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Record W4403269104 · doi:10.4103/aihb.aihb_119_24

Pilot Study to Evaluate Patients’ Understanding of Key Terms and Aspects of Antimicrobial Use in a Rural Province in South Africa Findings and Implications

2024· article· en· W4403269104 on OpenAlexaff
Tiyani Milta Sono, Veronica Mboweni, Ana Golić Jelic, Stephen Campbell, Vanda Marković‐Peković, Nishana Ramdas, Natalie Schellack, Santosh Kumar, Brian Godman, Johanna C. Meyer

Bibliographic record

VenueAdvances in Human Biology · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsInstitute of Infection and Immunity
FundersNational Research Foundation
KeywordsKey (lock)AntimicrobialGeographyMedicineEnvironmental planningBiologyEcologyMicrobiology

Abstract

fetched live from OpenAlex

Introduction: Antimicrobial resistance (AMR) is a global concern, necessitating the understanding of utilisation patterns and their rationale. Pilot studies have been conducted in a rural province in South Africa to determine the extent of self-purchasing of antibiotics by patients from independent and chain pharmacies. It is imperative to understand the extent of knowledge and concerns of patients regarding the key aspects of antibiotic use and AMR, and potential language barriers, when pharmacists and their assistants are discussing the key aspects with patients. Consequently, the aim was to pre-test a patient questionnaire translated in three native languages building on the findings from the English language pilot. Materials and Methods: The English patient questionnaire (Parts 1 and 2) was translated to Sepedi, Tshivenda and Xitsonga. In total 30 patients were interviewed (5/language for Part 1 and Part 2 respectively) when leaving 10 chain and independent pharmacies. This was followed by interviews with patients to evaluate their understanding of questions and key concepts. Results: Eleven of 15 patients interviewed for Part 1 received antibiotics, including 8 without a prescription. Only independent pharmacies (8/10) dispensed antibiotics without prescriptions. Interviews revealed concerns about antibiotic knowledge and AMR and that certain terms including ‘antibiotic’ and ‘AMR’ posed challenges with patient understanding of the purpose of antibiotics. For instance, one patient self-purchased antibiotics for ‘cleansing’ of sexually transmitted infections. The questionnaires in the native languages were subsequently revised so that explanations for terms, including ‘antibiotic’ and ‘AMR’ will be provided in the main study. Conclusion: Similar to the previous pilot studies, self-purchasing of antibiotics was observed among independent pharmacies, although at varying rates, with similar indications. Continued health literacy education for pharmacists and patients, especially with native language communication, are needed to address current challenges and will be explored in the main study.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.036
GPT teacher head0.297
Teacher spread0.262 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations19
Published2024
Admission routes1
Has abstractyes

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