Quality Improvement of Venous Thromboembolism Prophylaxis in Neurological Surgery: Ochsner Health System Protocol
Notice bibliographique
Résumé
BACKGROUND: Venous thromboembolism (VTE) is a common postoperative complication. The perioperative incidence of VTE in patients undergoing neurosurgery on VTE chemoprophylaxis is consistently between 1.7% and 3.5%, excluding patients with trauma. While the majority of VTEs are asymptomatic, symptomatic VTEs may result in serious adverse events or death. There are limited neurosurgery society guidelines making VTE prophylaxis recommendations for patients undergoing cranial or spine neurosurgery. Several societies have published VTE prophylaxis guidelines for neurosurgery, but inconsistent recommendations have led to varied practices based on neurosurgeon preference. OBJECTIVE: This study aims to assess whether implementing a single protocol of VTE guidelines at a large hospital system department of neurosurgery would decrease the rate of VTE incidence by 50% within a 12-month period. METHODS: This project uses a department-wide protocol of chemical prophylaxis for admitted patients after neurological surgery. This quality improvement (QI) project has been designed and reported in accordance with the SQUIRE 2.0 (Standards for Quality Improvement Reporting Excellence) guidelines. SQUIRE is the most appropriate framework for reporting system-level interventions aimed at improving health care quality, safety, and outcomes. This manuscript addresses all relevant SQUIRE elements. The primary outcome is the VTE incidence over 12 months following protocol implementation. Secondary outcomes include the incidence of pulmonary embolism, length of hospital stay, and unexpected treatment of patients, such as therapeutic anticoagulation, thrombolysis, or emergency surgical or catheter-directed embolectomy. Balancing measures and process measures are also considered. Interim analyses with department reports will be performed every 3 months, but every VTE event will trigger an analysis of the variables described in this protocol. Analyses will consider barriers to change and adequacy of the protocol to guide protocol modifications and continuous implementation of improvements. RESULTS: This QI project was approved on February 16, 2023 (protocol ID NEU20230216-01). Adaptation and training began on August 1, 2023. As of May 2024, data collection is ongoing and scheduled to conclude by December 2024. Final data analysis is anticipated in March 2025, with results submitted for publication by the end of 2025. CONCLUSIONS: It is anticipated that this QI project implementing a department-wide protocol for chemical prophylaxis in patients undergoing neurosurgery will improve the rates of VTE in patients on our service. In addition to a discussion of our results, we provide a comprehensive review of the literature and establish a gap in consistent published guidelines for VTE prophylaxis in patients undergoing neurosurgery. Results from this QI project will provide evidence for the effectiveness of a unified protocol of VTE prophylaxis in this patient group. Furthermore, outcomes from this study may be used as the basis for guideline recommendations and will benefit not only our department but may be used for QI of patient care at other hospitals. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/57278.
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 | 0,194 | 0,171 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,004 |
| Bibliométrie | 0,004 | 0,006 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,004 | 0,006 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,002 |
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 ».