Return to School Adaptation Programme for Children With Cancer — web-based  

Lymphoma Clinical Trial

Official title: Efficacy of the Web-based Return to School Adaptation Programme for Children With Cancer: a Meta-theory-based Action Research

Status Not yet recruiting

Clinical Trial Summary

This study is planned to evaluate the effect of back-to-school adaptation programme on social anxiety score, coping score and back-to-school readiness score in children aged 8-17 years who are followed up with a diagnosis of cancer. H1: Is there a significant difference in children's social anxiety scores before and after the back-to-school adaptation programme? H2: Is there a significant difference in children's coping scores before and after the back-to-school adaptation programme? H3: Is there a significant difference in children's readiness to return to school scores before and after the back-to-school adaptation programme?

Clinical Trial Description

Importance of research There are disease-specific medical and psychosocial difficulties that children with a diagnosis of cancer may experience. Standard school nursing practices can be helpful in meeting the physical, emotional, psychological, social and academic needs of children. However, a standard of care that is decided to be applied on return to school has not been developed. Therefore, it is thought that standard school nursing practices are not sufficient to meet the health and educational needs of children with cancer diagnosis. In the world, plans have been made using practices/methods/models appropriate for the population in the school return process of children followed up with a diagnosis of cancer. It is recommended to develop back-to-school programmes as they can benefit the child, family, peers, teachers and school staff who are followed up with a diagnosis of cancer. In our study, we aim to manage the transition care schematically with the back-to-school protocol to be made between the school-family-hospital, and to ensure care coordination and the safety of the child. The fact that the intervention in the back-to-school adaptation programme will be made to the child, parents, teachers and peers shows a holistic approach to the needs. Place of application: It will be performed in the paediatric leukaemia outpatient clinic of the Children's Hospital. Study Population The population of the study consisted of children who were followed up in the paediatric leukaemia outpatient clinic of the Children's Hospital with a diagnosis of cancer. Sample of the study The research will be conducted with a single group. In a publication on programme evaluation studies, it is recommended that the eta square should be at least 0.06 and 85% power. Based on this information, the sample size estimated by G*Power analysis with 85% power and 5% margin of error is 26. Although there is no similar study in the literature in terms of method and measurement tools, it is seen that case loss is between 16-32% in studies conducted with similar populations within the scope of back-to-school intervention. For this reason, the calculated sample size was increased by 32% and the sample size was determined as 35. Data Collection Tools The following forms were planned to be used in data collection. 1. Child and Parent Descriptive Information Form 2. Data Collection Form for Children's Return to School Process 3. Social Anxiety Scale for Children-Revised Version 4. Social Anxiety Scale for Adolescents 5. Paediatric Cancer Coping Scale 6. Readiness to Return to School Scale for Children with Oncological Problems: 7-18 Age 7. Process Evaluation Forms Statistical analysis The data obtained from the research will be evaluated in SPSS 29.0 package data programme. In the analysis of the data, independent groups t-test will be applied for sociodemographic data with normal distribution. In the comparison of the measurements before and after the implementation of the back-to-school adaptation programme to the group, t-test will be used for parametric assumptions, and Wilcoxon signed-rank test will be used when parametric assumptions cannot be met. In order to measure the statistical significance of dependent groups, one-factor analysis of variance will be used if parametric assumptions are met, Friedman analysis of variance will be used if parametric assumptions are not met. The significance level for descriptive statistics is p<0.05. Thematic content analysis method will be used in the evaluation of qualitative data. ;

Related Conditions & MeSH terms

• ALL, Childhood
• AML, Childhood
• Childhood Cancer
• Lymphoma
• Precursor Cell Lymphoblastic Leukemia-Lymphoma
• Solid Tumor, Childhood

• NCT number: NCT06389357
• Study type: Interventional
• Source: Gazi University
• Contact: Gizem Cakir, PhD(c)
• Phone: +905300858879
• Email: cakirgzem@gmail.com
• Status: Not yet recruiting
• Phase: N/A
• Start date: July 1, 2024
• Completion date: November 30, 2024