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Total fertility rate relates to the number of children that a woman bears in the fertility period of her life. Fertility function is one of the most important health and population indicators. This indicator affects social, health, economic and cultural factors. This study is an ecological or correlative one. Factors affecting total fertility rate in Iran in the year 2000 are studied in this paper. The factors include coverage of women with focus on higher education, infant mortality rate (under 1 year), women’s occupation rate, urbanity ratio, mean age in the first marriage of women in the age group 15 to 49 years as per the last census in Iran in 2000 in 26 provinces. The direct and indirect effects of these factors on total fertility rate, with emphasis on path analysis have been determined. Data analysis shows that women's occupation rate is the most important factor in decreasing total fertility rate. Higher education of women is also an important element in this regard. Therefore increase in the number of women with university education not only decreases the total fertility but also increases the occupation of women.

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Background & Aim: Evidence-based practice (EBP) education is essential in nursing education. Therefore, identifying factors influencing nurses' adoption of EBP is very important to perform optimum quality nursing interventions. The aim of present study was to determine the factors affecting the adoption of EBP based on Rogers' diffusion of innovations models in nurses.

Methods & Materials: This was a descriptive–analytical study. The research subjects were 130 nurses who worked in the hospitals affiliated to Tehran University of Medical Sciences in 2014. The research instruments were four questionnaires including demographic data; knowledge, attitude and the adoption of EBP; individual innovation and perceived attributes of EBP. Data were analyzed by descriptive and inferential statistics (Pearson correlation coefficient and path analysis) on SPSS v.19 and EQS.

Results: The study findings showed that age and the working experiences of nurses had significant inverse relationships with knowledge of EBP (r=-0.809, r=-0.805). There was a direct relationship between individual innovation and knowledge (r=0.776). In addition, knowledge not only had a significant direct relationship with the adoption of EBP but also had the greatest impact on the adoption of EBP compared to other variables of model (r=0.937). Perceived attributes of EBP had significant direct relationships with attitude and the adoption of EBP (r=0.898, r=0.888 respectively). Attitude toward EBP also had a direct and significant relationship with the adoption of EBP (r=0.869). The results of the path analysis indicated the model variables to have an optimal fit (P<0.001).

Conclusion: The results of this study identify the factors affecting the adoption of EBP. Determining these factors can be an effective step to more adopt it in clinical environments.