1887
Volume 2022, Issue 5
  • ISSN: 1999-7086
  • EISSN: 1999-7094

Abstract

This study aims to understand how decision fatigue affects emergency department (ED) operations which is of paramount importance to improve patient flow through the ED and to minimize cognitive errors. It assessed admission rates and throughput metrics in relation to time into 12-hour ED shifts. It was hypothesized that there would be increased throughput and increased likelihood of admission toward the end of the shift as a result of accumulated fatigue. The retrospective cohort study assessed 9,848 patient visits to Blue Diamond (BD) and Green Valley Ranch (GVR) - two freestanding EDs - from January 1, 2020 to May 31, 2020. A chi-square analysis was performed to determine whether patients were more likely to be admitted in the first 8 hours versus the last 4 hours of the shift at the two EDs. Student’s t-tests were also performed to evaluate differences in decision-to-admit time, door-to-doctor time, throughput time, and average patients per hour. More patients were seen per hour at both BD ( < 0.0001) and GVR ( < 0.0001) during the first 8 hours. From the first 8 hours to the last 4 hours, GVR had decreased admission rates from 6.18% to 3.91% ( < 0.0001) and increased throughput time from 109.9 minutes to 114.1 minutes ( = 0.02). BD had increased door-to-doctor time from 4.86 minutes during the first 8 hours to 6.2 minutes during the last 4 hours ( < 0.0001). There was no significant difference in decision-to-admit time at BD ( = 0.6774) or GVR ( = 0.2276). Decision fatigue has a significant effect on physician decision-making in the ED. Later in a physician’s shift, as decision fatigue accumulates, decision-making is altered in such a way as to lead to less efficient patient flow. The accumulation of decision fatigue, and its subsequent effect on patient flow and patient admissions, may be more related to the patient volume than shift length.

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2022-11-15
2024-11-14
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References

  1. Allan JL, Johnston DW, Powell DJH, Farquharson B, Jones MC, Leckie G, Johnston M. Clinical decisions and time since rest break: An analysis of decision fatigue in nurses. Health Psychol. 2019 Apr;38:(4):318–324.
    [Google Scholar]
  2. Linder JA, Doctor JN, Friedberg MW, Reyes Nieva H, Birks C, Meeker D, Fox CR. Time of day and the decision to prescribe antibiotics. JAMA Intern Med. 2014 Dec;174:(12):2029–31.
    [Google Scholar]
  3. Scott LD, Rogers AE, Hwang WT, Zhang Y. Effects of critical care nurses’ work hours on vigilance and patients’ safety. Am J Crit Care. 2006;15:(1):30–37.
    [Google Scholar]
  4. Ruutiainen AT, Durand DJ, Scanlon MH, Itri JN. Increased error rates in preliminary reports issued by radiology residents working more than 10 consecutive hours overnight. Acad Radiol. 2013;20:(3):305–311.
    [Google Scholar]
  5. Persson E, Barrafrem K, Meunier A, Tinghög G. The effect of decision fatigue on surgeons’ clinical decision making. Health Econ. 2019;28:(10):1194–1203.
    [Google Scholar]
  6. Tyler PD, Fossa A, Joseph JW, Sanchez LD. Later emergency provider shift hour is associated with increased risk of admission: a retrospective cohort study. BMJ Qual Saf. 2020;29:(6):465–71.
    [Google Scholar]
  7. Zheng B, Kwok E, Taljaard M, Nemnom MJ, Stiell I. Decision fatigue in the Emergency Department: How does emergency physician decision making change over an eight-hour shift? Am J Emerg Med. 2020 Dec;38:(12):2506–10.
    [Google Scholar]
  8. Petrie C, Holschen J, Adams W, Zelisko S. 277 The Impact of Decision Fatigue on Ancillary Test Ordering in the Emergency Department. Ann Emerg Med. 2019; 74:(4):S110.
    [Google Scholar]
  9. Sabbatini AK, Nallamothu BK, Kocher KE. Reducing variation in hospital admissions from the emergency department for low-mortality conditions may produce savings. Health Aff (Millwood). 2014;33:(9):1655–63.
    [Google Scholar]
  10. Peterson SM, Harbertson CA, Scheulen JJ, Kelen GD. Trends and Characterization of Academic Emergency Department Patient Visits: A Five-year Review. Acad Emerg Med. 2019;26:(4):410–419.
    [Google Scholar]
  11. Simon EL, Griffin PL, Jouriles NJ. The impact of two freestanding emergency departments on a tertiary care center. J Emerg Med. 2012 Dec;43:(6):1127–31.
    [Google Scholar]
  12. Welch SJ, Augustine JJ, Dong L, Savitz LA, Snow G, James BC. Volume-related differences in emergency department performance. Jt Comm J Qual Patient Saf. 2012;38:(9):395–402.
    [Google Scholar]
  13. Cocker F, Joss N. Compassion Fatigue among Healthcare, Emergency and Community Service Workers: A Systematic Review. Int J Environ Res Public Health. 2016;13:(6):618. Published 2016 Jun 22.
    [Google Scholar]
  14. Hamilton S, Tran V, Jamieson J. Compassion fatigue in emergency medicine: The cost of caring. Emerg Med Australas. 2016;28:(1):100–103.
    [Google Scholar]
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