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Application of BASNEF Model in Prediction of Intimate Partner Violence (IPV) Against Women
Zahra Sadat Asadi,Vahideh Moghaddam Hosseini,Masumeh Hashemian,Arash Akaberi 숙명여자대학교 아시아여성연구원 2013 Asian Women Vol.29 No.1
Although some studies have been carried out about Intimate Partner Violence (IPV) in Iran, little is still known about some predictors such as attitudes, subjective norms and other factors in IPV. Intimate partner violence refers to behaviors that harm physically, socially, and psychologically, including physical aggression, sexual coercion, psychological abuse, and controlling behaviors. In order to understand the factors that contribute to IPV with the ultimate goal of conducting primary prevention interventions, we examined one of the health education and health promotion models: the BASNEF (Belief, Attitudes, Subjective Norm, and Enabling Factors) model as a predictor of IPV against women who were referred to health centers. Data were collected through a questionnaire based on the BASNEF model and the Conflict Tactics Scales. Data were analyzed by descriptive and analytical statistics including Pearson Correlation and Structural Equation Modeling (SEM). Amos software was applied to Structural Equation Modeling. Descriptive and other analyses were performed by SPSS. The significance level was set at 0.05. The findings of the present study indicate that this model predicts IPV partly. Women’s and men’s education levels were related to violence: women with less than seven years education experienced more IPV and women with less educated husbands experienced more violence. Due to the importance of understanding the IPV for health education and health promotion designs, more qualitative and quantitative studies are suggested.
Aghaei Hamed,Sadat Asadi Zahra,Mirzaei Aliabadi Mostafa,Ahmadinia Hassan 대한예방의학회 2020 Journal of Preventive Medicine and Public Health Vol.53 No.6
Objectives: The aim of the present study was to investigate the relationships among hospital safety climate, patient safety climate, and safety outcomes among nurses. Methods: In the current cross-sectional study, the occupational safety climate, patient safety climate, and safety performance of nurses were measured using several questionnaires. Structural equation modeling was applied to test the relationships among occupational safety climate, patient safety climate, and safety performance. Results: A total of 211 nurses participated in this study. Over half of them were female (57.0%). The age of the participants tended to be between 20 years and 30 years old (55.5%), and slightly more than half had less than 5 years of work experience (51.5%). The maximum and minimum scores of occupational safety climate dimensions were found for reporting of errors and cumulative fatigue, respectively. Among the dimensions of patient safety climate, non-punitive response to errors had the highest mean score, and manager expectations and actions promoting patient safety had the lowest mean score. The correlation coefficient for the relationship between occupational safety climate and patient safety climate was 0.63 (p<0.05). Occupational safety climate and patient safety climate also showed significant correlations with safety performance. Conclusions: Close correlations were found among occupational safety climate, patient safety climate, and nurses’ safety performance. Therefore, improving both the occupational and patient safety climate can improve nurses’ safety performance, consequently decreasing occupational and patient-related adverse outcomes in healthcare units.