using WHO's OneHealth Tool software. We considered 2016, as the base year and projected cost estimates up to 2022 using information on NTP planned activities. Data were collected through consultative meetings with experts and officials/managers, review of documents and databases, and visits to five purposively selected TB healthcare facilities. The estimated costs were compared with the funds allocated to the NTP between 2018 and 2022 to estimate the funding gap. Findings The estimated total cost of NTP was US$ 49.22 million in 2016, which would increase to US $ 146.93 million in 2022. Human resources (41.1%) and medicines and investigations/ supplies (38.0%) were the major two cost components. Unit costs were highest for treating extensively drug-resistant TB at US$ 7,422.4 in 2016. Between 2018-2022, NTP would incur US$ 536.8 million, which is US$ 235.18 million higher than the current allocation for NTP. Conclusion Our results indicated a funding gap associated with the NTP in each of the years between 2018-2022. Policy planners should advocate for additional funding to ensure smooth delivery of TB services in the upcoming years. The cost estimates of TB services can also be used for planning and budgeting for delivering TB services in similar country contexts.en_US
dc.description.sponsorshipThis work was supported by the United States Agency for International Development (USAID) under the terms of the USAID’s Research for Decision Makers (RDM) Activity cooperative agreement [AID-388-A-17-00006]. icddr,b acknowledges with gratitude the commitment of USAID’s RDM activity to its research efforts and funding for this study.en_US
dc.format.mediumElectronic-
dc.language.isoen_USen_US
dc.publisherPLOSen_US
dc.rightsAttribution 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjecttuberculosisen_US
dc.subjectdrug therapyen_US
dc.subjecttuberculosis diagnosis and managementen_US
dc.subjecthealth care facilitiesen_US
dc.subjectneurological drug therapyen_US
dc.subjectBangladeshen_US
dc.subjectX-ray microscopyen_US
dc.subjectmulti-drug-resistant tuberculosisen_US
dc.titleCosts of services and funding gap of the Bangladesh National Tuberculosis Control Programme 2016-2022: An ingredient based approachen_US
dc.typeArticleen_US
dc.date.dateAccepted2023-05-18-
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0286560-
dc.relation.isPartOfPLoS ONE-
pubs.issue6 June-
pubs.publication-statusPublished-
pubs.volume18-
dc.identifier.eissn1932-6203-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dc.rights.holderHasan et al.-
Appears in Collections:Dept of Health Sciences Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright: © 2023 Hasan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.867.19 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons