Targeted screening for cardiovascular risk for all adults between 40-74 years

Mundy L, Hiller JE
Record ID 32011000613
Authors' recommendations: Universal screening for cardiovascular disease will identify most of the population at risk of developing CVD, with the potential for saving lives and for down-stream financial gains for the health system with the associated decrease in morbidity related to CVD. However, modelling of different strategies with a more targeted approach may identify almost as many at-risk individuals but at a reduced overall cost to the health system. Exactly which strategy is the most appropriate to employ requires further assessment. Before embarking on any cardiovascular disease screening program a full economic analysis should be conducted to ensure the appropriate population is targeted to maximise cost-effectiveness. It is unclear how the results of the United Kingdom screening program for cardiovascular risk would translate to the Australian setting. Before such a program could be feasible in Australia a model of care would need to be established, and the current Australasian primary care environment would also need to be considered. This summary should be referred to the National Screening Committee and HealthPACT does not intend to further review this technology.
Project Status: Completed
Year Published: 2010
URL for published report: Not Available
English language abstract: An English language summary is available
Publication Type: Not Assigned
Country: Australia
MeSH Terms
  • Aged
  • Mass Screening
  • Middle Aged
  • Risk Factors
Organisation Name: Adelaide Health Technology Assessment
Contact Address: School of Public Health, Mail Drop 545, University of Adelaide, Adelaide SA 5005, AUSTRALIA, Tel: +61 8 8313 4617
Contact Name:
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Copyright: Adelaide Health Technology Assessment (AHTA)
This is a bibliographic record of a published health technology assessment from a member of INAHTA or other HTA producer. No evaluation of the quality of this assessment has been made for the HTA database.