Mixed-methods single-arm repeated measures study evaluating the feasibility of a web-based intervention to support family carers of persons with dementia in long-term care facilities
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Following institutionalization of a relative with Alzheimer disease and related dementias (ADRD), family carers continue to provide care. They must learn to negotiate with staff and navigate the system all of which can affect their mental health. A web-based intervention, My Tools 4 Care-In Care (MT4C-In Care) was developed by the research team to aid carers through the transitions experienced when their relative/friend with ADRD resides in a long-term care (LTC) facility. The purpose of this study was to evaluate MT4C-In Care for feasibility, acceptability, ease of use, and satisfaction, along with its potential to help decrease carer’s feelings of grief and improve their hope, general self-efficacy, and health-related quality of life. The study was a mixed-methods single-arm repeated measures feasibility study. Participants accessed MT4C-In Care over a 2-month period. Data were collected at baseline and 1 and 2 months. Using a checklist, participants evaluated MT4C-In Care for ease of use, feasibility, acceptability, and satisfaction. Measures were also used to assess the effectiveness of the MT4C-In Care in improving hope (Herth Hope Index), general self-efficacy (GSES), loss and grief (NDRGEI), and health-related quality of life (SF12v2) of participants. Qualitative data were collected at 2 months and informed quantitative findings. The majority of the 37 participants were female (65%; 24/37), married (73%; 27/37), and had a mean age of 63.24 years (SD = 11.68). Participants reported that MT4C-In Care was easy to use, feasible, and acceptable. Repeated measures ANOVA identified a statistically significant increase over time in participants hope scores (p = 0.03) and a significant decrease in grief (< 0.001). Although significant differences in mental health were not detected, hope (r = 0.43, p = 0.03) and grief (r = − 0.66, p < 0.001) were significantly related to mental health quality of life. MT4C-In Care is feasible, acceptable, and easy to use and shows promise to help carers of family members with ADRD residing in LTC increase their hope and decrease their grief. This study provides the foundation for a future pragmatic trial to determine the efficacy of MT4C-In Care. ClinicalTrials.gov NCT03571165. June 30, 2018 (retrospectively registered).
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.
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 | 0,003 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| 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 découle