Morbidity pattern and factors that influence family dynamics among elderly attending selected Primary Care Centres in Lagos
Notice bibliographique
Résumé
Background: The most vulnerable and high-risk groups in terms of morbidity and health status is the elderly. With ageing comes deterioration of functional capacity of an individual. The elderly usually has co-morbidities which results in a rapid decline in their health status. Family dynamics constitute the pattern of interactions between the family members. This is influenced by health status of the members. The health of the elderly is affected by social factors which involves children leaving their parents in search for jobs, leaving their parents isolated without support in daily activities and health-care system factors such as lack of effective health insurance system for elderly.Objective: To determine the morbidity pattern and family dynamics among elderly in selected Primary Healthcare Centres in LagosMethods: A cross sectional study was carried out on 207 elderly patients. A multistage simple random sampling technique was used to select respondents and data was collected by using questionnaires from past studies to collect information on morbidity pattern, family type, family model, healthcare financing and satisfaction. The obtained data was analyzed with SPSS version 20 software.Results: Of all the respondents, 133 (64.3%) were married, 64 (30.9%) widowed while 4.8% were either divorced or separated. Majority of the respondents, 113(54.6%) practiced monogamy. More than three quarter of the respondents live with family/caregivers. More than half of the respondents (53.1%) were unemployed, 74 (35.8%) self-employed while the remaining 23 (11.1%) were pensioners. About 94% paid out of pocket for their services, only 12 (5.8) were enrolled on NHIS. There were significant associations between Ischemic heart disease, tremor and satisfaction with service quality. Polygamy was found to be associated with Back pain, Parkinson disease, Depression, Arthritis, Hearing impairment. Interacting type of family model was found to be associated with Asthma, Hypertension, and Ischemic Heart Disease.Conclusion: The most prevalent medical condition in the elderly was Hypertension followed by back pain. Out of pocket was the most common (94.2%) means of payment for medical bills. Based on Stevenson's family model, the Interacting type was constituted by 87.9% of the respondents while the remaining proportion was made up of actualizing type.
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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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 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) | 0,002 | 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 ».