title: Resource implications and health benefits of primary prevention strategies for cardiovascular disease in people aged 30 to 74: mathematical modelling study.
abstract: OBJECTIVE
  To develop a model to determine resource costs and health benefits of implementing guidelines for the prevention of cardiovascular disease in primary care.
  
  
  METHODS
  Modelling of data from six strategies for prevention of cardiovascular disease. Strategies incorporated two ways of identifying patients for assessment: traditional (assessment of all adults) and novel (preselection of patients for assessment using a prior estimate of their risk of cardiovascular disease). Three treatment strategies were modelled in conjunction with each identification strategy.
  
  
  METHODS
  England.
  
  
  METHODS
  Patients aged 30 to 74 eligible for primary prevention strategies for cardiovascular disease who were selected from a hypothetical population of 2000.
  
  
  METHODS
  Resource costs of assessing eligible adults, providing treatment and follow up to those eligible, and number of cardiovascular events this should prevent.
  
  
  RESULTS
  Novel strategies prevented more cardiovascular disease, at lower cost, than traditional strategies. Some treatment strategies prevent more cardiovascular disease with fewer resources than others. The findings were robust across a range of different assumptions about workload.
  
  
  CONCLUSIONS
  Preselecting patients for assessment makes better use of staff time than assessing all adults. Treating many patients with low cost drugs is more efficient than prescribing a few patients intensive antihypertensives and statins. Authors of guidelines should model workload implications and health benefits of following their recommendations.
authors.affiliation: Public Health and Epidemiology, University of Birmingham, Birmingham B15 2TT. T.P.Marshall@bham.ac.uk
authors.forename: Tom
authors.initials: T
authors.lastname: Marshall
authors.forename: Andrew
authors.initials: A
authors.lastname: Rouse
mesh_terms: D000328:Adult; D000368:Aged; D002318:Cardiovascular Diseases / Q000191:economics* / Q000209:etiology / Q000517:prevention & control*; D003198:Computer Simulation; D003362:Cost-Benefit Analysis; D004739:England; D017048:Health Care Costs; D006801:Humans; D008875:Middle Aged; D017059:Models, Econometric; D018579:Patient Selection; D011320:Primary Health Care / Q000191:economics; D011322:Primary Prevention / Q000191:economics*; D018570:Risk Assessment; D012680:Sensitivity and Specificity; D016896:Treatment Outcome; D016526:Workload