Capacity Planning for Publicly Funded Community Based Long-Term Care Services

Feng Lin (), Nan Kong () and Mark Lawley ()
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Feng Lin: Purdue University
Nan Kong: Purdue University
Mark Lawley: Purdue University

Chapter Chapter 12 in Community-Based Operations Research, 2012, pp 297-315 from Springer

Abstract: Abstract Long-term care (LTC) provides medical and non-medical services to people with chronic disease or disability, many of whom are older adults eligible for receiving care through public funding sources. Annual spending on LTC in the United States exceeds $200 billion per year and is increasing rapidly. As a large portion of the population receives publicly-paid LTC, the public programs supporting LTC face increasing financial pressures. Although nursing home care has been a viable option, it is three times more costly than community-based care, which offers a flexible alternative by providing care at home and in the community. However, little is known on how much infrastructure is needed to provide such care. We showcase the potential of operations research to support decision making to improve the LTC delivery system. We formulate an optimal control problem to determine the infrastructure capacity of community-based care from a cost saving viewpoint. This example shows that methodologies of operations research can provide valuable insights in improving LTC delivery.

Keywords: Nursing Home; Informal Caregiver; Capacity Planning; Nursing Home Care; Optimal Control Model (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/978-1-4614-0806-2_12

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