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

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          Abstract

          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.

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          Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

          Franz Faul, Edgar Erdfelder, Axel Buchner … (2009)
          G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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            The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

            Erik von Elm, Douglas G. Altman, Matthias Egger … (2007)
            Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's generalizability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Initiative developed recommendations on what should be included in an accurate and complete report of an observational study. We defined the scope of the recommendations to cover three main study designs: cohort, case-control and cross-sectional studies. We convened a 2-day workshop in September 2004, with methodologists, researchers, and journal editors to draft a checklist of items. This list was subsequently revised during several meetings of the coordinating group and in e-mail discussions with the larger group of STROBE contributors, taking into account empirical evidence and methodological considerations. The workshop and the subsequent iterative process of consultation and revision resulted in a checklist of 22 items (the STROBE Statement) that relate to the title, abstract, introduction, methods, results, and discussion sections of articles. 18 items are common to all three study designs and four are specific for cohort, case-control, or cross-sectional studies. A detailed "Explanation and Elaboration" document is published separately and is freely available on the web sites of PLoS Medicine, Annals of Internal Medicine, and Epidemiology. We hope that the STROBE Statement will contribute to improving the quality of reporting of observational studies.
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              Staff Burn-Out

              Herbert J. Freudenberger (1974)
              Article 0 comments Cited 410 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Journal
                Title: Nursing in Critical Care
                Abbreviated Title: Nursing in Critical Care
                Publisher: Wiley
                ISSN (Print): 1362-1017
                ISSN (Electronic): 1478-5153
                Publication date Created: November 2023
                Publication date (Electronic): April 18 2023
                Publication date (Print): November 2023
                Volume: 28
                Issue: 6
                Pages: 940-947
                Affiliations
                [1 ] Pediatric Intensive Care Unit, Chengdu Women's and Children's Central Hospital, School of Medicine University of Electronic Science and Technology of China Chengdu China
                [2 ] Surgery Intensive Care Unit, Chengdu Women's and Children's Central Hospital, School of Medicine University of Electronic Science and Technology of China Chengdu China
                [3 ] Adult Intensive Care Unit, Chengdu Women's and Children's Central Hospital, School of Medicine University of Electronic Science and Technology of China Chengdu China
                [4 ] Department of Rehabilitation, Chengdu Women's and Children's Central Hospital, School of Medicine University of Electronic Science and Technology of China Chengdu China
                [5 ] Neonatal Intensive Care Unit, Chengdu Women's and Children's Central Hospital, School of Medicine University of Electronic Science and Technology of China Chengdu China
                [6 ] Pediatric Intensive Care Unit West China Second University Hospital, Sichuan University/West China Women's and Children's Hospital Chengdu China
                [7 ] Intensive Care Unit 1 Fujian Provincial Hospital Fuzhou China
                [8 ] Intensive Care Unit The Affiliated Hospital of Guizhou Medical University
                [9 ] Department of Nursing, Chengdu Women's and Children's Central Hospital, School of Medicine University of Electronic Science and Technology of China Chengdu China
                Article
                DOI: 10.1111/nicc.12899
                PubMed ID: 37070292
                SO-VID: 4f05ee26-678e-443b-9c28-116ce93d5142
                Copyright © © 2023
                License:

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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