ArticleCritical care nurse2020
Early Identification of Delirium in Intensive Care Unit Patients: Improving the Quality of Care.
Article in Critical care nurse, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
5 citing papers in PubMed.
- Article
- Relationship between Additional Required Nursing Documentation and Patient Outcomes: A Scoping Review.Applied clinical informatics · 2025Article
- Article
- Prevalence of Delirium and Its Related Factors in Burn Patients; a Systematic Review and Meta-Analysis.Archives of academic emergency medicine · 2024Review
- Best Practices in Oral Care.Critical care nurse · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundDelirium has long-term consequences for intensive care unit patients. The project site, an urban academic hospital, did not previously use a validated delirium screening tool, and patients commonly received sedative medications to treat agitation.
objectiveTo minimize the risk of delirium by implementing the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) as the standard-of-care delirium assessment tool in the intensive care unit and by decreasing use of high-risk medications (ie, opioids and benzodiazepines).
methodsAn observational pretest-posttest design was used to analyze deidentified patient data from electronic health records. The evidence-based practice intervention focused on educating nurses on high-risk medications and CAM-ICU implementation. Control charts, χ2 tests, and mixed regression models were used to evaluate the effectiveness of the intervention in reducing delirium risk by decreasing use of high-risk medications.
resultsHigh-risk medication use significantly decreased after intervention among patients at low risk for delirium (before intervention, 7.37%; after intervention, 3.92%; P < .001) and at high risk for delirium (before intervention, 4.73%; after intervention, 2.99%; P < .001). Hospital stays were significantly shorter in patients at low risk than at high risk for delirium (P < .001) but increased by a mean of 0.13 days with each additional high-risk medication used (P < .001).
conclusionsThe variation of high-risk medication use was significantly controlled with the implementation of CAM-ICU and education. Nurses felt that hands-on training with the CAM-ICU increased their comfort in identifying patients at risk for delirium. Future work will focus on assessment accuracy.
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