viernes, 4 de septiembre de 2015

AHRQ WebM&M: Morbidity and Mortality Rounds on the Web ► Alert Fatigue

AHRQ WebM&M: Morbidity and Mortality Rounds on the Web

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Alert Fatigue


The rapidly increasing computerization of health care has produced benefits for clinicians and patients. Yet the integration of technology into medicine has been anything but smooth, and as newer and more sophisticated devices have been added to the clinical environment, clinicians' workflows have been affected in unanticipated ways. These fundamental shifts have resulted in new threats to patient safety—a cruel irony given that technological solutions have been promoted for many years as the most promising solution to medical errors.

Most health care technologies—be they computerized provider order entry systems (CPOE), smart intravenous infusion pumps, or cardiac monitoring devices—provide auditory or visual warnings to clinicians to prevent or act on unsafe situations. These warnings are well intended and in isolation may be helpful. However, in the current highly computerized clinical environment, an individual clinician interacts with many different alert-generating devices—meaning that every day, clinicians are on the receiving end of a staggering number of alerts. A 2014 study found that the physiologic monitors in an academic hospital's 66 adult intensive care unit beds generated more than 2 million alerts in one month, translating to 187 warnings per patient per day. According to another study, CPOE systems generate warnings for 3%–6% of all orders that are entered, meaning that a physician could easily receive dozens of warnings each day.

The term alert fatigue describes how busy workers (in the case of health care, clinicians) become desensitized to safety alerts, and as a result ignore or fail to respond appropriately to such warnings. This phenomenon occurs because of the sheer number of alerts, and it is compounded by the fact that the vast majority of alerts generated by CPOE systems (and other health care technologies) are clinically inconsequential—meaning that in most cases, clinicians should ignore them. The problem is that clinicians then ignore both the bothersome, clinically meaningless alarms and the critical alerts that warn of impending serious patient harm. In essence, a proliferation of alerts that are intended to improve safety actually results in a paradoxical increase in the chance patients will be harmed. Although little discussed prior to the widespread use of electronic medical records, alert fatigue is now recognized as a major unintended consequence of the computerization of health care and a significant patient safety hazard.

Effect of alert fatigue on patient safety

Much of the literature on alert fatigue derives from studies of CPOE and clinical decision support systems, in which alerts are provided to warn of potentially harmful drug–drug interactions or incorrect medication doses. These studies consistently show three main findings:

  • Alerts are only modestly effective at best. A systematic review of computerized reminders found only minor improvements in targeted processes of care, and, while CPOE systems have been shown to markedly decrease prescribing errors, this can largely be ascribed to their ability to standardize drug doses, provide decision support, and eliminate errors from poor handwriting or incorrect transcriptions.
  • Alert fatigue is common. Clinicians generally override the vast majority of CPOE warnings, even "critical" alerts that warn of potentially severe harm. There is less literature on other types of warnings, but it is likely that rates of overriding or ignoring warnings in other settings are also high.
  • Alert fatigue increases with growing exposure to alerts and heavier use of CPOE systems. This finding is intuitive, but also raises the important implication that without system redesign, the safety consequences of alert fatigue will likely become more serious over time.
Although there are few studies that quantify adverse events related to alert fatigue, this phenomenon has been implicated as a significant cause in several high-profile errors. A 2011 Boston Globe investigation identified more than 200 deaths over a 5-year period attributable to failure to appropriately heed alarms from physiologic monitoring systems. A recent book by a prominent patient safety leader details how a hospitalized teenager received a 38-fold overdose of an antibiotic, in large part because the ordering physician had been advised by colleagues to "just ignore the alerts."

Current context

Although only recently recognized, alert fatigue (and the unintended consequences of the computerization of health care) has become a high profile patient safety issue. The Joint Commission released a sentinel event alert in April 2015 calling for health care organizations to pay close attention to information technology as a safety issue. In order to mitigate these consequences—including alert fatigue—The Joint Commission recommended improving the culture of safety by creating a shared sense of responsibility between users and developers, paying careful attention to safe ITimplementation, and engaging leadership to provide oversight of health IT planning, implementation, and evaluation.

There is intense interest in developing specific methods to combat alert fatigue, but as yet, there is no consensus on the optimal approaches. Solving alert fatigue will require use of the principles of human factors engineering as well as those of informatics, as the problem fundamentally arises from both the technology itself and how busy human beings interact with the technology. An AHRQ WebM&M commentary provided several suggestions on how to minimize alert fatigue in CPOE systems:

  • Increase alert specificity by reducing or eliminating clinically inconsequential alerts.
  • Tailor alerts to patient characteristics and critical integrated clusters of physiologic indicators. For example, incorporate renal function test results into the alert system so that alerts for nephrotoxic medications are triggered only for patients at high risk.
  • Tier alerts according to severity. Warnings could be presented in different ways, in order to key clinicians to alerts that are more clinically consequential.
  • Make only high-level (severe) alerts interruptive.
  • Apply human factors principles when designing alerts (e.g., format, content, legibility, and color of alerts).
One limitation to addressing alert fatigue pertains to the legal consequences of removing alerts. A recent commentary pointed out that system developers have thus far been reluctant to remove alerts for fear of being held liable if patients were harmed in the absence of a warning. There has been progress toward developing guidelines for high-severity alerts (which warn of significant risk of harm and should be retained) and low-severity alerts (less clinically consequential warnings, which could be made non-interruptive or removed entirely).

In solving the problem of alert fatigue, health care will need to look to examples from other industries. The aviation industry offers a sharp contrast to health care, because cockpit technology is rigorously designed to provide only highly consequential alerts to pilots, minimizing minor alerts in order to allow pilots to maintain situational awareness. This use of human factors engineering and deep attention to the experience of the end-user has thus far been lacking in health care technology design.
What's New in Alert Fatigue on AHRQ PSNet
Examining the Relationship Between Health IT and Ambulatory Care Workflow Redesign.
Zheng K, Ciemins EL, Lanham HJ, Lindberg C. Rockville, MD: Agency for Healthcare Research and Quality; July 2015. AHRQ Publication No. 15-0058-EF.
Lack of standardisation between specialties for human factors content in postgraduate training: an analysis of specialty curricula in the UK.
Greig PR, Higham H, Vaux E. BMJ Qual Saf. 2015;24:558-560.
Preventing Falls With Injury.
Oakbrook Terrace, IL: Joint Commission Center for Transforming Healthcare; August 2015.
An evaluation of the effects of human factors and ergonomics on health care and patient safety practices: a systematic review.
Mao XY, Jia PL, Zhang LH, Zhao PJ, Chen Y, Zhang MM. PLoS One. 2015;10:e0129948.
FDA Drug Safety Communication: FDA warns about prescribing and dispensing errors resulting from brand name confusion with antidepressant Brintellix (vortioxetine) and antiplatelet Brilinta (ticagrelor).
MedWatch Safety Alert. Silver Spring, MD: US Food and Drug Administration; July 30, 2015.
Heparin-containing medical devices and combination products: recommendations for labeling and safety testing. Draft guidance for industry and Food and Drug Administration staff.
Federal Register. Washington, DC: US Department of Health and Human Services. Baltimore, MD: Food and Drug Administration. July 9, 2015;80:39440-39441.
Maximizing smart pump technology to enhance patient safety.
Makic MBF. Clin Nurs Spec. 2015;29:195-197.
Editor's Picks for Alert Fatigue

Finding Fault With the Default Alert.
Melissa Baysari, PhD. AHRQ WebM&M [serial online]. October 2013
Situational (Un)Awareness.
Erika Abramson, MD, MS, and Rainu Kaushal, MD, MPH. AHRQ WebM&M [serial online]. September 2011
 Classic iconComputerised physician order entry-related medication errors: analysis of reported errors and vulnerability testing of current systems.
Schiff GD, Amato MG, Eguale T, et al. BMJ Qual Saf. 2015;24:264-271.
 Classic iconInsights into the problem of alarm fatigue with physiologic monitor devices: a comprehensive observational study of consecutive intensive care unit patients.
Drew BJ, Harris P, Zègre-Hemsey JK, et al. PLoS One. 2014;9:e110274.
Drug–drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records.
Phansalkar S, van der Sijs H, Tucker AD, et al. J Am Med Inform Assoc. 2013;20:489-493.
 Classic iconAre we heeding the warning signs? Examining providers' overrides of computerized drug–drug interaction alerts in primary care.
Slight SP, Seger DL, Nanji KC, et al. PLoS One. 2013;8:e85071.
Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study.
Embi PJ, Leonard AC. J Am Med Inform Assoc. 2012;19:e145-e148.
Clinical decision support systems could be modified to reduce 'alert fatigue' while still minimizing the risk of litigation.
Kesselheim AS, Cresswell K, Phansalkar S, Bates DW, Sheikh A. Health Aff (Millwood). 2011;30:2310-2317.
 Classic iconEffect of point-of-care computer reminders on physician behaviour: a systematic review.
Shojania KG, Jennings A, Mayhew A, Ramsay C, Eccles M, Grimshaw J. CMAJ. 2010;182:E216-E25.
Overrides of medication alerts in ambulatory care.
Isaac T, Weissman JS, Davis RB, et al. Arch Intern Med. 2009;169:305-311.
The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine's Computer Age.
Wachter R. New York, NY: McGraw-Hill; 2015. ISBN: 9780071849463.
Patient alarms often unheard, unheeded.
Kowalczyk L. Boston Globe. February 13–14, 2011.

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