PURPOSE: The purpose of this study was to explain a structural model of posttraumatic growth among psychiatric nurses based on existing models and a literature review and verify its effectiveness.METHODS: Data were collected from psychiatric nurses in one special city, four metropolitan cities, and three regional cities from February to March 2016. Exogenous variables included hardiness and distress perception, while endogenous variables included self-disclosure, social support, deliberate rumination, and posttraumatic growth. Data from 489 psychiatric nurses were analyzed using IBM SPSS Statistics 19.0 and AMOS 20.0.RESULTS: The modified model was a good fit for the data. Tests on significance of the pathways of the modified model showed that nine of the 14 paths were supported, and the explanatory power of posttraumatic growth by included variables in the model was 69.2%. For posttraumatic growth among psychiatric nurses, deliberate rumination had a direct effect as the variable that had the largest influence. Indirect effects were found in the order of hardiness, social support, and distress perception. Self-disclosure showed both direct and indirect effects.CONCLUSION: A strategy to improve deliberate rumination is necessary when seeking to improve posttraumatic growth among psychiatric nurses. Enhancing psychiatric nurses' hardiness before trauma would enable them to actively express negative emotions after trauma, allowing them to receive more social support. This would improve deliberate rumination and consequently help promote psychological growth among psychiatric nurses who have experienced trauma.
Models, Structural ; Psychiatric Nursing

nursing home–acquired pneumonia (NHAP). We found factors associated with the use of inappropriate antibiotics in patients with pneumonia admitted to the ICU via the emergency room (ER).METHODS: We performed a retrospective cohort study of 83 pneumonia patients with confirmed causative bacteria admitted to ICUs via ER March 2015–May 2017. We compared clinical parameters, between patients who received appropriate or inappropriate antibiotics using the Mann-Whitney U, Pearson's chi-square, and Fisher's exact tests. We investigated independent factors associated with inappropriate antibiotic use in patients using multivariate logistic regression.RESULTS: Among 83 patients, 30 patients (36.1%) received inappropriate antibiotics. NHAP patients were more frequently treated with inappropriate antibiotics than with appropriate antibiotics (47.2% vs. 96.7%, p<0.001). Methicillin-resistant Staphylococcus aureus was more frequently isolated from individuals in the inappropriate antibiotics–treated group than in the appropriate antibiotics–treated group (7.5% vs. 70.0%, p<0.001). In multivariate analysis, NHAP was independently associated with the use of inappropriate antibiotics in patients with pneumonia admitted to the ICU via ER.CONCLUSION: NHAP is a risk factor associated with the use of inappropriate antibiotics in patients with pneumonia admitted to the ICU via the ER.]]>
Anti-Bacterial Agents ; Bacteria ; Cohort Studies ; Critical Care ; Emergency Service, Hospital ; Hospitals, Teaching ; Humans ; Intensive Care Units ; Logistic Models ; Methicillin-Resistant Staphylococcus aureus ; Multivariate Analysis ; Nursing ; Pneumonia ; Retrospective Studies ; Risk Factors

PURPOSE: This study aimed to investigate the status of caffeine-containing energy drink consumption among Korean nursing students and to identify associated psychological factors. METHODS: In total, 187 Korean nursing students participated in this cross-sectional study. A self-administered questionnaire was used to identify participants' general characteristics and psychosocial factors (self-esteem, academic stress, depression, and college adjustment) associated with energy drink consumption. Data were analyzed with SPSS using descriptive statistics, the χ² test, the t-test, and logistic regression. RESULTS: More than two-thirds (73.3%) of the participants had consumed energy drinks. Among the investigated psychological factors, depression appeared to most strongly influence energy drink consumption behaviors in this population. CONCLUSION: The consumption of caffeine-containing energy drinks was found to be common among nursing students preparing to become health care professionals; depressed nursing students were more likely to have consumed energy drinks than non-depressed students. Nursing educators should emphasize the early detection of unhealthy beverage consumption habits and provide appropriate education to enhance healthy behaviors in future health care professionals.
Beverages ; Cross-Sectional Studies ; Delivery of Health Care ; Depression ; Education ; Energy Drinks* ; Humans ; Logistic Models ; Nursing* ; Psychology* ; Students, Nursing*

PURPOSE: The purpose of this study was to identify factors affecting communication ability of nursing students.METHODS: The participants were 140 students in nursing college at the G city. The data were collected using online-questionnaires from July 4 to July 10 2018 and analyzed using descriptive statistics, t-test, Pearson correlation analysis and multiple linear regression analysis with SPSS 20.0 program.RESULTS: The results show that communication ability was statistically significant according to self-awareness, other-awareness, empathy. Multiple regression analysis found that the factors influencing communication ability of nursing students were empathy(β=.540), self-awareness(β=.429), other-awareness(β=.375). These variable factors explained community ability as 46.3%.CONCLUSIONS: This study suggests that empathy, self-awareness, other-awareness are significant factors of communication ability of nursing students. Therefore, strategies to improve communication ability of nursing students should be developed with consideration for empathy, self-awareness, other-awareness.
Communication ; Empathy ; Humans ; Linear Models ; Nursing ; Residence Characteristics ; Students, Nursing

PURPOSE: The purpose of this study was to identify the risk factors for falls in tertiary hospital inpatients and to suggest data for developing a nursing intervention program for preventing falls.METHODS: Data were collected between January 1, 2017, to December 31, 2017. Kaplan-Meier estimation was used to measure the survival rate, and the log-rank test was used for the differences between the fall group and the non-fall group. The Cox proportional hazards model was used to identify the risk factors for falls.RESULTS: The incidence rate of falls for the inpatients was 1.2 cases per 1,000 days of hospitalization. The risk factors for falls were more likely to be found among those who were aged ≥81, had not undergone surgery, had poor joint motion, had unsteady gait, needed help or supervision, used assistive devices, had comorbidity, and took at least two drugs.CONCLUSION: For the inpatients, the risk factors for falls included age, surgery, comorbidity, medication that could change mobility, joint motion, and use of patient care equipment. It is necessary to give special attention to inpatients who have any of these risk factors and to develop a falls risk assessment tool.
Accidental Falls ; Comorbidity ; Gait Disorders, Neurologic ; Hospitalization ; Humans ; Incidence ; Inpatients ; Joints ; Nursing ; Organization and Administration ; Patient Care ; Proportional Hazards Models ; Risk Assessment ; Risk Factors ; Self-Help Devices ; Survival Analysis ; Survival Rate ; Tertiary Care Centers

PURPOSE: The purpose of this study was to identify status and characteristics of patients who have been readmitted to ICU, and to analyze risk factors associated with the readmission to ICU within 48hours.METHODS: Data were collected from patient's electronic medical reports from one hospital in B city. Participants were 2,937 patients aged 18 years old or older admitted to the ICU. Data were analyzed using odd ratios (ORs) from multivariate logistic regressions.RESULTS: 2.2% of the 2,937 patients were early readmitted to ICU. Risk factors for early readmission to ICU were existence of respiratory disease, use of mechanical ventilator, and duration of hospitalization (longer).CONCLUSION: The assessment on the respiratory system of the patient who will be discharged from the ICU was identified as an important nursing activity. Therefore, the respiratory system management and education should be actively conducted. In addition, early ICU readmission may be prevented and decreased if a link was built to share the information on patient condition between the ICU and general wards.
Critical Care ; Education ; Hospitalization ; Humans ; Intensive Care Units ; Logistic Models ; Nursing ; Patient Readmission ; Patients' Rooms ; Respiratory System ; Risk Factors ; Ventilators, Mechanical

PURPOSE: This study was conducted to identify and analyze the trends of theory-based research published in Asian Oncology Nursing (AON) from 2011 to 2017. METHODS: We analyzed 22 theory-based studies taken from among the 232 studies published in AON for 7years. We analyzed the framework developed by researchers, descriptive summaries of theory, keyword classification of nursing meta-paradigms, the generic character of the studies, and the type of research designs. RESULTS: A total of 23 theories were applied in the 22 (9.5%) studies. ‘Nursing’ was the most prevalent field of study (34.8%). In the field of study of theory, nursing theory was the largest with eight (34.8%), and in the method of theory utilization, all 22 studies were theoretical applications 3 middle-range theories were most prevalent. In the keyword classification using meta-paradigm in nursing, we found 83 key words. Among them, ‘Health’ related key words were most frequent (53), followed by ‘Cancer’ keywords (13). CONCLUSION: AON has a high ratio of theoretical study compared to other journals, but the ratio is still less than 10%, which is still weak. Therefore, it is believed that the attention to, utilization of, application, and institutional establishment of nursing theory should be necessary.
Asian Continental Ancestry Group ; Classification ; Humans ; Methods ; Models, Theoretical ; Nursing ; Nursing Theory ; Oncology Nursing ; Research Design

PURPOSE: Patient-centered care is a widely utilized concept in nursing and health care. However, the key components of patient-centered nursing have not yet been reported. Moreover, previous studies on patient-centered care have mostly focused on components of nursing rather than organizational factors. Therefore, a comprehensive understanding of influential factors of patient-centered care is required. METHODS: The purpose of this study was to develop a theoretical model based on person-centered care theory, and the relevant literature and to test the developed model with covariance structure analysis in order to determine the causal paths among the variables. RESULTS: The model fit indices for the hypothetical model were suitable for the recommended level (goodness of fit index=.87, standardized root mean residual=.01, root mean square error of approximation=.06, Tucker-Lewis index=.90, comparative fit index=.92, parsimonious normed fit index=.75). In this study, five of the six paths established in the initial hypothetical model were supported. The variables of teamwork, self-leadership, and empathy accounted for 56.4% of hospital nurses' patient-centered care. Among these, empathy was the strongest predictor of patient-centered care. CONCLUSION: These results suggest that it is necessary to use strategies to improve self-leadership and empathy. In addition to enhancing the personal factors of nurses, nursing organizations should strive for effective multidisciplinary cooperation with active support for patient-centered care and openness to change.
Delivery of Health Care ; Empathy ; Humans ; Korea ; Leadership ; Models, Theoretical ; Nursing ; Organizational Culture ; Patient-Centered Care

BACKGROUND: Quality ratings could provide vital information to help people in choosing a nursing home. PURPOSE: This study investigated factors aligned with quality ratings of nursing homes. METHODS: We employed a cross-sectional descriptive design to assess publicly available data on 1,354 nursing homes with 30 or more beds in the Republic of Korea. After excluding 289 nursing homes with no reported quality-evaluation ratings, we analyzed the 2015 data of 1,065 nursing homes. To prevent multicollinearity among independent variables, we carefully selected the final set of variables based on clinical and theoretical meaningfulness to direct nursing care. Quality, the ordinal outcome, was scored from 1 to 5 with a higher score indicating higher quality of the organization. We constructed a multivariate ordered logistic regression model. RESULTS: Higher quality ratings of nursing homes was significantly related to the number of unoccupied beds (OR=0.99, p=.024), registered nurses (RNs) (OR=1.30, p=.003), qualified care workers (OR=1.03, p=.011), cognitive-improvement programs (OR=1.05, p=.024), and other programs for residents' activities (OR=1.09, p<.001). CONCLUSION: The number of RNs had the strongest influence on the publicly reported quality rating, while the rating of qualified care workers demonstrated little effect and that of nursing assistants had no effect. The number of RNs could be used as a crucial indicator for high-quality homes; more resident-engaging programs also demonstrated better quality of nursing home care.
Humans ; Korea ; Logistic Models ; Nurses ; Nursing Care ; Nursing Homes ; Nursing ; Quality of Health Care ; Republic of Korea

PURPOSE: The purpose of this study was to identify predictors of eating disorders in adolescents with type 1 diabetes, with the goal of providing data in support of nursing interventions to improve their health.METHODS: A total of 136 adolescents aged 13–18 years with type 1 diabetes completed the Diabetes Eating Problem Survey-Revised, Rosenberg Self-Esteem Scale, and the Beck Depression Inventory-II, using structured self-reported questionnaires. The collected data were analyzed using the t-test, χ² test, and binominal logistic regression with SPSS version 23.0 for Windows.RESULTS: The prevalence of eating disorders in adolescents with type 1 diabetes was 39%. Four significant predictors of eating disorders were identified; absence of body satisfaction (odds ratio [OR]=3.87, 95% confidence interval [CI]=1.55~9.65), depression (OR=2.87, 95% CI=1.13~7.28), female gender (OR=2.67, 95% CI=1.09~6.54), and glycosylated hemoglobin type A1c levels (OR=1.47, 95% CI=1.10~1.97).CONCLUSION: In order to prevent eating disorders among adolescents with type 1 diabetes, programs for managing adolescents' depression and improving their body satisfaction should be developed. Futhermore, more attention should be directed towards programs aiming to prevent eating disorders in female adolescents.
Adolescent ; Body Image ; Depression ; Diabetes Mellitus, Type 1 ; Eating ; Female ; Hemoglobin A, Glycosylated ; Humans ; Logistic Models ; Nursing ; Prevalence