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Record W2996112071 · doi:10.4212/cjhp.v72i6.2945

Implementation of a Clinical Decision Support Tool to Improve Antibiotic IV-to-Oral Conversion Rates at a Community Academic Hospital

2019· article· en· W2996112071 on OpenAlexaffvenue
Tiffany Kan, Derrick Kwan, Thomas Chan, Pavani Das, Sumit Raybardhan

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsCentre for Addiction and Mental HealthUniversity of Toronto
Fundersnot available
KeywordsPsychological interventionAntimicrobial stewardshipMedicineAntibioticsAuditClinical decision support systemIntervention (counseling)NursingAntibiotic resistanceDecision support systemBusiness

Abstract

fetched live from OpenAlex

ABSTRACTBackground: Antibiotic IV-to-oral (IV–PO) conversion is a key initiative of antimicrobial stewardship programs. Guidelines and education are commonly described interventions to promote IV–PO conversion; however, technological interventions may be more effective in changing practice. Objective: To determine the impact of a clinical decision support (CDS) tool on the adoption and sustainability of an antibiotic IV–PO conversion program at a community-academic hospital.Methods: A quasi-experimental study consisting of 3 phases was conducted. During phase 1, the pre-intervention antibiotic IV–PO conversion rate was determined. During phase 2, the IV–PO conversion policy was updated, education was provided to pharmacists and physicians, and a post-intervention evaluation was conducted. During phase 3, a CDS tool was developed to generate real-time electronic alerts prompting pharmacists to assess antibiotic therapy, and post-intervention audits were performed 1 month, 3 months, and 15 months after implementation of the tool. Pantoprazole IV–PO conversion was assessed during each phase as a non-equivalent dependent variable. The primary outcome was the proportion of patients eligible for IV–PO conversion who were switched to oral therapy. Results: Of 332 patients receiving targeted IV antibiotic therapy during the overall study period, 122 (37%) met the criteria for IV–PO conversion. The phase 2 IV–PO conversion rate of 35% (9/26) was comparable to the pre-intervention rate of 29% (10/35) (p = 0.61). Implementation of the CDS tool significantly increased the conversion rate to 78% (14/18), an increase that was sustained at 3 months (71% [17/24]) and 15 months (74% [14/19]) after implementation (p < 0.05 for all comparisons with phases 1 and 2). Pantoprazole conversion rates were similar across all phases.Conclusions: Implementation of the CDS tool was effective in improving and sustaining antibiotic IV–PO conversion rates and enhancing policy compliance beyond the effects of policy revision and education. Refinement of both the policy and the tool is warranted to maximize adoption of the IV–PO conversion program.RÉSUMÉContexte: Le passage de l’antibiothérapie par voie intraveineuse (IV) à la voie orale (PO) (IV-PO) est une initiative clé des programmes de gestion des antimicrobiens. On a communément recours à des formations et à des lignes directrices pour encourager le passage d’une voie à l’autre; cependant, les interventions technologiques sont parfois plus efficaces pour favoriser le changement de pratique. Objectif : Déterminer l’impact d’un outil d'aide à la décision clinique (ADC) sur l’adoption et la viabilité d’un programme de conversion IV-PO dans un hôpital universitaire.Méthodes : Une étude quasi expérimentale en trois phases a été menée. La première phase a permis la détermination du taux de conversion IV-PO avant l’intervention. La deuxième phase concernait l’actualisation de la politique de conversion IV-PO, la formation des pharmaciens et médecins et la conduite d’une évaluation après l’intervention. La troisième phase a vu le développement d’un outil ADC qui génère des alertes électroniques en temps réel pour inciter les pharmaciens à évaluer l’antibiothérapie. Des évaluations ont en outre été effectuées 1 mois, 3 mois et 15 mois après la mise en place de l’outil. Le passage de l’administration du pantoprazole par voie intraveineuse (IV) à voie orale (PO) a été évalué au cours de chaque phase comme une variable dépendante non équivalente. Le résultat principal fut la proportion de patients admissibles à la conversion IV–PO qui ont été orientés vers un traitement par voie orale.Résultats : Des 332 patients recevant une antibiothérapie ciblée par voie intraveineuse (IV) pendant l’étude, 122 (37 %) répondaient au critère de la conversion IV–PO. Le taux de conversion IV–PO de 35 % (9/26) de la phase 2 était comparable au taux avant l’intervention de 29 % (10/35)(p = 0,61). La mise en place de l’outil ADC a grandement augmenté le taux de conversion, qui est passé à 78 % (14/18) : une augmentation maintenue trois mois (71 % [17/24]) et 15 mois (74 % [14/19]) après la mise en place (p < 0,05 par rapport aux phases 1 et 2). Les taux de conversion du pantoprazole étaient similaires durant toutes les phases.Conclusions : La mise en place de l’outil ADC a permis d’améliorer et de maintenir les taux de conversion IV–PO et de renforcer le respect des politiques au-delà des effets de la révision des politiques et de la formation à celles-ci. Le perfectionnement de la politique et de l’outil se justifie pour maximiser l’adoption du programme de conversion IV–PO.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.023
GPT teacher head0.358
Teacher spread0.335 · 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.

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".

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Citations10
Published2019
Admission routes2
Has abstractyes

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