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The Cameroon Health Research and Evidence Database (CAMHRED): tools and methods for local evidence mapping
BACKGROUND: 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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278273/ https://www.ncbi.nlm.nih.gov/pubmed/37337236 http://dx.doi.org/10.1186/s12961-023-01007-4 |
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author | Ongolo-Zogo, Clémence El-Khechen, Hussein Morfaw, Frederick Djiadjeu, Pascal Zani, Babalwa Darzi, Andrea Nji, Paul Wankah Nyambi, Agatha Youta, Andrea Zaman, Faiyaz Youmbi, Cheikh Tchouambou Siani, Ines Ndzana Mbuagbaw, Lawrence |
author_facet | Ongolo-Zogo, Clémence El-Khechen, Hussein Morfaw, Frederick Djiadjeu, Pascal Zani, Babalwa Darzi, Andrea Nji, Paul Wankah Nyambi, Agatha Youta, Andrea Zaman, Faiyaz Youmbi, Cheikh Tchouambou Siani, Ines Ndzana Mbuagbaw, Lawrence |
author_sort | Ongolo-Zogo, Clémence |
collection | PubMed |
description | BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12961-023-01007-4. |
format | Online Article Text |
id | pubmed-10278273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102782732023-06-20 The Cameroon Health Research and Evidence Database (CAMHRED): tools and methods for local evidence mapping Ongolo-Zogo, Clémence El-Khechen, Hussein Morfaw, Frederick Djiadjeu, Pascal Zani, Babalwa Darzi, Andrea Nji, Paul Wankah Nyambi, Agatha Youta, Andrea Zaman, Faiyaz Youmbi, Cheikh Tchouambou Siani, Ines Ndzana Mbuagbaw, Lawrence Health Res Policy Syst Research BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12961-023-01007-4. BioMed Central 2023-06-19 /pmc/articles/PMC10278273/ /pubmed/37337236 http://dx.doi.org/10.1186/s12961-023-01007-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Ongolo-Zogo, Clémence El-Khechen, Hussein Morfaw, Frederick Djiadjeu, Pascal Zani, Babalwa Darzi, Andrea Nji, Paul Wankah Nyambi, Agatha Youta, Andrea Zaman, Faiyaz Youmbi, Cheikh Tchouambou Siani, Ines Ndzana Mbuagbaw, Lawrence The Cameroon Health Research and Evidence Database (CAMHRED): tools and methods for local evidence mapping |
title | The Cameroon Health Research and Evidence Database (CAMHRED): tools and methods for local evidence mapping |
title_full | The Cameroon Health Research and Evidence Database (CAMHRED): tools and methods for local evidence mapping |
title_fullStr | The Cameroon Health Research and Evidence Database (CAMHRED): tools and methods for local evidence mapping |
title_full_unstemmed | The Cameroon Health Research and Evidence Database (CAMHRED): tools and methods for local evidence mapping |
title_short | The Cameroon Health Research and Evidence Database (CAMHRED): tools and methods for local evidence mapping |
title_sort | cameroon health research and evidence database (camhred): tools and methods for local evidence mapping |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10278273/ https://www.ncbi.nlm.nih.gov/pubmed/37337236 http://dx.doi.org/10.1186/s12961-023-01007-4 |
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