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Masters Thesis | Public Health | India | Volume 13 Issue 9, September 2024 | Popularity: 6.4 / 10
Enhancing Road Safety Knowledge in School Children Through Video Assisted Learning: A Pretest Posttest Study
Renu Sharma
Abstract: Introduction: Road Traffic accidents are one of the primary problems impacting public health worldwide, WHO stated that road traffic injuries are the top cause of mortality for children and young people aged 5 to 29. As per the WHO Global Report on Road Safety 2018, India accounts for almost 11% of the accidents related deaths in the World. The United Nations General Assembly declared 2011-2020 as Decade of Action for Road safety. Materials and methods: One group pretest posttest research design was used to assess the effectiveness of video assisted learning programme regarding knowledge on road safety measures among school children. 190 samples were recruited through stratified proportionate random sampling. A self-structured questionnaire was used after testing validity and reliability of the tool. The data was analyzed by descriptive and inferential statistics. Results: Among the 190 participants majority of the study participants (57.37%) had good knowledge score in pretest and 35.26% had excellent knowledge score whereas in posttest 162 subjects i.e. 85.26% had excellent knowledge score and 28 (14.74%) had good knowledge. The mean value of pretest knowledge score was 14.25, posttest knowledge score of the study group was 17.81. The computed Wilcoxon sign test value of 10.63 found to be statistically significant at the level of significance of <0. 0001.Conclusion: The findings concluded after receiving an efficient educational intervention in the form of video-assisted learning, schoolchildren's knowledge levels increased. Children's pre-test knowledge levels had a significant association with their gender, mother's education level, and mode of transportation.
Keywords: Assess, Effectiveness, Knowledge, Video-assisted learning programme, Road safety measures & school children
Edition: Volume 13 Issue 9, September 2024
Pages: 1285 - 1292
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