title: Analysis of the cost effectiveness of a suicide barrier on the Golden Gate Bridge.
abstract: BACKGROUND
  The Golden Gate Bridge (GGB) is a well-known "suicide magnet" and the site of approximately 30 suicides per year. Recently, a suicide barrier was approved to prevent further suicides.
  
  
  OBJECTIVE
  To estimate the cost-effectiveness of the proposed suicide barrier, we compared the proposed costs of the barrier over a 20-year period ($51.6 million) to estimated reductions in mortality.
  
  
  METHODS
  We reviewed San Francisco and Golden Gate Bridge suicides over a 70-year period (1936-2006). We assumed that all suicides prevented by the barrier would attempt suicide with alternative methods and estimated the mortality reduction based on the difference in lethality between GGB jumps and other suicide methods. Cost/benefit analyses utilized estimates of value of statistical life (VSL) used in highway projects.
  
  
  RESULTS
  GGB suicides occur at a rate of approximately 30 per year, with a lethality of 98%. Jumping from other structures has an average lethality of 47%. Assuming that unsuccessful suicides eventually committed suicide at previously reported (12-13%) rates, approximately 286 lives would be saved over a 20-year period at an average cost/life of approximately $180,419 i.e., roughly 6% of US Department of Transportation minimal VSL estimate ($3.2 million).
  
  
  CONCLUSIONS
  Cost-benefit analysis suggests that a suicide barrier on the GGB would result in a highly cost-effective reduction in suicide mortality in the San Francisco Bay Area.
authors.affiliation: Human Cognitive Neurophysiology Research Laboratory, VA Northern California Healthcare Outpatient Clinic, Martinez, CA 94553, USA. dayna.whitmer@va.gov
authors.forename: Dayna
authors.initials: D
authors.lastname: Atkins Whitmer
authors.forename: David Lauren
authors.initials: DL
authors.lastname: Woods
mesh_terms: D001107:Architectural Accessibility / Q000191:economics*; D002423:Cause of Death; D003362:Cost-Benefit Analysis / Q000191:economics; D003430:Cross-Sectional Studies; D004779:Environment Design; D006801:Humans; D012495:San Francisco; D013405:Suicide / Q000191:economics* / Q000706:statistics & numerical data; D014186:Transportation / Q000191:economics*; D000092864:Suicide Prevention