Objectives This study aimed to investigate the combined effects of individual, household, and community-level factors on coronavirus disease 2019 (COVID-19) vaccination intention using a multilevel analysis. Methods: This cross-sectional study analyzed raw data from the 2021 Korea Community Health Survey and regional statistics from 255 health centers, with a final sample of 229,216 individuals. Multilevel analysis was conducted, focusing on individual, household, and community-level factors. Individual-level factors included demographics, health status, and COVID-19 concerns; household-level factors included income and marital status; and community-level factors included city type and vaccination rates. Results: At the individual level, significant differences were observed across all variables. At the household level, higher vaccination intention was associated with households of 4 or more members and a monthly income of 4 million Korean won or more. At the community level, higher flu vaccination rates, greater concern about COVID-19 infection, and higher COVID-19 vaccination rates were linked to increased vaccination intention. Conclusion: This study highlights that COVID-19 vaccination intention is influenced by factors at the individual, household, and community levels. Vaccination strategies that integrate household and community-level approaches may be more effective. Policymakers should consider both individual and social health factors when designing vaccination policies.
Objectives
Nurses have been identified as an instrumental partner in tobacco reduction. This study aimed to examine factors affecting Korean nurses' intention to implement smoking cessation intervention in Busan, Korea. Methods
The participants were a total of 215 Korean registered nurses. A self-administered questionnaire evaluated predisposing factors, motivational factors (attitude, social influence, and self-efficacy) and intention to implement smoking cessation intervention. Data were analyzed by <i>t</i> tests, Pearson's correlation, and hierarchical multiple regression. Results
The mean age of the participants was 28.12 ± 5.72 years. The majority of the participants were staff nurses (85.6%), and 64.2% of the sample had < 5 years of work experience. Significant predictors of intention to implement smoking cessation intervention included perceived barrier of smoking cessation intervention (β = −0.128, <i>p</i> = 0.023), willingness to receive smoking cessation training (β = 0.123, <i>p</i> = 0.034), more positive attitude (β = 0.203, <i>p</i> = 0.002), higher social influence (β = 0.292, <i>p</i> < 0.001), and higher self-efficacy toward smoking cessation intervention (β = 0.151, <i>p</i> = 0.021), which explained 45% of the total variance of intention to implement smoking cessation intervention. Conclusion
Attitude, social influence, and self-efficacy towards smoking cessation intervention had a significant positive influence in determining the intention to implement smoking cessation intervention. These findings can be used to develop evidence-based smoking cessation training programs for nurses in Korea. The programs should aim for positive attitude, higher social influence, and higher self-efficacy in hospital settings.
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Objectives
To investigate the factors affecting employees' knowledge sharing intention, knowledge sharing behavior, and innovation behavior of the four top-ranked university hospitals in South Korea. Methods
Data were collected from employees at three university hospitals in Seoul, Korea and one university hospital in Gyeonggi-Do, Korea through self-administered questionnaires. The survey was conducted from May 29, 2013 to July 17, 2013. A total of 779 questionnaires were analyzed by SPSS version 18.0 and AMOS version 18.0. Results
Factors affecting hospital employees' knowledge sharing intention, knowledge sharing behavior, and innovation behavior are reciprocity, behavioral control, and trust. Conclusion
It is important to select employees who have a propensity for innovation and continuously educate them about knowledge management based on trust.
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