系统性审查和多病症疾病聚类的元分析:一个研究协议
Jennifer Ferris1,2, Lean K Fiedeldey3, Boah Kim4
1Gerontology Research Centre, Simon Fraser University, Burnaby, British Columbia, Canada jennifer_ferris@sfu.ca.
BMJ open
|December 9, 2023
概括
这项研究使用系统性审查和元分析确定了多重疾病中常见的慢性疾病集群. 研究结果将有助于改善对多种同时出现的疾病的人口健康评估和管理策略.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 医疗保健服务研究 医疗服务研究
背景情况:
- 多病症,即多种慢性疾病的存在,对个人健康和医疗保健系统产生重大影响.
- 多种疾病中的疾病组合可以产生协同作用的负面影响,根据特定的疾病配对而有很大差异.
- 识别常见的多病态模式对于有效的人口健康评估和政策制定至关重要.
研究的目的:
- 在多病症中对疾病聚类进行系统审查和元分析.
- 确定特定的多病性疾病集群,并评估它们在现有文献中的稳定性.
- 提供针对多种疾病的有针对性的预防和管理策略的证据.
主要方法:
- 基于数据集群方法的已发表研究的基于网络的元分析.
- 专注于优先考虑的慢性疾病列表,以揭示共发生的模式.
- 对已识别的疾病集群的证据稳定性和强度的评估.
主要成果:
- 该部分将在研究完成后填写.
结论:
- 该部分将在研究完成后填写.
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