1,774
Views
1
CrossRef citations to date
0
Altmetric
Closing Editorials

Evidence-Based Guidelines for Fatigue Risk Management in Emergency Medical Services: A Significant Step Forward and a Model for Other High-Risk Industries

Pages 110-112 | Received 01 Aug 2017, Accepted 11 Sep 2017, Published online: 11 Jan 2018

In 24/7 operations, including Emergency Medical Services (EMS) and a wide variety of other industries, fatigue is unavoidable. The primary reason is that night and shift work schedules, which are needed for such operations, cause misalignment of the timing of wake and work periods with respect to biological processes that promote wakefulness and alertness during the day and sleep at night Citation(1). People involved in shift work (whether through night, early morning, split, or rotating shifts) therefore experience sleep restriction, typically to less than 6 hours of sleep per day, as well as increased levels of sleepiness and fatigue while on shift Citation(2).

This situation puts the schedules found in around-the-clock operations at odds with guidelines from sleep and health scientists, who recommend at least 7 hours of sleep, per night, with regularity Citation(3). While these guidelines serve to promote safety, health, and well-being for the general public, they provide minimal guidance for 24/7 operations—and may even discourage shift workers from obtaining catch-up sleep when needed, despite evidence of beneficial effects thereof Citation(4,5). As such, in many operational settings, fatigue is taken for granted, regarded simply as a cost of doing business around the clock. But the productivity, safety, and health consequences of fatigue are substantial and involve a significant economic burden to society Citation(6,7).

In EMS operations, fatigue is a threat to safety for both personnel and patients Citation(8). Fatigue-related risks to safety in EMS stem primarily from the increased probability of motor vehicle accidents associated with fatigued drivers Citation(9) and the increased likelihood of medical errors associated with fatigued health care providers Citation(10). Managing fatigue risks in EMS, therefore, is of considerable importance, just as in other high-risk settings such as aviation Citation(11), railroad transportation Citation(12), and maritime operations Citation(13). News stories of EMS personnel falling asleep at the wheel, crashing ambulances and killing patients Citation(14–17), underline the urgency of addressing fatigue risks in EMS operations.

Best practices for fatigue risk management are a topic of ongoing research Citation(18–20). In U.S. commercial motor vehicle driving and various other transportation, energy production, and manufacturing industries, federal hours-of-service regulations are the prevailing method for curbing fatigue risks, even though this approach is known to be suboptimal outside of normal daytime work hours Citation(21). In contrast, in U.S. commercial aviation, advanced systems for fatigue risk management involving predictive, proactive, and reactive mitigation of fatigue risks have been implemented Citation(22). In the military, efforts have focused on measuring and prioritizing sleep Citation(23) and predicting fatigue using mathematical models Citation(24). In air traffic control Citation(25), hospitals Citation(26), and assorted other settings with extended work hours Citation(27), the benefits and feasibility of workplace napping have been widely debated; implementation of this fatigue countermeasure remains sporadic. Additionally, in various other industries, a diversity of policy-based and informal approaches to fatigue proofing can be found Citation(28–30). These fatigue risk management strategies tend to be highly industry-specific, vary widely in their operational effectiveness, and often lack published evidence.

Faced with the paucity of previously developed, suitable options, Patterson and colleagues set out to develop an evidence base for fatigue risk management in EMS. In a comprehensive set of journal articles Citation(31–38), they presented the results of a painstaking effort to systematically review the available literature pertaining to specific research questions, framed in the Population, Intervention, Comparison, Outcome (PICO) framework by an expert panel Citation(39). The expert panel reviewed summaries of the evidence drawn from the literature using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology. The GRADE methodology was particularly suitable for this effort as it allowed the expert panel to formulate recommendations based on published evidence evaluated within the context of EMS operations. They were thus able to formulate recommendations that are not only supported by science but can also be plausibly implemented in the EMS setting Citation(40).

The evidence-based guidelines for EMS operations provided by Patterson and colleagues Citation(40) appear to be the first, for any 24/7 industry, that are based on systematic review of the literature. These guidelines are also grounded in EMS experience and common sense, readily actionable, and achievable while maintaining operational integrity and productivity. Although implementation of the recommendations will not counteract the risks associated with fatigue completely — as such risks are inevitable in around-the-clock operations — we may expect to see a marked improvement over the status quo.

The evidence-based approach to the development of fatigue risk management strategies presented by Patterson and colleagues Citation(40) will need to be assessed and validated in practice. To this end, the research team also provided evidence-based performance measures Citation(41) which can be used to evaluate the effectiveness of the evidence-based guidelines. It should be recognized that improvements may still be possible, either because the recommendations are not yet formulated optimally, or because their effectiveness leads to systematic changes in EMS that then create new opportunities for further fatigue risk mitigation. Such contingencies are formally recognized in fatigue risk management systems currently in use in commercial aviation, which have embedded procedures for continuous system evaluation and improvement. The availability of evidence-based performance measures Citation(41) provides a stepping-stone for the development of similar procedures for EMS operations.

In conclusion, the work by Patterson and colleagues for the EMS industry represents a meaningful step toward improving the safety of personnel, patients, and the public at large. It may also serve as a blueprint for how other high-risk industries may go about developing their own evidence-based guidelines for fatigue risk management.

References

  • James SM, Honn KA, Gaddameedhi S, Van Dongen HPA. Shift work: disrupted circadian rhythms and sleep – implications for health and well-being. Curr Sleep Med Rep. 2017;3(2):104–12. doi:10.1007/s40675-017-0071-6.
  • Åkerstedt T. Shift work and disturbed sleep/wakefulness. Occup Med. 2003;53(2):89–94. doi:10.1093/occmed/kqg046.
  • Watson NF, Badr MS, Belenky G, Bliwise DL, Buxton OM, Buysse D, et al. Recommended amount of sleep for a healthy adult: A joint consensus statement of the American Academy of Sleep Medicine and Sleep Research Society. Sleep. 2015;38(6):843–4. PMID:26039963.
  • Pejovic S, Basta M, Vgontzas AN, Kritikou I, Shaffer ML, Tsaoussoglou M, Stiffler D, Stefanakis Z, Bixler EO, Chrousos GP. Effects of recovery sleep after one work week of mild sleep restriction on interleukin-6 and cortisol secretion and daytime sleepiness and performance. Am J Physiol Endocrinol Metab. 2013;305(7):E890–6. doi:10.1152/ajpendo.00301.2013. PMID:23941878.
  • Killick R, Hoyos CM, Melehan KL, Dungan GC 2nd, Poh J, Liu PY. Metabolic and hormonal effects of ‘catch-up’ sleep in men with chronic, repetitive, lifestyle-driven sleep restriction. Clin Endocrinol (Oxf). 2015;83(4):498–507. doi:10.1111/cen.12747. PMID:25683266.
  • Rosekind MR, Gregory KB, Mallis MM, Brandt SL, Seal B, Lerner D. The cost of poor sleep: workplace productivity loss and associated costs. J Occup Environ Med. 2010;52(1):91–98. doi:10.1097/JOM.0b013e3181c78c30. PMID:20042880.
  • Hillman DR, Lack LC. Public health implications of sleep loss: the community burden. Med J Aust. 2013;199(8):S7–10. doi:10.5694/mja13.10620. PMID:24138358.
  • Patterson PD, Weaver MD, Frank RC, Warner CW, Martin-Gill C, Guyette FX, et al. Association between poor sleep, fatigue, and safety outcomes in emergency medical services providers. Prehosp Emerg Care. 2012;16(1):86–97. doi:10.3109/10903127.2011.616261. PMID:22023164.
  • Higgins JS, Michael J, Austin R, Åkerstedt T, Van Dongen HPA, Watson N, Czeisler C, Pack AI, Rosekind MR. Asleep at the wheel – the road to addressing drowsy driving. Sleep. 2017;40(2):zsx001. doi:10.1093/sleep/zsx001. PMID:28364516
  • Lockley SW, Barger LK, Ayas NT, Rothschild JM, Czeisler CA, Landrigan CP, for the Harvard Work Hours, Health and Safety Group. Effects of health care provider work hours and sleep deprivation on safety and performance. Jt Comm J Qual Patient Saf. 2007;33(11 Suppl):7–18. doi:10.1016/S1553-7250(07)33109-7. PMID:18173162.
  • Rosekind MR, Gregory KB, Mallis MM. Alertness management in aviation operations: enhancing performance and sleep. Aviat Space Environ Med. 2006;77(12):1256–65. doi:10.3357/ASEM.1879.2006. PMID:17183922.
  • Raslear TG, Hursh SR, Van Dongen HPA. Predicting cognitive impairment and accident risk. Prog Brain Res. 2011;190:155–67. doi:10.1016/B978-0-444-53817-8.00010-4. PMID:21531251.
  • Allen P, Wadsworth E, Smith A. The prevention and management of seafarers' fatigue: a review. Int Marit Health. 2007;58(1-4):167–77. PMID:18350986.
  • Williams S. Sherrif. Driver in fatal Duanesburg ambulance crash fell asleep. June 2, 2017 [cited 2017 Jul 31]. Available from: https://dailygazette.com/article/2017/06/02/sheriff-driver-in-fatal-ambulance-crash-fell-asleep.
  • Staff (northwestgeorgianews.com). Ambulance wreck on Martha Berry Highway leaves 1 dead. June 16, 2017 [cited 2017 Jul 31]. Available from: http://www.northwestgeorgianews.com/rome/news/police_fire/ambulance-wreck-on-martha-berry-highway-leaves-dead/article_f493d010-5297-11e7-b585-8727e42016fc.html.
  • Staff (wabi.tv). Ambulance totaled when driver falls asleep. July 12, 2017. [cited 2017 Jul 31]. Available from: http://www.wabi.tv/content/news/Ambulance-Totaled-When-Driver-Falls-Asleep–434119043.html.
  • Staff (wmtw.com). Sleepy driver leads to second ambulance crash in one week, police say. July 14, 2017. [cited 2017 Jul 31]. Available from: http://www.wmtw.com/article/sleepy-driver-leads-to-second-ambulance-crash-in-one-week/10307571.
  • Dawson D, McCulloch K. Managing fatigue: it's about sleep. Sleep Med Rev. 2005;9(5):365–80. doi:10.1016/j.smrv.2005.03.002. PMID:16099184.
  • Gander P, Hartley L, Powell D, Cabon P, Hitchcock E, Mills A, Popkin S. Fatigue risk management: organizational factors at the regulatory and industry/company level. Accid Anal Prev. 2011;43(2):573–90. doi:10.1016/j.aap.2009.11.007. PMID:21130218.
  • Satterfield BC, Van Dongen HPA. Occupational fatigue, underlying sleep and circadian mechanisms, and approaches to fatigue risk management. Fatigue Biomed Health Behav. 2013;1(3):118–36. doi:10.1080/21641846.2013.798923.
  • Van Dongen HPA, Belenky G. Model-based fatigue risk management. In: Matthews G, Desmond PA, Neubauer C, Hancock PA, editors. The handbook of operator fatigue. Farnham (UK): Ashgate; 2012. p. 487–506.
  • Rangan S, Bowman JL, Hauser WJ, McDonald WW, Lewis RA, Van Dongen HPA. Integrated fatigue modeling in crew rostering and operations. Canadian Aeron Space J. 2013;59(01):1–6. doi:10.5589/q13-001.
  • Wesensten NJ, Balkin TJ. The challenge of sleep management in military operations. US Army Med Dep J. 2013(Oct-Dec):109–18. PMID:24146248.
  • Hursh SR, Balkin TJ, Van Dongen HPA. Sleep and performance prediction modeling. In Kryger MH, Roth T, Dement WC, editors. Principles and practice of sleep medicine. 6th ed. Philadelphia (PA): Elsevier; 2016, p. 689–96.
  • Signal TL, Gander PH, Anderson H, Brash S. Scheduled napping as a countermeasure to sleepiness in air traffic controllers. J Sleep Res. 2009;18(1):11–9. doi:10.1111/j.1365-2869.2008.00702.x. PMID:19250171.
  • Fallis WM, McMillan DE, Edwards MP. Napping during night shift: practices, preferences, and perceptions of critical care and emergency department nurses. Crit Care Nurse. 2011;31(2):e1–11. doi:10.4037/ccn2011710. PMID:21459861.
  • Caldwell JA, Caldwell JL, Schmidt RM. Alertness management strategies for operational contexts. Sleep Med Rev. 2008;12(4):257–73. doi:10.1016/j.smrv.2008.01.002. PMID:18359253.
  • Jackson JE, Sanquist T, Campbell J, Lee EB, Van Dongen HPA. Fatigue in highway construction workers: risks and countermeasures in rapid renewal project schedules. Transp Res Rec. 2013;2347:11–8. doi:10.3141/2347-02.
  • Dawson D, Mayger K, Thomas MJ, Thompson K. Fatigue risk management by volunteer fire-fighters: use of informal strategies to augment formal policy. Accid Anal Prev. 2015;84:92–8. doi:10.1016/j.aap.2015.06.008. PMID:26322733.
  • Dawson D, Cleggett C, Thompson K, Thomas MJ. Fatigue proofing: the role of protective behaviours in mediating fatigue-related risk in a defence aviation environment. Accid Anal Prev. 2017;99(Pt B):465–8. doi:10.1016/j.aap.2015.10.011. PMID:26555252.
  • Patterson PD, Higgins JS, Weiss PM, Lang ES, Martin-Gill C. Systematic review methodology for the fatigue in Emergency Medical Services Project. Prehosp Emerg Care. 2018; 22(S1)9–16
  • Patterson PD, Weaver MD, Fabio A, Teasley EM, Renn ML, Curtis BR, et al. Reliability and validity of survey instruments to measure work-related fatigue in the Emergency Medical Services setting: a systematic review. Prehosp Emerg Care. 2018; 22(S1)17–27
  • Patterson PD, Runyon MS, Higgins JS, Weaver MD, Teasley EM, Kroemer AJ, et al. Shorter versus longer shift duration to mitigate fatigue and fatigue related risks in Emergency Medical Services: a systematic review. Prehosp Emerg Care. 2018; 22(S1)28–36.
  • Temple JL, Hostler D, Martin-Gill C, Moore CG, Weiss PM, Sequeira DJ, Condle JP, Lang ES, Higgins JS, Patterson PD. A systematic review and meta-analysis of the effects of caffeine in fatigued shift workers: implications for Emergency Medical Services personnel. Prehosp Emerg Care. 2018; 22(S1)37–46
  • Martin-Gill C, Barger LK, Moore CG, Higgins JS, Teasley EM, Weiss PM, et al. Effects of napping during work on sleepiness and performance in Emergency Medical Services personnel and similar shift workers: a systematic review and meta-analysis. Prehosp Emerg Care. 2018; 22(S1)47–57
  • Barger LK, Runyon MS, Renn ML, Moore CG, Weiss PM, Condle JP, et al. Effect of fatigue training on safety, fatigue, and sleep in Emergency Medical Services personnel and other shift workers: a systematic review and meta-analysis. Prehosp Emerg Care. 2018; 22(S1)58–67
  • James FO, Waggoner LB, Weiss PM, Patterson PD, Higgins JS, Lang ES, Van Dongen HPA. Does implementation of biomathematical models mitigate fatigue and fatigue related risks in Emergency Medical Services operations? A systematic review. Prehosp Emerg Care. 2018; 22(S1)68–80
  • Studnek JR, Infinger A, Renn ML, Weiss PM, Condle JP, Flickinger KL, et al. Effect of task load interventions on fatigue in Emergency Medical Services personnel and other shift workers: a systematic review. Prehosp Emerg Care. 2018; 22(S1)81–88
  • Patterson PD, Higgins JS, Lang ES, Runyon MS, Barger LK, Studnek JR, et al. Evidence-based guidelines for fatigue risk management in EMS: formulating research questions and selecting outcomes. Prehosp Emerg Care. 2017;21(2):149–56. doi:10.1080/10903127.2016.1241329. PMID:27858581.
  • Patterson PD, Higgins JS, Van Dongen HPA, Buysse DJ, Thackery RW, Kupas DF, et al. Evidence-based guidelines for fatigue risk management in Emergency Medical Services. Prehosp Emerg Care. 2018; 22(S1)89–101
  • Martin-Gill C, Higgins JS, Van Dongen HPA, Buysse DJ, Thackery RW, Kupas DF, et al. Proposed performance measures and strategies for implementation of the Fatigue Risk Management Guidelines for Emergency Medical Services. Prehosp Emerg Care. 2018; 22(S1)102–109

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.