Sweeney, S, Cunnama, L, Laurence, Y, Garcia Baena, I, Kairu, A, Minyewelet, M, Eyob, H, Chatterjee, S, Toshniwal, M, Chikovani, I, Shingelia, N, Capeding, TJ and Vassall, A. 2021. Value TB Dataset: costs per direct & ancillary service. [Online]. Harvard Dataverse. Available from: https://doi.org/10.7910/DVN/UGYNGT
Sweeney, S, Cunnama, L, Laurence, Y, Garcia Baena, I, Kairu, A, Minyewelet, M, Eyob, H, Chatterjee, S, Toshniwal, M, Chikovani, I, Shingelia, N, Capeding, TJ and Vassall, A. Value TB Dataset: costs per direct & ancillary service [Internet]. Harvard Dataverse; 2021. Available from: https://doi.org/10.7910/DVN/UGYNGT
Sweeney, S, Cunnama, L, Laurence, Y, Garcia Baena, I, Kairu, A, Minyewelet, M, Eyob, H, Chatterjee, S, Toshniwal, M, Chikovani, I, Shingelia, N, Capeding, TJ and Vassall, A (2021). Value TB Dataset: costs per direct & ancillary service. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/UGYNGT
Description
This dataset contains the costs of direct & ancillary services (outputs) for TB, as estimated in the Value TB project. Data was collected in 78 health facilities across five countries (including Kenya, Ethiopia, India, Philippines, and Georgia). Data contains the total cost incurred at the facility level, the total quantity of outputs delivered at each facility during the costing period, and the unit cost of delivering one output. Total and unit costs are detailed by input (including staff time, building space, capital, equipment, supplies, etc).
Keywords
Data capture method | Unknown |
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Date (Date published in a 3rd party system) | 12 January 2021 |
Language(s) of written materials | English |
Data Creators | Sweeney, S, Cunnama, L, Laurence, Y, Garcia Baena, I, Kairu, A, Minyewelet, M, Eyob, H, Chatterjee, S, Toshniwal, M, Chikovani, I, Shingelia, N, Capeding, TJ and Vassall, A |
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LSHTM Faculty/Department | Faculty of Public Health and Policy > Dept of Global Health and Development |
Research Centre | TB Centre |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Funders |
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Date Deposited | 13 Sep 2021 09:33 |
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Last Modified | 13 Sep 2021 09:36 |
Publisher | Harvard Dataverse |