Abstract

The World Health Organization (WHO) states that examining medical financial systems is the most important process in evaluating universal health coverage (UHC). This study used the service coverage index (SCI) as a proxy of the progress toward UHC in eleven Asian countries. We employed a fixed-effects regression model to analyze panel data from 2015 to 2017, to explain the interrelationship between the SCI and major socioeconomic indicators. We also conducted a performance analysis (ratio of achieved SCI level to gross domestic product (GDP) or health expenditure displacement) to examine the balance between the degree of achievements related to UHC and a country’s economic level. The results showed that GDP and health expenditure were significantly positively correlated with the SCI (p < 0.01). The panel data analysis results showed that GDP per capita was a factor that greatly influenced the SCI as well as poverty (partial regression coefficient: 0.0017, 95% CI: 0.0013–0.0021). The results of the performance analysis showed that the Philippines had the highest scores (GDP: 1.84 SCI score/USD per capita, health expenditure: 1.04 SCI score/USD per capita) and South Korea the lowest. We conclude that socioeconomic factors, such as GDP, health expenditure, unemployment, poverty, and population influence the progress of UHC, regardless of system maturity or geographic characteristics.

Highlights

  • Received: 29 December 2021The Sustainable Development Goals (SDGs), ratified by all United Nations memberStates in 2015, consist of 17 goals and 169 specific targets to be achieved by 2030—the aim of which is to realize a world free of poverty, hunger, and disease [1,2,3,4]

  • We conclude that socioeconomic factors, such as GDP, health expenditure, unemployment, poverty, and population influence the progress of Universal health coverage (UHC), regardless of system maturity or geographic characteristics

  • In this study, we explored the relationship between service coverage index (SCI) and major socioeconomic indicators to establish the relationship between UHC levels and economic factors, and we investigated the significance of this relationship through performance analysis

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Summary

Introduction

States in 2015, consist of 17 goals and 169 specific targets to be achieved by 2030—the aim of which is to realize a world free of poverty, hunger, and disease [1,2,3,4]. Of these goals, SDG 3 consists of thirteen targets related to the theme of “health and welfare for all”. Target 3.8 of SDG 3, which involves achieving UHC and health improvement worldwide, is positioned as the most crucial task of the World Health

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