ABSTRACT
The purpose of this study was to obtain a more comprehensive understanding of critical thinking within the clinical nursing context. In this review, we addressed the following specific research questions: what are the levels of critical thinking among clinical nurses?; what are the antecedents of critical thinking?; and what are the consequences of critical thinking? A narrative literature review was applied in this study. Thirteen articles published from July 2013 to December 2019 were appraised since the most recent scoping review on critical thinking among nurses was conducted from January 1999 to June 2013. The levels of critical thinking among clinical nurses were moderate or high. Regarding the antecedents of critical thinking, the influence of sociodemographic variables on critical thinking was inconsistent, with the exception that levels of critical thinking differed according to years of work experience. Finally, little research has been conducted on the consequences of critical thinking and related factors. The above findings highlight the levels, antecedents, and consequences of critical thinking among clinical nurses in various settings. Considering the significant association between years of work experience and critical thinking capability, it may be effective for organizations to deliver tailored education programs on critical thinking for nurses according to their years of work experience.
ABSTRACT
PURPOSE: The purpose of this study was to examine social capital and health-related quality of life (HRQoL) of residents who were living in the three regions(Masan, Jinhae, and Changwon) of integrated Changwon and to analyze the effect of social capital on HRQoL. METHODS: This study used the Masan, Jinhae and Changwon data of the 2013 Community Health Survey. The social capital questionnaire consisted of three subdomains (trust, participation, and network). HRQoL was measured with the Korean-version EQ-5D. The effect of social capital on HRQoL was analyzed using multiple regression with controlling for general characteristics and health behavior. RESULTS: The trust level of Masan citizen was highest among the three regions. Jinhae citizen showed the highest level of participation and network out of the three regions. Trust was not a significant influencing factor in any of the three models. Participation was a significant influencing factor in all of the three models. Network was a significant influencing factor only in the Masan model. CONCLUSION: Participation was the most important factor for health among the three social capital subdomains. Strategies for encouraging social participation are needed for health promotion for the residents of integrated Changwon.