Predictors of Child Abuse Among School Going Children and the Impact of Structural Training on Child Abuse Among School Teachers

Child abuse stands as a global public health crisis, impeding the natural growth and development of children. The repercussions of abuse extend beyond immediate trauma, resulting in heightened medical costs and enduring health consequences that may persist into adulthood. These consequences encompass a spectrum of issues, including attachment disorders, behavioral abnormalities, depression, post-traumatic stress disorder, altered neurobiological structures, suicidal ideation, risky sexual practices, and susceptibility to sexually transmitted infections. The detrimental impact of any form of child abuse lingers into the adult lives of affected individuals. This study aims to determine the Predictors of Child Abuse among School Going Children and the Impact of Structural Training on Child Abuse Among School Teachers of Dhulikhel Municipality in selected schools of Dhulikhel Municipality. Employing descriptive-analytical, true-experimental, and qualitative research designs, the study involves children aged ≥ 11 and teachers across diverse schools. A purposeful sample technique will be used to select teachers to explore school teachers' strategies in supporting students experiencing childhood violence. A simple stratified sampling technique will be used to select schools and a simple random sampling technique will be used to select the required number of students. Subsequently, one group of teachers undergoes comprehensive training on child protection recognition and response, while another does not. Following a two-week intervention, Investigators will conduct a posttest to evaluate teachers' knowledge and attitudes. To ensure clarity, both standard and self-constructed research tools will be translated into Nepali. Subsequently, these tools will be employed for data collection. The gathered information will be entered into an Excel datasheet and later transferred to Stata version 13 for a comprehensive analysis involving both descriptive and inferential statistics.