JBI, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.
Albert S. Cook Library, Towson University, Towson, MD, USA.
JBI Evid Synth. 2023 Mar 1;21(3):592-600. doi: 10.11124/JBIES-22-00122.
The objective of this scoping review is to identify evidence synthesis types and previously proposed classification systems, typologies, or taxonomies that have guided evidence synthesis.
Evidence synthesis is a constantly evolving field. There is now a plethora of evidence synthesis approaches used across many different disciplines. Historically, there have been numerous attempts to organize the types and methods of evidence synthesis in the form of classification systems, typologies, or taxonomies. This scoping review will seek to identify all the available classification systems, typologies, or taxonomies; how they were developed; their characteristics; and the types of evidence syntheses included within them.
This scoping review will include discussion papers, commentaries, books, editorials, manuals, handbooks, and guidance from major organizations that describe multiple approaches to evidence synthesis in any discipline.
The Evidence Synthesis Taxonomy Initiative will support this scoping review. The search strategy will aim to locate both published and unpublished documents utilizing a three-step search strategy. An exploratory search of MEDLINE has identified keywords and MeSH terms. A second search of MEDLINE, Embase, CINAHL with Full Text, ERIC, Scopus, Compendex, and JSTOR will be conducted. The websites of relevant evidence synthesis organizations will be searched. Identified documents will be independently screened, selected, and extracted by two researchers, and the data will be presented in tables and summarized descriptively.
Open Science Framework https://osf.io/qwc27.
本次范围综述的目的是确定已用于指导证据综合的证据综合类型和先前提出的分类系统、类型学或分类法。
证据综合是一个不断发展的领域。现在,许多不同学科都使用了大量的证据综合方法。从历史上看,人们曾多次试图以分类系统、类型学或分类法的形式组织证据综合的类型和方法。本次范围综述将试图确定所有可用的分类系统、类型学或分类法;它们是如何制定的;它们的特点;以及它们所包含的证据综合类型。
本次范围综述将包括讨论文件、评论、书籍、社论、手册、指南以及描述任何学科中多种证据综合方法的主要组织的指南。
证据综合分类法倡议将支持本次范围综述。搜索策略旨在利用三步搜索策略定位已发表和未发表的文件。对 MEDLINE 的探索性搜索确定了关键词和 MeSH 术语。将对 MEDLINE、Embase、CINAHL with Full Text、ERIC、Scopus、Compendex 和 JSTOR 进行第二次搜索。将搜索相关证据综合组织的网站。确定的文件将由两名研究人员独立筛选、选择和提取,数据将以表格形式呈现,并进行描述性总结。
Open Science Framework https://osf.io/qwc27。