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Enregistrement W2808069815 · doi:10.1111/jocn.14547

Response to Commentary on Cheng, Broome, Feng, and Hu (2017) Leadership behaviours play a significant role in implementing evidence‐based practice. Journal of Clinical Nursing, 2018;27:e1684–e1685

2018· article· en· W2808069815 sur OpenAlexaboutno aff
Lei Cheng, Sheng Feng, Yan Hu, Marion E. Broome

Notice bibliographique

RevueJournal of Clinical Nursing · 2018
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHealth Sciences Research and Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésContext (archaeology)AcknowledgementLeadership developmentEvidence-based practicePsychologyLeadership styleEditor in chiefTransformational leadershipPublic relationsMedical educationManagementPolitical scienceMedicineSocial psychologyAlternative medicineComputer science

Résumé

récupéré en direct d'OpenAlex

Thank you for the opportunity to respond to Hu and Gifford's comments (Hu & Gifford, 2018). We appreciated their acknowledgement of our findings about the factors influencing the successful implementation of evidence-based practice (EBP). The authors described leadership behaviours as having a significant role in implementing evidence-based practice. Although we did not specifically discuss leadership in the previous paper (Cheng, Broome, Feng, & Hu, 2017a), we agree and acknowledge the importance of leadership during evidence implementation. It was interesting to read about Hu and Gifford's work in progress related to the study of leadership behaviours in EBP. In subsequent papers, we have further explicated the role of leaders in EBP and therefore wish to offer further insights in this commentary. Hu and Gifford (2018) described two measures (i.e., O-MILe and ILS) that have been developed and validated to assess leadership in the EBP context based on the literature. These measures will be very important to scholars of EBP implementation. In our work, three questions arose related to leadership in this context and go beyond just the behaviours evidenced by leaders: (a) Who are the leaders for evidence implementation; (b) what is essential preparation for the leaders; and (c) how do the leaders manifest their roles during the implementation. By reviewing the 24 implementation projects, we found many formal leaders, for example, nurse managers, staff nurses and faculty members. Their leadership is exemplified and differentiated by the implementation approaches they take, for example, top-down, bottom-up and outsider-in (Cheng, Broome, Feng, & Hu, 2017b). Meanwhile, informal leader that might complement the formal project leaders’ role during evidence implementation was also evident. For instance, staff nurse champions emerged in some projects to assist the leaders in educating colleagues, auditing actual performance and solving problems. Some staff nurses who were informal leaders also expressed their wiliness to become a formal leader to fill a new “gap” which became evident during implementation. This pattern of formal and informal leadership intertwined together to make the evidence “take root” in nursing practice. Thus, there is a need to prepare evidence implementation leadership at all levels of the health system. Although there had not been any formal requirements, we did find some common characteristics among those “successful/effective” formal and informal leaders. First, the leaders had a passion about looking for the latest evidence to solve patient care problems in nursing practice. They were aware of the needs of clinical settings and knew exactly what the gaps were. Second, they shared and exchanged their views with stakeholders across disciplines, for example, administrators, medicine, nursing, pharmacy, physiotherapy, logistics and information systems. Sometimes, they took on the informal role of “knowledge broker” as part of the leadership role, by identifying key attributes of the evidence that might be used and analysed the context and achieve the census among the stakeholders on implementation plans. Third, during the implementation, the leaders wisely allocated resources and struck a common ground where each stakeholder would be able to understand and achieve their own goal. In order to move the projects forward, they had to keep alert constantly to align the overlapping goals between person and system. Finally, leaders were able to foresee the proximal and long-term outcomes, as well as tangible and intangible impacts from evidence implementation. This vision lay behind their every act (even sacrificing personal time) and kept them persisting on this evidence implementation leadership journey. We realise that some of these behaviours are measured in Ottawa Model of Implementation Leadership (Gifford, Graham, Ehrhart, Davies, & Aarons, 2017). However, the qualitative approach that we took enabled us to paint a better picture of the “process of leadership” versus just the isolated behaviours evidenced by leaders as measured by quantitative scales. We found that leaders were often formally appointed by the hospitals, while other times they naturally took the lead. However, in either situation, they engaged in a variety of behaviours designed to keep “the projects moving.” For example, they responded to a particular clinical context, worked in a collective manner, engaged in strategic planning and functional management, exhibiting multifaceted behaviours at multiple levels. Support from higher administration was critical for the leaders fully play out their roles, especially for the bottom-up and outsider leaders. In a more recently published paper in the Journal of Nursing Management (Cheng, Feng, Hu, & Broome, 2018), we further analysed data from the previous study and provided exemplars for a better understanding of the nurse managers’ leadership role during evidence implementation. We found it important to consider “hierarchy and obedience” as important concepts in the mainstream culture of the Chinese existing health care system, and suggest enhancing managerial support with recognition of their efforts and preparation of the leaders as facilitators to integration of the best available evidence into nurses’ workflow. As Hu and Gifford pointed out in their commentary, leadership is much more than a role, position or status. Their work, as well as ours and others, has begun to build a more comprehensive picture of leadership and provide a deeper and broader understanding of how evidence-based practice can be achieved. However, the leadership for evidence implementation needs further exploration from the perspectives of staff nurse leaders, outsider leaders as well as the informal nursing leaders in various levels that assisted in compensating the formal leadership of nursing managers. None. None to declare.

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)0,011
score de la tête « metaresearch » (Gemma)0,131
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 enseignants0,040
Score d'incertitude au seuil0,094

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0110,131
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,003
Bibliométrie0,0020,002
Études des sciences et des technologies0,0060,005
Communication savante0,0040,007
Science ouverte0,0070,005
Intégrité de la recherche0,0400,057
Charge utile insuffisante (le modèle a refusé de juger)0,0170,013

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 Opus0,495
Tête enseignante GPT0,649
Écart entre enseignants0,154 · 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

Citations1
Publié2018
Routes d'admission1
Résumé présentoui

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