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

Author:   Jon Myron Fox
Publisher:   7000 Islands Publishing
ISBN:  

9798349659836


Pages:   398
Publication Date:   05 November 2025
Format:   Hardback
Availability:   Available To Order   Availability explained
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Assessing the Association between Pre-Employment Drug Screening and a Reduction in Workplace Accidents and Injuries


Overview

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

Full Product Details

Author:   Jon Myron Fox
Publisher:   7000 Islands Publishing
Imprint:   7000 Islands Publishing
Dimensions:   Width: 21.60cm , Height: 2.20cm , Length: 27.90cm
Weight:   1.202kg
ISBN:  

9798349659836


Pages:   398
Publication Date:   05 November 2025
Audience:   General/trade ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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