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提高埃博拉后利比里亚卫生部门的定量能力,对当地开发和拥有的编码和生物统计程序的追踪研究
Snoyonoh T Barcon1, Trokon O Yeabah2, Mulbah K A Kromah3
1Quantitative-Data for Decision-Making (Q4D) Lab, Monrovia, Liberia.
F1000Research
|March 3, 2025
概括
利比里亚的定量数据决策 (Q4D) 培训显著提高了公共卫生分析技能. 毕业生自信地应用和教授生物统计学和编码,导致职业进步和改善健康研究能力.
科学领域:
- 公共卫生 公共卫生
- 生物统计学 生物统计学
- 数据分析 数据分析
背景情况:
- 在利比里亚,生物统计学和数学建模方面的有限的大学课程阻碍了当地分析能力.
- 决策量化数据 (Q4D) 是为了弥合这一差距而建立的,通过提高量化数据分析技能来弥合这一差距.
- 该倡议旨在减少对公共卫生数据分析的外部技术援助的依赖.
研究的目的:
- 评估通过Q4D培训获得的技能的相关性,实用性和影响.
- 了解Q4D校友如何应用他们学到的生物统计和编码技能.
- 评估归因于该计划的个人和专业进步.
主要方法:
- 在现任和前任Q4D学生中进行了一项追踪器研究.
- 一项在线调查收集了有关技能应用频率和方法的数据.
- 参与者报告了他们的信心水平,技能传播和职业影响.
主要成果:
- 81%的参与者表示对应用学习技能有很高的信心.
- 74%的参与者正在教别人获得的技能.
- 56%的就业参与者认为这些技能非常或非常有用,许多人报告工资上和新的机会.
结论:
- Q4D培训对于利比里亚的卫生部门分析需求是相关的和有用的.
- 该计划提高了劳动力能力,为进一步就业和培训做好了准备.
- 获得的技能有助于推进国内的健康研究和减少不平等.
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