PROTOCOL FOR REDUCING TIME TO ANTIBIOTICS IN FEBRILE NEONATES PRESENTING TO THE EMERGENCY DEPARTMENT: A QUALITY IMPROVEMENT INITIATIVE
Notice bibliographique
Résumé
BACKGROUND: Febrile neonates are at high risk of morbidity and mortality from infectious causes. This risk further increases if antibiotics are not received in a timely manner. Current guidelines recommend early initiation (less than 1 hour) of antibiotics for patients with severe sepsis. Time-to-antibiotic administration (TAA) should also be targeted as a quality-of-care (QOC) measure for febrile neonates. A previous evaluation showed that most of these patients were not receiving antibiotics in the first hour at our emergency department (ED). OBJECTIVES: We evaluated whether a simple quality improvement protocol would improve the proportion of febrile neonates receiving antibiotics within 60 minutes of arrival to the ED. DESIGN/METHODS: This was a pre-post intervention study conducted in the ED of an academic pediatric tertiary care hospital with an annual volume of approximately 83,000 patients in 2014-2016. Participants were a random sample of all children younger than 28 days old visiting the ED for a febrile illness. The new protocol, which consisted for the nurses, after triage, to place the patients directly in the resuscitation room for immediate assessment by a physician, was implemented in February 2016. Previously, these children were triaged level 2 on the Canadian Triage and Acuity Scale (CTAS), flagged and placed in a regular examination room waiting for the physician assessment. With the new protocol, IV access, blood culture, urine analysis and culture were immediately obtained by the nurse in charge with the concomitant assessment by the attending physician. Forty charts prior to and 50 charts after protocol initiation were reviewed by an archivist using a standardized form between 2014-2015 and 2016, respectively. The primary outcome was TAA. This was defined as the time from initial ED registration to the beginning of antibiotics infusion. As a secondary outcome, all cases were reviewed individually to determine barriers to rapid antibiotic administration (day, evening, or night shifts, other treatments or investigations, number of attempts for intravenous access) and to elicit new quality improvement strategies. RESULTS: During the study periods a total of 178 (pre) and 135 (post) patients fulfilled the inclusion criteria. Among the random samples, 6/50 (12%) of patients received their antibiotics within 60 minutes in the post-intervention period compared to 0/40 (0%) in the pre-implementation period (difference 12%; 95 CI: 1-24%). Within 90 minutes, the proportion improved from 1/40 (2.5%) to 29/50 (58%) (difference 56%; 95 CI: 38-68%). Median TAA in febrile neonates decreased from 182 minutes (interquartile range, 147-219 minutes) in the pre-implementation period to 85 minutes (interquartile range, 73-115 minutes) in the post-implementation period. The main obstacle to the goal of 60 minutes for TAA was the difficulty to get IV access as well as antibiotic availability. CONCLUSION: In this study, a new protocol mandating the immediate transfer of febrile neonate from triage to the resuscitation room improved proportion of febrile neonates receiving antibiotics in less than 60 minutes in our ED. Our results suggest that simple interventions can reduce TAA in a selected group of patients presenting to the ED.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,074 | 0,073 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,004 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,004 | 0,006 |
| Intégrité de la recherche | 0,002 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».