Purpose This study aimed to identify research trends related to emotional leadership among nurse managers by conducting a systematic literature review and meta-analysis. This study sought to derive insights that could contribute to improving emotional leadership in nursing practice. Methods A systematic review and meta-analysis were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) and Meta-Analysis Of Observational Studies in Epidemiology (MOOSE) guidelines. Databases including PubMed, Cumulative Index to Nursing and Allied Health Literature, Scopus, Web of Science, Research Information Sharing Service, Koreanstudies Information Service System, Korean Medical Database, KoreaMed, ScienceON, and DBpia were searched to obtain papers published in English and Korean. Literature searches and screenings were conducted for the period December 1, 2023 to December 17, 2023. The effect size correlation (ESr) was calculated for each variable and the meta-analysis was performed using the statistical software SPSS 29.0, R 4.3.1. Results Twenty-five (four personal, six job, and fifteen organizational) relevant variables were identified through the systematic review. The results of the meta-analysis showed that the total overall effect size was ESr = .33. Job satisfaction (ESr = .40) and leader-member exchange (ESr = .75) had the largest effect size among the job and organizational-related factors. Conclusion Emotional leadership helps promote positive changes within organizations, improves organizational effectiveness, and increases member engagement and satisfaction. Therefore, it is considered an important strategic factor in improving organizational performance.
Purpose This study aimed to identify changes in sleep patterns and fatigue levels during consecutive night shifts among shift nurses and to determine the association between sleep parameters and increased fatigue levels during work. Methods This prospective observational study employing ecological momentary assessments was conducted using data collected from 98 shift nurses working in Korean hospitals between June 2019 and February 2021. The sleep patterns were recorded using actigraphy. The participants reported their fatigue levels at the beginning and end of each night shift in real time via a mobile link. Linear mixed models were used for the analysis. Results Nurses spent significantly less time in bed and had shorter sleep durations during consecutive night shifts than on off-duty days, whereas their wake times after sleep onset were much longer on off-duty days than on on-duty days. Fatigue levels were higher on the second and third night-shift days than on the first night-shift days. A shorter time spent in bed and asleep was associated with a greater increase in fatigue levels at the end of the shift than at the beginning. Conclusion Nurses experience significant sleep deprivation during consecutive night shifts compared with off-duty days, and this sleep shortage is associated with a considerable increase in fatigue levels at the end of shifts. Nurse managers and administrators must ensure sufficient intershift recovery time during consecutive night shifts to increase the time spent in bed and sleeping.
Choi, Jeeeun , Lee, Sujin , Park, Eunjin , Ku, Sangha , Kim, Sunhwa , Yu, Wonhye , Jeong, Eunmi , Park, Sukhee , Park, Yusun , Kim, Hye Young , Kim, Sung Reul
J Korean Acad Nurs 2024;54(2):151-161. Published online May 31, 2024
Purpose Patients’ perception of fall risk is a promising new indicator for fall prevention. Therefore, a fall risk perception questionnaire that can be used rapidly and repeatedly in acute care settings is required. This study aimed to develop a short version of the fall risk perception questionnaire (Short-FRPQ) for inpatients. Methods For the psychometric measurements, 246 inpatients were recruited from an acute care hospital. The construct (using confirmatory factor analysis and discriminant validity of each item), convergent, and known-group validities were tested to determine the validity of the Short-FRPQ. McDonald’s omega coefficient was used to examine the internal consistency of reliability. Results In the confirmatory factor analysis, the fit indices of the Short-FRPQ, comprising 14 items and three factors, appeared to be satisfactory. The Short-FRPQ had a significantly positive correlation with the original scale, the Korean Falls Efficacy Scale-International, and the Morse Fall Scale. The risk of falls group, assessed using the Morse Fall Scale, had a higher score on the Short-FRPQ. McDonald’s omega coefficient was .90. Conclusion The Short-FRPQ presents good reliability and validity. As patient participation is essential in fall interventions, evaluating the fall risk perception of inpatients quickly and repeatedly using scales of acceptable validity and reliability is necessary.
Purpose This study aimed to investigate the influence of uncertainty-related factors on the health behavior of individuals with coronary artery disease (CAD) based on Mishel’s uncertainty in illness theory (UIT). Methods We conducted a cross-sectional study and path analysis to investigate uncertainty and factors related to health behavior. The study participants were 228 CAD patients who visited the outpatient cardiology department between September 2020 and June 2021. We used SPSS 25.0 and AMOS 25.0 software to analyze the data. Results The final model demonstrated a good fit with the data. Eleven of the twelve paths were significant. Uncertainty positively affected danger and negatively affected self-efficacy and opportunity. Danger had a positive effect on perceived risk. Opportunity positively affected social support, self-efficacy, perceived benefit and intention, whereas it negatively affected perceived risk. Social support, self-efficacy, perceived benefit and intention had a positive effect on health behavior. We found that perceived benefit and intention had the most significant direct effects, whereas self-efficacy indirectly affected the relationship between uncertainty and health behavior. Conclusion The path model is suitable for predicting the health behavior of CAD patients who experience uncertainty. When patients experience uncertainty, interventions to increase their self-efficacy are required first. Additionally, we need to develop programs that quickly shift to appraisal uncertainty as an opportunity, increase perceived benefits of health behavior, and improve intentions.
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Association between Coping Profiles and Cardiac Health Behavior among Patients with Coronary Artery Disease: A Latent Profile Analysis Yesul Lee, Yoonju Lee, Jeong Cheon Choe, Hyesun Jeong, Sunyoung Jung Korean Journal of Adult Nursing.2024; 36(3): 228. CrossRef
Purpose This study aimed to examine the predictive factors of COVID-19 vaccination behavior by evaluating the moderating effect of perceived behavioral control on the theory of planned behavior. Methods Data were collected from August 6 to August 31, 2022 from 235 college students (aged 20~29 years) across 12 universities using a structured web-based survey. Statistical analyses were conducted using the SPSS and AMOS software. Results Attitudes toward COVID-19 vaccination, subjective norms, and intention to be vaccinated significantly influenced COVID-19 vaccination behavior. Attitudes and subjective norms indirectly affected COVID-19 vaccination behavior through intention to vaccinate, whereas intention to vaccinate had a direct effect. The moderating effect of perceived behavioral control on the relationship between subjective norms and intention to vaccinate was significant. Conclusion Interventions that foster a positive attitude toward COVID-19 vaccination and bolster subjective norms and perceived behavioral control can boost the intention to be vaccinated and facilitate the uptake of COVID-19 vaccination.
Purpose The objective of this study was to develop a predictive model for the sexual experiences of adolescents using the random forest method and to identify the “variable importance.” Methods: The study utilized data from the 2019 to 2021 Korea Youth Risk Behavior Web-based Survey, which included 86,595 man and 80,504 woman participants. The number of independent variables stood at 44. SPSS was used to conduct Rao-Scott χ2 tests and complex sample t-tests. Modeling was performed using the random forest algorithm in Python. Performance evaluation of each model included assessments of precision, recall, F1-score, receiver operating characteristics curve, and area under the curve calculations derived from the confusion matrix. Results The prevalence of sexual experiences initially decreased during the COVID-19 pandemic, but later increased. “Variable importance” for predicting sexual experiences, ranked in the top six, included week and weekday sedentary time and internet usage time, followed by ease of cigarette purchase, age at first alcohol consumption, smoking initiation, breakfast consumption, and difficulty purchasing alcohol. Conclusion Education and support programs for promoting adolescent sexual health, based on the top-ranking important variables, should be integrated with health behavior intervention programs addressing internet usage, smoking, and alcohol consumption. We recommend active utilization of the random forest analysis method to develop high-performance predictive models for effective disease prevention, treatment, and nursing care.
Purpose Recent studies have focused on policies aimed at supporting the independence of individuals with disabilities in communities. As part of this initiative, supportive housing, integrated care, and residential spaces offer tailored services based on individual needs and autonomy. The attitudes and knowledge of the administrators supporting supportive housing residents regarding health management can influence the well-being of individuals with disabilities. Therefore, this study aimed to explore the challenges faced by supporting housing workers in enhancing the self-management skills of individuals with disabilities. Methods In this qualitative study, focus group interviews were conducted in August 2023 with nine administrators working to support housing in Seoul. Qualitative content analysis was used to analyze the interview data. Results The needs and challenges in enhancing the self-management skills of individuals with disabilities were as follows: (1) the complexity of health management challenges, (2) bidirectional strategies for strengthening health management capabilities, and (3) support for systematic health management. Additionally, eight subthemes were derived. Conclusion By investigating the difficulties experienced and identifying the necessary support requirements for supportive housing workers, this study seeks to uncover insights and identifies areas for improvement and strategies for health management. This study acknowledges the educational and institutional support necessary to improve the health and quality of life of individuals with disabilities residing in supportive housing.
Purpose This study aimed to evaluate the effects of a mobile-based breastfeeding promotion program (M-BFGDM) that helps mothers with gestational diabetes. Methods Forty-seven mothers participated in the study, of whom 22 were in the experimental group and 25 in the control group. To verify the effects, a lag design before and after the non-equivalence control group was used. The data collection for the experimental group was done before and after the intervention. Results In the results, breastfeeding knowledge showed a significant difference in the interaction between measurement period and group (χ2 = 8.14, p = .017), whereas breastfeeding intention did not show a significant difference in the interaction (χ2 = 4.73, p = .094). There was no difference in self-efficacy interaction (F = 0.13, p = .856). The breastfeeding method showed no difference in interaction (F = 0.04, p = .952), whereas cross-analysis showed a significant difference in breastfeeding practice rate between the experimental group and the control group at 1 month postpartum (χ2 = 7.59, p = .006). Conclusion A mobile-based breastfeeding promotion program was developed and applied for gestational diabetic mothers, resulting in an increase in breastfeeding knowledge and an improvement in breastfeeding practice rate one month after childbirth. In addition, M-BFGDM managed to create a breastfeeding practice environment with fewer time and place restrictions. A program study that complements motivation is needed to improve breastfeeding in pregnant diabetic mothers in the future.
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Purpose This study aimed to examine the adequacy of current nurse staffing levels by identifying nursing activities and workload. Methods The study used a mixed-method design. A nursing activity survey was conducted using the work sampling method over 2 working days with 119 general ward nurses. A focus group interview was conducted with 12 nurses. Quantitative and qualitative data were analyzed using SPSS 20.0 and content analysis, respectively. Results The most amount of time was spent on medication (in direct nursing) and electronic medical record documentation (in indirect nursing). The appropriate nurse-to-patient ratio is 1:7.7 for the day shift, 1:9.0 for the evening shift, and 1:11.9 for the night shift. However, the current nurse-to-patient ratio is 1:9.4, 1:11.0, and 1:13.8 for the day, evening, and night shifts, respectively. Therefore, the current nurse staffing level is insufficient for the workload. In the focus group interview, the main reasons cited for being unable to complete tasks within working hours were communication and coordination, and the nursing electronic medical record. The essential nursing activities of basic nursing and emotional support were overlooked owing to a heavy workload. Therefore, an adequate nurse staffing level should be higher than the measured quantitative workload. Conclusion These results suggest the general wards of tertiary hospitals should evaluate the adequacy of their current nurse staffing and allocate sufficient nurses to improve patient safety and nursing care quality.
Purpose This study aimed to develop an app-based self-management program based on the transtheoretical model (TTM) for breast cancer survivors’ exercise practice, as well as to investigate the program’s effects on the stage of change for exercise, exercise self-efficacy, exercise decisional balance, exercise amount, and body composition. Methods This non-randomized controlled study included 52 participants (26 in each of the experimental and control groups, respectively). An app-based self-management program based on the TTM was conducted with the experimental group for a 12-week period. The program comprised three components: individual coaching for each stage of change for exercise based on TTM, amount of exercise and body composition monitoring, and online self-help meetings. Results Compared with the control group, the experimental group had significantly higher stages of change for exercise (p < .001), exercise self-efficacy (p < .001), exercise decisional balance (p = .002), exercise amount (p < .001), and body composition (body weight [p = .006], body mass index [p = .005], and body fat percentage [p = .010]) immediately and four weeks after the intervention. Conclusion An appbased self-management program based on the TTM improves exercise behaviors in breast cancer survivors and provides physical benefits.
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Purpose This study aimed to investigate healthcare consumers’ interest in patient safety on social media using structural topic modeling (STM) and to identify changes in interest over time. Methods Analyzing 105,727 posts from Naver news comments, blogs, internet cafés, and Twitter between 2010 and 2022, this study deployed a Python script for data collection and preprocessing. STM analysis was conducted using R, with the documents’ publication years serving as metadata to trace the evolution of discussions on patient safety. Results The analysis identified a total of 13 distinct topics, organized into three primary communities: (1) “Demand for systemic improvement of medical accidents,” underscoring the need for legal and regulatory reform to enhance accountability; (2) “Efforts of the government and organizations for safety management,” highlighting proactive risk mitigation strategies; and (3) “Medical accidents exposed in the media,” reflecting widespread concerns over medical negligence and its repercussions. These findings indicate pervasive concerns regarding medical accountability and transparency among healthcare consumers. Conclusion The findings emphasize the importance of transparent healthcare policies and practices that openly address patient safety incidents. There is clear advocacy for policy reforms aimed at increasing the accountability and transparency of healthcare providers. Moreover, this study highlights the significance of educational and engagement initiatives involving healthcare consumers in fostering a culture of patient safety. Integrating consumer perspectives into patient safety strategies is crucial for developing a robust safety culture in healthcare.
Purpose This study aimed to develop a scale to measure hospital nurses’ silence behavior and examine its validity and reliability. Methods A total of 52 preliminary items on hospital nurses’ silence behavior were selected using a content validity test by seven experts on 53 candidate items derived from a literature review and in-depth interviews with 14 nurses. A total of 405 hospital nurses participated in a psychometric testing. Data analysis comprised item analysis, exploratory and confirmatory factor analyses, and convergent and discriminant validity tests. Pearson’s correlation coefficient was used for assessing concurrent validity, and Cronbach’s alpha was used for the reliability test. Results The final scale consisted of nine factors with 31 items, exhibiting acceptable model fit indices, convergent validity, and discriminant validity. The score of the entire scale was positively correlated with the ‘Organizational Silence Scale (OSS)-the issues on which nurses remain silent’ (r = .60, p < .001) and ‘OSS-the reasons why nurses remain silent’ (r = .68, p < .001). Cronbach’s α of the scale was .92, and α of each subscale ranged from .71 to .90. Conclusion The Hospital Nurses’ Silence Behavior Scale is a useful tool for assessing multifaceted silence behavior among nurses. It can provide basic data for developing better communication strategies among nurses and other hospital staff.
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