Economic Analysis of Health Inequality Among the Elderly in Ghana
Bibliographic Data
| ID | 12958007 |
|---|---|
| Authors | Cynthia Lum Fonta (0000-0002-8540-9774, corresponding author), Justice Nonvignon (0000-0002-7484-9491, University of Ghana), Moses Aikins (0000-0002-2370-4006, University of Ghana), Jacob Nonvignon (Kwame Nkrumah University of Science and Technology), Genevieve Cecilia Aryeetey (0000-0002-0530-8675, University of Ghana) |
| Year | 2019 |
| Volume | 13 |
| Issue | 1 |
| Pages | 113-127 |
| Publication date | 2019-05-16 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Population Ageing (JOURNAL) |
| Journal identifiers | ISSN: 1874-7876 • E-ISSN: 1874-7884 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s12062-019-09245-7 |
| OpenAlex | W2946191677 |
| Language | EN |
| Citations received | 5 |
| References cited | 46 |
In Ghana, the ageing population is growing at a fast pace amidst challenging socioeconomic environment. As such, the health of elderly persons in Ghana is of emerging concern and of high priority to the Government. In this study, we seek to measure health inequality among elderly persons in Ghana to determine its existence and explore the factors driving it. Data for the study were drawn from the World Health Organization (WHO)‘s Study on Global Ageing and Adult Health (SAGE Wave 1) and analyzed using STATA and a Distributive Analysis Stata Package (DASP) installed in STATA. Health inequality was measured using concentration curves and concentration index (CI). Furthermore, a regression-based approach was used to determine factors associated with health inequality and their estimated contributions to health inequality. The CI for poor SRH was −0.059 indicating greatest poor health among the poor. The highest contributors to health inequality were presence of at least a chronic condition (63.4%), followed by the age group 70 years and above (26.6%), being single (13.9%), poor (3.9%) and uneducated (0.3%). The probability of reporting poor health was higher with increasing age (Coeff = 0.27, p < 0.05), having at least a chronic condition (Coeff = 0.34, p < 0.05), being single (Coeff = 0.14, p < 0.05) and being poor (Coeff = 0.17, p < 0.05). The results show that health inequality exists among the elderly in Ghana and that poor health was greatest among the poor. Socioeconomic, demographic and health related factors are associated with health inequality
Environmental health · Health equity · Inequality · Population · Public health · Socioeconomic status · Sociology · Demography · Global Health Care Issues · Health disparities and outcomes · Healthcare Systems and Reforms · Mathematics · Medicine · Gerontology
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| Unique citing works | 5 |
|---|---|
| Citations per year | 1 |
| Citation span | 2021 - 2025 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |