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Long-Term Care Sustainable Networks in ADRION Region

Author

Listed:
  • David Bogataj

    (Department of Systems Engineering and Economics, Alma Mater Europaea—ECM, Slovenska cesta 17, 2000 Maribor, Slovenia
    Escuela Técnica Superior de Ingeniería Industrial, Campus Muralla del Mar, Universidad Politécnica de Cartagena, C/Dr. Fleming s/n, 30202 Cartagena, Spain
    Institute INRISK, Kidriceva 1, 8210 Trebnje, Slovenia)

  • Marija Bogataj

    (Institute INRISK, Kidriceva 1, 8210 Trebnje, Slovenia)

  • Samo Drobne

    (Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova 2, 1000 Ljubljana, Slovenia)

Abstract

The Long-Term Care (LTC) industry mainly comprises networks managed by providers of services other than informal caregivers and government agencies. Among the providers are the local providers of community-based services. The segment still consists of mostly small businesses. As such, it needs many improvements in logistics, information and communication technology (ICT) support, and educational programs, specifically in the ADRION region, where the rural areas require a high percentage of travel time in a working day for service providers. The demand for LTC services must be known early enough for providers to adapt to the growth of these demands, and they also need methods to support decisions on how to optimize the number of care workers to be able to plan the necessary human resources in the long term. The results are based on the authors’ previous studies of sustainable hierarchical spatial systems. The paper presents the achievements of these research activities and policies, governance and financing in the hierarchically organized services and networks of educational programs for human resources and ICT innovations in LTC, which are currently in short supply. Projections of capacities from facilities are necessary. Logistic networks to human resources are based on geo-gerontological projections, such as the multistate transition model, which is a new achievement in this area, and the adequate norms and standards of these services. The optimal number of human resources is based on the combination of the Patterson-Albracht algorithm and Multiple Travelling Salesman Problem (mTSP), as a new Home Health Care Routing and Scheduling Problem (HHCRSP), which helps in ensuring the inclusion of travel time in the concept of norms and standards, to achieve a work balance and care schedule according to the wishes of clients. The proposed approach might help professionals adapt in advance to the coming changes caused by the growing number of seniors and rapid changes in technology, and might also help in considerations as to whether the priorities of clients should be included in the basic national insurance programs or additionally charged as a higher standard of home care services. The aim is to make care and supply networks as sustainable as possible.

Suggested Citation

  • David Bogataj & Marija Bogataj & Samo Drobne, 2022. "Long-Term Care Sustainable Networks in ADRION Region," Sustainability, MDPI, vol. 14(18), pages 1-23, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11154-:d:908122
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    References listed on IDEAS

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    1. Vega, W.A. & Wallace, S.P., 2016. "Affordable housing: A key lever to community health for older americans," American Journal of Public Health, American Public Health Association, vol. 106(4), pages 635-636.
    2. Nickel, Stefan & Schröder, Michael & Steeg, Jörg, 2012. "Mid-term and short-term planning support for home health care services," European Journal of Operational Research, Elsevier, vol. 219(3), pages 574-587.
    3. Marcus C. Christiansen & Michel M. Denuit & Jan Dhaene, 2014. "Reserve-Dependent Benefits and Costs in Life and Health Insurance Contracts," Tinbergen Institute Discussion Papers 14-117/IV/DSF80, Tinbergen Institute.
    4. A Hertz & N Lahrichi, 2009. "A patient assignment algorithm for home care services," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(4), pages 481-495, April.
    5. Rasmussen, Matias Sevel & Justesen, Tor & Dohn, Anders & Larsen, Jesper, 2012. "The Home Care Crew Scheduling Problem: Preference-based visit clustering and temporal dependencies," European Journal of Operational Research, Elsevier, vol. 219(3), pages 598-610.
    6. Bogataj, David & McDonnell, Diego Ros & Bogataj, Marija, 2016. "Management, financing and taxation of housing stock in the shrinking cities of aging societies," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 2-13.
    7. Noémie Roy & Roxanne Dubé & Carole Després & Adriana Freitas & France Légaré, 2018. "Choosing between staying at home or moving: A systematic review of factors influencing housing decisions among frail older adults," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-32, January.
    8. Ran Liu & Biao Yuan & Zhibin Jiang, 2017. "Mathematical model and exact algorithm for the home care worker scheduling and routing problem with lunch break requirements," International Journal of Production Research, Taylor & Francis Journals, vol. 55(2), pages 558-575, January.
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    Cited by:

    1. Bogataj, Marija & Bogataj, David & Drobne, Samo, 2023. "Planning and managing public housing stock in the silver economy," International Journal of Production Economics, Elsevier, vol. 260(C).

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