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Enregistrement W2316186577 · doi:10.1097/sla.0000000000001627

Improving Ward-based Patient Care

2016· article· en· W2316186577 sur OpenAlexaff
Philip H. Pucher, Rajesh Aggarwal

Notice bibliographique

RevueAnnals of Surgery · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueHospital Admissions and Outcomes
Établissements canadiensMcGill UniversitySt Mary's Hospital Centre
Organismes subventionnairesnon disponible
Mots-clésApprenticeshipMedicineMedical educationHealth careTask (project management)MultitudeNursing

Résumé

récupéré en direct d'OpenAlex

The clinician's visit to the bedside has for centuries represented the foundation of medical care and the primary point of interaction between doctor and patient. Despite the advances of 21st century medicine, the bedside visit continues largely unchanged today in the guise of the hospitalist's daily ward round. In a process which would have been familiar to Hippocrates and his acolytes, the ward round sees clinicians accompanied by a multitude of trainees and allied health professionals serially assess, diagnose, treat, and discuss often dozens of patients in turn, providing both clinical care and medical education. In addition to these myriad tasks, the modern clinician must now also contend with external regulatory and financial pressures, just as clinical care has gradually become ever more complex with a greater diagnostic and therapeutic armament than ever before. Medical knowledge is not enough; to lead an efficient ward round clinicians must be physicians, communicators, managers, and leaders. The Halstedian apprenticeship model in which trainees learn to conduct ward rounds through experience, trial, and error, belies the complexity of the task. The manner in which ward rounds are learned, taught, and performed must change. For many clinical skills, ranging from breaking bad news to performing laparoscopic surgery, it is understood that a curricular approach of structured deliberate training results in better learning and improved clinical performance. It is therefore perhaps unsurprising that there has been growing interest in addressing the issue of training and assessment for ward rounds, as well. Particularly in surgery, which has traditionally focused on the operative aspects of care, there has been a paradigm shift in how patient care is perceived. The concept of “failure to rescue” after surgery suggests that wide variations in surgical patient outcomes result overwhelmingly from failures in postoperative care.1,2 First described by Silber in 1992, failure to rescue is defined by the death of a patient from complications rather than from the primary diagnosis.3 Though initially restricted to postoperative complications in a surgical cohort, this concept has since been expanded to include medical patients also. Within surgery, a growing body of literature now suggests that failure to rescue is responsible for a significant large proportion of variability seen in patient outcomes, with postoperative care now increasingly the focus of efforts to improve outcomes. This need to improve ward-based care, and specifically to improve ward rounds, is reflected in part by dedicated modules included in the American College of Surgeons’ most recent trainee curriculum. In the United Kingdom, the Royal College of Physicians and the Royal College of Nursing have issued a joint guidance document calling specifically for a renewed focus on ward rounds.4 TRAINING AND ASSESSMENT If ward round performance is to be improved, it must first be measureable. Whereas historically educators have lacked the means to do so, a growing body of evidence in this area now provides a variety of tools with which to objectively assess, and improve, ward round practice through objective and reliable means. In seeking to quantify ward round quality, the design path of individual ward round assessment tools has been remarkably convergent. All studies to date have measured performance based on a “thoroughness of assessment” model, combined with an assessment of nontechnical skill.5 The completion, or omission, of tasks such as checking vital signs and prescription charts, physical examination of the patient, and articulation and documentation of a treatment plan, forms the basis for varied scoring frameworks, which may be used to assess clinicians’ ward round performance in conjunction with a rating of nontechnical skill or teamwork. Performance in this manner has also been linked to improved outcomes in at least one study,6 with improved ward round performance associated with a reduction in preventable postoperative complications. Whereas numerous assessment tools, with varying levels of validity evidence, for ward rounds, are now available, interventions to improve practice remain at a more nascent stage. Simulation-based approaches have shown some promise in this role, as have already been successfully adopted in other areas of clinical training. Alternately, rather than formalized educational interventions or curricula, some have advocated the implementation of checklists to improve care quality.7 However, with the potential of such interventions to become “box-ticking” exercises lacking the flexibility needed in the care of differing patients and diagnoses, their efficacy remains less clear. MODERNIZING THE WARD ROUND Though modern technologies and practices have moved beyond the historic origins of the bedside visit, this has not necessarily been reflected in current practice. In addition to improved training and assessment, organizational and technological modifications to the ward round may serve as synergistic adjuncts to improving care as well. In the United Kingdom, clinician pay packages account for defined time blocks (programmed activities) for all clinical activity, including ward rounds. In surgical specialties, it is not unusual for this to be limited to the equivalent of half an hour a day or less. Beyond the detection and treatment of pathology, such time pressures also endanger the human element of the ward round. In the modern clinician's world of ever-competing priorities, too often, the compassion and empathy that embody the foundation of the doctor–patient relationship can be placed at risk. If the conduct of rounds is to be recognized as an area of priority, then top-down reorganization may be required to redesign both work patterns and remuneration. Whereas patients were once the passive subjects of the round, they are increasingly now active participants in deciding the course of care. Direct involvement of patients and next-of-kin in care decisions is increasingly seen as vital to good practice. In a recent trial, medical ward rounds were conducted in both a standard fashion (patient and clinical staff only), and with family members invited to be present.8 Follow-up surveys of staff, patients, and family indicated an overwhelming preference for the latter format, despite concerns regarding potential limitations such as the increased time required for each round. In modernizing practice, there is a need to balance greater transparency and communication with pre-existing clinical commitments and limited staff availability. Greater integration of modern technologies into routine practice may provide means for faster, more efficient communication between staff and patients alike. With intuitive software design and an increasingly tech-literate population, it is conceivable that patients in near future might link directly into their medical notes on the ward not only to understand, but also actively contribute to care decisions. Electronic communication tools integrated into routine care might in this manner provide information on progress, diagnosis, and treatment to patients (and relatives) just as they feed back “real time” information on symptoms and concerns to the clinical team. Ongoing projects such as the OpenNotes trial, which has recruited some 25,000 patients who will be able to view their medical notes live via an online portal and seeks to assess impact on patient perceptions and outcomes, further exemplify the growing transparency of clinical practice which is likely to become the future norm.9 Though seemingly daunting, if patients are thus empowered to be more involved in their own recovery, and less inhibited in raising concerns, then this can only be of benefit. Further study on the assessment of rounds, and the means to improve them, is undoubtedly required. Though improvements in ward round quality, whether through educational curricula or otherwise, must ultimately be assessed for impact on clinical outcomes to be truly meaningful, the need to drive improvement and reduce failure to rescue rates is clear.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,640
Score d'incertitude au seuil0,229

Scores Codex et Gemma par catégorie

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

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 Opus0,115
Tête enseignante GPT0,324
Écart entre enseignants0,208 · 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 tête enseignante, pas un consensus.

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

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
Publié2016
Routes d'admission1
Résumé présentoui

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