Staff experiences with remote work in a comprehensive cancer center during the COVID-19 pandemic.
Notice bibliographique
Résumé
41 Background: The COVID-19 pandemic led to the rapid implementation of remote work, but few studies have evaluated the impact on staff and care delivery in healthcare settings. Utilizing a cross-sectional survey, we evaluated the experience of working remotely among clinical staff at the Princess Margaret Cancer Centre, Toronto, Canada. Methods: “Remote work” was defined as any work (tasks, projects, healthcare delivery) performed from home. A Qualtrics survey was disseminated via email three times from June-August 2021 to 1,168 physicians, nurses, allied health, and administrative staff involved in patient care. The survey evaluated staff perceptions of productivity, efficiency, patient safety, quality, and personal experiences. Results were summarized using descriptive statistics. Associations between respondent demographics and responses on perceived efficiency, desire to work remotely, support and safety/quality were evaluated using multivariable binary logistic regression models. Free-text responses were categorized into facilitators and barriers, and summarized using qualitative descriptive analysis. Results: Most respondents (n = 333; response rate: 28.5%) were female (61.3%) and physicians (23.1%). Few respondents (1.5%) worked remotely more than half the time pre-COVID which increased to 66.6% during COVID-19. Majority reported that remote work positively impacted productivity (61.8%) and efficiency (57.6%) and expressed interest in continuing (79.0%) beyond the pandemic. While most respondents agreed with the switch to remote work (89.2%), few were provided with the necessary equipment (14.1%). Some respondents perceived a negative impact on the safety (13.8%) or quality of care (18.6%) delivered remotely. Across clinical roles, compared to administrative staff, physicians were more likely to report remote work having a negative impact on productivity (OR = 24.04, 95% CI: 2.71-213.00), being dissatisfied with remote work (OR: 8.41, 95% CI: 1.37-51.64), being dissatisfied with training available (OR: 2.70, 95% CI: 0.95-7.67), and disagreed with continuing to utilize remote work beyond the pandemic (OR: 16.61, 95% CI: 1.45-190.14). Improved efficiency, less commuting, and improved work-life balance were perceived as facilitators of remote work. Barriers included a lack of clear role expectations, issues accessing clinical applications and out-of-pocket expenses. Conclusions: Our findings indicate that remote work may be a viable model in hospitals beyond the pandemic. Given the variation in experience and perceptions depending on clinical role, addressing barriers and formal evaluation of the impact of working remotely on productivity, efficiency and quality of care should be considered to inform long-term adoption.
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 | 0,004 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».