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Record W1895653598 · doi:10.4212/cjhp.v68i5.1486

A Qualitative Analysis of Implementation of Antimicrobial Stewardship at 3 Academic Hospitals: Understanding the Key Influences on Success

2015· article· en· W1895653598 on OpenAlexaffvenue
Lianne Jeffs, Nisha Thampi, M Maione, Marilyn Steinberg, Andrew M. Morris, Chaim M. Bell

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsMount Sinai HospitalChildren's Hospital of Eastern OntarioUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsAntimicrobial stewardshipCredibilityAntimicrobialQualitative researchContext (archaeology)Stewardship (theology)Health careMedicineNursingPublic relationsFamily medicineAntibiotic resistancePolitical scienceAntibioticsMicrobiologySociology

Abstract

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Background: Inappropriate use of antimicrobials is linked to the development and spread of drug-resistant pathogens and is associated with increased morbidity, mortality, lengths of hospital stay, and health care costs. “Antimicrobial stewardship” is the umbrella term for an evidence based knowledge translation strategy involving comprehensive quality improvement activities to optimize the use of antimicrobials, improve patient outcomes, reduce the development of antimicrobial resistance and hospital-acquired infections such as Clostridium difficile, and decrease health care costs.Objective: To assess the perceptions and experiences of antimicrobial stewardship program leaders in terms of clinicians’ attitudes toward and behaviours related to antimicrobial prescribing.Methods: In this qualitative study, semistructured interviews were conducted with 6 antimicrobial stewards (2 physicians and 4 pharmacists) at 3 academic hospitals between June and August 2013.Results: The following 3 key themes emerged from the interviews: getting the right people on board, building collegial relationships, and rapidly establishing a track record. The study results elucidated the role and mechanisms that the program leader and other antimicrobial stewards used to influence other clinicians to engage in effective utilization of antimicrobials. The results also highlighted the methods employed by members of the antimicrobial stewardship team to tailor their strategies to the local context and to stakeholders of participating units; to gain credibility by demonstrating the impact of the antimicrobial stewardship program on clinical outcomes and cost; and to engage senior leaders to endorse and invest in the antimicrobial stewardship program, thereby adding to the antimicrobial stewards’ credibility and their ability to influence the uptake of effective antimicrobial use.Conclusions: Collectively, these results offer insight into processes and mechanisms of influence employed by antimicrobial stewards to enhance antimicrobial use among clinicians, which can in turn inform future implementation of antimicrobial stewardship and strategies for organizational change in hospitals.RÉSUMÉContexte : L’utilisation inappropriée d’antimicrobiens est liée au développement et à la propagation de pathogènes résistants aux médicaments, en plus d’être associée à une augmentation de la morbidité, de la mortalité, de la durée du séjour à l’hôpital et des coûts des soins de santé. « Gérance des antimicrobiens » est le terme générique désignant une stratégie d’application des connaissances fondée sur des données probantes qui comporte des activités exhaustives d’amélioration de la qualité pour : optimiser l’utilisation des antimicrobiens, améliorer les résultats thérapeutiques, freiner l’émergence de la résistance aux antimicrobiens, diminuer les infections nosocomiales (notamment par Clostridium difficile) et réduire les coûts des soins de santé.Objectif : Évaluer les perceptions et l’expérience des chefs des programmes de gérance des antimicrobiens par rapport à l’attitude et aux habitudes des cliniciens quant à la prescription d’antimicrobiens.Méthodes : Dans la présente étude qualitative, des entrevues semistructurées ont été réalisées auprès de 6 responsables de la gérance des antimicrobiens (2 médecins et 4 pharmaciens) dans 3 centres hospitaliers universitaires entre juin et août 2013.Résultats : Les entrevues ont permis de dégager trois thèmes clés : obtenir le concours des bonnes personnes, établir des relations collégiales et démontrer un bilan convaincant le plus rapidement possible. Les résultats de l’étude ont permis d’expliquer le rôle joué par les chefs de programme et autres responsables de la gérance des antimicrobiens ainsi que les mécanismes qu’ils ont utilisés pour influencer les autres cliniciens à entreprendre une utilisation réellement efficace des antimicrobiens. Les résultats ont aussi mis en évidence les méthodes employées par des membres de l’équipe de gérance des antimicrobiens pour adapter leurs stratégies en fonction du contexte local et des parties prenantes des services participants; pour obtenir davantage de crédibilité en démontrant les effets du programme sur les résultats cliniques et les coûts; et pour amener les hauts dirigeants à soutenir le programme et à y investir, ce qui augmente la crédibilité des responsables de la gérance des antimicrobiens et accroît leur capacité à influencer l’adoption d’une utilisation réellement efficace des antimicrobiens.Conclusions : Ensemble, ces résultats aident à mieux comprendre les méthodes et mécanismes d’influence employés par les responsables de la gérance des antimicrobiens pour faire en sorte que les cliniciens fassent un meilleur usage des antimicrobiens, ce qui permettra ensuite de guider la mise en oeuvre d’une future gérance des antimicrobiens et de strategies relatives au changement organisationnel dans les hôpitaux.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.080
GPT teacher head0.393
Teacher spread0.313 · 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 designQualitative
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

Citations29
Published2015
Admission routes2
Has abstractyes

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