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Cost Effective Community Based Dementia Screening: A Markov Model Simulation
Author(s) -
Erin Saito,
Beau K. Nakamoto,
Mario F. Mendez,
Bijal Mehta,
Aaron McMurtray
Publication year - 2014
Publication title -
international journal of alzheimer s disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 49
eISSN - 2090-8024
pISSN - 2090-0252
DOI - 10.1155/2014/103138
Subject(s) - dementia , markov model , algorithm , medicine , gerontology , health care , markov chain , computer science , machine learning , artificial intelligence , disease , economics , economic growth
Background . Given the dementia epidemic and the increasing cost of healthcare, there is a need to assess the economic benefit of community based dementia screening programs. Materials and Methods . Markov model simulations were generated using data obtained from a community based dementia screening program over a one-year period. The models simulated yearly costs of caring for patients based on clinical transitions beginning in pre dementia and extending for 10 years. Results . A total of 93 individuals (74 female, 19 male) were screened for dementia and 12 meeting clinical criteria for either mild cognitive impairment (n = 7) or dementia (n = 5) were identified. Assuming early therapeutic intervention beginning during the year of dementia detection, Markov model simulations demonstrated 9.8% reduction in cost of dementia care over a ten-year simulation period, primarily through increased duration in mild stages and reduced time in more costly moderate and severe stages. Discussion . Community based dementia screening can reduce healthcare costs associated with caring for demented individuals through earlier detection and treatment, resulting in proportionately reduced time in more costly advanced stages.

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