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Operations Research Improves Quality and Efficiency in Home Care

Author

Listed:
  • Patrik Eveborn

    (Optimal Solutions AB, SE-58330 Linköping, Sweden)

  • Mikael Rönnqvist

    (Norwegian School of Economics and Business Administration, NO-5045 Bergen, Norway)

  • Helga Einarsdóttir

    (City of Stockholm, SE-10535 Stockholm, Sweden)

  • Mats Eklund

    (TietoEnator, SE-73821 Kista, Sweden)

  • Karin Lidén

    (Norberg Municipality, SE-73821 Norberg, Sweden)

  • Marie Almroth

    (Linköping Municipality, SE-58181 Linköping, Sweden)

Abstract

Elder care systems are facing increased costs, primarily because the elderly constitute a growing percentage of the population. Sweden publicly finances such systems; in 2005, the cost to taxpayers on a national level was 8.8 billion euros ($13 billion). The many customized aspects of scheduling home care workers to assist elderly and disabled citizens with their varying needs contribute to these costs. Laps Care , a system that was developed in 2002, uses operations research modeling to eliminate the manual planning of home care unit assignments. More than 200 units/organizations in Swedish municipalities use Laps Care each day to plan staff scheduling and routing for 4,000 home care workers. The system has increased operational efficiency by 10--15 percent; this corresponds to an annual savings of 20--30 million euros ($30--$45 million). In addition, the quality of home care for elderly citizens has improved. The City of Stockholm, with its 800,000 inhabitants, adopted Laps Care in 2006 and started a full implementation and rollout during 2008, thus adding 800 units and 15,000 home care workers to the system. The savings for the City of Stockholm will be 20--30 million euros ($30--$45 million).

Suggested Citation

  • Patrik Eveborn & Mikael Rönnqvist & Helga Einarsdóttir & Mats Eklund & Karin Lidén & Marie Almroth, 2009. "Operations Research Improves Quality and Efficiency in Home Care," Interfaces, INFORMS, vol. 39(1), pages 18-34, February.
    • Handle: RePEc:inm:orinte:v:39:y:2009:i:1:p:18-34
    DOI: 10.1287/inte.1080.0411
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Sacramento Quintanilla & Francisco Ballestín & Ángeles Pérez, 2020. "Mathematical models to improve the current practice in a Home Healthcare Unit," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(1), pages 43-74, March.
    2. Nizar Hachemi & Issmail Hallaoui & Michel Gendreau & Louis-Martin Rousseau, 2015. "Flow-based integer linear programs to solve the weekly log-truck scheduling problem," Annals of Operations Research, Springer, vol. 232(1), pages 87-97, September.
    3. Maya Duque, P.A. & Castro, M. & Sörensen, K. & Goos, P., 2015. "Home care service planning. The case of Landelijke Thuiszorg," European Journal of Operational Research, Elsevier, vol. 243(1), pages 292-301.
    4. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.
    5. Elena Andreyeva & Guy David & Hummy Song, 2018. "The Effects of Home Health Visit Length on Hospital Readmission," NBER Working Papers 24566, National Bureau of Economic Research, Inc.
    6. Gerhard Hiermann & Matthias Prandtstetter & Andrea Rendl & Jakob Puchinger & Günther Raidl, 2015. "Metaheuristics for solving a multimodal home-healthcare scheduling problem," 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. 23(1), pages 89-113, March.
    7. Vidal, Thibaut & Laporte, Gilbert & Matl, Piotr, 2020. "A concise guide to existing and emerging vehicle routing problem variants," European Journal of Operational Research, Elsevier, vol. 286(2), pages 401-416.
    8. Enrique Arvelo & Jesica de Armas & Monserrat Guillen, 2020. "Assessing the Distribution of Elderly Requiring Care: A Case Study on the Residents in Barcelona and the Impact of COVID-19," IJERPH, MDPI, vol. 17(20), pages 1-15, October.
    9. Sophie N. Parragh & Karl F. Doerner, 2018. "Solving routing problems with pairwise synchronization constraints," 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. 26(2), pages 443-464, June.
    10. Braekers, Kris & Hartl, Richard F. & Parragh, Sophie N. & Tricoire, Fabien, 2016. "A bi-objective home care scheduling problem: Analyzing the trade-off between costs and client inconvenience," European Journal of Operational Research, Elsevier, vol. 248(2), pages 428-443.
    11. Lin, Meiyan & Ma, Lijun & Ying, Chengshuo, 2021. "Matching daily home health-care demands with supply in service-sharing platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    12. 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.
    13. J. Arturo Castillo-Salazar & Dario Landa-Silva & Rong Qu, 2016. "Workforce scheduling and routing problems: literature survey and computational study," Annals of Operations Research, Springer, vol. 239(1), pages 39-67, April.
    14. Gomes, Maria Isabel & Ramos, Tânia Rodrigues Pereira, 2019. "Modelling and (re-)planning periodic home social care services with loyalty and non-loyalty features," European Journal of Operational Research, Elsevier, vol. 277(1), pages 284-299.
    15. Sanja Petrovic, 2019. "“You have to get wet to learn how to swim” applied to bridging the gap between research into personnel scheduling and its implementation in practice," Annals of Operations Research, Springer, vol. 275(1), pages 161-179, April.
    16. Paola Cappanera & Maria Grazia Scutellà, 2015. "Joint Assignment, Scheduling, and Routing Models to Home Care Optimization: A Pattern-Based Approach," Transportation Science, INFORMS, vol. 49(4), pages 830-852, November.
    17. Gang Du & Xi Liang & Chuanwang Sun, 2017. "Scheduling Optimization of Home Health Care Service Considering Patients’ Priorities and Time Windows," Sustainability, MDPI, vol. 9(2), pages 1-22, February.
    18. Andrew S. Manikas & James R. Kroes & Thomas F. Gattiker, 2016. "Metro Meals on Wheels Treasure Valley Employs a Low-Cost Routing Tool to Improve Deliveries," Interfaces, INFORMS, vol. 46(2), pages 154-167, April.
    19. Norina Szander & Lorenzo Ros-McDonnell & María Victoria De-la-Fuente-Aragón & Robert Vodopivec, 2018. "Sustainable Urban Homecare Delivery with Different Means of Transport," Sustainability, MDPI, vol. 10(2), pages 1-12, February.
    20. Lorenzo Ros-McDonnell & Norina Szander & María Victoria de-la-Fuente-Aragón & Robert Vodopivec, 2019. "Scheduling Sustainable Homecare with Urban Transport and Different Skilled Nurses Using an Approximate Algorithm," Sustainability, MDPI, vol. 11(22), pages 1-14, November.
    21. Mohamed Cissé & Semih Yalçindag & Yannick Kergosien & Evren Sahin & Christophe Lenté & Andrea Matta, 2017. "OR problems related to Home Health Care: A review of relevant routing and scheduling problems," Post-Print hal-01736714, HAL.
    22. Berit Irene Helgheim & Birgithe Sandbaek, 2021. "Who Is Doing What in Home Care Services?," IJERPH, MDPI, vol. 18(19), pages 1-9, October.

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