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Record W4298111555 · doi:10.1093/jacamr/dlac094

Gaps and barriers in the implementation and functioning of antimicrobial stewardship programmes: results from an educational and behavioural mixed methods needs assessment in France, the United States, Mexico and India

2022· article· en· W4298111555 on OpenAlex
Patrice Lazure, Monica Augustyniak, Debra A. Goff, María Virginia Villegas, Anucha Apisarnthanarak, Sophie Péloquin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJAC-Antimicrobial Resistance · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsAxdev Group (Canada)
FundersbioMérieux
KeywordsThematic analysisAntimicrobial stewardshipMedicineFamily medicineHealth careMedical educationNursingQualitative researchPolitical scienceSociology

Abstract

fetched live from OpenAlex

Abstract Background Evidence shows limited adherence to antimicrobial stewardship (AMS) principles. Objectives To identify educational gaps and systemic barriers obstructing adherence to AMS principles. Methods A mixed-methods study combining a thematic analysis of qualitative interviews (January–February 2021) and inferential analysis of quantitative surveys (May–June 2021) was conducted. Participants from France, the USA, Mexico and India were purposively sampled from online panels of healthcare professionals to include infectious disease physicians, infection control specialists, clinical microbiologists, pharmacologists or pharmacists expected to apply AMS principles in their practice setting (e.g. clinic, academic-affiliated or community-based hospital). A gap analysis framework guided this study. Results The final sample included 383 participants (n = 33 interviews; n = 350 surveys). Mixed-methods findings indicated suboptimal knowledge and skills amongst participants to facilitate personal and collective application of AMS principles. Survey data indicated a gap in ideal versus current knowledge of AMS protocols, especially amongst pharmacologists (Δ0.95/4.00, P < 0.001). Gaps in ideal versus current skill levels were also measured and were highest amongst infectious control specialists (Δ1.15/4.00, P < 0.001), for convincing hospital executives to allocate resources to AMS programmes. Already existing systemic barriers (e.g. insufficient dedicated time/funding/training) were perceived as being aggravated during the COVID-19 pandemic (72% of survey participants agreed). Reported gaps were highest in India and France. Conclusions The educational needs of professionals and countries included in this study can inform future continuous professional development activities in AMS. Additional funding should be considered to address perceived systemic barriers. Local assessments are warranted to validate results and suitability of interventions.

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.

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)0.000
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 score0.180
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.313
Teacher spread0.300 · 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