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Technological Distractions (Part 2): A Summary of Approaches to Manage Clinical Alarms With Intent to Reduce Alarm Fatigue.
Winters, Bradford D; Cvach, Maria M; Bonafide, Christopher P; Hu, Xiao; Konkani, Avinash; O'Connor, Michael F; Rothschild, Jeffrey M; Selby, Nicholas M; Pelter, Michele M; McLean, Barbara; Kane-Gill, Sandra L.
Afiliación
  • Winters BD; 1Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University, School of Medicine, Baltimore, MD.2Department of Integrated Healthcare Delivery, Johns Hopkins Health System, Baltimore, MD.3Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.4Departments of Physiological Nursing and Neurological Surgery, UC Berkeley/UCSF Joint Bio-Engineering Graduate Programe, Berkeley, CA.5Department of Clinical Engineering, Clinical Engi
Crit Care Med ; 46(1): 130-137, 2018 01.
Article en En | MEDLINE | ID: mdl-29112077
ABSTRACT

OBJECTIVE:

Alarm fatigue is a widely recognized safety and quality problem where exposure to high rates of clinical alarms results in desensitization leading to dismissal of or slowed response to alarms. Nonactionable alarms are thought to be especially problematic. Despite these concerns, the number of clinical alarm signals has been increasing as an everincreasing number of medical technologies are added to the clinical care environment. DATA SOURCES PubMed, SCOPUS, Embase, and CINAHL. STUDY SELECTION We performed a systematic review of the literature focused on clinical alarms. We asked a primary key question; "what interventions have been attempted and resulted in the success of reducing alarm fatigue?" and 3-secondary key questions; "what are the negative effects on patients/families; what are the balancing outcomes (unintended consequences of interventions); and what human factor approaches apply to making an effective alarm?" DATA EXTRACTION Articles relevant to the Key Questions were selected through an iterative review process and relevant data was extracted using a standardized tool. DATA

SYNTHESIS:

We found 62 articles that had relevant and usable data for at least one key question. We found that no study used/developed a clear definition of "alarm fatigue." For our primary key question 1, the relevant studies focused on three main areas quality improvement/bundled activities; intervention comparisons; and analysis of algorithm-based false and total alarm suppression. All sought to reduce the number of total alarms and/or false alarms to improve the positive predictive value. Most studies were successful to varying degrees. None measured alarm fatigue directly.

CONCLUSIONS:

There is no agreed upon valid metric(s) for alarm fatigue, and the current methods are mostly indirect. Assuming that reducing the number of alarms and/or improving positive predictive value can reduce alarm fatigue, there are promising avenues to address patient safety and quality problem. Further investment is warranted not only in interventions that may reduce alarm fatigue but also in defining how to best measure it.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_doencas_nao_transmissiveis Asunto principal: Fatiga Mental / Alarmas Clínicas / Unidades de Cuidados Intensivos Tipo de estudio: Etiology_studies / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Crit Care Med Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_doencas_nao_transmissiveis Asunto principal: Fatiga Mental / Alarmas Clínicas / Unidades de Cuidados Intensivos Tipo de estudio: Etiology_studies / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Crit Care Med Año: 2018 Tipo del documento: Article
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