Presenting a Model for Improving the Evaluation of Nursing Education in Islamic Azad University Units: An Exploratory Combined Study

Nursing is a complex word of medical sciences Failure to design appropriate and quality educational programs will cause irreparable damage to the health of the community, the academic credibility of the university and the graduates. The aim of this study was to provide a model for improving the evaluation of nursing education in Islamic Azad University.

The research method in this article is mixed (qualitative-quantitative) and first based on the qualitative method and specifically based on the grounded theory method and by conducting 21 interviews with subject experts who were selected by purposive sampling method, to extract and present a model In order to improve the evaluation of nursing education, and then in the quanitative stage, by compiling a researcher-made questionnaire based on the indicators of the qualitative stage 200 members of the Strategic Islamic Azad University Council, faculty members and nursing instructors of Nursing and Midwifery of the Islamic Azad University Faculty were selected by Cluster sampling that was appropriate to the size of the clusters (according to Klein's law).The reliability of the questionnaire was assessed through Cronbach's alpha and its face validity was assessed using expert opinions and the construct validity was evaluated using confirmatory factor analysis to determine the dimensions of the model.

Findings obtained in the qualitative section showed that the dimensions of improving the evaluation of nursing education in the units of Islamic Azad University include 6 dimensions; Improving the evaluation of nursing education (central phenomenon), causal conditions, contextual conditions, strategies, intervening factors and results and consequences and 17 components in Islamic Azad University. 

A model was presented to improve the evaluation of nursing education in the units of Islamic Azad University and the desirability and degree of appropriateness of the model was found to be appropriate and with 95% confidence Approved by experts.