Objective: This study provides a cost-benefit analysis of preemployment drug screening and evaluates the sensitivity of this analysis to variation in its underlying assumptions.
Design: Cost-benefit analysis, based on a cohort analytic study previously reported.
Setting: Employees of the US Postal Service in Boston, Mass.
Participants: Estimates of costs and benefit are based on a cohort of 2533 postal workers in Boston and on average costs for the Postal Service in Boston and nationwide.
Results: Drug screening would have saved the Postal Service $162 per applicant hired. However, these results were sensitive to the assumptions in the model. If the prevalence of drug use in the population screened were 1% rather than 12%, the program would lose money. Similarly, if the cost per urine sample screened were $95 rather than the $49 assumed, then the program would lose money, even if the prevalence of drug positives was as high as 9%.
Conclusions: Because of the sensitivity of this analysis to changes in its underlying assumptions, any company considering preemployment drug screening should carefully weigh the costs and benefits in its own industry.