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Aim: Although relationships among positive psychological capital (PsyCap), compassion fatigue, compassion satisfaction, and burnout have been reported, causal relationships among these variables have not been identified. This study examined the influence of positive PsyCap on burnout and confirmed the mediating effects of compassion fatigue and satisfaction among public hospital nurses. Methods: This study adopted a correlational cross‐sectional design. We recruited 237 nurses working at a public hospital, using convenience sampling. Results: The fit of the hypothetical model was adequate. Positive PsyCap directly affected compassion fatigue and satisfaction, and burnout. It had an indirect effect on burnout. Compassion fatigue and satisfaction directly affect burnout. This finding indicates that compassion fatigue and satisfaction partially mediate between positive PsyCap and burnout. In addition, the mediating effect of compassion fatigue was greater than that of compassion satisfaction on the relationship between positive PsyCap and burnout. Finally, positive PsyCap, compassion fatigue, and compassion satisfaction explained 70.4% of the total variance in burnout scores. The effect size (f2) was 2.38 (large effect size). Conclusions: Burnout should be assessed with positive PsyCap, compassion fatigue, and compassion satisfaction among public hospital nurses. Given that the mediating effect of compassion fatigue was greater than that of compassion satisfaction, interventions for compassion fatigue may be a strategy to reduce burnout, especially among public hospital nurses with low levels of positive PsyCap. [ABSTRACT FROM AUTHOR]

This study aimed to test a hypothetical path model estimating the influence of Type D personality on health-promoting behaviors (HPB), subjective health status, and quality of life (QoL) in university students, and to verify the mediating effects of HPB and subjective health status between Type D personality and QoL. A structural equation model involving 380 university students was used. Data were collected between November and December 2018 via structured questionnaires and analyzed using SPSS 25.0 and Amos 23.0. The model's fit indices were adequate. Type D personality had a direct effect on QoL and an indirect effect on QoL via HPB and subjective health status. Type D personality, HPB, and subjective health status explained 67.6% of the total variance in QoL. Intervention programs that consider Type D personality, HPB, and subjective health status may be useful to improve university students' QoL.

The aim of this study was to identify the association between type D personality and smoking cessation among high school students who had participated in a stop smoking program. From 27 high schools, we recruited 279 smoking students who had participated in a stop smoking program between May 29, 2015, and January 25, 2016. About 26.5% of participants had a type D personality. A logistic regression analysis revealed that initiating smoking before or during 5th grade, smoking 21 or more cigarettes daily, and having a type D personality were significantly related to smoking cessation failure. Type D personality was significantly associated with social nicotine dependency and was a predictor of smoking cessation failure after a stop smoking program. Accordingly, type D personality should be considered along with other smoking-related factors when attempting to promote smoking cessation among high school adolescents.

Introduction: Inpatients need to recognize their fall risk accurately and objectively. Nurses need to assess how patients perceive their fall risk and identify the factors that influence patients' fall risk perception. Purpose: This study aims to explore the congruency between nurses' fall risk assessment and patients' perception of fall risk and identify factors related to the non‐congruency of fall risk. Designs: A descriptive and cross‐sectional design was used. The study enrolled 386 patients who were admitted to an acute care hospital. Six nurses assessed the participants' fall risk. Congruency was classified using the Morse Fall Scale for nurses and the Fall Risk Perception Questionnaire for patients. Findings: The nurses' fall risk assessments and patients' fall risk perceptions were congruent in 57% of the participants. Underestimation of the patient's risk of falling was associated with gender (women), long hospitalization period, department (orthopedics), low fall efficacy, and history of falls before hospitalization. Overestimation of fall risk was associated with age group, gender (men), department, and a high health literacy score. In the multiple logistic regression, the factors related to the underestimation of fall risk were hospitalization period and department, and the factors related to the overestimation of fall risk were health literacy and department. Conclusions: Nurses should consider the patient's perception of fall risk and incorporate it into fall prevention interventions. Clinical Relevance: Nurses need to evaluate whether patients perceive the risk of falling consistently. For patients who underestimate or overestimate their fall risk, it may be helpful to consider clinical and fall‐related characteristics together when evaluating their perception of fall risk. [ABSTRACT FROM AUTHOR]

The aim of this study was to identify smoking cessation failure subgroups among Korean adolescents. Participants were 379 smoking adolescents who joined a smoking cessation program. A questionnaire and a cotinine urine test were administered before the program began. Three months after the program ended, the cotinine urine test was repeated. A decision-tree model identified seven subgroups with low or high smoking cessation rates. The predictors of smoking cessation were intention to stop smoking, initiation of smoking, amount of cigarette use, self-efficacy, and paternal smoking status. The subgroup with the lowest smoking cessation rate included adolescents who did not have any intention to stop smoking and who had started smoking after eighth grade, and none of the participants in this group stopped smoking. The results of this study provide crucial information for tailored smoking cessation programs.

To develop and identify the effectiveness of a hospital-to-home transitional intervention based on an interaction model of client health behavior in adult patients with stroke. A non-equivalent control group pretest-posttest. Thirty-eight patients participated (18=intervention, 20=control); the intervention group received 12 weeks of the intervention. The intervention influenced anxiety, disease severity, health behavior adherence, patient satisfaction, and quality of life in adult patients with stroke. Transitional programs have potential to improve the health behaviors of subjects, and community health nurses can assist in the implementation of these programs. Health behaviors and quality of life scores were significantly higher in the intervention group than in the control group; these findings support the need for continuity of nursing care during the transitional period for patients with stroke. Given the challenges faced by adult stroke patients after stroke, community nurses should pay attention to patients' transitional experiences. [ABSTRACT FROM AUTHOR]

Background: Patients who had a stroke are required to manage risk factors, and self-management for risk factor control in stroke is essential. Recent studies using the information-motivation-behavioral skills model reported that the model is effective for predicting and explaining self-management behavior in chronically ill patients. Objectives: This study aimed to develop and verify the predictive model of self-management based on the information-motivation-behavioral skills model in patients with stroke. Methods: This was a descriptive, cross-sectional study; path analysis was conducted to develop and verify the hypothesized predictive model. We recruited 242 patients who had a stroke using convenience sampling from the neurological outpatient clinic. Results: The model's fit indices were adequate. Stroke self-management knowledge, social support, and self-efficacy had a direct effect on stroke self-management, and stroke self-management knowledge and attitude and social support had an indirect effect on stroke self-management, mediated by self-efficacy. Stroke self-management knowledge and attitude, social support, and self-efficacy explained 27.5% of the total variance in stroke self-management. Conclusions: The information-motivation-behavioral skills model is potentially a predictive model for self-management for patients who had a stroke. Considering the level of stroke knowledge and attitude, social support, and self-efficacy together may help to understand the required level of self-management. In addition, using this model for the development of self-management interventions for patients who had a stroke could be a strategy for improving self-management in patients with stroke. [ABSTRACT FROM AUTHOR]

Background: Although the optimal use of prescribed medications for stroke survivors is critical for preventing secondary stroke, longitudinal observations of the natural course of medication persistence and adherence in Korean stroke survivors are rare. Furthermore, studies are needed to identify strong predictors influencing medication adherence and to determine whether these predictors change over time. Aims and objectives: To evaluate the longitudinal medication persistence and adherence at 3 months and 1 year after discharge in all stroke patients and to identify predictors of long‐term medication adherence in patients who can self‐medicate. Design: A multicentre, prospective, longitudinal descriptive study. Methods: A total of 600 consecutive ischaemic stroke patients were recruited from three stroke centres across Korea, from 1 September, 2017 to 28 February, 2019. Various factors related to medication adherence suggested by the World Health Organisation were investigated through face‐to‐face interviews at each centre during hospitalisation. Medication persistence and adherence were assessed at 3 months and 1 year after discharge using the eight‐item Morisky Medication Adherence Scale through telephone interviews. Results: Of 537 survivors at 3 months, 526 (98.0%) were persistent and 472 (89.7%) were adherent. Of 493 survivors at 1 year, 477 (96.8%) were persistent and 392 (82.2%) were adherent. Medication belief, income and health literacy were statistically significant predictors of three‐month medication adherence, which predicted one‐year medication adherence with older age and low income. Conclusions: Among Korean stroke survivors, three‐month and one‐year medication persistence and adherence were relatively good. Medication beliefs and three‐month medication adherence were important and modifiable factors predicting three‐month adherence and one‐year adherence, respectively. Relevance to clinical practice: To increase long‐term adherence to medication, various strategies are needed to improve beliefs about medication, taking into account the patient's age and level of knowledge. These interventions need to be initiated during hospitalisation to form early medication habits after discharge. [ABSTRACT FROM AUTHOR]