Perspectives on Work in the Continuing Care Sector during and after the COVID-19 Pandemic: A Mixed-Method Design
Notice bibliographique
Résumé
Background. Improving the recruitment and retention of healthcare workers in the continuing care sector is critical to ensuring adequate care for older adults, which was highlighted following the COVID-19 pandemic. Purpose. The purpose of this study was to understand the perceptions of prospective registered nurses about working in the continuing care sector and identify workplace attributes that attract prospective nurses to the sector. Methods. A sequential mixed methods study was conducted with nursing students at Ontario Tech University. Focus groups (n = 14) asked students to comment on views about working in the continuing care sector, and job attributes that may attract them to the sector. Focus group data were analyzed using thematic analysis. Subsequently, a cross-sectional survey asked students to respond to elicited choice job scenarios that varied job attributes. The job attributes were shaped by the focus group interview data. To assess respondent’s preferences, the survey data (n = 139) were analyzed to generate willingness-to-pay (WTP) values for each job attribute. Results. Focus group interviews suggested that fair compensation, optimal client-to-staff ratios, unionized work environments, comprehensive benefits packages, and flexible work arrangements were important job attributes. In survey results, 18.0% expressed interest in working in the continuing care sector compared to 75.5% in acute care. Regression analysis suggested that higher amounts of paid vacation (WTP: −5.983; 95% CI: −13.749 and −0.037) and higher risk of injury (WTP: 0.684; 95% CI: 0.124 and 1.208) were associated with work in the continuing care sector. Impact. Continuing care workplaces can attract nurses by offering flexible options such as part-time positions and paid vacation and by taking actions that can mitigate the risk of workplace injury, violence, and abuse. Nursing students should be shown the positive aspects of working with older adults and dispel negative perceptions about the continuing care sector. Further research is needed to understand the preferences for work and risk perceptions among currently employed nursing staff.
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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 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 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 ».