Nurses' responses to monitor alarms in an intensive care unit: An observational study

The relationship between alarm fatigue and burnout among critical care nurses: A cross-sectional study

BACKGROUND

Alarm fatigue has significant negative impacts on nurses and patient safety. However, the relationship between alarm fatigue and burnout is still unclear.

AIMS

This study aimed to explore the relationship between alarm fatigue and burnout among critical care nurses.

STUDY DESIGN

A descriptive-analytical cross-sectional study design was used. Data were collected from five hospitals in mainland China between January 2022 and March 2022. A general information questionnaire, the Chinese version of the Intensive Care Unit Nurse Alarm Fatigue Questionnaire, and the Chinese version of the Maslach Burnout Inventory were used.

RESULTS

A total of 236 critical care nurses were enrolled in this study. The mean score of alarm fatigue among critical care nurses was 21.11 ± 6.83. The results showed that critical care nurses experienced moderate alarm fatigue levels, and most nurses had moderate to high levels of burnout. The multiple linear regression analyses showed that alarm fatigue was independently associated with emotional exhaustion, depersonalization dimensions, and reduced personal accomplishment dimension.

CONCLUSIONS

Alarm fatigue was associated with burnout among critical care nurses. Reducing critical care nurses' alarm fatigue may help to alleviate burnout.

RELEVANCE TO CLINICAL PRACTICE

Managers should provide comprehensive training for nurses and promote the application of artificial intelligence technology in alarm management to reduce alarm fatigue and improve burnout among critical care nurses.

The effect of interventions made in intensive care units to reduce alarms: A systematic review and meta-analysis study

OBJECTIVES

This study examines the effects of the interventions in alarm management in intensive care units on reducing alarms on the basis of current evidence.

METHODOLOGY

This systematic review and meta-analysis study was conducted between January 1, 2010 and October 31, 2021 by searching 16 databases through an independent search by three researchers. The acronym of PICOS was used and the keywords as well as inclusion/exclusion criteria were determined. The Joanna Briggs Institute meta-Analysis of Statistics Assessment and Review Instruments (JBI-MAStARI) were used to assess methodological quality. Professional meta-analysis Software (ProMeta 3) statistical software package was used for data analysis. The study is preregistered on PROSPERO (CRD42021286770).

SETTING

Intensive care units.

RESULTS

The systematic review included 25 studies, whereas the meta-analysis included 15. According to the heterogeneity test in the study, alarm-reducing interventions yielded a heterogeneous distribution. The overall effect size value of all studies, which was found using the random-effects model, was determined to be -0.03 [95 % confidence interval (CI)], a value between -0.16 and 0.10 CI. Based on the results, individual studies showed that the strategies suggesting to ensure alarm safety were effective in reducing the number of alarms; the combined results of the studies in this meta-analysis showed that the interventions made to reduce alarms had too little effect.

CONCLUSION

This study showed that the interventions have a very weak effect size on reducing the number of alarms.

Alarm fatigue in nurses working in intensive care units: A multicenter study

BACKGROUND: Technological progress improves health care efficiency, quality, safety, and cost, supporting clinical activity in various scenarios, such as Intensive Care Unit (ICU). A timely response to alarms from monitors and other ICU electromedical devices is therefore crucial. The number of false alarms tend to desensitize care providers increasing the risk of experiencing alarm fatigue and, at times, lead to severe consequences for patients. OBJECTIVES: To assess the psychometric properties of the Italian version of the Alarm Fatigue Questionnaire and to explore the phenomenon of alarm fatigue among nurses working in intensive care settings. METHODS: The CVI-I was calculated to evaluate the validity of the content of the tool. Construct validity was investigated through exploratory factor analysis. Cronbach’s alpha coefficient (α) was used to examine the internal consistency of the scale and Spearman’s rho coefficient to test for stability. We designed a multicentre cross-sectional survey. A convenience sample of nurses from 4 Major Italian hospitals was recruited. The nurses completed the Italian version of the Alarm Fatigue Questionnaire. RESULTS: The content validity index CVI-S of the scale (CVI-S) was 91.11%; Cronbach’s alpha coefficient was 0.71. The Italian version of the tool explained 67.18%of the overall variance. 396 nurses were enrolled (79.84%). The overall level of alarm fatigue was Me = 29 [22;30]. 42.17%of the sample reported prior experience with alarm fatigue incidents. CONCLUSIONS: The extension of alarm fatigue requires the adoption of a preventive intervention plan. The Italian version of the Alarm Fatigue Questionnaire shows promising psychometric properties.