Related Experiment Video
Updated: Mar 20, 2026

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
Predicting the adoption of evidence-based practice using "Rogers diffusion of innovation model"
Shahzad Pashaeypoor1, Tahereh Ashktorab2, Maryam Rassouli2
1a Department of Nursing , School of Nursing and Midwifery, Tehran University of Medical Sciences , Tehran , Iran.
Introduction:
Predicting the significant determinants of adopting evidence-based practice (EBP) by nursing students has received little attention in the nursing education literature. The purpose of this study was to investigate the predictors of EBP adoption among Iranian nursing students and to evaluate the fitness of the research model derived from Rogers' model.
Methods:
The study was a cross-sectional survey of 170 nursing students. A path analysis was conducted to predict the determinants of EBP in nursing students. Also, direct and indirect effects of the variables were calculated.
Results:
The results indicated that knowledge of EBP as well as its perceived complexity, observability and trialability significantly predicted the adoption of EBP. Among the variables, knowledge of EBP had the greatest total impact on the adoption of EBP (P < .05). Also, the results of indices (χ(2) = 30.06, P = .000; GFI = 0.96; CFI = 0.97; RMSEA = 0.11) indicated an adequate model fit to the data.
Conclusion:
Nursing educators can identify the predictors of EBP in order to enhance the education and adoption of EBP. The results of this study can be used by health professionals such as nursing managers and educators for teaching any new concept in clinical and educational settings such as EBP.
More Related Videos
06:16Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
Published on: June 6, 2020
05:47Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Related Concept Videos
Current Trends in Nursing II
Social Proof
Models of Health Promotion and Illness Prevention I
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
Models of Health Promotion and Illness Prevention II
The agent-host-environment model states that disease results...
Persuasion Strategies
Community Based Intervention
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...