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Record W4387706948 · doi:10.3917/spub.233.0329

Mesure de la charge virale VIH : connaissances, attitudes et pratiques des agents de santé, Burkina Faso

2023· article· fr· W4387706948 on OpenAlexaboutno aff
Smaïla Ouédraogo, Désiré Lucien Dahourou, Ismaèl Diallo, Maurice Sarigda, Issa Romba, Bapougouni P.C. Yonli, Ter Elias Dah, Ahmed Kaboré, Nicolas Méda

Bibliographic record

VenueSanté Publique · 2023
Typearticle
Languagefr
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHuman immunodeficiency virus (HIV)Logistic regressionPsychological interventionEnvironmental healthQuarter (Canadian coin)Family medicineHealth careGerontologyDemographyNursingGeographyInternal medicinePolitical scienceSociology

Abstract

fetched live from OpenAlex

Introduction: Approximately a quarter of people living with HIV (PLHIV) had their plasma viral load (PVL) measured in 2020 in Burkina Faso. The purpose of this study was to assess the knowledge, attitudes, and practices (KAP) of health workers regarding HIV PVL measurement. Methods: A cross-sectional study was conducted among health workers involved in the care of PLHIV in the 13 regions of Burkina Faso in 2021. Scores were constructed to assess their KAP on PVL measurement. Factors associated with knowledge and practices were identified by logistic regression. Results: A total of 255 health workers were surveyed. The majority had good knowledge (73%) and favorable attitudes (93%). However, 40% had inadequate practices. Taking into account the availability of a laboratory to carry out PVL tests within the health center, having a coordinating role increased the likelihood of having good knowledge, while not having a medical qualification reduced this likelihood. Good practices were more common among health workers working at the second level of the health pyramid. Conclusions: Interventions to increase the demand for a measurement of PVL are essential to improve the care of PLHIV. For example, future investigations could explore the role of mediators in increasing the demand for PVL among PLHIV and their caregivers.

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)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.034
GPT teacher head0.408
Teacher spread0.375 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2023
Admission routes1
Has abstractyes

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