通过结构化指导来建立系统审查和元分析的能力:一个IPS Karnataka章节倡议
Vijaykumar Harbishettar1, Lakshmi Shiva2, Swarna B Nayok1
1Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, India.
Indian journal of psychiatry
|July 14, 2025
概括
该计划成功培训了研究团队进行系统审查和元分析 (SRMA),提高了科学能力. 参与者学习了基本的SRMA技能,从而完成了审查和改进了研究成果.
科学领域:
- 医学研究方法学 医学研究方法学
- 证据综合 证据综合
- 精神病学研究能力建设
背景情况:
- 系统审查和元分析 (SRMA) 对于总结研究至关重要,但需要专业技能.
- 有一个公认的需要提高开展高质量的SRMA的能力,特别是在精神病学研究中.
- 印度精神病学会卡纳塔克州分会启动了一项计划,以解决这种能力差距.
研究的目的:
- 开发和实施一项全面的培训计划,用于进行系统审查和元分析 (SRMA).
- 在整个SRMA过程中指导作者团队,从创作到出版.
- 培养一种可持续的模型,用于建立证据综合的研究能力.
主要方法:
- 一个为期九个月的结构化培训计划,包括基于同行和交互式学习.
- 包括在线研讨会,由专家 (统计学家) 领导的会议和经验丰富的教师的指导.
- 利用了PRISMA和Cochrane手册中的指南,Covidence软件以及数据提取和分析的实践培训.
主要成果:
- 参与者成功完成了系统审查和元分析,包括PROSPERO注册和出版.
- 该计划促进了SRMA关键组件的学习:问题框架,数据库搜索,论文选择,数据提取,元分析和异质性评估.
- 一个独特的特点是结构化的时间表,严格的后续和专注的指导.
结论:
- 培训计划有效提高了参与者进行系统审查和元分析的能力.
- 该模型通过雪球效应展示了成功的领导力建设,训练有素的参与者可以指导他人.
- 该计划的扩展具有显著的潜力,可以增加SRMA的研究成果,并推进基于证据的实践.
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