| Medical Cost Trajectories and Onsets of Cancer and NonCancer Diseases in US Elderly Population. | |
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MedLine Citation:
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PMID: 21687557 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Time trajectories of medical costs-associated with onset of twelve aging-related cancer and chronic noncancer diseases were analyzed using the National Long-Term Care Survey data linked to Medicare Service Use files. A special procedure for selecting individuals with onset of each disease was developed and used for identification of the date at disease onset. Medical cost trajectories were found to be represented by a parametric model with four easily interpretable parameters reflecting: (i) prediagnosis cost (associated with initial comorbidity), (ii) cost of the disease onset, (iii) population recovery representing reduction of the medical expenses associated with a disease since diagnosis was made, and (iv) acquired comorbidity representing the difference between post- and pre diagnosis medical cost levels. These parameters were evaluated for the entire US population as well as for the subpopulation conditional on age, disability and comorbidity states, and survival (2.5 years after the date of onset). The developed approach results in a family of new forecasting models with covariates. |
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Authors:
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Igor Akushevich; Julia Kravchenko; Lucy Akushevich; Svetlana Ukraintseva; Konstantin Arbeev; Anatoliy I Yashin |
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Publication Detail:
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Type: Journal Article Date: 2011-06-01 |
Journal Detail:
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Title: Computational and mathematical methods in medicine Volume: 2011 ISSN: 1748-6718 ISO Abbreviation: Comput Math Methods Med Publication Date: 2011 |
Date Detail:
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Created Date: 2011-06-20 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101277751 Medline TA: Comput Math Methods Med Country: United States |
Other Details:
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Languages: eng Pagination: 857892 Citation Subset: IM |
Affiliation:
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Center for Population Health and Aging, Duke University, Durham, NC 27708, USA. |
Export Citation:
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Descriptor/Qualifier:
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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