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Optimization of Alarms: A Study on Alarm Limits, Alarm Sounds, and False Alarms, Intended to Reduce Annoyance

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Abstract

Alarms in the operating room remain a major source of annoyance and confusion. Nearly all alarms result from a transgression of certain alarm limits. We surveyed manufacturers at a major meeting of anesthesiologists for their default alarm limits. We also conducted a mail survey of anesthesiologists in the United States, Finland, and the Netherlands, to learn their chosen alarm limits, reasons for turning off the alarms, and estimates of the number of false alarms. The surveys of medical monitoring manufacturers demonstrated a wide variety of default alarm settings. Anesthesiologists' chosen alarm limits tended to parallel the manufacturers' defaults. Fewer than 30% of anesthesiologists stated that they did not turn off the alarms. The leading reason for turning off alarms was the large number of false alarms. Estimates of the number of false alarms varied from 30% to 76%. The desired role of alarms in anesthetic practice and some suggestions for the general improvement of alarms are discussed.

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REFERENCES

  1. Samuels SI. An alarming problem (letter). Anesthesiology 1986; 64: 128

    Google Scholar 

  2. Schmidt SI, Baysinger CL. Alarms: Help or hindrance? (letter). Anesthesiology 1986; 64: 654-655

    Google Scholar 

  3. McIntyre JWR. Ergonomics: Anaesthetists' use of audi-tory alarms in the operating room. Intl J Clin Monit and Comput 1985; 2: 47 55

    Google Scholar 

  4. Ray AA, Sall JP, Sa¡er M. Statistics, SAS User's Guide. Cary, North Carolina: SAS Institute Inc. 1982

    Google Scholar 

  5. Allen A, Counsil KA, Sall JP. Basics, SAS User's Guide. Cary, North Carolina: SAS Institute Inc. 1982

    Google Scholar 

  6. Casella G, Berger RL. Statistical Inference. Belmont, CA: Wadsworth Inc. 1990; 396

    Google Scholar 

  7. Montgomery DC. Design and Analysis of Experiments. NewYork: JohnWiley & Sons 1984

    Google Scholar 

  8. Edsall DW. Analysis and frequency of artifacts generated by anesthesia information management systems. Anes-thesiology 1990; 73: A481

    Google Scholar 

  9. Kerr JH. Symposium on anaesthetic equipment.Warning devices. Br J Anaesth 1985; 57: 696 708

    Google Scholar 

  10. Weinger MB, Englund CE. Ergonomic and human factors a¡ecting anesthetic vigilance and monitoring perform-ance in the operating roomenvironment. Anesthesiology 1990; 73: 995 1021

    Google Scholar 

  11. ASTM F 1463-93. Standard speci¢cation for alarm signals in medical equipment used in anesthesia and respiratory care. Philadelphia: American Society for Testing and Materials 1993

    Google Scholar 

  12. ISO/DIS 9703-2. Anaesthesia and respiratory care alarm signals Part 2: Auditory alarm signals. Geneva 1993

  13. Patterson RD. Guidelines for auditory warning systems on civil aircraft. London: Civil Aviation Authority Report 82017, 1982

  14. Kerr JH. Warning devices. Br J Anaesth 1985; 57: 696 708

    PubMed  Google Scholar 

  15. Weinger MB. Proposed new alarm standards may make a bad situation worse (letter). Anesthesiology 1991; 74: 791 792

    Google Scholar 

  16. Block FE Jr. Evaluation of users' abilities to recognize musical alarm tones. J Clin Monit 1992; 8: 285 290

    Google Scholar 

  17. Patterson RD. Auditory warning sounds in the work environment. Phil Trans R Soc Lond B 1990; 327: 485 492

    Google Scholar 

  18. Burke CB. Alarms that speak. Anesthesiology 1986; 64: 655

    Google Scholar 

  19. Edworthy J, Loxley S, Dennis I. Improving auditory warning design: Relationship between warning sound parameters and perceived urgency. Human Factors 1991; 33: 205 231

    Google Scholar 

  20. ANSI/AAMI HE48-1993. Human factors engineering guidelines and preferred practices for the design of medical devices. Arlington, VA: Association for the Ad-vancement of Medical Instrumentation 1993 Block et al: Optimization of Alarms 83

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Block, F.E., Nuutinen, L. & Ballast, B. Optimization of Alarms: A Study on Alarm Limits, Alarm Sounds, and False Alarms, Intended to Reduce Annoyance. J Clin Monit Comput 15, 75–83 (1999). https://doi.org/10.1023/A:1009992830942

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