The role of gender in health insurance enrollment among geriatric caregivers: results from the 2022 informal caregiving, health, and healthcare survey in Ghana
Notice bibliographique
Résumé
BACKGROUND: Female informal caregivers of older adults experience a higher burden of physical and mental health problems compared to their male counterparts due to the greater intensity of care they provide. This is likely to result in an imbalance in health needs, including health insurance enrollment, between male and female informal caregivers of older adults. However, to date, no study is available on the role of gender in health insurance enrollment among informal caregivers of older adults in Ghana. This study examines the association between gender and health insurance enrollment among informal caregivers of older adults in Ghana. METHODS: Cross-sectional data from the Informal Caregiving, Health, and Healthcare Survey among caregivers of older adults aged 50 years or above (N = 1,853 and mean ages = 39.15 years and 75.08 years of informal caregivers and their care recipients, respectively) in Ghana were analyzed. A binary logit regression model was used to estimate the association between gender and health insurance enrollment. All statistical inferences were made at the 5% significance level. RESULTS: The final Model (3) showed that female informal caregivers were 2.70 times significantly more likely to enrol in a health insurance scheme than their male counterparts (AOR: 2.70, 95% CI: 2.09-3.48, p-value = 0.001). Apart from gender, the results revealed that participants aged 55-64 years (AOR = 2.38, 95%CI: 1.29-4.41, p-value = 0.006), with tertiary education (AOR: 3.62, 95% CI: 2.32-5.66, p-value = 0.001) and living with the care recipients (AOR: 1.50, 95% CI: 1.14-1.98, p-value = 0.003) were significantly more likely to enrol in a health insurance scheme than their counterparts. The findings further showed that those who earned between GH¢1000 and 1999 (US$99.50-198.50) monthly (AOR: 0.70, 95% CI: 0.52-0.95, p-value = 0.022) and were affiliated with African traditional religion (AOR: 0.30, 95%CI: 0.09-0.99, p-value = 0.048) were significantly less likely to enrol in a health insurance scheme than their counterparts. CONCLUSION: Gender was a significant predictor of health insurance enrollment among informal caregivers of older adults. This finding contributes to the empirical debates on the role of gender in health insurance enrollment among informal caregivers of older adults. Policymakers need to develop gender-specific measures to address gender gaps in health insurance enrollment among informal caregivers of older adults in Ghana. Such health policies and programs should consider other significant demographic and socioeconomic factors associated with health insurance enrolment among informal caregivers of older adults in Ghana.
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 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 | 0,014 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 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 | 0,001 |
| 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.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».