11 research outputs found

    Social Accountability in Nursing Education: A Necessary Yet Neglected Issue

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    Background: Evidence-Based Practice (EBP) is one of the nursing professional roles that can lead them to provide the best and more effective care. However, no studies are available on nursing students’ competencies in EBP. Objectives: This study aimed to investigate the nursing students’ knowledge, attitude and intention to implement EBP and its related factors in two nursing and midwifery faculties in Tehran, Iran. Materials and Methods: In this cross-sectional study, 170 undergraduate nursing students were selected from two faculties of nursing and midwifery in Tehran, Iran. A census sampling method was applied and they were all before graduation in 2013. The Rubin and Parrish questionnaire was used to assess the students’ knowledge, attitude and intention to implement EBP as well as factors affecting the implementation of EBP. Students completed the instrument through self-report. Descriptive statistics, Independent sample t-test and Pearson correlation coefficient were used to analyze the data. Results: The students mean scores of knowledge, attitude and intention to implement EBP was 31.08 ± 5.77, 50.40 ± 9.58, 36.01 ± 4.64, respectively. The students’ age was inversely correlated with their scores of knowledge, attitude and intention to use EBP (P < 0.05). However, the students’ GPA was in direct association with their knowledge, attitude and intention to implement EBP (P < 0.05). No significant differences were observed between the males and females mean scores in the three subscales. However, significant differences were found between the students mean scores in the two subscales of knowledge and attitudes toward EBP in terms of familiarity with statistics and research methods (P < 0.05). Neither familiarity with research methods nor familiarity with EBP could significantly affect the students’ intention to implement EBP. Conclusions: The present study showed that nursing students have not a high mean score in the three subscales of knowledge, attitude and intention to implement EBP. It is essential for faculties and nurse managers not only to focus on education of EBP, but also to support nurses and nursing students to implement it in the process patient care

    Directed qualitative content analysis: the description and elaboration of its underpinning methods and data analysis process

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    Author's accepted version (post-print).Qualitative content analysis consists of conventional, directed and summative approaches for data analysis. They are used for provision of descriptive knowledge and understandings of the phenomenon under study. However, the method underpinning directed qualitative content analysis is insufficiently delineated in international literature. This paper aims to describe and integrate the process of data analysis in directed qualitative content analysis. Various international databases were used to retrieve articles related to directed qualitative content analysis. A review of literature led to the integration and elaboration of a stepwise method of data analysis for directed qualitative content analysis. The proposed 16-step method of data analysis in this paper is a detailed description of analytical steps to be taken in directed qualitative content analysis that covers the current gap of knowledge in international literature regarding the practical process of qualitative data analysis. An example of “the resuscitation team members' motivation for cardiopulmonary resuscitation” based on Victor Vroom's expectancy theory is also presented. The directed qualitative content analysis method proposed in this paper is a reliable, transparent, and comprehensive method for qualitative researchers. It can increase the rigour of qualitative data analysis, make the comparison of the findings of different studies possible and yield practical results.acceptedVersio

    Reactive Compatibilization of Polymer Blends

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    Interphase and Compatibilization by Addition of a Compatibilizer

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    Polymer Blends: Introduction

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