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Record W2786084017 · doi:10.1186/s12960-018-0270-3

Mapping educational opportunities for healthcare workers on antimicrobial resistance and stewardship around the world

2018· article· en· W2786084017 on OpenAlex
Susan Rogers Van Katwyk, Sara Jones, Steven J. Hoffman

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueHuman Resources for Health · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsCentre for Global Health ResearchMcMaster UniversityYork UniversityDalhousie UniversityUniversity of Ottawa
FundersCanadian Institutes of Health ResearchNorges ForskningsrådWorld Health Organization
KeywordsHealth careOutreachPublic relationsAntimicrobial stewardshipGovernment (linguistics)BusinessResistance (ecology)Health administrationStewardship (theology)MedicineNursingKnowledge managementMedical educationPublic healthAntibiotic resistancePolitical scienceComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Antimicrobial resistance is an important global issue facing society. Healthcare workers need to be engaged in solving this problem, as advocates for rational antimicrobial use, stewards of sustainable effectiveness, and educators of their patients. To fulfill this role, healthcare workers need access to training and educational resources on antimicrobial resistance. METHODS: To better understand the resources available to healthcare workers, we undertook a global environmental scan of educational programs and resources targeting healthcare workers on the topic of antimicrobial resistance and antimicrobial stewardship. Programs were identified through contact with key experts, web searching, and academic literature searching. We summarized programs in tabular form, including participating organizations, region, and intended audience. We developed a coding system to classify programs by program type and participating organization type, assigning multiple codes as necessary and creating summary charts for program types, organization types, and intended audience to illustrate the breadth of available resources. RESULTS: We identified 94 educational initiatives related to antimicrobial resistance and antimicrobial stewardship, which represent a diverse array of programs including courses, workshops, conferences, guidelines, public outreach materials, and online-resource websites. These resources were developed by a combination of government bodies, professional societies, universities, non-profit and community organizations, hospitals and healthcare centers, and insurance companies and industry. Most programs either targeted healthcare workers collectively or specifically targeted physicians. A smaller number of programs were aimed at other healthcare worker groups including pharmacists, nurses, midwives, and healthcare students. CONCLUSIONS: Our environmental scan shows that there are many organizations working to develop and share educational resources for healthcare workers on antimicrobial resistance and antimicrobial stewardship. Governments, hospitals, and professional societies appear to be driving action on this front, sometimes working with other types of organizations. A broad range of resources have been made freely available; however, we have noted several opportunities for action, including increased engagement with students, improvements to pre-service education, recognition of antimicrobial resistance courses as continuing medical education, and better platforms for resource-sharing online.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.074
GPT teacher head0.327
Teacher spread0.254 · 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