Lived Experiences of Hemodialysis Health Care Workers during the COVID-19 Pandemic: A Qualitative Study from the Quebec Renal Network
Notice bibliographique
Résumé
Key Points Hemodialysis workers' well-being and work were affected by the COVID-19 pandemics. Effective communication strategies and taking into account psychological distress are ways to mitigate the challenges faced by health care workers. Background The COVID-19 pandemic has disrupted health systems and created numerous challenges in hospitals worldwide for patients and health care workers (HCWs). Hemodialysis centers are at risk of COVID-19 outbreaks given the difficulty of maintaining social distancing and the fact that hemodialysis patients are at higher risk of being infected with COVID-19. During the COVID-19 pandemic, HCWs have had to face many challenges and stressors. Our study was designed to gain HCWs' perspectives on their experiences of the impacts of the COVID-19 pandemic in hemodialysis units. Methods Semistructured interviews were conducted with 22 HCWs (nurses, nephrologists, pharmacists, social workers, patient attendants, and security agents) working in five hemodialysis centers in Montreal, between November 2020 and May 2021. The content of the interviews was analyzed using thematic analysis. Results Four themes were identified during the interviews. The first was the impact of COVID-19 on work organization, regarding which participants reported an increased workload, a need for a consistent information strategy, and positive innovations such as telemedicine. The second theme was challenges associated with communicating and caring for dialysis patients during the pandemic. The third theme was psychological distress experienced by hemodialysis staff and the psychosocial impact of COVID-19 on their personal lives. The fourth theme was recommendations made by participants for future public health emergencies, such as maintaining public health measures, ensuring an adequate supply of protective equipment, and developing a consistent communication strategy. Conclusions During the first and second waves of the COVID-19 pandemic, HCWs working in hemodialysis units faced multiple challenges that affected their well-being and their work. To minimize challenges for HCWs in hemodialysis during a future pandemic, the health care system should provide an adequate supply of protective equipment, develop effective communication strategies, and take into account the psychological distress related to HCWs' professional and personal lives.
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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 | 0,000 |
| 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 | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».