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Record W1953460913 · doi:10.1684/san.2008.0122

Enquête sur le transfert de connaissances concernant le paludisme par les professionnels de la santé aux consultants dans la région de Nouna au Burkina Faso

2008· article· fr· W1953460913 on OpenAlexaff
Marylène Dugas, Éric Dubé, Bocar Kouyaté, Gilles Bibeau

Bibliographic record

VenueCahiers de Santé · 2008
Typearticle
Languagefr
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversité de MontréalDalhousie University
Fundersnot available
KeywordsMalariaMedicineHealth professionalsFamily medicinePediatricsEnvironmental healthNursingHealth carePolitical scienceImmunology

Abstract

fetched live from OpenAlex

To reduce the infant mortality rate associated with malaria, the WHO recommends preventive home treatment by antimalarial drugs for all children with fever. This practice requires some medical knowledge by mothers who want to treat their children. In Burkina Faso, the main source of the transmission of such knowledge and skills is the interaction between health professionals and mothers during consultations for their children. The main objective of this study was to assess the transfer of knowledge by health professionals to mothers about the causes, symptoms and treatment of malaria in the health district of Nouna, in the province of Kossi, Burkina Faso. The results showed that at the time of the interview very few mothers were able to recognize malaria and treat it adequately. Mothers' lack of malaria-related knowledge and skills was quite substantial and even more pronounced in the sample of mothers from villages. Many did not know the exact cause of malaria or how to treat it. In view of the factors that must be taken into account for the successful treatment of malaria at home (appropriate dose for age, appropriate duration of treatment, appropriate, i.e.,antimalarial, drugs, quality of drugs) it is estimated that only 3.5% of all interviewed mothers had the knowledge necessary to treat malaria correctly at home. Health professionals appeared to agree that the mothers lacked these skills, but our data revealed that they did not provide information to the mothers to address this lack. Specifically, they did not routinely provide information about prevention by mosquito nets, diagnosis based on key symptoms such as fever, the importance of rapid consultation, rules for antimalarial dosing according to age, the risks of under-medication or the dangers related to the purchase and consumption of street drugs that may be counterfeit or have expired.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.303
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2008
Admission routes1
Has abstractyes

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