Pilot fatigue has been identified as a determinative factor in various safety events, leading to the introduction of Fatigue Risk Management regulations and standards worldwide. The scope of this study was to examine whether event and pilot characteristics recorded in safety investigation reports were associated with fatigue when the latter was stated as a contributing/causal factor. The sample consisted of 296 reports published by various investigation authorities and referred to safety events occurred between 1990 and 2014. The researchers conducted frequency analyses and Chi-square / Fisher Exact tests as a means to examine possible associations. Flight crew fatigue was found as a cause in 8.8% of the reports and was more frequently present in occurrences during evening and night operations, take-off, climbing, approach and landing phases, and Control Flight into Terrain and Runway Excursion eventualities. No significant differences were found regarding the year of occurrence, aircraft age, weight and type (jet, propeller, rotary), flight type (Commercial Air Transport and other), operation type (passenger and non-passenger) and event severity. Regarding the pilot characteristics, the more the hours on duty the higher the frequency of events where fatigue was recognised as a factor. No association was detected between the frequency of fatigue related events and pilots’ age, hours of experience in the respective aircraft type and in total, and, surprisingly, regarding sleeping and resting hours before reporting for duty. The findings only partially confirmed associations of fatigue with the operational, event, aircraft and flight crew characteristics included in this study, and showed that fatigue had contributed to (serious) incidents and accidents with about the same frequency. The results suggest a consideration of quality of flight crew sleep/rest before reporting on duty.
DOCUMENT
Purpose: To study the association between fatigue and participation and QoL after acquired brain injury (ABI) in adolescents and young adults (AYAs). Materials & Methods: Cross-sectional study with AYAs aged 14–25 years, diagnosed with ABI. The PedsQL™ Multidimensional Fatigue Scale, Child & Adolescent Scale of Participation, and PedsQL™4.0 Generic Core Scales were administered. Results: Sixty-four AYAs participated in the study, 47 with traumatic brain injury (TBI). Median age at admission was 17.6 yrs, 0.8 yrs since injury. High levels of fatigue (median 44.4 (IQR 34.7, 59.7)), limited participation (median 82.5 (IQR 68.8, 92.3)), and diminished QoL (median 63.0 (IQR 47.8, 78.3)) were reported. More fatigue was significantly associated with more participation restrictions (β 0.64, 95%CI 0.44, 0.85) and diminished QoL (β 0.87, 95%CI 0.72, 1.02). Conclusions: AYAs with ABI reported high levels of fatigue, limited participation and diminished quality of life with a significant association between fatigue and both participation and QoL. Targeting fatigue in rehabilitation treatment could potentially improve participation and QoL.
MULTIFILE
Sleep quality and maintenance of the optimal cognitive functioning is of crucial importance for aviation safety. Fatigue Risk Management (FRM) enables the operator to achieve the objectives set in their safety and FRM policies. As in any other risk management cycle, the FRM value can be realized by deploying suitable tools that aid robust decision-making. For the purposes of our article, we focus on fatigue hazard identification to explore the possible developments forward through the enhancement of objective tools in air transport operators. To this end we compare subjective and objective tools that could be employed by an FRM system. Specifically, we focus on an exploratory survey on 120 pilots and the analysis of 250 fatigue reports that are compared with objective fatigue assessment based on the polysomnographic (PSG) and neurocognitive assessment of three experimental cases. We highlight the significance of predictive objective tools that should be deployed by contemporary FRM models. We also report the need for utilization of scientific-based tools for predictive FRM, in which objective sleep quality and neurocognitive assessment should be the core aspect. We note the period of restructuring ahead as an opportunity for operators to rethink and restructure their FRM.
DOCUMENT
