FEASIBILITY & COST-IMPLICATION ANALYSIS OF THE CARER-INCLUSIVE ORGANIZATIONAL STANDARD AS AN INTERVENTION
Notice bibliographique
Résumé
Canada’s aging demographics has produced a crisis in which the working age population is increasingly required to provide unpaid care for aging friends, family or relatives while maintaining employment responsibilities. Currently, there are 8.1 million carers in Canada, with 6.1 million of these carers simultaneously managing their own careers/paid employment alongside these care duties. This dual role of carer and employee places physical and mental burden on a growing number of carer-employees, and is associated with adverse effects on both health and work performance. The literature suggests that adverse effects such as stress, depression, anxiety are associated with caregiving burden, and can manifest in physical symptoms affecting health such as sleep deprivation or fatigue. Additionally, care-work conflict may impede work responsibilities by increasing absenteeism/presentism, reducing productivity, delaying career development and early retirement from the workforce. As a result of these adverse consequences, an understanding of the role the employer plays in supporting carer-employees needs is critical, as these arrangements are mutually beneficial for both employer and carer-employee. However, evidence of the effectiveness of workplace interventions for carers is nascent; additional investigation is needed in order to bridge this gap and encourage widespread uptake of carer initiatives in the private sector. In this dissertation study, an intervention is implemented within a large-sized workplace. We evaluate the following questions: 1) How has COVID-19 impacted the workplace and the nature of caregiving?; 2) What are the gaps within the workplace pertaining to baseline carer-supportive workplace culture?; 3) Does our designed intervention improve work and health outcomes of employees?; 4) Is the intervention cost-saving from the employer’s perspective? These research questions contribute to the paucity of knowledge on this topic as well as providing actionable evidence and tools for employers and policymakers to stimulate change. We found that with the transition to remote working during COVID, carers were struggling with the work-life balance due to the undefined boundaries between work, care and personal life, this effect was exacerbated by the closure of community carer supports, thereby increasing feelings of isolation. However, flexibility and privacy was gained as a result of this arrangement. In designing a tailored intervention, we highlighted that within our partnered workplace, carers had significantly less coworker support, and employee-rated family supportive supervisor behaviour was dispersed across all potential score ranges. As a result, our designed intervention focused on generating a supportive and approachable work culture for carers, centered around education and consciousness-raising. With the implementation of the intervention however, we found mixed results. We did not observe significant changes in employee health and work outcome variables post-intervention compared to pre-intervention, nor did we find the intervention to be cost-saving. However, carers and managers/HR communicated their positive informative experiences with the intervention and highlighted its capacity of practicality in the future. These findings in conjunction suggests that the intervention may be a starting point for culture change, however, further research is needed across a variety of contexts.
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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 | 0,019 | 0,044 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,004 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,003 | 0,004 |
| Intégrité de la recherche | 0,004 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,022 | 0,001 |
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 ».