Software Application That Evaluates the Diagnostic Accuracy of Nursing Students

PURPOSE: Apply the educational software Fuzzy Kitten with undergraduate Brazilian nursing students. METHODS: This software, based on fuzzy logic, generates performance scores that evaluate the ability to identify defining characteristics/risk factors present in clinical cases, relate them with nursing diagnoses, and determine the diagnoses freely or using a decision support model. FINDINGS: There were differences in student performance compared to the year of the course. The time to perform the activity did not present a significant relation to the performance. The students' scores in the diagnoses indicated by the model was superior (p = .01). CONCLUSIONS: The software was able to evaluate the diagnostic accuracy of students. IMPLICATIONS: The software enables an objective evaluation of diagnostic accuracy.

Nursing care time in the Intensive Care Unit: evaluation of the parameters proposed in COFEN Resolution Nº 293/04

This study aimed to evaluate the parameters established in COFEN Resolution 293/04 concerning nursing staff dimensioning in adult intensive care units (AICU). The research was conducted in six hospitals in São Paulo City. The daily quantitative average of professionals needed for patient care was calculated according to the parameters established by COFEN. The obtained results were compared with the existing number of daily staff members in these units. It was observed that the proportions recommended by COFEN for the nurse category are superior to those used in the hospitals studied, which represents a challenge for Brazilian nursing. Mean care time values were found appropriate and represent important standards for dimensioning the minimum number of professionals in AICU. This study contributed to the validation of the parameters indicated in Resolution 293/04 for nursing staff dimensioning in the AICU.