Visualising the voices of nursing: a co-designed video capturing the lived experiences of nurses in Northern Ireland during the COVID-19 pandemic
Notice bibliographique
Résumé
Abstract Background Nurses were at the forefront of managing the COVID-19 pandemic. In response, the Royal College of Nursing in Northern Ireland commissioned a longitudinal qualitative survey using the Cognitive Edge SenseMaker ® tool to capture nurses’ experiences of delivering care from April 2020 to March 2021. Aim To explore the effect of a co-designed video based on the findings of SenseMaker ® , of the lived experience of nurses in Northern Ireland during the 2020/2021 global pandemic. Method Quotes were selected from the SenseMaker ® report of nurses’ ( n = 676) which conveyed the experiences of nurses during COVID-19. Three co-design workshops were conducted. The first covering the plan for extraction of data from the SenseMaker ® report, the second content development and script writing and the third covering feedback and revisions. The video was filmed and edited in the Drama Studies, School of Arts, English and Languages, Queen’s University Belfast. The live launch event took place in the Royal College of Nursing conference venue on 8th February 2024. Data to gauge the effect of the video were gathered via audience participation, MS Teams Version 1.7. chat participation, Mentimeter poll and MS forms survey. The link for the video and survey was accessible via the School of Nursing and Midwifery, Queens University Belfast website after the launch event. The findings were analysed using systematic text condensation using NVivo version 1.6. The study was approved by the Faculty of Medicine, Health and Life Sciences research committee at Queen’s University Belfast following peer review (REC Reference: MHLS 23_100). Results Twenty-eight participants completed the survey; 30 participants attended the live event. Overall, 93% ( n = 26) of participants confirmed that the video-based monologues effectively conveyed the emotional perspective and lived experiences of nurses during the COVID-19 pandemic. Four themes emerged - personal reflection and emotional effect, connection and solidarity amidst disappointment, moral injury and resentment, lessons learned and the need for change. Conclusion Wider dissemination of the co-created video-based narratives, with focus on advocacy to policy makers, is needed to prioritise the emotional well-being of nurses and other professionals. There is potential in using video-based monologies to facilitate positive change and better support for professionals, including nursing students in future crises. Further research is needed to assess the broader effect of such healthcare-related research methodologies.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».