The <scp>ILC</scp> Maine statement: Time for the fundamental care [r]evolution
Notice bibliographique
Résumé
AIM: The aim of this study was to present the third position statement from the International Learning Collaborative (ILC). The ILC is the foremost global organization dedicated to transforming fundamental care. Internationally, fundamental care is reported to be poorly delivered, delayed or missed, negatively impacting patients, their families/carers and healthcare staff and systems. Overcoming this global challenge requires profound transformation in how our healthcare systems value, deliver and evaluate fundamental care. This transformation will take both evolutionary and revolutionary guises. In this position statement, we argue how this [r]evolutionary transformation for fundamental care can and must be created within clinical practice. DESIGN: Position paper. METHODS: This position statement stems from the ILC's annual conference and Leadership Program held in Portland, Maine, USA, in June 2023. The statement draws on the discussions between participants and the authors' subsequent reflections and synthesis of these discussions and ideas. The conference and Leadership Program involved participants (n = 209) from 13 countries working primarily within clinical practice. RESULTS: The statement focuses on what must occur to transform how fundamental care is valued, prioritized and delivered within clinical practice settings globally. To ensure demonstrable change, the statement comprises four action-oriented strategies that must be systematically owned by healthcare staff and leaders and embedded in our healthcare organizations and systems: Address non-nursing tasks: reclaim and protect time to provide high-value fundamental care. Accentuate the positive: change from deficit-based to affirmative language when describing fundamental care. Access evidence and assess impact: demonstrate transformation in fundamental care by generating relevant indicators and impact measures and rigorously synthesizing existing research. Advocate for interprofessional collaboration: support high-quality, transdisciplinary fundamental care delivery via strong nursing leadership. CONCLUSION: The ILC Maine Statement calls for ongoing action - [r]evolution - from healthcare leaders and staff within clinical practice to prioritize fundamental care throughout healthcare systems globally. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: We outline four action-oriented strategies that can be embedded within clinical practice to substantially transform how fundamental care is delivered. Specific actions to support these strategies are outlined, providing healthcare leaders and staff a road map to continue the transformation of fundamental care within our healthcare systems. IMPACT: Fundamental care affects everyone across their life course, regardless of care context, clinical condition, age and/or the presence of disability. This position statement represents a call to action to healthcare leaders and staff working specifically in clinical practice, urging them to take up the leadership challenge of transforming how fundamental care is delivered and experience globally. PATIENT OR PUBLIC CONTRIBUTION: Patients, service users and caregivers were involved in the ILC annual conference, thus contributing to the discussions that shaped this position statement. WHAT DOES THIS PAPER CONTRIBUTE TO THE WIDER GLOBAL CLINICAL COMMUNITY?: The strategies and actions outlined in this position statement are relevant to all clinical settings globally, providing practical strategies and actions that can be employed to enhance fundamental care for all patients and their families/carers. By outlining the importance of both evolutionary and revolutionary change, we identify ways in which healthcare systems globally can begin making the necessary steps towards radical fundamental care transformation, regardless of where they are in the change journey.
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 | 0,020 | 0,074 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,006 | 0,009 |
| Communication savante | 0,017 | 0,007 |
| Science ouverte | 0,004 | 0,012 |
| Intégrité de la recherche | 0,016 | 0,025 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,049 | 0,026 |
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 ».