Do Employees’ Work Schedules Put Them At-Risk? The Role of Shift Scheduling and Holidays in Predicting Near Miss and Incident Likelihood

Details

• Personal Author:
  Acikgoz Y ; Bergman SM ; Foreman AM ; Hinson PE ; Laske MM ; Ludwig TD
• Description:
  Introduction: Using crew scheduling and injury incident data from a Fortune 500 manufacturing company, this study analyzed the effect of consecutive shifts and shifts near holidays on near misses and incidents. Methods: Logistic regressions were conducted with consecutive workdays, days near holidays, and time of shift as predictors of incident and near miss outcomes. Results: The logistic regression analysis indicated that working consecutive day shifts increases the probability of an incident occurring, with the fourth consecutive shift resulting in the most risk. The consecutive shift pattern did not replicate to employees working the night shift. However, the first and second shifts when transferring to a night schedule appear to have a greater chance of incident. Shifts near holidays did not have a significantly higher risk than other shifts. Practical application: The current research suggests that organizations can use similar analytic techniques to determine if shift scheduling might be related to increased risk and allocate resources to mitigate hazards during those peak probability shifts. [Description provided by NIOSH]
• Subjects:
  Manufacturing And Industrial Facilities Occupational Health Safety Shift Work Schedule
• Keywords:
  Author Keywords: Shift-schedule Consecutive Shifts Employees Holiday Schedule Injuries Injury Prediction Manufacturing Near Miss Prediction Regression Analysis Shift Work Shift Workers Work Schedules

  More +
• ISSN:
  0022-4375
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  Kansas ; North Carolina ; OSHA Region 3 ; OSHA Region 4 ; OSHA Region 7 ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  RHD - Respiratory Health Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  1-7
• Volume:
  83
• NIOSHTIC Number:
  nn:20066028
• Citation:
  J Safety Res 2022 Dec; 83:1-7
• Email:
  acikgozy@appstate.edu
• Federal Fiscal Year:
  2023
• Peer Reviewed:
  True
• Source Full Name:
  Journal of Safety Research
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:c767246d39994782fc858a13390add7a7dc893ef117cec28523af05461700e7c8f544cd10f2e959d8f4a47d9c31ddc1bca3c1c154cd72da89e87896226e5533c
• Download URL:
  https://stacks.cdc.gov/view/cdc/209113/cdc_209113_DS1.pdf
• File Type:
  [PDF - 284.71 KB ]