Literature DB >> 12437274

The development of a simulation model of primary prevention strategies for coronary heart disease.

Hannah Babad1, Colin Sanderson, Bhash Naidoo, Ian White, Duolao Wang.   

Abstract

This paper describes the present state of development of a discrete-event micro-simulation model for coronary heart disease prevention. The model is intended to support health policy makers in assessing the impacts on health care resources of different primary prevention strategies. For each person, a set of times to disease events, conditional on the individual's risk factor profile, is sampled from a set of probability distributions that are derived from a new analysis of the Framingham cohort study on coronary heart disease. Methods used to model changes in behavioural and physiological risk factors are discussed and a description of the simulation logic is given. The model incorporates POST (Patient Oriented Simulation Technique) simulation routines.

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Year:  2002        PMID: 12437274     DOI: 10.1023/a:1020330106374

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  12 in total

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Journal:  Health Care Manag Sci       Date:  2002-11

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Journal:  Heart       Date:  1999-07       Impact factor: 5.994

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  8 in total

1.  Health care productivity.

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Review 2.  A review of health care models for coronary heart disease interventions.

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Journal:  Health Care Manag Sci       Date:  2006-11

3.  The development of a simulation model of the treatment of coronary heart disease.

Authors:  Keith Cooper; Ruth Davies; Paul Roderick; Debbie Chase; James Raftery
Journal:  Health Care Manag Sci       Date:  2002-11

4.  A discrete-event simulation of smoking-cessation strategies based on varenicline pivotal trial data.

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Journal:  Pharmacoeconomics       Date:  2011-08       Impact factor: 4.981

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Journal:  PLoS One       Date:  2019-10-21       Impact factor: 3.240

  8 in total

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