Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.
Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Health Res Policy Syst. 2023 Jun 19;21(1):58. doi: 10.1186/s12961-023-01007-4.
Local evidence is important for contextualized knowledge translation. It can be used to adapt global recommendations, to identify future research priorities and inform local policy decisions. However, there are challenges in identifying local evidence in a systematic, comprehensive, and timely manner. There is limited guidance on how to map local evidence and provide it to users in an accessible and user-friendly way. In this study, we address these issues by describing the methods for the development of a centralized database of health research evidence for Cameroon and its applications for research prioritization and decision making.
We searched 10 electronic health databases and hand-searched the archives of non-indexed African and Cameroonian journals. We screened titles, abstracts, and full texts of peer reviewed journal articles published between 1999 and 2019 in English or French that assess health related outcomes in Cameroonian populations. We extracted relevant study characteristics based on a pre-established guide. We developed a coding scheme or taxonomy of content areas so that local evidence is mapped to corresponding domains and subdomains. Pairs of reviewers coded articles independently and resolved discrepancies by consensus. Moreover, we developed guidance on how to search the database, use search results to create evidence maps and conduct knowledge gap analyses.
The Cameroon Health Research and Evidence Database (CAMHRED) is a bilingual centralized online portal of local evidence on health in Cameroon from 1999 onwards. It currently includes 4384 studies categorized into content domains and study characteristics (design, setting, year and language of publication). The database is searchable by keywords or through a guided search. Results including abstracts, relevant study characteristics and bibliographic information are available for users to download. Upon request, guidance on how to optimize search results for applications like evidence maps and knowledge gap analyses is also available.
CAMHRED ( https://camhred.org/ ) is a systematic, comprehensive, and centralized resource for local evidence about health in Cameroon. It is freely available to stakeholders and provides an additional resource to support their work at various levels in the research process.
地方证据对于情境化的知识转化非常重要。它可以用于调整全球建议、确定未来的研究重点，并为地方政策决策提供信息。然而，在系统、全面和及时地识别地方证据方面存在挑战。关于如何以可访问和用户友好的方式映射本地证据并将其提供给用户，目前指导有限。在这项研究中，我们通过描述开发喀麦隆卫生研究证据集中数据库的方法以及其在研究优先级确定和决策中的应用来解决这些问题。
我们搜索了 10 个电子健康数据库，并手动搜索了未编入索引的非洲和喀麦隆期刊的档案。我们筛选了 1999 年至 2019 年间以英语或法语发表的评估喀麦隆人群健康相关结局的同行评议期刊文章的标题、摘要和全文。我们根据预先确定的指南提取相关研究特征。我们制定了内容领域的编码方案或分类法，以便将本地证据映射到相应的域和子域。两位评审员独立对文章进行编码，并通过共识解决差异。此外，我们制定了有关如何搜索数据库、使用搜索结果创建证据图和进行知识差距分析的指南。
喀麦隆卫生研究和证据数据库（CAMHRED）是一个双语在线集中式门户，提供 1999 年以来喀麦隆有关健康的本地证据。它目前包含 4384 项研究，分为内容领域和研究特征（设计、设置、出版年份和语言）。数据库可通过关键词或通过引导式搜索进行搜索。用户可下载包含摘要、相关研究特征和书目信息的搜索结果。根据要求，还提供有关如何优化搜索结果以应用于证据图和知识差距分析等应用的指南。
CAMHRED（https://camhred.org/）是一个系统、全面和集中的喀麦隆健康本地证据资源。它向利益攸关方免费提供，并为他们在研究过程的各个层面提供了额外的资源支持。
