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Analyzing closer care strategies for elderly patients: Experience and reflections from modeling with system dynamics
School of Engineering, Jönköping University, Sweden.ORCID iD: 0000-0001-8188-7288
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-4604-6429
2021 (English)In: Operational Research Society 10th Simulation Workshop, SW 2021: Proceedings / [ed] Masoud Fakhimi; Tom Boness; Duncan Robertson, Operational Research Society , 2021, p. 117-126Conference paper, Published paper (Refereed)
Abstract [en]

The expected demographic changes, and especially the rise in life expectancy, will considerably increase elderly patients' demand for healthcare. There are different strategies that can offer better care for these patients, reduce their unnecessary visits to the emergency departments, and in consequence, reduce the number of hospitalizations and days at the hospital. This study employed system dynamics to analyze the economic and quality-related effects of different closer care strategies such as investments in care coordinators and mobile health clinics, as well as to offer proactive care in the primary care facilities for elderly patients. The results indicate that a combination of the different strategies will support better care for patients, will reduce hospital costs and will reduce the existing pressure on the emergency department. The paper also reflects on the process followed to conduct the study and the lessons learned. 

Place, publisher, year, edition, pages
Operational Research Society , 2021. p. 117-126
Keywords [en]
Elderly care, Healthcare, Simulation, System dynamics, Emergency rooms, Demographic changes, Emergency departments, Health clinics, Hospital costs, Life expectancies, Primary care, System theory
National Category
Production Engineering, Human Work Science and Ergonomics Health Care Service and Management, Health Policy and Services and Health Economy Nursing
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-19718DOI: 10.36819/SW21.012Scopus ID: 2-s2.0-85105865755ISBN: 978-0-903440-66-0 (electronic)OAI: oai:DiVA.org:his-19718DiVA, id: diva2:1557725
Conference
Operational Research Society 10th Simulation Workshop, SW 2021, SW21, virtual, online, 22-26 March 2021
Note

© 2021 SW 2021. All rights reserved.

Available from: 2021-05-27 Created: 2021-05-27 Last updated: 2024-06-27Bibliographically approved

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Linnéusson, GaryGoienetxea Uriarte, Ainhoa

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Production Engineering, Human Work Science and ErgonomicsHealth Care Service and Management, Health Policy and Services and Health EconomyNursing

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