In intensive care units (ICUs), patients' vital signs are monitored automatically. As soon as one of the parameters indicates a critical or potentially critical condition, an alarm is triggered on the ward. However, if there are too many alarms, even most of which are false or require no treatment, ward staff may develop alarm fatigue and become desensitized to alarms. This puts patients at risk, especially by overhearing critical alarms. Overburdening staff with alarms is part of everyday life in most ICUs. Considering the demographic development as well as the COVID-19 pandemic, it is to be expected that the number of intensive care patients and thus also the alarm burden in intensive care units will increase. This will also be exacerbated by the increasing digitization of the ICU. Evidence-based and data-driven alarm management enables clinicians to trust alarms again. With this study the investigators create a basic tool to survey alarm fatigue of intensive care staff: the first German language alarm fatigue questionnaire. The questionnaire will be collected in two phases. With the data from the first phase (N ≈ 300), the investigators aim to uncover any structure that may be latent in the questionnaire data (by exploratory factor analysis) and reduce the number of questions from 27 to ~15. The reduced questionnaire will be collected in the second phase (N ≈ 300 - 400). With the data obtained, the investigators intend to test the structure postulated in the first survey in a confirmatory factor analysis.
False-positive and non-actionable alarms can lead to staff desensitization (alarm fatigue) and thus patient endangerment. With this study the investigators create a basic tool to survey alarm fatigue of intensive care staff: the first German language alarm fatigue questionnaire.