Effective Multidisciplinary Antibiotic Stewardship: Integrating Laboratory Antimicrobial Resistance Analysis, Nursing Management Protocols, and Administrative Governance to Reduce Hospital-Acquired Infections
Notice bibliographique
Résumé
Background: The global proliferation of multidrug-resistant organisms (MDROs) has precipitated a crisis in modern healthcare, threatening to undermine the foundations of infection management. Hospital-acquired infections (HAIs) constitute a severe complication of inpatient care, affecting between 5% and 15% of hospitalized patients worldwide, with prevalence rising significantly in intensive care units (ICUs) and resource-limited settings. The conventional standard of care, characterized by vertical, single-discipline Antibiotic Stewardship Programs (ASPs) typically led by infectious disease physicians or clinical pharmacists, has achieved optimization in pharmacy procurement but has struggled to arrest the transmission of complex resistant pathogens such as Carbapenem-resistant Enterobacterales (CRE) and Candida auris. These traditional models often function in isolation, failing to integrate the critical "frontend" capabilities of bedside nursing and the diagnostic intelligence of the microbiology laboratory. Consequently, the Multidisciplinary Collaborative Management Model—a holistic framework integrating real-time Laboratory Antimicrobial Resistance Analysis, empowered Nursing Management Protocols, and robust Administrative Governance—has emerged as a promising alternative to address these systemic gaps. Objective: The primary objective of this systematic review is to comprehensively evaluate and compare the effectiveness of the Multidisciplinary Collaborative Management Model versus Standard Single-Discipline Stewardship in reducing the incidence of HAIs and optimizing antimicrobial utilization among adult inpatients in acute care settings globally. The review specifically aims to quantify the impact on MDRO detection rates, antimicrobial consumption metrics, and patient-centered outcomes including mortality and length of stay. Methods: A systematic review was conducted in strict adherence to the PRISMA 2020 guidelines. A comprehensive search strategy was executed across major bibliographic databases including PubMed, Embase, CINAHL, and Scopus, targeting literature published between 2010 and 2025. The review employed a rigorous PICO framework: Population (adult inpatients), Intervention (integrated multidisciplinary stewardship), Comparison (standard care/siloed ASP), and Outcomes (MDRO incidence, antibiotic consumption, mortality). Inclusion criteria encompassed randomized controlled trials (RCTs), quasi-experimental pre-post studies, and prospective cohorts. Risk of bias was assessed using the Cochrane Risk of Bias tool (RoB 2.0) for trials and the Newcastle-Ottawa Scale (NOS) for observational studies. Data were synthesized using a narrative approach complemented by tabulated quantitative comparisons. Results: The review identified 37 studies meeting the inclusion criteria, encompassing data from over 3,000 participants across diverse healthcare settings including China, the United Arab Emirates, Europe, and Sub-Saharan Africa. The synthesis of evidence indicates a superior efficacy of the multidisciplinary model. Primary outcome analysis revealed that integrated interventions reduced the overall MDRO detection rate from 60.1% to 52.5% in high-prevalence settings, with specific reductions in Carbapenem-resistant Klebsiella pneumoniae (CRKP) of nearly 9%. Antimicrobial consumption, measured in Defined Daily Doses (DDDs), decreased significantly, with one large-scale study reporting a reduction in Antibiotic Use Density (AUD) from 50.15 to 35.76 DDDs per 100 patient-days. Secondary outcomes demonstrated a profound clinical impact: the integration of rapid diagnostic tests with stewardship teams reduced the time to optimal therapy by approximately 29 hours and was associated with a 28% reduction in mortality odds (OR 0.72). Nursing-led protocols significantly improved compliance with de-escalation strategies and infection prevention bundles, although sustainability remained a challenge without administrative backing. Conclusion: The Multidisciplinary Collaborative Management Model represents a significant advancement over standard stewardship approaches. By effectively coupling the diagnostic precision of the laboratory with the continuous surveillance of bedside nursing and the enforcement power of administrative governance, healthcare facilities can achieve substantial reductions in both antimicrobial resistance and HAI incidence. The findings suggest that future clinical practice must dismantle disciplinary silos in favor of integrated governance structures. Future research should prioritize the economic analysis of these interventions in low-resource settings and explore the role of automated digital surveillance in sustaining compliance.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».