A phenomenological enquiry into the personal resilience of NHS executive leaders in England
Notice bibliographique
Résumé
Executive leaders within the National Health Service (NHS) operate within a highly pressurised, constantly changing, and performance focused environment. They are burdened with bureaucratic regulation, political and public scrutiny that emphasises their inadequacies over their successes (Janjua, 2014; Rose, 2015; Timmins, 2016). Personal resilience is needed to operate effectively as an executive leader within the NHS (Rose, 2015; Kelly et al., 2016) yet a review of the literature identifies that the personal resilience of NHS executive leaders is an understudied phenomenon. This study addresses this gap in knowledge. Interpretive Phenomenological Analysis (IPA) was utilised to explore and interpret the lived experience of being personally resilient for nine NHS executive leaders in England during 2017 and 2018. Participants hold portfolios representative of the executive director of nursing, medicine, finance, human resources, operations, and the chief executive officer. Three superordinate themes are identified including: being exposed, developing personal resilience, and moving forward. These findings add new knowledge in relation to the stressors facing NHS executive leaders, how they experience personal resilience, and the distinguishing enablers of their personal resilience. Stress from personal exposure, various forms of loss and moral issues are identified as distinctive stressors in relation to participants’ executive leadership roles. The perceived intensity of this personal exposure, loss of humanity, and identity issues distinguish participants against the stressors documented within the existing body of leadership resilience literature. Participants experience personal resilience as a continual process of seeking out and taking action against stressors. This challenges the well documented concept within resilience theory that defines personal resilience as a response. Metaphorically ‘becoming stuck’ uniquely describes being unable to be resilient for these leaders. An alternative perspective on the established ‘fight, flight, freeze’ stress response is offered in relation to these findings. Personal resilience is enabled for these leaders by actively seeking out ways to develop their resilience, the transferable qualities surrounding their perceived personal energy and motivation, utilisation of positive framing, and a complexity of supportive relationships. The purposeful, complex, and interconnected nature of these supportive relationships adds a unique multi-directional perspective surrounding the utilisation of social support for this leadership community. These findings also augment our understanding of the concepts of thriving, posttraumatic growth, psychological capital, and the broaden-and-build theory of positive emotion in relation to personal resilience of these leaders. Findings in this study align to the perspective that personal resilience is a complex, dynamic, subjective, and contextual phenomenon. Future lines of enquiry are presented to further augment understanding of this phenomenon for both NHS executive leaders, and the leadership community more broadly.
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 | 0,008 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,012 | 0,015 |
| Communication savante | 0,006 | 0,007 |
| Science ouverte | 0,001 | 0,007 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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.
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 ».