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Enregistrement W4366084263 · doi:10.1227/neu.0000000000002419

A Reflection on Nursing in Neurosurgery

2023· article· en· W4366084263 sur OpenAlexaboutno aff
Douglas Kondziolka

Notice bibliographique

RevueNeurosurgery · 2023
Typearticle
Langueen
DomaineNeuroscience
ThématiqueCerebrospinal fluid and hydrocephalus
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineNeurosurgeryWonderGeneral partnershipNursingMedical educationPsychologySurgery

Résumé

récupéré en direct d'OpenAlex

Around the world in many countries, May is “Nurses Month” and May 12, International Nurses Day (Florence Nightingale's birthday). Thinking about this a few months ago led me to think how little we spend in the pages of this journal and others, on the value of nursing in neurosurgery. The cover this month highlights the partnership of nurses and neurosurgeons from years past and the present. My dear friend Dan Leksell shared this image of his father Lars Leksell performing air ventriculography, while his nurse assists with the imaging. Can we even think about the performance of neurosurgery without nursing support, whether in the office, the research environment, the operating room, the hospital wards, or the rehabilitation centers that often help our patients in their recoveries? Do we just take for granted that complex and challenging surgeries will be followed by excellent nursing care that lasts all night, the next day, and the day after that? Nurses talk to our patients when we are not there, reiterate our messages, and clarify and answer patient's questions. They become as familiar with new surgical techniques as we do, to understand their indications and potential outcomes. Then they work to make those outcomes possible. In the surgical suite, they must become familiar with new devices and do so expeditiously to meet our high standards. It is truly a wonder how over the course of their own career they evolve as we evolve, as our field evolves. Neurosurgical nursing is its own calling. As for any of us, the path is different from person to person. To become involved in the care of patients with challenging and debilitating neurological disorders, in one or more different clinical settings, is a commitment toward excellence. I personally think of our work as more a vocation than a career. We are so fortunate to have nurses in the practice setting who help us bring patients and families to an understanding of their own medical challenges and to help them navigate what is assuredly an anxious time. Their calm, unhurried demeanor can help them through a potentially frustrating interaction with the health care system, lessening worry and sleepless nights, at least to some degree. Nurses on the hospital wards provide the surgical aftercare of recovery, hopefully to a prompt return home, but sometimes toward an extended care stay that may develop into more personal contacts with patients, friends, and family. The hands-on, personal interactions involved are truly special and go far beyond the expectations of a “job.” In the surgical suite, our nurses have the same commitment to professionalism, communication, care, and error reduction as we do. This is displayed time and again, each time a new patient enters the room. And last, a personal note. Many years ago now, I married a neurosurgical nurse who had worked on the neurosurgery floor at the Toronto General Hospital and then in the operating room there. She later worked in the OR at the University of Pittsburgh Medical Center. She understood the field, the disorders we treat, and the personalities involved. Her nursing skills were also crucial to our family, including structure, planning, fearlessness, and tenderness. As my dear friend John Golfinos would say, “you can't spell neurosurgery without n-u-r-s-e.” I encourage you to think about the nurses you work with, in any of the different settings, and know that the wonderful science in these journal pages could not have happened without them. Douglas Kondziolka, MD, MSc Editor-in-Chief, Neurosurgery Publications New York, New York, USA

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)0,017
score de la tête « metaresearch » (Gemma)0,052
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: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,035
Score d'incertitude au seuil0,092

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0170,052
Méta-épidémiologie (sens strict)0,0030,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0020,002
Études des sciences et des technologies0,0250,018
Communication savante0,0180,022
Science ouverte0,0050,020
Intégrité de la recherche0,0350,075
Charge utile insuffisante (le modèle a refusé de juger)0,0150,007

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 Opus0,078
Tête enseignante GPT0,327
Écart entre enseignants0,248 · 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

Citations3
Publié2023
Routes d'admission1
Résumé présentoui

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