医学院校本科生生物统计学在研究中的应用知识评估

J. Singh, Sadikshya Neupane, R. Mehta, G. Deo
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引用次数: 0

摘要

背景:生物统计学在研究的每个阶段都是必要的,从计划到发表。它有助于获得科学的重要性和可靠的结果,而不恰当地使用统计方法和分析会对科学和人类造成危害。摘要本研究旨在了解不同医学院本科生对生物统计学知识的了解情况。方法:采用描述性横断面研究方法,对奇旺医学院117名不同院系的毕业班学生进行调查。数据采集时间为2022年5月11日至2022年5月20日。采用标准化的、有效的、可靠的问卷来评估生物统计学在研究中的应用知识。使用Statistical Package for social Sciences version 25.0软件对数据进行分析。使用描述性统计方法计算频率、百分比、平均测度、变异测度和交叉表。采用卡方检验和fisher精确检验检验知识水平与所选变量的相关性。结果:本研究共纳入117名不同健康专业的大学生,年龄在20 ~ 34岁之间,Md (Q3-Q1)=23(25-22)岁是最常见的年龄。女生占绝大多数(87.2%)。仅有少数19人(16.2%)对生物统计学在研究中的应用有较好的认识,其余19人对生物统计学在研究中的应用有一般的认识。学生的知识水平与年龄有显著的统计学差异(p=0.001)。结论:本研究得出的结论是,对生物统计学在研究中的应用有较好了解的本科生数量较少,大多数本科生对生物统计学在研究中的应用有较好的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ASSESSING UNDERGRADUATE STUDENTS’ KNOWLEDGE REGARDING APPLICATION OF BIOSTATISTICS IN RESEARCH AT MEDICAL COLLEGE
Background: Biostatistics is necessary in every stage of research, beginning from planning to till publication. It helps to gain importance scientifically as well as reliable results, while inappropriate use of statistical method and analysis cause harm to science and humanity. This study was aimed to assess the knowledge regarding biostatistics among different undergraduate students at medical college. Methods: A descriptive cross-sectional study was conducted in Chitwan Medical College among 117 final year students from different stream. Data was collected from 11th May, 2022 to 20st May, 2022. Standardized valid and reliable questionnaire was administered to assess the knowledge regarding application of biostatistics in research. Data was analysed by using software Statistical Package for social Sciences version 25.0. Descriptive statistics was used to calculate frequency, percentage, measure of average, measure of variation and cross tab. Chi-square test and fishers’ exact test was used to test the association between level of knowledge and selected variables. Results: This study included 117 undergraduate students of different health stream aged between 20 to 34 years with average students of Md (Q3-Q1)=23 (25-22) years being the most common age. Majority of the students were female 102 (87.2%). Only few 19 (16.2%) had good knowledge and remaining had fair knowledge regarding application of biostatistics in research. There was strongly evidence of statistically significant difference between level of knowledge and age of the students (p=0.001). Conclusions: This study concluded that only few numbers of undergraduate students had good knowledge and majority had fair knowledge regarding application of biostatistics in research.
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