Queuing models for long term care wait time reduction & capacity optimization : a Nova Scotia study

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dc.contributor.advisor Zhang, Michael Xiaoou, 1973-
dc.coverage.spatial Nova Scotia
dc.creator Hallal, Louisa
dc.date.accessioned 2015-09-23T13:43:32Z
dc.date.available 2015-09-23T13:43:32Z
dc.date.issued 2015
dc.identifier.other RA998 C3 H35 2015
dc.identifier.uri http://library2.smu.ca/xmlui/handle/01/26322
dc.description xiv, 144 leaves : ill. (chiefly col.) ; 29 cm.
dc.description Includes abstract and appendices.
dc.description Includes bibliographical references (leaves 133-141).
dc.description.abstract As Nova Scotia’s society ages, more personal and health care will be needed for people who require assistance to function; thus, policymakers face the challenge of balancing the fiscal burden with the need to ensure that seniors with long term needs receive proper care. This is a challenge best to be confronted before the wave of baby boomers begins to draw on long term care programs in few years. As this happens, demand to access long-term care increases. Also, waiting times escalate and alternative level of care is crowded, due to insufficient beddings in long-term care facilities. Keeping patients waiting too long could result in waiting costs to them; providing too much service to operate a system with less waiting time involves excessive capacity costs. However, not providing enough service capacity results in excessive waiting time and cost. This research presents models that seek to solve the long waiting time challenge in long term care system in Nova Scotia by finding the optimum capacity allocation. First, an analysis on data from the Department of Health Wellness is done to observe the difference in turnover rate and waiting time between different District Health Authorities in Nova Scotia. Second, using two different approaches, a Markov Chain model is used to reduce long-term care waiting time in Nova Scotia. Third, focusing on a case of a nursing home, a M/M/s queuing model is used to optimize the waiting time and resource allocation combination using scenario analysis, a detailed cost model is provided. The accuracy and behaviour of the queuing models are tested through simulation models and our results, comparisons, policy insights, recommendations, and conclusions are provided. en_CA
dc.language.iso en en_CA
dc.publisher Halifax, N.S. : Saint Mary's University
dc.subject.lcc RA998.C3
dc.subject.lcsh Long-term care facilities -- Nova Scotia -- Administration -- Mathematical models
dc.subject.lcsh Queuing theory
dc.title Queuing models for long term care wait time reduction & capacity optimization : a Nova Scotia study en_CA
dc.type Text en_CA
thesis.degree.name Master of Science in Applied Science
thesis.degree.level Masters
thesis.degree.discipline Finance, Information Systems, & Management Science
thesis.degree.grantor Saint Mary's University (Halifax, N.S.)


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