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Introducing health gains in location-allocation models: A stochastic model for planning the delivery of long-term care

Cardoso, Teresa; Oliveira, Mónica Duarte; Barbósa-Póvoa, Ana Paula Ferreira Dias; Nickel, Stefan 1
1 Institut für Operations Research (IOR), Karlsruher Institut für Technologie (KIT)


Although the maximization of health is a key objective in health care systems, location-allocation literature has not yet considered this dimension. This study proposes a multi-objective stochastic mathematical programming approach to support the planning of a multi-service network of long-term care (LTC), both in terms of services location and capacity planning. This approach is based on a mixed integer linear programming model with two objectives – the maximization of expected health gains and the minimization of expected costs – with satisficing levels in several dimensions of equity – namely, equity of access, equity of utilization, socioeconomic equity and geographical equity – being imposed as constraints. The augmented ε-constraint method is used to explore the trade-off between these conflicting objectives, with uncertainty in the demand and delivery of care being accounted for. The model is applied to analyze the (re)organization of the LTC network currently operating in the Great Lisbon region in Portugal for the 2014-2016 period. Results show that extending the network of LTC is a cost-effective investment.

Volltext §
DOI: 10.5445/IR/1000052186
DOI: 10.1088/1742-6596/616/1/012007
Zitationen: 2
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Operations Research (IOR)
Karlsruhe Service Research Institute (KSRI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2015
Sprache Englisch
Identifikator ISSN: 1742-6588, 1742-6596
KITopen-ID: 1000052186
Erschienen in Journal of physics / Conference Series
Verlag Institute of Physics Publishing Ltd (IOP Publishing Ltd)
Band 616
Heft 1
Seiten Article no: 012007
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