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Enregistrement W2334548468 · doi:10.1227/01.neu.0000452313.53742.65

“Time Out” For Surgical Safety Checklists?

2014· article· en· W2334548468 sur OpenAlexaboutno aff
Michael Wang, John Serak

Notice bibliographique

RevueNeurosurgery · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueCardiac, Anesthesia and Surgical Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineMEDLINEMedical physics

Résumé

récupéré en direct d'OpenAlex

In 2009, a major study by the World Health Organization (WHO) in conjunction with the Harvard School of Public Health was published in The New England Journal of Medicine. This study demonstrated significant improvement in surgical complications and mortality with the implementation of a simple checklist (Table) used preoperatively, perioperatively, and postoperatively.1 This prospective observational study was carried out in 8 hospitals around the globe and compared outcomes before checklist implementation (3733 consecutive patients) and after implementation (3955 patients). All patients underwent noncardiac surgery and were at least 16 years old. There was no difference in the proportion of urgent cases, outpatient cases, use of general anesthesia, or case mix. Medical personnel were formally educated on the use of checklists before implementation. Complications were defined by the American College of Surgeons’ National Surgical Quality Improvement Program: acute renal failure; bleeding requiring transfusion of ≥ 4 units of red cells within the first 72 hours after surgery; cardiac arrest requiring cardiopulmonary resuscitation; coma of ≥ 24 hours’ duration; deep venous thrombosis; myocardial infarction; unplanned intubation; ventilator use for ≥ 48 hours; pneumonia; pulmonary embolism; stroke; major disruption of wound; infection of surgical site; sepsis; septic shock; systemic inflammatory response syndrome; unplanned return to the operating room; vascular graft failure; and death. Patients were followed up until discharge or for up to 30 days, whichever came first. When the results of all centers were combined, the rate of complications and death decreased from 11% to 7% (P < .001) and 1.5% to 0.8% (P = .003), respectively. Notably, 2 sites did not use intraoperative pulse oximetry and 3 sites did not use routine preoperative prophylactic antibiotics before checklist implementation. However, exclusion of any 1 site from the statistical analysis did not affect the significance of the outcomes. Despite a number of shortcomings with the study, the marked benefit in overall morbidity and mortality led to the rapid adoption of surgical checklists in the United States after the publication of the study. This is likely due to the low cost and low risk of implementation. Additionally, the findings have been bolstered by several subsequent smaller studies with similar results. But can the results of this WHO study be generalized, especially to hospitals in developed countries?From N Engl J Med, Haynes AB, Weiser TG, Berry WR, et al, A surgical safety checklist to reduce morbidity and mortality in a global population, Volume No. 360(5), Page No. 491-499, Copyright © (2009) Massachusetts Medical Society. Reprinted with permission from Massachusetts Medical Society.Recently, a large study was published in The New England Journal of Medicine examining the effect of surgical checklist implementation in Ontario, Canada.2 Of the 133 hospitals in Ontario, 101 hospitals were included in the analysis, providing data on 109 341 operations before implementation and 106 370 operations after implementation. Seventy-nine centers used the Canadian Patient Safety Institute checklist; 9 used customized checklists; and 4 used the WHO checklist. Nine centers did not provide information on the checklist used. Outcome was independent of which checklist was used. Self-reported checklist compliance was 99% to 100% at 97 hospitals; the lowest reported compliance was 91.6%. In contrast to the WHO study, which included only complications occurring during the postoperative inpatient stay, all complications occurring within 30 days of operation were analyzed. The definition of a complication was the same definition used in the WHO study. The results demonstrated no significant difference in mortality rates (0.71% vs 0.65%) or complication rates (3.86% vs 3.82%). Hospital length of stay showed a slight, significant reduction after checklist implementation (5.11 vs 5.07 days; P = .003). There was no difference in the number of emergency department visits or readmissions. Thus, the results of this Canadian study do not support the robust improvement in surgical safety demonstrated by the WHO. Does this mean that hospitals around North America have misallocated resources in the implementation of surgical checklists? Criticism of the recent Ontario study derives from a potential lack of consistency in proper use of the surgical checklist resulting from a lack of formalized training of hospital staff. In addition, hospitals self-reported the use of this mandatory checklist, and the reported compliance may be inflated compared with the WHO study, which carefully monitored use. Additionally, no single checklist was used by all centers. These factors may confound study results to some extent, but the methodology of the study reflects the effect of checklist implementation in a real-world scenario within a developed nation. Operating on a human being is an extraordinarily complex and orchestrated task that requires attentiveness to detail and situational awareness by all team members. Checking a box is no substitute for critical thinking. Although there is no harm in spending 1 to 2 minutes ensuring that the simplest (and easiest to overlook) components of a successful procedure are in order, reliance on checklists beyond this should be avoided. Common sense and prudence should be exercised in the implementation and adaptation of surgical safety checklists to ensure that hospital staff and administration understand the significance and the limitations of the checklist.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,064
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,040

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,064
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,003
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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.

Tête enseignante Opus0,016
Tête enseignante GPT0,265
Écart entre enseignants0,250 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2014
Routes d'admission1
Résumé présentoui

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