PURPOSE: To identify the characteristics and health-care needs of high-risk pregnant women in maternal-fetal intensive care units (MFICU). METHODS: mixed-methods design was adopted. Data were collected from 78 high-risk pregnant women admitted to the MFICU. Qualitative data included ten participants' experiences with hospitalization and childbirth, which were analyzed using mixed content analysis. Quantitative data were analyzed using at-test and one-way ANOVA testing. RESULTS: The average score for pregnancy and childbirth health-care needs was 3.54 points. Average score by area was before-admission health care (3.70), health care of baby (3.67), health of childbirth (3.61), postpartum health (3.51), and pregnancy health care during hospitalization (3.48). Qualitative results showed diverse feelings and experiences of high-risk pregnant women and their need for health care, which was expressed in three themes and 11 sub-themes. CONCLUSION: Nurses should recognize high-risk mothers' feelings and needs for pregnancy and childbirth-focused health care to help patients accept their vulnerability and cope positively.
Critical Care* ; Delivery of Health Care ; Female ; Hospitalization ; Humans ; Intensive Care Units* ; Needs Assessment ; Parturition ; Postpartum Period ; Pregnancy ; Pregnant Women* ; Prenatal Care

Purpose: This study aimed to explore the relationship between grit and work engagement among millennial and Generation Z (MZ generation) nurses, as well as the moderating effect of work friendships on this relationship. Methods: The study included 191 MZ generation nurses with over six months of experience, surveyed via a self-administered questionnaire at four general hospitals in Daejeon and Seoul from December 2020 to February 2021. Descriptive statistics, t-tests, one-way analysis of variance, Pearson’s correlation analysis, and hierarchical multiple regression were used to analyze the collected data. The PROCESS macro program with bootstrapping was employed to evaluate the significance of mediating effects. Results: Work friendships partially mediated the association between grit and work engagement, with an explanatory power of 29.9%. The significance of the indirect mediating effect using bootstrapping analysis indicated an effect size of 0.33, a lower limit confidence interval of 0.17, and an upper limit confidence interval of 0.52, which was significant as it did not include Zero. Conclusion Developing a program to improve grit is necessary to increase the work engagement of MZ generation nurses, and establishing and implementing a program to improve work friendships, along with education for individual nurses, is crucial.

Purpose: This study aimed to explore the relationship between grit and work engagement among millennial and Generation Z (MZ generation) nurses, as well as the moderating effect of work friendships on this relationship. Methods: The study included 191 MZ generation nurses with over six months of experience, surveyed via a self-administered questionnaire at four general hospitals in Daejeon and Seoul from December 2020 to February 2021. Descriptive statistics, t-tests, one-way analysis of variance, Pearson’s correlation analysis, and hierarchical multiple regression were used to analyze the collected data. The PROCESS macro program with bootstrapping was employed to evaluate the significance of mediating effects. Results: Work friendships partially mediated the association between grit and work engagement, with an explanatory power of 29.9%. The significance of the indirect mediating effect using bootstrapping analysis indicated an effect size of 0.33, a lower limit confidence interval of 0.17, and an upper limit confidence interval of 0.52, which was significant as it did not include Zero. Conclusion Developing a program to improve grit is necessary to increase the work engagement of MZ generation nurses, and establishing and implementing a program to improve work friendships, along with education for individual nurses, is crucial.

Purpose: This study aimed to explore the relationship between grit and work engagement among millennial and Generation Z (MZ generation) nurses, as well as the moderating effect of work friendships on this relationship. Methods: The study included 191 MZ generation nurses with over six months of experience, surveyed via a self-administered questionnaire at four general hospitals in Daejeon and Seoul from December 2020 to February 2021. Descriptive statistics, t-tests, one-way analysis of variance, Pearson’s correlation analysis, and hierarchical multiple regression were used to analyze the collected data. The PROCESS macro program with bootstrapping was employed to evaluate the significance of mediating effects. Results: Work friendships partially mediated the association between grit and work engagement, with an explanatory power of 29.9%. The significance of the indirect mediating effect using bootstrapping analysis indicated an effect size of 0.33, a lower limit confidence interval of 0.17, and an upper limit confidence interval of 0.52, which was significant as it did not include Zero. Conclusion Developing a program to improve grit is necessary to increase the work engagement of MZ generation nurses, and establishing and implementing a program to improve work friendships, along with education for individual nurses, is crucial.

Purpose: This study aimed to explore the relationship between grit and work engagement among millennial and Generation Z (MZ generation) nurses, as well as the moderating effect of work friendships on this relationship. Methods: The study included 191 MZ generation nurses with over six months of experience, surveyed via a self-administered questionnaire at four general hospitals in Daejeon and Seoul from December 2020 to February 2021. Descriptive statistics, t-tests, one-way analysis of variance, Pearson’s correlation analysis, and hierarchical multiple regression were used to analyze the collected data. The PROCESS macro program with bootstrapping was employed to evaluate the significance of mediating effects. Results: Work friendships partially mediated the association between grit and work engagement, with an explanatory power of 29.9%. The significance of the indirect mediating effect using bootstrapping analysis indicated an effect size of 0.33, a lower limit confidence interval of 0.17, and an upper limit confidence interval of 0.52, which was significant as it did not include Zero. Conclusion Developing a program to improve grit is necessary to increase the work engagement of MZ generation nurses, and establishing and implementing a program to improve work friendships, along with education for individual nurses, is crucial.

PURPOSE: The purpose of this study was to identify the factors influencing personal disaster preparation and disaster nursing core competency among visiting nurses in public health centers. METHODS: A descriptive survey study was adopted. A convenience sample was taken from 277 subjects in three regions. Data were analyzed by descriptive statistics, t-test, ANOVA, correlation, Pearson correlation coefficient and multiple regression. RESULTS: The mean personal disaster preparation and disaster nursing core competency scores were 11.13 and 76.87, respectively. Personal disaster preparation was statistically significant by experience of disaster victims and disaster management guideline. Disaster nursing core competency was statistically significant by participation in future disaster recovery. As a result of multiple regression analysis, personal disaster preparation accounted for 14.9 of the variance by experience of disaster victims and disaster management guidelines; disaster nursing core competency accounted for 8.9 of the variance by perception of disaster nursing. CONCLUSION: Although visiting nurses are ill-prepared for disaster, global natural and man-made disasters can occur regardless of time and place. Disaster education and training should therefore be included in nurses' fundamental education.
Disaster Victims ; Disasters* ; Education ; Humans ; Nurses, Community Health* ; Nursing ; Public Health*

Perinatal infection is the leading cause of fetal and neonatal mortality and is directly related to childhood morbidity. Perinatal infections cause abnormal growth, delayed development, and many other clinical pro blems in newborns. In particular, TORCH syndrome can cause serious fetal and neonatal health problems through vertical infection, and timely diagnosis and treatment through regular antenatal examinations are important. There are no therapeutic options or vaccines for parvovirus or cytomegalovirus. Therefore, prevention is the most important method. In the case of toxoplasmosis, prenatal education is important because it can be prevented through hygiene management, although there are therapeutic drugs. Syphilis has a high preva­lence, so early diagnosis is important. Rubella and varicella zoster infections can lead to fatal results in vertical transmission to the fetus. Therefore, preconception vaccination should be performed.Women with herpes simplex, which has a high prevalence in the community, need to be mindful when choosing a childbirth method by evaluating the infection through regular prenatal care to prevent vertical infection. Seasonal flu is rarely transmitted vertically to the fetus, but the morbidity and mortality risk to the mother is higher than that of the general population. Thus, prevention through vaccination is important.Lastly, coronavirus disease 2019 (COVID-19) infection has yet to be well studied, although the mother's mor­bidity and mortality are similar to those of the general population and there is no evidence of vertical in­fection. Since the findings of the effects on the mother and fetus are limited, transmission should be pre­vented through social distancing and personal hygiene practices.

OBJECTIVES: Breast cancer is the second most common cancer among Korean women. Because breast cancer is strongly associated with negative emotional and physical changes, early detection and treatment of breast cancer are very important. As a supporting tool for classifying breast cancer, we tried to identify the best meta-learner model in a stacking ensemble when the same machine learning models for the base learner and meta-learner are used. METHODS: We used machine learning models, such as the gradient boosted model, distributed random forest, generalized linear model, and deep neural network in a stacking ensemble. These models were used to construct a base learner, and each of them was used as a meta-learner again. Then, we compared the performance of machine learning models in the meta-learner to determine the best meta-learner model in the stacking ensemble. RESULTS: Experimental results showed that using the GBM as a meta-learner led to higher accuracy than that achieved with any other model for breast cancer data and using the GLM as a meta learner led to low root-mean-squared error for both sets of breast cancer data. CONCLUSIONS: We compared the performance of every meta-learner model in a stacking ensemble as a supporting tool for classifying breast cancer. The study showed that using specific models as a metalearner resulted in better performance than single classifiers, and using GBM and GLM as a meta-learner is appropriate as a supporting tool for classifying breast cancer data.
Breast Neoplasms ; Breast ; Classification ; Female ; Forests ; Humans ; Linear Models ; Machine Learning ; Medical Informatics ; Statistics as Topic

Recent advances in computer technology have generated a new area of research known as radiomics. Radiomics is defined as the high throughput extraction and analysis of quantitative features from imaging data. Radiomic features provide information on the gray-scale patterns, inter-pixel relationships, as well as shape and spectral properties of radiological images. Moreover, these features can be used to develop computational models that may serve as a tool for personalized diagnosis and treatment guidance. Although radiomics is becoming popular and widely used in oncology, many problems such as overfitting and reproducibility issues remain unresolved. In this review, we will outline the steps of radiomics used for oncology, specifically addressing applications for breast cancer patients and focusing on technical issues.

The study aimed to evaluate the skeletal, dentoalveolar, and soft-tissue effects of prefabricated myofunctional appliances in pediatric patients with Class II malocclusion. Twenty-three patients (12 boys and 11 girls; mean chronological age 9.03 ± 1.90 years) with Class Ⅱ malocclusion who were treated with Éducation Fonctionnelle (EF line®) (Orthoplus, Igny, France) were assessed. Radiographic analysis using lateral cephalograms was conducted at treatment initiation and following a 12-month intervention period, with an average monitoring duration of 14.13 ± 2.82 months. Cephalometric evaluation was performed using V-ceph™ (Osstem, Seoul, Korea), and the Wilcoxon signed-rank test was employed for data analysis. The results demonstrated significant improvements in sagittal relationships, including decreased ANB angle and Wits appraisal, as well as increased SNB angle. Mandibular growth was evident through increases in mandibular length measurements (Co-Go, Co-Gn, and Go-Gn). Vertically, backward and downward rotation of the mandible was observed, as evidenced by increases in FMA, SN-MP, and Y-axis angles, resulting in significant increases in facial height. Dentoalveolar changes were characterized by lingual inclination of the maxillary incisors and labial tipping of the mandibular incisors, with significant reductions in both overjet and overbite. Soft tissue analysis revealed enhanced facial esthetics through increases in the nasolabial and mentolabial angles, accompanied by reduced upper lip protrusion. In conclusion, this study validated the clinical efficacy of prefabricated myofunctional appliances in managing Class II malocclusions.