Psychiatric Morbidities, Neurocognitive Impairment, Quality of Life, And Burden of Care in Elderly Patients: A Tertiary Care Hospital-Based Cross-Sectional Study
Notice bibliographique
Résumé
Background: The elderly population suffers from disability and functional impairment due to the increasing age and changing social circumstances. Besides physical illnesses, psychiatric morbidities are frequently encountered among elderly individuals. Functional dependency for the activities of daily living is common among elderly people. All these collectively hamper quality of life in elderly patients and increases the burden of caregivers as well. With this background, the present study was carried out to explore the psychiatric morbidities, quality of life and caregiver burden in elderly population. Aim and Objectives: To study sociodemographic profile, psychiatric morbidities, neurocognitive impairment, quality of life, and burden of care in elderly patients. Method: This was a hospital-based cross-sectional observational study conducted at a tertiary care center. 195 consecutive patients from the various outpatient departments fulfilling the study criteria were enrolled. Subjects were interviewed using a pre-designed study pro-forma. The Montreal Cognitive Assessment (MoCA), the 36-items Short Forn Survey (SF 36) and the Zarit Burden Interview (ZBI) were used for cognitive impairment, quality of life and caregiver burden, respectively. Data was analyzed on SPSS 22.0 using appropriate statistical methods. Results: The mean age of patients was 67.59± 6.09 years. Majority of patients were males (63.08%), married (82.6%), uneducated (43.6%) and unemployed (49.23%) and were staying in a Joint family. 35.38% (N=69) patients were found to be having psychiatric morbidity among which most prevalent class of psychiatric morbidity was Depressive disorder (30.43%). One fourth (24.62%) of the patients had cognitive impairment on MoCA assessment. Mean scores ranging from 30 to 60 out of 100 in Health-Related Quality of life were obtained in all domains of SF-36 with lowest in Physical role limitation domain. The mean score of caregiver burden (ZBI) was 26.12. More than half 59.49% of the caregiver reported as feeling burdened ranging from mild to severe burden, while 40.51% of the caregivers reported no burden at all. The caregivers who were burdened, 72.5% had patients with psychiatric illness, while 52.4% were burdened with patients other than psychiatric morbidity. Conclusion: Despite adequate healthcare, the main issues concerning aging and mental health are prevention, early recognition of major psychiatric morbidities, treatment and quality of life interventions. There is a need to undertake routine screening of psychiatric disorders in geriatric population considering the common occurrence in them. Early diagnosis and timely intervention can improve the quality of life in the elderly and reduce the burden of care in their caregivers.
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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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».