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Estimating the impact of improved management of haemophilia a on clinical outcomes and healthcare utilisation and costs

OBJECTIVE: Haemophilia A (HA) is associated with high clinical and healthcare burden. We developed an Excel-based model comparing current practice to improved management in severe HA patients currently managed on demand (OD). Outcomes included short- and long-term bleed events. Expected annual bleed...

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Autores principales: Chandrasekaran, Ravichandran, Dávoli, Mauro, Muda, Zulaiha, Pérez-Lozano, Uendy, Salhi, Naouel, Saxena, Nakul, Shen, Ming-Ching, Song, HyeRyoung Haylee, Sosothikul, Darintr, Soto-Arellano, Veronica Soledad, Solev, Igor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638687/
https://www.ncbi.nlm.nih.gov/pubmed/37950292
http://dx.doi.org/10.1186/s13104-023-06552-3
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author Chandrasekaran, Ravichandran
Dávoli, Mauro
Muda, Zulaiha
Pérez-Lozano, Uendy
Salhi, Naouel
Saxena, Nakul
Shen, Ming-Ching
Song, HyeRyoung Haylee
Sosothikul, Darintr
Soto-Arellano, Veronica Soledad
Solev, Igor
author_facet Chandrasekaran, Ravichandran
Dávoli, Mauro
Muda, Zulaiha
Pérez-Lozano, Uendy
Salhi, Naouel
Saxena, Nakul
Shen, Ming-Ching
Song, HyeRyoung Haylee
Sosothikul, Darintr
Soto-Arellano, Veronica Soledad
Solev, Igor
author_sort Chandrasekaran, Ravichandran
collection PubMed
description OBJECTIVE: Haemophilia A (HA) is associated with high clinical and healthcare burden. We developed an Excel-based model comparing current practice to improved management in severe HA patients currently managed on demand (OD). Outcomes included short- and long-term bleed events. Expected annual bleeds were estimated based on locally-derived OD annualised bleed rate (ABR), adjusted by relative prophylaxis-related ABRs (published literature). The objective of our study was to explore the impact of improving HA prophylaxis in target countries with limited published data (Algeria, Argentina, Chile, India, Malaysia, Mexico, Taiwan and Thailand). Bleed-related healthcare resource use (HCRU) and costs were estimated as a function of bleed type, with inputs obtained from local expert estimates. Clotting factor concentrates (CFC) consumption related to treatment and prophylaxis was estimated based on locally relevant dosing. CFC costs were not included. RESULTS: When 20% of OD patients were switched to prophylaxis, projected reduction in bleeds was estimated between 3% (Taiwan) through 14% (Algeria and India); projected reductions in hospitalisations ranged from 3% (Taiwan) through 15% (India). Projected HCRU-related annual cost savings were estimated at USD 0.45 m (Algeria), 0.77 m (Argentina), 0.28 m (Chile), 0.13 m (India), 0.29 m (Malaysia), 2.79 m (Mexico), 0.15 m (Taiwan) and 0.78 m (Thailand). Net change in annual CFC consumption ranged from a 0.05% reduction (Thailand) to an overall 5.4% increase (Algeria). Our model provides a flexible framework to estimate the clinical and cost offsets of improved prophylaxis. Modest increase in CFC consumption may be an acceptable offset for improvements in health and healthcare capacity in resource constrained economies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-023-06552-3.
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spelling pubmed-106386872023-11-11 Estimating the impact of improved management of haemophilia a on clinical outcomes and healthcare utilisation and costs Chandrasekaran, Ravichandran Dávoli, Mauro Muda, Zulaiha Pérez-Lozano, Uendy Salhi, Naouel Saxena, Nakul Shen, Ming-Ching Song, HyeRyoung Haylee Sosothikul, Darintr Soto-Arellano, Veronica Soledad Solev, Igor BMC Res Notes Research Note OBJECTIVE: Haemophilia A (HA) is associated with high clinical and healthcare burden. We developed an Excel-based model comparing current practice to improved management in severe HA patients currently managed on demand (OD). Outcomes included short- and long-term bleed events. Expected annual bleeds were estimated based on locally-derived OD annualised bleed rate (ABR), adjusted by relative prophylaxis-related ABRs (published literature). The objective of our study was to explore the impact of improving HA prophylaxis in target countries with limited published data (Algeria, Argentina, Chile, India, Malaysia, Mexico, Taiwan and Thailand). Bleed-related healthcare resource use (HCRU) and costs were estimated as a function of bleed type, with inputs obtained from local expert estimates. Clotting factor concentrates (CFC) consumption related to treatment and prophylaxis was estimated based on locally relevant dosing. CFC costs were not included. RESULTS: When 20% of OD patients were switched to prophylaxis, projected reduction in bleeds was estimated between 3% (Taiwan) through 14% (Algeria and India); projected reductions in hospitalisations ranged from 3% (Taiwan) through 15% (India). Projected HCRU-related annual cost savings were estimated at USD 0.45 m (Algeria), 0.77 m (Argentina), 0.28 m (Chile), 0.13 m (India), 0.29 m (Malaysia), 2.79 m (Mexico), 0.15 m (Taiwan) and 0.78 m (Thailand). Net change in annual CFC consumption ranged from a 0.05% reduction (Thailand) to an overall 5.4% increase (Algeria). Our model provides a flexible framework to estimate the clinical and cost offsets of improved prophylaxis. Modest increase in CFC consumption may be an acceptable offset for improvements in health and healthcare capacity in resource constrained economies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-023-06552-3. BioMed Central 2023-11-10 /pmc/articles/PMC10638687/ /pubmed/37950292 http://dx.doi.org/10.1186/s13104-023-06552-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Note
Chandrasekaran, Ravichandran
Dávoli, Mauro
Muda, Zulaiha
Pérez-Lozano, Uendy
Salhi, Naouel
Saxena, Nakul
Shen, Ming-Ching
Song, HyeRyoung Haylee
Sosothikul, Darintr
Soto-Arellano, Veronica Soledad
Solev, Igor
Estimating the impact of improved management of haemophilia a on clinical outcomes and healthcare utilisation and costs
title Estimating the impact of improved management of haemophilia a on clinical outcomes and healthcare utilisation and costs
title_full Estimating the impact of improved management of haemophilia a on clinical outcomes and healthcare utilisation and costs
title_fullStr Estimating the impact of improved management of haemophilia a on clinical outcomes and healthcare utilisation and costs
title_full_unstemmed Estimating the impact of improved management of haemophilia a on clinical outcomes and healthcare utilisation and costs
title_short Estimating the impact of improved management of haemophilia a on clinical outcomes and healthcare utilisation and costs
title_sort estimating the impact of improved management of haemophilia a on clinical outcomes and healthcare utilisation and costs
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638687/
https://www.ncbi.nlm.nih.gov/pubmed/37950292
http://dx.doi.org/10.1186/s13104-023-06552-3
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