STATA实践培训对数据管理和数据分析的影响:卫生保健专业人员获得了多少知识?

Hira Pant, Tripura Batchu, Raashi Raj, A. Nirupama, V. Agiwal
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摘要

数据管理和统计分析是任何研究的组成部分。但是,在没有任何工具的情况下,很难以系统和有意义的方式对数据进行清理、组织和维护,以进行准确的分析。因此,有必要学习SPSS, STATA, R, SAS等工具来理解数据。本研究聚焦于STATA短期培训对眼科医护人员的影响,发现他们使用基于计算机的统计软件包进行数据管理和分析的能力有所提高,并确定参与者面临的主要挑战和改进培训的建议。我们组织了一个为期10天的关于使用STATA进行数据管理和数据分析的短期课程。每天都要进行测试前和测试后的评估,以确定影响。调查问卷涵盖了从数据管理到统计的研究方法的几个领域。分类数据用频率和百分比描述,而连续数据用中位数和四分位数范围(IQR)描述。运用Wilcoxon sign -rank检验,发现知识的显著改善。试验前后10 d累积中位评分分别为43 (IOR = 39 ~ 47.5)和72.5 (IOR = 69 ~ 77),差异有统计学意义(P = 0.012)。男性参与者、年轻年龄组、经验和先验知识被认为是提高STATA使用知识和表现的主要决定因素。我们观察到,使用STATA的高级培训对有兴趣/参与研究的人在数据管理和分析方面获得自主权非常有益。通过对培训的评估,证实了STATA软件使用的实践培训确实对学习者的知识、自我效能感和态度有显著的影响。由于Stata对用户非常友好,我们建议应为研究人员和医学生提供Stata的综合培训课程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of hands-on training in STATA for data management and data analysis: How much knowledge gained among health-care professionals?
Data management and statistical analysis are integral parts of any research. But there is difficulty in cleaning, organizing, and maintaining data in a systematic and meaningful way for accurate analysis without any tool. Hence, there is a need to learn a tool such as SPSS, STATA, R, SAS and so many for understanding the data. This study focused on the impact of short-course training on STATA on healthcare eye professionals and found an improvement in their competency to use computer-based statistical software packages for data management and analysis and identify the major challenges for participants and suggestions to improve the training. We organized a 10-day short course on data management and data analysis using STATA. A pre and post-test evaluation was done every day to find the impact. The questionnaire covered several areas of research methodology from data management to statistics. Categorical data were described in frequency and percentage whereas continuous data was described in median and interquartile range (IQR). Wilcoxon signed-rank test was applied to find out the significant improvement in the knowledge. The 10 days cumulative median score for pre- and post-test was 43 (IOR = 39-47.5) and 72.5 (IOR = 69-77) respectively and was statistically significant (P = 0.012). Male participants, younger age groups, experience, and prior knowledge were identified as major determinants to improve the knowledge and performance in the usage of STATA. We observed that advanced training in the usage of STATA is highly beneficial to people interested/involved in research to gain autonomy in data management and analysis. The evaluation of the training confirms that hands-on training in the use of STATA software does have a significant impact on the knowledge, self-efficacy, and attitude of the learner. Since Stata is very user-friendly, we recommend that researchers and medical students should be offered a comprehensive training course in STATA.
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