ABSTRACT
Purpose@#This study was conducted to develop a simulation-based postpartum care education program for women with postpartum hemorrhage and to verify the effects of the program on postpartum care. @*Methods@#This program was developed according to the ADDIE model of instructional system design, which consists of analysis, design, development, implementation, and evaluation phases. This quasi-experimental study used a non-equivalent control group pre- and post-test design, and data were collected from April 23 to May 4, 2015. To verify the effects of the program, 33 nursing students in the experimental group participated in a simulation program, whereas 31 students in the control group were given a case study. @*Results@#The experimental group had statistically significantly higher scores for clinical performance (t=–4.80, p<.001), clinical judgment (t=–4.14, p<.001), and learning satisfaction (t=–10.45, p<.001) than the control group. @*Conclusion@#The results of this study indicate that the simulation-based postpartum care education program for women with postpartum hemorrhage was effective for developing students’ competency, implying that this program should be integrated into the clinical training component of the maternal nursing curriculum.
ABSTRACT
Purpose@#The purpose of this study was to compare sociodemographic characteristics of a normal cognitive group and mild cognitive impairment group, and establish prediction models of Mild Cognitive Impairment (MCI). @*Methods@#This study was a secondary data analysis research using data from “the 4th Korea Longitudinal Study of Ageing” of the Korea Employment Information Service. A total of 6,405 individuals, including 1,329 individuals with MCI and 5,076 individuals with normal cognitive abilities, were part of the study. Based on the panel survey items, the research used 28 variables. The methods of analysis included a c2-test, logistic regression analysis, decision tree analysis, predicted error rate, and an ROC curve calculated using SPSS 23.0 and SAS 13.2. @*Results@#In the MCI group, the mean age was 71.4 and 65.8% of the participants was women. There were statistically significant differences in gender, age, and education in both groups. Predictors of MCI determined by using a logistic regression analysis were gender, age, education, instrumental activity of daily living (IADL), perceived health status, participation group, cultural activities, and life satisfaction. Decision tree analysis of predictors of MCI identified education, age, life satisfaction, and IADL as predictors. @*Conclusion@#The accuracy of logistic regression model for MCI is slightly higher than that of decision tree model. The implementation of the prediction model for MCI established in this study may be utilized to identify middle-aged and elderly people with risks of MCI. Therefore, this study may contribute to the prevention and reduction of dementia.