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

Author

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  • Klaus-Dieter Rest

    (University of Natural Resources and Life Sciences, Vienna)

  • Patrick Hirsch

    (University of Natural Resources and Life Sciences, Vienna)

Abstract

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.

Suggested Citation

  • Klaus-Dieter Rest & Patrick Hirsch, 2022. "Insights and decision support for home health care services in times of disasters," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 133-157, March.
    • Handle: RePEc:spr:cejnor:v:30:y:2022:i:1:d:10.1007_s10100-021-00770-5
    DOI: 10.1007/s10100-021-00770-5
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    References listed on IDEAS

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    1. Klaus-Dieter Rest & Patrick Hirsch, 2016. "Daily scheduling of home health care services using time-dependent public transport," Flexible Services and Manufacturing Journal, Springer, vol. 28(3), pages 495-525, September.
    2. Reichl, Johannes & Schmidthaler, Michael & Schneider, Friedrich, 2013. "The value of supply security: The costs of power outages to Austrian households, firms and the public sector," Energy Economics, Elsevier, vol. 36(C), pages 256-261.
    3. Powell, J.H. & Mustafee, N. & Chen, A.S. & Hammond, M., 2016. "System-focused risk identification and assessment for disaster preparedness: Dynamic threat analysis," European Journal of Operational Research, Elsevier, vol. 254(2), pages 550-564.
    4. Hassan Haes Alhelou & Mohamad Esmail Hamedani-Golshan & Takawira Cuthbert Njenda & Pierluigi Siano, 2019. "A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges," Energies, MDPI, vol. 12(4), pages 1-28, February.
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    Cited by:

    1. Marija Milavec Kapun & Rok Drnovšek & Vladislav Rajkovič & Uroš Rajkovič, 2023. "A multi-criteria decision model for assessing health and self-care ability," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(3), pages 911-926, September.
    2. Nasir, Jamal Abdul & Kuo, Yong-Hong, 2024. "Stochastic home care transportation with dynamically prioritized patients: An integrated facility location, fleet sizing, and routing approach," Transportation Research Part B: Methodological, Elsevier, vol. 184(C).

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