AI Summary & Key Takeaways
AI InsightThe average effect size at 95% significance level was calculated as 1.452 for the study by Li et al.(2018), 0.560 for the study by Ramezani et al. (2018), 7.606 for the study by Kudubeş et al. (2019), -0.995 for the study by Lam et al. (2018), and0.544 for the study by Vieira et al. (2015).Conclusion: In this study, fatigue-reducing interventions were found to affect fatigue level.
📌 3 Key Takeaways
Özet
Aim: This research was conducted to analyze the effect of fatigue-reducing interventions on the fatigue levels of children with cancer.Materials and Methods: This quantitative study based on the literature relating to those interventions to reduce fatigue in children with cancerwas carried out. No time limits were defined for the literature review; instead, all available studies published until February 2019 were reviewed.Data were collected from Pubmed, Cochrane, EBSCO Host, ScienceDirect, Embase/Elsevier, and Web of Science databases. The keywords“child”, “cancer”, and “fatigue” were used during the search process. The effect sizes and group comparisons of each study were analyzed usingThe Comprehensive Meta-analysis statistical software package for meta-analysis.Results: The total sampling number of the five studies included in the study was 500. As a result of the heterogeneity test, it was determinedthat these studies involving interventions to reduce the fatigue of children with cancer had heterogeneous characteristics. The result of apublication bias test found no publication bias. The average effect size at 95% significance level was calculated as 1.452 for the study by Li et al.(2018), 0.560 for the study by Ramezani et al. (2018), 7.606 for the study by Kudubeş et al. (2019), -0.995 for the study by Lam et al. (2018), and0.544 for the study by Vieira et al. (2015).Conclusion: In this study, fatigue-reducing interventions were found to affect fatigue level.