Evidence map›Paper›PMID 37337236›Full record

ArticleHealth research policy and systems2023

The Cameroon Health Research and Evidence Database (CAMHRED): tools and methods for local evidence mapping.

Clémence Ongolo-Zogo, Hussein El-Khechen, Frederick Morfaw, Pascal Djiadjeu, Babalwa Zani, Andrea Darzi, Paul Wankah Nji, Agatha Nyambi, Andrea Youta, Faiyaz Zaman and 3 more

Abstract read
In one paragraph

Article in Health research policy and systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Clémence Ongolo-ZogoDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada. clemence.ongolozogo@mail.utoronto.ca.ORCID http://orcid.org/0000-0001-8624-5006
Hussein El-KhechenDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.
Frederick MorfawDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.
Pascal DjiadjeuDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.
Babalwa ZaniNyasha Consulting, Cape Town, South Africa.
Andrea DarziDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.
Paul Wankah NjiDepartment of Community Health, University of Sherbrooke, Sherbrooke, Canada.
Agatha NyambiThe Ontario HIV Treatment Network, Toronto, Canada.
Andrea YoutaDepartment of International Health, Georgetown University, Washington, United States of America.
Faiyaz ZamanTemerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Cheikh Tchouambou YoumbiTemerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Ines Ndzana SianiDepartment of Kinesiology, McMaster University, Hamilton, Canada.
Lawrence MbuagbawDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLocal 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.

methodsWe 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.

resultsThe 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.

conclusionsCAMHRED ( 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.

Indexed as

ConsensusCameroonHumansCameroonContextualisationEvidence mappingGap map analysisKnowledge translation

Identifiers

PMID37337236
PMCPMC10278273

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.