马小艳.一种基于Meta分析结果的综合评价方法[J].重庆工商大学学报(自然科学版),2020,37(4):104-110
MA Xiao-yan.A Comprehensive Evaluation Method Based on Meta analysis Results[J].Journal of Chongqing Technology and Business University(Natural Science Edition),2020,37(4):104-110
一种基于Meta分析结果的综合评价方法
A Comprehensive Evaluation Method Based on Meta analysis Results
  
DOI:
中文关键词:  Meta分析  综合评价  循证医学  循证社会科学  科学决策  精准扶贫
英文关键词:meta analysis  comprehensive evaluation  evidence based medicine  evidence based social sciences  scientific decision  targeted poverty alleviation
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作者单位
马小艳 重庆工商大学 数学与统计学院重庆 400067 
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中文摘要:
      Meta分析是循证医学中最高级别证据合成的方法,建立一种循证的综合评价方法,其综合性评价研究比任何单项评价研究都能提供更精确、概括和客观的结果;因此,从评价方案、资料收集、文献质量评价、数据处理、统计分析、敏感性分析和评价结果分析与报告七个方面探讨了基于Meta分析的综合评价基本范式,并以精准扶贫满意度测评为例,综合评价了基层群众对扶贫政策满意度情况。Meta分析的优越性是其决策过程基于更真实、更全面的证据,不仅整合了以前的工作,还阐明了未来研究的差距和重点;但其自身存在的方法学问题,以及如何将不同研究结果科学地放在同一测量尺度上,以避免“苹果”与“橘子”的混合仍是各领域面临的挑战。
英文摘要:
      Meta analysis is the highest level of evidence synthesis method in evidence based medicine.It is applied in social comprehensive evaluation to establish an evidence based comprehensive evaluation method.Its comprehensive evaluation research can provide more accurate, general and objective results than any single evaluation research.Therefore, the basic paradigm of comprehensive evaluation based on meta analysis was discussed from seven aspects including evaluation program, data collection, literature quality evaluation, data processing, statistical analysis, sensitivity analysis and evaluation result analysis and report.Taking the accurate poverty alleviation satisfaction assessment as an example, the satisfaction of grassroots people with Poverty Alleviation Policies is evaluated comprehensively.The advantage of meta analysis is that its decision making process is based on more authentic and comprehensive evidence, which not only integrates the previous work, but also clarifies the gap and focus of future research.However, its own methodological problems and how to scientifically put different research results on the same measurement scale to avoid the mixing of "apple" and "orange" are still the challenges for all fields.
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