Understanding caregiver profiles of older adults reporting cognitive decline: A descriptive study from North India
Notice bibliographique
Résumé
Abstract Background As India gets closer to an expected 7.6 million dementia cases by 2030, families are tasked with care‐giving in the absence of affordable healthcare and adequate health systems. Those most impacted include elderly caregivers, and are mostly female spouses of persons with dementia. With transitions from joint family systems to more nuclear structures due to urbanization and migration, understanding characteristics of family caregivers will be critical to developing adequate support systems and enabling better home‐based care in urban areas. Method Screening camps were conducted in 8 locations across a North Indian urban area over 7 months, including a government hospital, communities, and senior centers. Assessment measures involved a brief cognitive assessment and screening for mental health, neurological, and preexisting medical issues. Sociodemographic information was collected from the accompanying family member. Both caregiver and the person reporting cognitive complaints were provided information about dementia symptoms with referrals to neurologists, psychiatrists or medical professionals based on screening results. Result A total of 194 persons (112 men, 82 women) were screened after reporting subjective cognitive decline; on evaluation, 4% and 5% had symptoms indicative of dementia and definite cognitive decline, respectively. Findings also indicated that 58% of participants also had symptoms of depression and anxiety, causing concern for caregivers. Majority of participants were accompanied by a family member and only 7 participants lived on their own. Sociodemographic information was collected for a total of 187 caregivers (58% women, 42% men). 67% of caregivers were aged 55 years and above, indicative of caregivers themselves ageing whilst having to take care of an aging relative; 33% were aged 20‐34 years. 97% were immediate family members taking on primary care‐giving responsibilities (51% wives, 26% husbands, 16% sons, 4% daughters) indicating high risk for caregiver burden. More than 75% of those surveyed were educated above high school, indicating rising levels of educational achievement in urban areas. 35% of caregivers were homemakers and women, highlighting necessity for low‐cost or cost‐effective models of home‐based care services. Conclusion Health systems and support mechanisms for the elderly are underdeveloped in India and require effective home‐based care models taking into consideration caregiver characteristics.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».