Standing Medical Advisory Committee (SMAC) guidance for prevention of coronary heart disease (CHD) and the National Service Framework – Coronary Heart Disease both require the identification of patients at high risk of CHD for targeted treatment with statins. Since the best method of identifying these patients is unknown, we compared population screening with opportunistic case finding in a discrete event computer simulation model of the population aged 45‐64 in one local health group in Wales. The main outcome measures were numbers of CHD and all‐cause deaths and extra patient‐years of drug treatment. Screening and case finding were of similar effectiveness in identifying high risk individuals to prevent CHD and all‐cause mortality during the five years simulated. The extra patient‐years of drug treatment required by a population screening programme suggests that screening would not be cost effective. Concludes that opportunistic case finding is the method of choice in primary care.
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1 March 2002
This article was originally published in
British Journal of Clinical Governance
Review Article|
March 01 2002
Implementing national guidance on prevention of coronary heart disease: clinical governance and computer simulation modelling
J. Mark F. Temple;
J. Mark F. Temple
J. Mark F. Temple is Consultant in Public Health Medicine, Department of Public Health, Bro Taf Health Authority, Cardiff, UK.
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D.L. Fone
D.L. Fone
D.L. Fone is Consultant in Public Health Medicine, Department of Public Health, Policy and Planning, Gwent Health Authority, Pontypool, Gwent, UK and Honorary Senior Lecturer, University of Wales College of Medicine, Cardiff, UK.
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Publisher: Emerald Publishing
Online ISSN: 1466-4119
Print ISSN: 1466-4100
© MCB UP Limited
2002
British Journal of Clinical Governance (2002) 7 (1): 27–33.
Citation
Temple JMF, Fone D (2002), "Implementing national guidance on prevention of coronary heart disease: clinical governance and computer simulation modelling". British Journal of Clinical Governance, Vol. 7 No. 1 pp. 27–33, doi: https://doi.org/10.1108/14664100210418002
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