1 / 13

Lee Di Milia; PhD Drive-in drive-out workforce: Extent and implications .

Lee Di Milia; PhD Drive-in drive-out workforce: Extent and implications. Overview: On-shift safety is critical but . . . Safety is more than on-shift Funding to examine driving and SW: Why? Number of risk factors Shiftwork + Time-of-day + Task Growth in 12h & relocation effect.

bulloch
Download Presentation

Lee Di Milia; PhD Drive-in drive-out workforce: Extent and implications .

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Lee Di Milia; PhD Drive-in drive-out workforce: Extent and implications.

  2. Overview: • On-shift safety is critical but . . . • Safety is more than on-shift • Funding to examine driving and SW: Why? • Number of risk factors • Shiftwork + Time-of-day + Task • Growth in 12h & relocation effect

  3. Risk Factors: • Shiftwork • Human biology is diurnal & hard-wired; Eg: body temp; cortisol; melatonin; mood & performance • SW disrupts synchrony & pacemaker is inflexible  conflicting messages •  sleep drive but  cortisol & body temp

  4. Health impacts of SW: • Physiological; Psychological; Social • Sleep after NS  2-4h less than day • Mood; Impaired performance •  RT;  attention lapses • Self paced work (Smith, 1994) • Fatigue & sleepiness

  5. 2: Time of day:

  6. 3: Driving task: • Monotonous • ‘Boring’ environment • Unforgiving roads • Summary: Sleep loss + TOD + Task • Driving – sensitive to sleep loss & bio demands

  7. Evidence to date: • Long hours & driving do not mix • Medical students; manufacturing • SW + 12h  risk of fall asleep compared to DW • < 6h sleep:  driving impairment •  attention lapses, lane drift • No studies of LDD & SW

  8. Study: • Surveyed 1600 drivers; Capricorn & Peak Downs H’way • Between 08 – 10 • Some 21% of traffic flow • Work, travel and fatigue

  9. Results: • Two excluded for BAC ≥ 0.05 • 12% SW; Miners = 93% • 30% 4x12h NS; 29% 2x12 NS (Range = 1–14) • One-way travel 211 km (max 655 km) • 19 drivers between shifts – 581km • One driver; left at 02:00 to drive 1300

  10. Results: • ≥ 7; SW = 19%; NSW = 1%

  11. Results: • 13% fell asleep driving to DS • 23% fell asleep driving from NS • Fall asleep linked with lane drifting • Linked to <6h sleep • Return travel – bi modal

  12. Discussion: • Long distances driven post NS • Some indicators of increased accident risk but none reported!! • Simulator studies show ≥7 with increased accidents • Seems that shift schedule drives travel pattern • Expect DIDOW estimate to be higher?

  13. Solutions: • Education • Sleep facility • Modify schedule design • Transport arrangements

More Related