1. Delirium assessment in hospitalized elderly patients: Italian translation and validation of the nursing delirium screening scale.
- Author
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Spedale V, Di Mauro S, Del Giorno G, Barilaro M, Villa CE, Gaudreau JD, and Ausili D
- Subjects
- Aged, Aged, 80 and over, Comorbidity, Female, Humans, Italy, Male, ROC Curve, Reproducibility of Results, Surveys and Questionnaires, Translations, Delirium diagnosis, Hospitalization, Mental Status Schedule, Nursing Assessment methods
- Abstract
Background: Delirium has a high incidence pathology associated with negative outcomes. Although highly preventable, half the cases are not recognized. One major cause of delirium misdiagnosis is the absence of a versatile instrument to measure it., Aims: Our objective was to translate the nursing delirium screening scale (Nu-DESC) and evaluate its performance in Italian settings., Methods: This was a methodological study conducted in two sequential phases. The first was the Italian translation of Nu-DESC through a translation and back-translation process. The second aimed to test the inter-rater reliability, the sensibility and specificity of the instrument on a convenience sample of 101 hospitalized elderly people admitted to relevant wards of the San Gerardo Hospital in Monza. To evaluate the inter-rater reliability, two examiners tested Nu-DESC on 20 patients concurrently without comparison. To measure the sensibility and specificity of Nu-DESC, the confusion assessment method was used as a gold standard measure., Results: The inter-rater reliability (Cohen Kappa) was 0.87-an excellent agreement between examiners. The study of the ROC curve showed an AUC value of 0.9461 suggesting high test accuracy. Using 3 as a cut-off value, Nu-DESC showed 100 % sensibility and 76 % specificity., Discussion and Conclusion: Further research is needed to test Nu-DESC on a larger sample. However, based on our results, Nu-DESC can be used in research and clinical practice in Italian settings because of its very good and similar performances to previous validation studies. The value of 3 appears to be the optimal cut-off in the Italian context.
- Published
- 2017
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