ArticleHippokratia
Nursing errors in intensive care unit and their association with burnout, anxiety, insomnia and working environment: a cross-sectional study.
Article in Hippokratia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Nurse Burnout and Patient Safety, Satisfaction, and Quality of Care: A Systematic Review and Meta-Analysis.JAMA network open · 2024Pooled it
- Meta-integration of qualitative research on the clinical work experiences of emergency department nurses.BMC nursing · 2026Article
- A retrospective descriptive study on the early identification of near-miss events in nursing.BMC health services research · 2026Article
- Predictors of human error among intensive care unit nurses: the roles of professional commitment and anxiety.AIMS public health · 2026Article
- Study of Nurses' Malpractice Tendencies and Burnout Levels.Research in nursing & health · 2025Article
- Medication administration errors and predictive role of resilience and emotional exhaustion in a sample of Iranian nurses.BMC nursing · 2025Article
- Health workforce capacity of intensive care units in the Eastern Mediterranean Region.PloS one · 2023Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn 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-
methodsA 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.
resultsNinety 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.
conclusionMedication 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.
Indexed as
Identifiers
37324040PMC10266324W4380871360What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.