Notice bibliographique
Résumé
April 2021–another exciting and informative issue of Pediatric Critical Care Medicine (PCCM). There are three articles for this month’s Editor’s Choice. Please also look at the announcement about PCCM Narratives, Letters, and Correspondence in the PCCM Notes, Methods, and Statistics section (1). Each of my Editor’s Choice articles are focused on the theme of teamwork and practice improvement. In PCCM’s Online First section, over the last few months, these articles have already attracted significant attention. The first article is about real-time coaching and cardiopulmonary resuscitation (CPR) in the setting of simulated pediatric cardiac arrest (2). The second article reports on a before-versus-after study focused on standardizing work rounds in the PICU (3). My third choice describes sustainability and lessons learned 3 years after implementing an early mobilization program in the PICU (4). All three articles (2–4) and their related editorials (5–7) will be freely available for the next 2 months. DOES THE ADDITION OF A TRAINED CPR COACH TO PEDIATRIC RESUSCTIATION TEAMS HAVE THE POTENTIAL TO MAKE A DIFFERENCE? Kessler DO, Grabinski Z, Shephard LN, et al: Influence of Cardiopulmonary Resuscitation on Interruptions in Chest Compressions During Simulated Pediatric Cardiac Arrest (2). This article describes the consequence of randomization of CPR teams in a cardiac arrest simulation, to either include the presence of a trained CPR coach, or to have an additional member who does not work as a coach. The study involved four centers in Canada and the United States, with 200 health care professionals participating in a number of 5-person resuscitation teams. Our editorialists discuss the implications of the results but, more importantly, the need for a paradigm shift in how we think about team support and activity and the application of simulation research to real-life resuscitation events (5). ARE THERE BENEFITS TO STANDARDIZING PICU WORK ROUNDS? Lucrezia S, Noether J, Sochet AA: Standardized Work Rounds Enhance Teaming, Comprehensiveness, Shared Mental Model Development, and Achievement Rate of End-of-Shift Goals (3). This article describes two pre-to-post Plan-Do-Study-Act cycles involving 154 PICU work round encounters with a nurse-led, team-science approach (definitely look at Figure 1 in the article for a clearer understanding). Our editorialists help us to see the importance of the report and ask two questions related to everyday clinical care: ‘what could we do better?’ and ‘how does better teamwork lead to better patient care?’ (6). CAN WE INITIATE, INTEGRATE AND SUSTAIN THE PICU-CULTURE CHANGES NEEDED FOR PRACTICING EARLY PATIENT MOBILIZATION? Patel RV, Redivo J, Nelliot A, et al: Early Mobilization in a PICU: A Qualitative Sustainability Analysis of PICU Up! (4) The third article is a much-needed follow-up detailing interprofessional perspectives, engagement, and practice 3 years after starting a PICU mobilization program. (The figures are definitely worth reviewing; in color too). The accompanying editorial is written by Dr. Brenda Morrow, one of the new Senior Associate Editors at PCCM, who guides us through the challenges and necessity of qualitative research (70. This month, the three Editor’s Choice articles serve as important updates for general education in what’s new in research related to PICU teamwork in everyday practice, these are: the potential benefits of a coach for real-time CPR (2); the reframing of work rounds in the PICU (3); and, real-world sustainability of new practice initiatives such as early mobilization (4). All are good reading material as evidenced by their already impressive Altmetric scores.
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 | 0,006 | 0,052 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,009 | 0,005 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,007 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,295 | 0,142 |
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 ».