The care capacity goals of family carers and the role of technology in achieving them
Notice bibliographique
Résumé
BACKGROUND: As global populations age, governments have come to rely heavily on family carers (FCs) to care for older adults and reduce the demands made of formal health and social care systems. Under increasing pressure, sustainability of FC's unpaid care work has become a pressing issue. Using qualitative data, this paper explores FCs' care-related work goals, and describes how those goals do, or do not, link to technology. METHODS: We employed a sequential mixed-method approach using focus groups followed by an online survey about FCs' goals. We held 10 focus groups and recruited 25 FCs through a mix of convenience and snowball sampling strategies. Carer organizations helped us recruit 599 FCs from across Canada to complete an online survey. Participants' responses to an open-ended question in the survey were included in our qualitative analysis. An inductive approach was employed using qualitative thematic content analysis methods to examine and interpret the resulting data. We used NVIVO 12 software for data analysis. RESULTS: We identified two care quality improvement goals of FCs providing care to older adults: enhancing and safeguarding their caregiving capacity. To enhance their capacity to care, FCs sought: 1) foreknowledge about their care recipients' changing condition, and 2) improved navigation of existing support systems. To safeguard their own wellbeing, and so to preserve their capacity to care, FCs sought to develop coping strategies as well as opportunities for mentorship and socialization. CONCLUSIONS: We conclude that a paradigm shift is needed to reframe caregiving from a current deficit frame focused on failures and limitations (burden of care) towards a more empowering frame (sustainability and resiliency). The fact that FCs are seeking strategies to enhance and safeguard their capacities to provide care means they are approaching their unpaid care work from the perspective of resilience. Their goals and technology suggestions imply a shift from understanding care as a source of 'burden' towards a more 'resilient' and 'sustainable' model of caregiving. Our case study findings show that technology can assist in fostering this resiliency but that it may well be limited to the role of an intermediary that connects FCs to information, supports and peers.
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Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| 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 | 0,000 |
| 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.
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