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Mow M, Thean LJ, Parnaby M, Mani J, Rafai E, Sahukhan A, Kama M, Tuicakau M, Kado J, Romani L, Engelman D, Whitfeld M, Kaldor J, Steer A, Carvalho N. Costs of mass drug administration for scabies in Fiji. PLoS Negl Trop Dis 2022; 16:e0010147. [PMID: 35113888 PMCID: PMC8846527 DOI: 10.1371/journal.pntd.0010147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 02/15/2022] [Accepted: 01/05/2022] [Indexed: 12/03/2022] Open
Abstract
In 2019, the Murdoch Children’s Research Institute in partnership with the Fiji Ministry of Health and Medical Services carried out an integrated mass drug administration (MDA) for the treatment of scabies and lymphatic filariasis in the Northern Division of Fiji (population estimate 131,914). We conducted a retrospective micro-costing exercise focused on the cost of scabies control in order to inform budgeting and policy decision making in an endemic setting. We collected detailed information on financial and economic costs incurred by both parties during the course of the MDA campaign (April 2018 to July 2019). We also conducted interviews with personnel involved in the financial administration of the MDA campaign. The economic cost of delivering two doses of ivermectin was US$4.88 per person. The cost of donated drugs accounted for 36.3% of total MDA costs. In this first large-scale MDA for the public health control of scabies, the estimated cost of delivering MDA per person for scabies was considerably more expensive than the costs reported for other neglected tropical diseases. The important cost drivers included the remuneration of health care workers who were extensively involved in the campaign, coverage of hard-to-reach, mainly rural populations and the two-dose regimen of ivermectin. These results highlight the importance of these cost determinants and can be used to plan current and future MDA programs. Scabies poses a significant burden on both health and economic systems. The Global Burden of Disease estimated that this skin disease affects more than 200 million people globally. However, the economic burden of scabies has not been studied widely and there are limited data on the cost of treating scabies in highly endemic areas. We conducted a costing study of a mass drug administration (MDA) program in the Northern Division of Fiji (population of 131,914). We collected financial and economic costs of administering ivermectin and permethrin to the whole of the Northern Division population in order to estimate the per capita cost of delivering MDA. The costs of MDA for scabies in Fiji were higher than those estimated in previous studies of MDA for other neglected tropical diseases. The study highlights significant cost components of implementing a large-scale MDA and provides key insights for the design and implementation of future MDA programs for scabies. It also adds to the general knowledge in understanding cost inputs and estimating the overall cost-effectiveness of this public health intervention.
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Affiliation(s)
- Maria Mow
- Tropical Diseases Group, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
- * E-mail:
| | - Li Jun Thean
- Tropical Diseases Group, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Matthew Parnaby
- Tropical Diseases Group, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
| | - Jyotishna Mani
- Tropical Diseases Group, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
| | - Eric Rafai
- Ministry of Health and Medical Services, Suva, Fiji
| | | | - Mike Kama
- Ministry of Health and Medical Services, Suva, Fiji
| | | | - Joseph Kado
- Ministry of Health and Medical Services, Suva, Fiji
- Wesfarmers Centre for Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Western Australia, Australia
| | - Lucia Romani
- Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia
| | - Daniel Engelman
- Tropical Diseases Group, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
- Melbourne Children’s Global Health, Melbourne Children’s Campus, The Royal Children’s Hospital, Melbourne, Victoria, Australia
| | - Margot Whitfeld
- Department of Dermatology, St. Vincent’s Hospital, Sydney, New South Wales, Australia
- School of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - John Kaldor
- Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia
| | - Andrew Steer
- Tropical Diseases Group, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
- Melbourne Children’s Global Health, Melbourne Children’s Campus, The Royal Children’s Hospital, Melbourne, Victoria, Australia
| | - Natalie Carvalho
- School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
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Wu P, Stayman JW, Mow M, Zbijewski W, Sisniega A, Aygun N, Stevens R, Foos D, Wang X, Siewerdsen JH. Reconstruction-of-difference (RoD) imaging for cone-beam CT neuro-angiography. Phys Med Biol 2018; 63:115004. [PMID: 29722296 DOI: 10.1088/1361-6560/aac225] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Timely evaluation of neurovasculature via CT angiography (CTA) is critical to the detection of pathology such as ischemic stroke. Cone-beam CTA (CBCT-A) systems provide potential advantages in the timely use at the point-of-care, although challenges of a relatively slow gantry rotation speed introduce tradeoffs among image quality, data consistency and data sparsity. This work describes and evaluates a new reconstruction-of-difference (RoD) approach that is robust to such challenges. A fast digital simulation framework was developed to test the performance of the RoD over standard reference reconstruction methods such as filtered back-projection (FBP) and penalized likelihood (PL) over a broad range of imaging conditions, grouped into three scenarios to test the trade-off between data consistency, data sparsity and peak contrast. Two experiments were also conducted using a CBCT prototype and an anthropomorphic neurovascular phantom to test the simulation findings in real data. Performance was evaluated primarily in terms of normalized root mean square error (NRMSE) in comparison to truth, with reconstruction parameters chosen to optimize performance in each case to ensure fair comparison. The RoD approach reduced NRMSE in reconstructed images by up to 50%-53% compared to FBP and up to 29%-31% compared to PL for each scenario. Scan protocols well suited to the RoD approach were identified that balance tradeoffs among data consistency, sparsity and peak contrast-for example, a CBCT-A scan with 128 projections acquired in 8.5 s over a 180° + fan angle half-scan for a time attenuation curve with ~8.5 s time-to-peak and 600 HU peak contrast. With imaging conditions such as the simulation scenarios of fixed data sparsity (i.e. varying levels of data consistency and peak contrast), the experiments confirmed the reduction of NRMSE by 34% and 17% compared to FBP and PL, respectively. The RoD approach demonstrated superior performance in 3D angiography compared to FBP and PL in all simulation and physical experiments, suggesting the possibility of CBCT-A on low-cost, mobile imaging platforms suitable to the point-of-care. The algorithm demonstrated accurate reconstruction with a high degree of robustness against data sparsity and inconsistency.
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Affiliation(s)
- P Wu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21205, United States of America
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