TY - JOUR
T1 - Economic Analysis of Health Inequality Among the Elderly in Ghana
AU - Fonta, Cynthia Lum
AU - Nonvignon, Justice
AU - Aikins, Moses
AU - Nonvignon, Jacob
AU - Aryeetey, Genevieve Cecilia
N1 - Publisher Copyright:
© 2019, The Author(s).
PY - 2020/3/1
Y1 - 2020/3/1
N2 - 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.
AB - 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.
KW - Decomposition analysis
KW - Elderly
KW - Ghana
KW - Health inequality
KW - IJEH-D-18-00094
UR - http://www.scopus.com/inward/record.url?scp=85108891449&partnerID=8YFLogxK
U2 - 10.1007/s12062-019-09245-7
DO - 10.1007/s12062-019-09245-7
M3 - Article
AN - SCOPUS:85108891449
SN - 1874-7884
VL - 13
SP - 113
EP - 127
JO - Journal of Population Ageing
JF - Journal of Population Ageing
IS - 1
ER -