评估当前的方法实践和现有文献中的问题,以集中复杂的调查:一个系统的审查
Md Sabbir Ahmed Mayen1, Salwa Nawsheen Nisha1, Sumya Afrin1
1Department of Statistics, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.
BMC medical research methodology
|November 13, 2024
概括
综合复杂的调查数据在健康研究中很常见,但方法报告很差. 本次审查强调了汇集策略,数据协调和异质性报告的关键差距,并建议改善未来研究的质量评估.
科学领域:
- 卫生和医学科学健康和医学科学.
- 生物统计学 生物统计学
- 流行病学 流行病学
背景情况:
- 从复杂的调查设计中汇集数据在健康研究中越来越多地被使用.
- 数据聚合的方法实践没有得到充分的记录.
- 本次审查侧重于结合复杂的调查,如人口和健康调查 (DHS) 和多指标集群调查 (MICS).
研究的目的:
- 系统地审查综合复杂调查数据的研究.
- 评估已发表的研究中使用的聚合方法的质量.
- 为了确定数据汇集策略中的报告缺陷.
主要方法:
- 对汇集DHS和MICS数据 (2010-2021) 的研究进行系统的文献搜索.
- 根据PubMed和Scopus的预定义纳入标准选择研究.
- 对355个提取的研究进行评估,以报告聚合策略的质量和方法问题.
主要成果:
- 大多数研究 (81.4%) 使用一阶段的聚合方法; 63.3%缺乏明确的战略描述.
- 变量协调 (3.4%) 和异质性处理 (66.9%) 报告不足.
- 调查设计变量 (重量,PSU,层) 和差异估计方法的使用差异很大.
结论:
- 在汇集复杂的调查数据时,基本的方法问题没有得到充分的报道.
- 需要改进的关键领域包括聚合程序,数据协调和处理异质性.
- 建议采用定制的检查清单,以提高未来聚合研究的质量评估.
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