Sousa Vanessa E C, Lopes Marcos V O, Ferreira Gabriele L, Diniz Camila M, Froes Nathaly B M, Sobreira Bianca A
Nursing Department, Federal University of Ceará, 1115 Alexandre Barauna St., Fortaleza, CE, Brazil.
Nurse Educ Today. 2016 Jan;36:221-9. doi: 10.1016/j.nedt.2015.10.027. Epub 2015 Oct 31.
Student nurses often have difficulties with diagnostic inferences. To achieve high accuracy nursing diagnoses, effective learning strategies are required.
To describe the construction and evaluation of new educational software called Wise Nurse, which was developed to increase the capacity of student nurses to identify nursing diagnoses (NDx) and to establish relationships between NDx, defining characteristics (DC), and related factors (RF).
Randomized controlled trial.
Participants were 2nd to 4th year student nurses from an undergraduate program at a university in Brazil. Of the 47 recruited students, 37 completed the survey.
Students were randomly assigned to test the software (experimental group) and to solve printed clinical cases (comparison group). A pretest and post-test were applied before and after the experiment. Statistical analyses of the students' performance in the tests were conducted. The primary outcome was the students' progress in solving questions and clinical cases regarding NDx. The System Usability Scale was used to measure the software's ease of use.
No significant difference was found between the experimental and comparison groups before and after the experiment. The average students' performance in identifying RF and NDx was higher than in identifying DC. The post-test score was higher than the pretest score in both groups (P=0.022). The usability score was good (average score 83.75, N=20).
The use of Wise Nurse supported an improvement in student diagnostic reasoning equivalent to that of the traditional NDx training, but the software stands out as an innovative teaching tool.
实习护士在诊断推理方面常常存在困难。为了实现高精度的护理诊断,需要有效的学习策略。
描述一款名为“智慧护士”的新型教育软件的构建与评估,该软件旨在提高实习护士识别护理诊断(NDx)以及建立护理诊断、定义性特征(DC)和相关因素(RF)之间关系的能力。
随机对照试验。
参与者为巴西一所大学本科项目二至四年级的实习护士。在招募的47名学生中,37名完成了调查。
学生被随机分配去测试软件(实验组)和解决纸质临床病例(对照组)。在实验前后分别进行了前测和后测。对学生在测试中的表现进行了统计分析。主要结果是学生在解决关于护理诊断的问题和临床病例方面的进展。使用系统可用性量表来衡量软件的易用性。
实验组和对照组在实验前后均未发现显著差异。学生在识别相关因素和护理诊断方面的平均表现高于识别定义性特征方面。两组的后测分数均高于前测分数(P = 0.022)。可用性得分良好(平均得分83.75,N = 20)。
使用“智慧护士”软件有助于提高学生的诊断推理能力,其效果与传统护理诊断培训相当,但该软件作为一种创新教学工具脱颖而出。