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

This study aims to determine Predictors of Child Abuse among School Going Children and 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 Study Population The participants-I Investigator purposefully selected teachers who are teaching in private and public schools of Dhulikhel municipality. The participants-II All children aged 11-18 years of age studying in different schools (public and private) of Dhulikhel Municipality. The participants-III Teachers are teaching in different schools in Dhulikhel Municipality which are selected by using a stratified random sampling technique.

Number of participants and Justification :

The first type of participants is 20-30 for focus group discussion. (3-5 group) The second type of participant is 421 students which is based on sample size calculation.

The Third type of participant is 206 teachers which is based on sample size calculation by taking 40% of the mean different knowledge score /SD to maintain optimum sample size.

Sampling Technique Sample-I Among the 26 schools, there are 8 private schools and 18 government schools. A stratified random sampling technique will be used to select 50% of the schools. From these selected schools, a list of teachers was obtained and categorized based on age, education level, gender, experience, and ethnic group. The required sample numbers will be purposefully selected from these groups, considering their characteristics such as interest and expressiveness. Sample-II In Dhulikhel Municipality, there are a total of 26 schools, encompassing both public and private institutions. To ensure a representative sample, 50% of these schools will be chosen utilizing the stratified random sampling technique. This method involves categorizing the schools based on certain criteria and then randomly selecting schools from each category. Subsequently, a proportionate stratified sampling technique will be employed to determine the necessary number of students from the selected schools. From these chosen schools, classes spanning grades 6 to 12 will be selected using a simple random sampling technique. To ensure a representative group, a proportionnâtes stratified sampling technique will be applied to determine the required number of participants. Sample-III Selected schools will be divided into two groups: an intervention group, where teachers of selected schools will receive training on child abuse, and a control group without training. A comparative analysis will then evaluate the effectiveness of the intervention by assessing teachers' knowledge and attitudes towards child abuse.

Criteria for sample selection Inclusion criteria: The teachers who are teaching in different schools of Dhulikhel Municipality. Exclusion criteria: The teachers who are not available during data collection are not interested and do not give consent to be involved as a participants. Inclusion criteria: The students who are aged 11-18 years old and willing to participate in the study. Exclusion criteria: The students who are sick, unable to understand the Nepali language, and do not give assent for participation in the study. Inclusion criteria: Teachers are teaching in different schools of Dhulikhel Municipality. Exclusion criteria: Teachers are unable to speak the Nepali language and unavailable during data collection.

Data Collection Technique Informed written consent will be obtained from participants after providing comprehensive study information. The study will utilize a focus group discussion to delve into teachers' perceptions of child abuse. The discussion will continue until data saturation is achieved. Randomly selected samples will be invited, with the researcher explaining the study procedures and obtaining both verbal and written consent from teachers, along with assent from children. A dedicated room will be arranged for data collection, and participants will be instructed on how to respond to questions on tablets. Any instances of child abuse identified during data collection will be promptly referred to the OCMC of Dhulikhel Hospital for further management as needed. Participants will receive a diary and pen after being informed about child abuse, as per the Protocol's instructions40. A pretest will be conducted to assess the existing knowledge level and attitude of the teachers toward child abuse. A 5-hour training session, led by an expert team, will follow the pretest questionnaire administration to all participants. The training will cover the introduction, definition, risk factors, signs, symptoms, and management of child abuse. Teachers will also be educated on how to report instances of child abuse. The training will incorporate interactive lectures, group discussions, and role-playing to effectively convey the management of child abuse. A post-test will be administered using the same questionnaires two weeks after the training.

Data collection tools The first part of the study is to assess school teachers' perceptions of child abuse. The focus group discussion will be done by using a self-constructed topic guide. The International Society for the Prevention of Abuse and Neglect (ISPCAN) and United Nations Children's Fund (UNICEF) have developed three questionnaires (one for parents, the ICAST-P; one for young adults, the ICAST-R; and one for children, the ICAST-C) to examine types of victimizations of childhood around the world. The researcher is going to use the ICAST-C tool to assess the prevalence of child abuse in Nepal.The prevalence of child abuse will be assessed using validated outcome measures like ICAST-C (ver3.0 children version) 41. Part-III Self constructed research tool tool will be used to assess knowledge and attitude of teachers toward child abuse.

Pretesting Moc test will be done before the finalization of the topic guide. Pre-testing the data collection tool: Pre-test will be performed on 10% of the total sample size in Banepa Municipality which will not be included in the main study. - Response and feedback will be taken and consulted with the research advisors.

Validity and reliability of tool The validated research tool will be translated into the Nepali language for its simplicity and comprehensibility. The pretest will be done in a 10% sample which will be excluded from the main study. Validity of the tool Content validity of the tool will be maintained by: -consulting with the research advisor, - subject expertise and concern authority, -review of the literature, and pretesting. Pre-testing the data collection tool: Pre-test will be performed on 10% of the total sample size in Banepa Municipality which will not be included in the main study. - Response and feedback will be taken and consulted with the research advisors.

Plan for supervision and monitoring In order to ensure the success and reliability of our research, a robust plan for supervision and monitoring during data collection is imperative. Investigators will begin by clearly defining the research objectives and establishing the guiding principles for our study. A detailed protocol will be crafted, covering every step from participant recruitment to data analysis. Thorough training sessions will be conducted to equip our team with the necessary skills, emphasizing the importance of consistency and accuracy. A well-defined supervision structure, led by a designated supervisor, will oversee the entire process. Regular check-ins, both scheduled and random, will be implemented to monitor progress, address challenges, and maintain alignment with research goals. Continuous data quality checks, a feedback mechanism, and comprehensive documentation will ensure the integrity of our data. Prior to full-scale data collection, a pilot test will be conducted to identify and address potential issues. Adherence to ethical standards, random spot checks, continuous training, and an emergency response plan will further fortify the robustness of our approach. This holistic plan aims to create a proactive and adaptive environment, ensuring the smooth execution of our research endeavors.