Assessing the Association between Pre-Employment Drug Screening and a Reduction in Workplace Accidents...

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Jon Myron Fox

Assessing the Association between Pre-Employment Drug Screening and a Reduction in Workplace Accidents and Injuries

Jon Myron Fox

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English

7000 Islands Publishing
05 November 2025

Risk assessment; Insurance & actuarial studies; Personnel & human resources management; Occupational & industrial health & safety

Summary
Details

The purpose of this quasi-experimental quantitative study was to expand on previous scholarly work, demonstrating enhanced workplace health and safety through a reduction of workplace accidents and injuries. The association between pre-screening employees for drug use, and accident and/or injury rates was assessed. Using two subsets of archival records, it was investigated whether or not lower workplace accident/injury rates were associated with records representing employees pre-screened for drug use, compared with records representing employees who were not pre-screened. Archive data records were randomly sampled, creating a group of 300 records representing employees pre-screened for drug use before hire, testing negative, and a comparison group of 300 records representing employees not undergoing any drug screening. Average annual accident rate for the pre-screened employees' subset (2.16%) was less than one-half the rate for the non-screened employees' subset (4.50%). A Mann-Whitney U test showed pre-screened employee accident/injury rate {Mdn = 2) differed from non-screened employees {Mdn - 2, U= 40950.0, p 0.0013, r = .13). A Kruskal-Wallis test indicated significant effect of gender (H(2) = 7.2924, p .0001), and industry sector (H(2) = 12.1231 , p - .0172) on the non-screened employee subset. A Mann-Whitney U test showed positive post-accident rates of pre-screened employees {Mdn = 99) differed from non-screened employees {Mdn = 99, U - 40864.0, p r = .13). A Kruskal- Wallis test indicated significant effect of gender (H(2) = 7.6620, p .0001), and industry sector (H(2) = 12.7233, /? = .0119) on the non-screened subset. A Pearson's Chi-Square Test for Independence revealed industry classification assignment as not independent, X,2(12, N = 600) = 109.26, p

By: Jon Myron Fox
Imprint: 7000 Islands Publishing
Dimensions: Height: 279mm, Width: 216mm, Spine: 22mm
Weight: 1.202kg
ISBN: 9798349659836
Pages: 398
Publication Date: 05 November 2025
Audience: General/trade , ELT Advanced
Format: Hardback
Publisher's Status: Active