TY - JOUR
T1 - Socioeconomic disparities of life expectancy
T2 - Analysis of 34 provinces in Indonesia as of 2019
AU - Hasibuan, Syarif
AU - Darmawan, Ede
AU - Permanasari, Vetty
N1 - Publisher Copyright:
© (2023), (European Publishing). All Rights Reserved.
PY - 2023
Y1 - 2023
N2 - Background: Life expectancy at birth is one of the Human Development Index (HDI) that measure human development. More than half of Provinces in Indonesia have average of life expectancy at birth lower than the average of national life expectancy at birth (71, 3 years). The range of gap is 10 years between Provinces with the lowest and highest life expectancy average at birth. Objective: To analyze the effect of socioeconomic disparities to Life expectancy at birth among provinces in Indonesia based on data 2019 Methods: We used aggregate data of Province and Districts Government Budget Allocation for Health from Ministry of Finance and other socioeconomic data form the Central Bureau of Statistics. Dependent variables included average life expectancy of people in each Provinces. Independent variables included the socioeconomic aspect from each Province such as availability of healthcare and physicians, dependency ratio estimates, government budget allocation for health and proportion of people with income below half of the median. Pearson correlation test used to see the correlation between dependent and independent variables. Results: We found significant correlation between life expectancy average at birth with dependency ratio (r=-0, 467, p-value=0, 00), proportion of people with income below median (r=-0, 386, p-value=0, 02), and hospital ratio per 1.000 people (r=0, 355, p-value=0, 04). While there are no correlation between life expectancy average at birth with the other independent variable such as physician ratio per 100.000 people, public health center ratio per 100.000 people, poverty percentage and government budget allocation for health. Conclusions: There are significant disparities of life expectancy average at birth in socioeconomic aspect among Provinces in Indonesia. This study could be evidence-based input for the policymakers to reduce the disparities among Province or evermore to increase life expectancy average at birth.
AB - Background: Life expectancy at birth is one of the Human Development Index (HDI) that measure human development. More than half of Provinces in Indonesia have average of life expectancy at birth lower than the average of national life expectancy at birth (71, 3 years). The range of gap is 10 years between Provinces with the lowest and highest life expectancy average at birth. Objective: To analyze the effect of socioeconomic disparities to Life expectancy at birth among provinces in Indonesia based on data 2019 Methods: We used aggregate data of Province and Districts Government Budget Allocation for Health from Ministry of Finance and other socioeconomic data form the Central Bureau of Statistics. Dependent variables included average life expectancy of people in each Provinces. Independent variables included the socioeconomic aspect from each Province such as availability of healthcare and physicians, dependency ratio estimates, government budget allocation for health and proportion of people with income below half of the median. Pearson correlation test used to see the correlation between dependent and independent variables. Results: We found significant correlation between life expectancy average at birth with dependency ratio (r=-0, 467, p-value=0, 00), proportion of people with income below median (r=-0, 386, p-value=0, 02), and hospital ratio per 1.000 people (r=0, 355, p-value=0, 04). While there are no correlation between life expectancy average at birth with the other independent variable such as physician ratio per 100.000 people, public health center ratio per 100.000 people, poverty percentage and government budget allocation for health. Conclusions: There are significant disparities of life expectancy average at birth in socioeconomic aspect among Provinces in Indonesia. This study could be evidence-based input for the policymakers to reduce the disparities among Province or evermore to increase life expectancy average at birth.
UR - http://www.scopus.com/inward/record.url?scp=85187710156&partnerID=8YFLogxK
U2 - 10.18332/popmed/164200
DO - 10.18332/popmed/164200
M3 - Article
AN - SCOPUS:85187710156
SN - 2654-1459
VL - 5
JO - Population Medicine
JF - Population Medicine
M1 - A805
ER -