Özet:

Objective: The aim of this study is to analyze the knowledge levels and attitudes of nurses towards COVID-19 during the second peak period of the COVID-19 epidemic in Turkey, as well as to test the structural relationship between knowledge levels and attitudes with structural equation modeling. Materials and Methods: The hospital-based cross-sectional study design was employed in the study. The population of the research consisted of nurses working in three different private hospitals operating in Istanbul, which have international quality and accreditation certificates. The data were collected by the researchers themselves by using face-to-face and online survey techniques. The total number of questionnaires that were evaluated and used in the analysis of the data is 390. SPSS 26 and AMOS 24 package programs were used in the analysis of the data. The quantitative research method was used. Descriptive statistics, independent sample t-test, ANOVA test and structural equation modeling were applied to the data. Results: Structural equation analysis revealed the direct effect positively of the nurses' COVID-19 knowledge level on attitude toward COVID-19 have an acceptable index of fit Furthermore, the relationship between the level of knowledge toward COVID-19 and female gender was found to be significant. Conclusion: In general, the level of knowledge of the nurses participating in the study about COVID-19 was found to be high and it was observed that they had a more optimistic attitude towards preventing COVID-19 and keeping the process under control. An increase in knowledge about COVID-19 has led to an increase in the behavior of a more optimistic attitude towards prevention and control of COVID-19.

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