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Costing of helicopter emergency services- a strategic simulation based on the example of a German rural region

BACKGROUND: Helicopter emergency services (HEMS) are of increasing relevance for emergency medical services (EMS) of developed countries. Despite the known cost intensity of HEMS, there is only very limited knowledge of its cost dynamics and structures. This averts an efficient resource allocation o...

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Autores principales: Röper, Johann, Krohn, Markus, Fleßa, Steffen, Thies, Karl-Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545858/
https://www.ncbi.nlm.nih.gov/pubmed/33030618
http://dx.doi.org/10.1186/s13561-020-00287-8
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author Röper, Johann
Krohn, Markus
Fleßa, Steffen
Thies, Karl-Christian
author_facet Röper, Johann
Krohn, Markus
Fleßa, Steffen
Thies, Karl-Christian
author_sort Röper, Johann
collection PubMed
description BACKGROUND: Helicopter emergency services (HEMS) are of increasing relevance for emergency medical services (EMS) of developed countries. Despite the known cost intensity of HEMS, there is only very limited knowledge of its cost dynamics and structures. This averts an efficient resource allocation of scarce EMS resources in an environment that is characterized by socio-political, medical and economic challenges. The objective of this study is the exemplary modeling of HEMS cost structures. METHODS: We defined three scenarios with each five variations to illustrate different models of HEMS provision. Into these, we included varying availability times, technical features for off-shore or alpine rescue and differing numbers of operations. Cost data is based on a broad literature review and primary data from a German HEMS organization resulting in a cost function. We calculated average costs per primary missions and total costs, whilst differentiating between fixed, jump-fixed, variable and maintenance costs for every scenario variation. The costs were further used to evaluate the profitability of operations by executing a break-even analysis. RESULTS: Average costs per HEMS operation decrease with increasing number of operations due to the digression of fixed costs. Depending on special equipment, availability times or other assumptions, total costs differ significantly with the different scenario variations. For the basic scenario (12 h of operations per day), the total costs per year of HEMS are 1,697,546.20 € and the unit costs are 763.41 € per primary mission at 1200 primary and 92 secondary operations. At an engine-runtime based revenue of 70 € per minute, global cost covering is possible after 728 missions (c.p.). CONCLUSIONS: Considering a revenue of 70 € per minute of engine run-time, HEMS can be operated at a profit for companies. However, the necessary remuneration represents a high financial effort for the societal cost bearers of helicopter emergency services. This leads to the question of the cost-benefit ratio of HEMS, which could be approached in further researches by using this model. The valuation of mission costs also opens a new view to the framework of HEMS disposition procedures and criteria. This cost analysis enhances the necessity of better planning of HEMS networks to use available resources efficiently in order to improve social welfare.
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spelling pubmed-75458582020-10-13 Costing of helicopter emergency services- a strategic simulation based on the example of a German rural region Röper, Johann Krohn, Markus Fleßa, Steffen Thies, Karl-Christian Health Econ Rev Research BACKGROUND: Helicopter emergency services (HEMS) are of increasing relevance for emergency medical services (EMS) of developed countries. Despite the known cost intensity of HEMS, there is only very limited knowledge of its cost dynamics and structures. This averts an efficient resource allocation of scarce EMS resources in an environment that is characterized by socio-political, medical and economic challenges. The objective of this study is the exemplary modeling of HEMS cost structures. METHODS: We defined three scenarios with each five variations to illustrate different models of HEMS provision. Into these, we included varying availability times, technical features for off-shore or alpine rescue and differing numbers of operations. Cost data is based on a broad literature review and primary data from a German HEMS organization resulting in a cost function. We calculated average costs per primary missions and total costs, whilst differentiating between fixed, jump-fixed, variable and maintenance costs for every scenario variation. The costs were further used to evaluate the profitability of operations by executing a break-even analysis. RESULTS: Average costs per HEMS operation decrease with increasing number of operations due to the digression of fixed costs. Depending on special equipment, availability times or other assumptions, total costs differ significantly with the different scenario variations. For the basic scenario (12 h of operations per day), the total costs per year of HEMS are 1,697,546.20 € and the unit costs are 763.41 € per primary mission at 1200 primary and 92 secondary operations. At an engine-runtime based revenue of 70 € per minute, global cost covering is possible after 728 missions (c.p.). CONCLUSIONS: Considering a revenue of 70 € per minute of engine run-time, HEMS can be operated at a profit for companies. However, the necessary remuneration represents a high financial effort for the societal cost bearers of helicopter emergency services. This leads to the question of the cost-benefit ratio of HEMS, which could be approached in further researches by using this model. The valuation of mission costs also opens a new view to the framework of HEMS disposition procedures and criteria. This cost analysis enhances the necessity of better planning of HEMS networks to use available resources efficiently in order to improve social welfare. Springer Berlin Heidelberg 2020-10-08 /pmc/articles/PMC7545858/ /pubmed/33030618 http://dx.doi.org/10.1186/s13561-020-00287-8 Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://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
Röper, Johann
Krohn, Markus
Fleßa, Steffen
Thies, Karl-Christian
Costing of helicopter emergency services- a strategic simulation based on the example of a German rural region
title Costing of helicopter emergency services- a strategic simulation based on the example of a German rural region
title_full Costing of helicopter emergency services- a strategic simulation based on the example of a German rural region
title_fullStr Costing of helicopter emergency services- a strategic simulation based on the example of a German rural region
title_full_unstemmed Costing of helicopter emergency services- a strategic simulation based on the example of a German rural region
title_short Costing of helicopter emergency services- a strategic simulation based on the example of a German rural region
title_sort costing of helicopter emergency services- a strategic simulation based on the example of a german rural region
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545858/
https://www.ncbi.nlm.nih.gov/pubmed/33030618
http://dx.doi.org/10.1186/s13561-020-00287-8
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