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Insights and decision support for home health care services in times of disasters

Home health care (HHC) services are of vital importance for the health care system of many countries. Further increases in their demand must be expected and with it grows the need to sustain these services in times of disasters. Existing risk assessment tools and guides support HHC service providers...

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Autores principales: Rest, Klaus-Dieter, Hirsch, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326643/
https://www.ncbi.nlm.nih.gov/pubmed/34366709
http://dx.doi.org/10.1007/s10100-021-00770-5
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author Rest, Klaus-Dieter
Hirsch, Patrick
author_facet Rest, Klaus-Dieter
Hirsch, Patrick
author_sort Rest, Klaus-Dieter
collection PubMed
description Home health care (HHC) services are of vital importance for the health care system of many countries. Further increases in their demand must be expected and with it grows the need to sustain these services in times of disasters. Existing risk assessment tools and guides support HHC service providers to secure their services. However, they do not provide insights on interdependencies of complex systems like HHC. Causal-Loop-Diagrams (CLDs) are generated to visualize the impacts of epidemics, blackouts, heatwaves, and floods on the HHC system. CLDs help to understand the system design as well as cascading effects. Additionally, they simplify the process of identifying points of action in order to mitigate the impacts of disasters. In a case study, the course of the COVID-19 pandemic and its effects on HHC in Austria in spring 2020 are shown. A decision support system (DSS) to support the daily scheduling of HHC nurses is presented and applied to numerically analyze the impacts of the COVID-19 pandemic, using real-world data from a HHC service provider in Vienna. The DSS is based on a Tabu Search metaheuristic that specifically aims to deal with the peculiarities of urban regions. Various transport modes are considered, including time-dependent public transport.
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spelling pubmed-83266432021-08-02 Insights and decision support for home health care services in times of disasters Rest, Klaus-Dieter Hirsch, Patrick Cent Eur J Oper Res Article Home health care (HHC) services are of vital importance for the health care system of many countries. Further increases in their demand must be expected and with it grows the need to sustain these services in times of disasters. Existing risk assessment tools and guides support HHC service providers to secure their services. However, they do not provide insights on interdependencies of complex systems like HHC. Causal-Loop-Diagrams (CLDs) are generated to visualize the impacts of epidemics, blackouts, heatwaves, and floods on the HHC system. CLDs help to understand the system design as well as cascading effects. Additionally, they simplify the process of identifying points of action in order to mitigate the impacts of disasters. In a case study, the course of the COVID-19 pandemic and its effects on HHC in Austria in spring 2020 are shown. A decision support system (DSS) to support the daily scheduling of HHC nurses is presented and applied to numerically analyze the impacts of the COVID-19 pandemic, using real-world data from a HHC service provider in Vienna. The DSS is based on a Tabu Search metaheuristic that specifically aims to deal with the peculiarities of urban regions. Various transport modes are considered, including time-dependent public transport. Springer Berlin Heidelberg 2021-08-02 2022 /pmc/articles/PMC8326643/ /pubmed/34366709 http://dx.doi.org/10.1007/s10100-021-00770-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Rest, Klaus-Dieter
Hirsch, Patrick
Insights and decision support for home health care services in times of disasters
title Insights and decision support for home health care services in times of disasters
title_full Insights and decision support for home health care services in times of disasters
title_fullStr Insights and decision support for home health care services in times of disasters
title_full_unstemmed Insights and decision support for home health care services in times of disasters
title_short Insights and decision support for home health care services in times of disasters
title_sort insights and decision support for home health care services in times of disasters
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326643/
https://www.ncbi.nlm.nih.gov/pubmed/34366709
http://dx.doi.org/10.1007/s10100-021-00770-5
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