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MODEM: A comprehensive approach to modelling outcome and costs impacts of interventions for dementia. Protocol paper.

Authors :
Comas-Herrera, Adelina
Knapp, Martin
Wittenberg, Raphael
Banerjee, Sube
Bowling, Ann
Grundy, Emily
Jagger, Carol
Farina, Nicolas
Lombard, Daniel
Lorenz, Klara
McDaid, David
MODEM Project group
Source :
BMC Health Services Research. 1/11/2017, Vol. 17, p1-8. 8p.
Publication Year :
2017

Abstract

<bold>Background: </bold>The MODEM project (A comprehensive approach to MODelling outcome and costs impacts of interventions for DEMentia) explores how changes in arrangements for the future treatment and care of people living with dementia, and support for family and other unpaid carers, could result in better outcomes and more efficient use of resources.<bold>Methods: </bold>MODEM starts with a systematic mapping of the literature on effective and (potentially) cost-effective interventions in dementia care. Those findings, as well as data from a cohort, will then be used to model the quality of life and cost impacts of making these evidence-based interventions more widely available in England over the period from now to 2040. Modelling will use a suite of models, combining microsimulation and macrosimulation methods, modelling the costs and outcomes of care, both for an individual over the life-course from the point of dementia diagnosis, and for individuals and England as a whole in a particular year. Project outputs will include an online Dementia Evidence Toolkit, making evidence summaries and a literature database available free to anyone, papers in academic journals and other written outputs, and a MODEM Legacy Model, which will enable local commissioners of services to apply the model to their own populations.<bold>Discussion: </bold>Modelling the effects of evidence-based cost-effective interventions and making this information widely available has the potential to improve the health and quality of life both of people with dementia and their carers, while ensuring that resources are used efficiently. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14726963
Volume :
17
Database :
Academic Search Index
Journal :
BMC Health Services Research
Publication Type :
Academic Journal
Accession number :
120674038
Full Text :
https://doi.org/10.1186/s12913-016-1945-x