Evidence map›Paper›PMID 38799186›Full record

ArticleThe Pan African medical journal2024

Assessment of knowledge and self-efficacy among health professionals and clinical scientists following the Cameroon HIV/AIDS Research Forum (CAM-HERO 2022) research methodology and bioethics training.

Peter Vanes Ebasone, Appolinaire Tiam, Patrice Tchendjou, Merveille Foaleng, Eveline Mboh Khan, Rogers Ajeh, Boris Tchounga, Emile Nforbih Shu, Gabriel Mabou, Johney Melpsa and 5 more

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Article in The Pan African medical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

15 authors.

Peter Vanes EbasoneClinical Research Education, Networking and Consultancy (CRENC), Yaoundé, Cameroon.
Appolinaire TiamElizabeth Glaser Pediatric AIDS Foundation, Washington, DC, USA.
Patrice TchendjouElizabeth Glaser Pediatric AIDS Foundation (EGPAF), Yaoundé, Cameroon.
Merveille FoalengClinical Research Education, Networking and Consultancy (CRENC), Yaoundé, Cameroon.
Eveline Mboh KhanCameroon Baptist Convention Health Services (CBCHS), Bamenda, Cameroon.
Rogers AjehClinical Research Education, Networking and Consultancy (CRENC), Yaoundé, Cameroon.
Boris TchoungaElizabeth Glaser Pediatric AIDS Foundation (EGPAF), Yaoundé, Cameroon.
Emile Nforbih ShuElizabeth Glaser Pediatric AIDS Foundation (EGPAF), Yaoundé, Cameroon.
Gabriel MabouClinical Research Education, Networking and Consultancy (CRENC), Yaoundé, Cameroon.
Johney MelpsaClinical Research Education, Networking and Consultancy (CRENC), Yaoundé, Cameroon.
Pius Tih MuffihCameroon Baptist Convention Health Services (CBCHS), Bamenda, Cameroon.
Andre Pascal KengneDepartment of Medicine, Faculty of Health Science, University of Cape Town, Cape Town, South Africa.
Anne Cecile Zoung-Kany BisseckDivision of Health Operational Research, Ministry of Public Health, Yaoundé, Cameroon.
Anastase DzudieClinical Research Education, Networking and Consultancy (CRENC), Yaoundé, Cameroon.
Friedrich ThienemannDepartment of Medicine, Faculty of Health Science, University of Cape Town, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To inform public health policymakers that the generation of local evidence-based knowledge is key. Research capacity in low- and middle-income countries (LMIC) to generate medical knowledge is often weak and insufficiently resourced and efforts to tackle these challenges are not standardized. Continuous research training can equip researchers with the required knowledge and research skills, but its effectiveness largely depends on the quality and pertinence of the training methods used. We aim to assess the effectiveness of the Cameroon HIV/AIDS Research Forum (CAM-HERO) 2022 Research Methodology and Bioethics Training with the objective to describe the knowledge gained and the self-efficacy of health professionals and clinical scientists. A survey was conducted during the one-day training among health professionals and clinical scientists. Participants took an online self-administered questionnaire before and after the training related to the topics taught. The questionnaire consisted of two parts: 1) 18 Multiple Choice Questions (MCQs) to assess knowledge and 2) Nine items to evaluate self-efficacy using a five-point Likert scale. Mean scores were calculated, analysed, and compared using paired t-test for the pre- and post-test results. A total of 30 participants (57% women) completed the socio-demographic form. The median age (IQR) of participants was 33.5 (13.3) years. We registered 38 respondents for the pre-test and 33 respondents for the post-test. There was a rise in knowledge mean score from 13.0 to 14.8 (p=0.001) and an improvement in the perception of self-efficacy with a mean score increase from 2.9 to 3.7 (p < 0.001). Knowledge and perception of self-efficacy on research methodology improved among participants after the training. These results suggest that the CAM-HERO 2022 training had an immediate positive impact on skills and self-efficacy. Hence, we recommend the implementation of this training on a larger scale, periodically, and with long-term follow-up to evaluate its impact.

Indexed as

BioethicsHealth Knowledge, Attitudes, PracticeHealth PersonnelHIV InfectionsResearch PersonnelSelf EfficacyAcquired Immunodeficiency SyndromeAdultBiomedical ResearchCameroonFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultAfricaCameroonhealth professionalsknowledge assessmentresearch methodologyself-efficacy

Identifiers

PMID38799186
PMCPMC11126751

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.