Related Experiment Video
Updated: Feb 16, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Implementing a New Tool to Predict the Risk of Intimate Partner Violence in Rural China
Fengsu Hou1,2, Catherine Cerulli2, Hugh F Crean2
1Sun Yat-sen University, Guangzhou, China.
Abstract:
Most of current scales for assessing intimate partner violence (IPV) were developed for Western populations. The Chinese Risk Assessment Tool for Victims (CRAT-V) was a new scale evaluating the risk of IPV, which was developed based on Chinese populations in the context of Chinese culture. To determine whether the CRAT-V could add further value to research involving IPV and violence against women in rural China, we sought to implement the CRAT-V and to explore its factor structure among a rural population in the mainland of China. This study included women from rural Sichuan Province of China, who aged 16 years and older, had been living locally for at least 2 years, and reported that they were married or in a relationship in the preceding year. A total of 670 participants completed the CRAT-V during the field survey. We utilized exploratory factor analysis to validate the fact structure of CRAT-V. The Cronbach's alpha of the CRAT-V was 0.90, indicating good reliability. The CRAT-V reported that 45.07% (302/670) of participants were in risk of IPV, and the risk was higher in women who were 16 to 29 years old, having 7 years and higher education, and living in stem families. The CRAT-V fit a 5-factor model including healthy relationship, jealous feeling, jealous reaction, stressful living condition, and sexual abuse. Our findings provided support for using the CRAT-V as a culturally sensitive measure to predict the risk of experiencing IPV in China, and lend insights into factors that may contribute to timely IPV prevention and intervention.
Related Concept Videos
Nursing Implementation
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
Predicting Molecular Geometry
Relative Risk
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Factors Affecting the Risk of Infection
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...

