Nursing errors in intensive care unit and their association with burnout, anxiety, insomnia and working environment: a cross-sectional study.

Background: In intensive care units (ICU), commonly identified nursing errors may have a negative impact on short- and long-term patient outcomes. Current data is scarce regarding nurses' burnout, insomnia, and anxiety impact on medication and several other types of nursing errors. This study aimed to record the commonness of various nursing errors, including checking patient data, medication preparation and administration, and infection control measures. It also aimed to investigate if "nurse-related" or "ICU-related" features may be associated with nursing error occurrence.

Material-methods: A sample of nurses employed in four Greek ICUs was evaluated using the self-completed Athens Insomnia Scale, the State-Trait Anxiety Inventory Form Y, and the Maslach Burnout Inventory. Moreover, we also recorded the sociodemographic characteristics of the ICU nurses, data regarding nursing errors and common practices, and variables regarding the working environment. We conducted a multinominal regression analysis to identify the variables independently associated with each error/mistake.

Results: Ninety ICU nurses from the 99 addressed returned the completed questionnaires. The most frequent mistakes referred to drug preparation and administration, with 43.3 % of nurses reporting being "always/very often" distracted when preparing a drug and 90 % that "half of the times" they administer medication at unscheduled hours, followed in frequency by errors regarding the proper use of antiseptic solutions. Medication errors were independently predicted by state anxiety, satisfaction regarding training, emotional exhaustion score, number of ICU beds, and weekdays off work per month. In contrast, errors regarding infection control were independently associated with weekdays off work per month.

Conclusion: Medication errors are the commonest type of nursing error. Although several risk factors have been identified, no universal "nurse-related" or "ICU-related" factor can predict all types of errors. HIPPOKRATIA 2022, 26 (3):110-117.