| Outcome based state budget allocation for diabetes prevention programs using multi-criteria optimization with robust weights. | |
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MedLine Citation:
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PMID: 21674143 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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We consider the problem of outcomes based budget allocations to chronic disease prevention programs across the United States (US) to achieve greater geographical healthcare equity. We use Diabetes Prevention and Control Programs (DPCP) by the Center for Disease Control and Prevention (CDC) as an example. We present a multi-criteria robust weighted sum model for such multi-criteria decision making in a group decision setting. The principal component analysis and an inverse linear programming techniques are presented and used to study the actual 2009 budget allocation by CDC. Our results show that the CDC budget allocation process for the DPCPs is not likely model based. In our empirical study, the relative weights for different prevalence and comorbidity factors and the corresponding budgets obtained under different weight regions are discussed. Parametric analysis suggests that money should be allocated to states to promote diabetes education and to increase patient-healthcare provider interactions to reduce disparity across the US. |
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Authors:
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Sanjay Mehrotra; Kibaek Kim |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-6-15 |
Journal Detail:
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Title: Health care management science Volume: - ISSN: 1386-9620 ISO Abbreviation: - Publication Date: 2011 Jun |
Date Detail:
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Created Date: 2011-6-15 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9815649 Medline TA: Health Care Manag Sci Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Industrial Engineering and Management Science, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA, mehrotra@iems.northwestern.edu. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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