Perceptions of Health Insurance Schemes and Their Role in Reducing Healthcare Disparities Across Asian Populations: Insights into Access, Equity and Policy

Healthcare disparities, defined as the uneven distribution of healthcare access and outcomes across different populations, represent a critical challenge to public health worldwide. In many Asian countries, where the diversity in economic, social and cultural conditions is vast, disparities in healthcare access, affordability and quality continue to persist despite significant policy efforts. These disparities are often exacerbated by factors such as income inequality, rural-urban divides and marginalization of vulnerable populations. Health insurance schemes, as a policy intervention, have been implemented across various Asian countries with the objective of mitigating these disparities and improving access to quality healthcare services for all segments of the population. However, the extent to which these schemes reduce healthcare disparities remains variable and is influenced by numerous factors, including economic development, governmental policies, infrastructure and implementation strategies.

This study seeks to investigate the impact of health insurance schemes on healthcare disparities in selected Asian countries from a policy perspective. Specifically, it aims to evaluate the effectiveness of existing health insurance programs-such as the Ayushman Bharat in India, the Universal Coverage Scheme (UCS) in Thailand, and the New Cooperative Medical Scheme (NCMS) in China-in bridging healthcare gaps between socioeconomic groups. By assessing the role of government policies, the structure of health insurance programs and their implementation, this research will provide insights into how health insurance can help reduce healthcare disparities in Asia. In particular, the study explores how different models of health insurance influence healthcare accessibility, affordability and quality, particularly for disadvantaged populations such as rural residents, low-income groups and ethnic minorities.

The study is situated within the broader context of health insurance's potential to promote Universal Health Coverage (UHC), which is a key objective of the World Health Organization (WHO) and various national governments. UHC seeks to ensure that all individuals and communities have access to the health services they need without suffering financial hardship. While progress has been made in many Asian countries toward achieving UHC, significant challenges remain, especially in countries with large populations and disparities in economic and social conditions. For example, while countries like Japan and South Korea have achieved near-universal health coverage with minimal disparities in healthcare access, countries such as India and China still face significant hurdles due to their large, diverse populations and underdeveloped healthcare infrastructure in rural areas.

In this context, this study aims to provide a comparative analysis of the healthcare systems of India, Thailand, China, Japan and South Korea, each of which employs different health insurance schemes. India’s Ayushman Bharat, for example, is designed to provide health insurance to low-income households, with a focus on rural areas. However, despite its scale and ambitious goals, it faces challenges such as limited awareness, accessibility and infrastructure. In contrast, Thailand’s UCS has been lauded for its successful implementation in achieving near-universal coverage and improving health outcomes, particularly for low-income and rural populations. Similarly, Japan and South Korea offer universal health coverage that has been credited with reducing disparities in healthcare access, but these systems too face challenges related to the aging population and sustainability.

The research will also examine how broader factors such as political will, economic stability and healthcare workforce capacity influence the success or failure of these schemes in reducing disparities. It is important to recognize that the mere presence of a health insurance scheme does not guarantee equitable healthcare outcomes. Even well-established systems can face challenges, including regional disparities in service delivery, insufficient coverage for certain services and barriers to access for marginalized groups.

In addition to evaluating the effectiveness of health insurance programs, the study will explore the barriers that hinder their full implementation. These barriers include logistical challenges, administrative inefficiencies, cultural factors and inadequate public awareness. The findings of this research will contribute to the development of targeted policy recommendations aimed at improving healthcare equity and ensuring that health insurance programs are more effective in addressing disparities across different population groups.

Overall, this study aims to provide evidence-based insights into the role of health insurance schemes in reducing healthcare disparities in Asia, with a focus on policy recommendations that could inform future reforms in the region. By addressing both the strengths and weaknesses of existing health insurance schemes, the study will offer a roadmap for improving the accessibility, affordability and quality of healthcare for all.

Objectives

• To assess the impact of health insurance schemes on healthcare disparities in selected Asian countries, focusing on their influence on the accessibility, quality and affordability of healthcare services
• To investigate the effect of health insurance schemes on healthcare accessibility and equity, particularly for vulnerable populations, including rural residents, low-income groups and minority communities
• To identify the barriers and challenges that hinder the effective implementation and success of health insurance schemes, including administrative, logistical and cultural factors that affect coverage and service delivery
• To analyze the broader economic impact of health insurance schemes on national economies, with particular emphasis on their effects on household financial stability and overall healthcare affordability.

The evolution of research on health insurance and its impact on health disparities has been marked by an increasing focus on the intersection of economic, social and healthcare system factors. Early studies explored the foundational elements of health insurance schemes, while more recent work delves into the effectiveness of such programs and their ability to address inequalities.

In the early 1980s, JQ, L. (1982) examined the factors influencing the coverage of China’s Basic Healthcare Insurance for Urban Employees (BHI). This study utilized panel data from 1999 to 2007, exploring the dynamics of the expansion of social health insurance (SHI) in China. The research highlights the importance of economic development, strong governmental financial capacities, and social factors such as trade union density in expanding BHI coverage. It found that robust financial and administrative structures were key drivers of the program's success, laying the groundwork for future health insurance reforms in China.

A decade later, in 2004, Ekman [1] conducted a systematic review on community-based health insurance (CBHI) schemes in low-income countries. This study aimed to evaluate how CBHI programs impacted access to healthcare and financial protection for underserved populations. The review concluded that while CBHI programs could improve healthcare access and reduce out-of-pocket expenses, their effectiveness was highly dependent on factors like program design, management and community engagement. It emphasized that the success of CBHI schemes varied considerably across different regions, reflecting the complex dynamics of healthcare delivery in low-resource settings.

Following these early explorations of health insurance's role in improving access to care, other scholars began to investigate the broader structural and systemic influences on health disparities. Kilbourne et al. [2] proposed a conceptual framework for advancing health disparities research, aiming to integrate diverse perspectives and methodologies. This framework highlighted the multifactorial nature of health disparities, including socioeconomic, cultural and systemic factors and underscored the need for a comprehensive approach to addressing these disparities within healthcare systems.

In 2010, Lee et al. [3] examined the barriers to healthcare access faced by 13 Asian American communities. Their study identified significant obstacles, including language barriers, cultural misunderstandings, lack of insurance coverage and limited availability of culturally competent care. This research emphasized the need for targeted interventions tailored to the unique needs of diverse ethnic groups, echoing earlier findings that community engagement and understanding of cultural contexts are crucial for improving healthcare accessibility.

By the early 2010s, there was a growing recognition of the critical role that healthcare system reforms played in improving access to care. Lagomarsino et al. [4] focused on understanding the impact of different healthcare system structures on healthcare access and outcomes. Their research, particularly in low- and middle-income countries, found that health system reforms and the model of healthcare delivery played a significant role in improving access and health outcomes. This study highlighted the importance of not only expanding coverage but also ensuring the quality and equity of care provided.

In 2014, Cheng et al. [5] explored the impact of health insurance on the health outcomes and spending of the elderly in China, particularly through the New Cooperative Medical Scheme (NCMS). The study found that the NCMS effectively reduced out-of-pocket spending and improved access to healthcare for elderly populations, contributing to a significant alleviation of financial barriers. This research highlighted the positive impact of targeted health insurance programs on vulnerable groups such as the elderly, who often face significant challenges in accessing healthcare.

A similar focus on vulnerable populations was seen in the work of Miller et al. [6], who investigated how health insurance influenced healthcare disparities among adults with disabilities. Their study found that individuals with more comprehensive insurance coverage experienced fewer disparities in access to care and health outcomes. This reinforced the idea that health insurance is a key determinant of equity in healthcare, particularly for populations that are often marginalized or have additional healthcare needs.

The role of health insurance in addressing inequalities was further explored by Ahlin et al. [7], who reviewed the state of health insurance in India. They argued that ethnographic research was essential to understand the lived experiences of individuals impacted by insurance schemes. The study identified gaps in existing research and highlighted the need for a deeper understanding of how different populations experience health insurance, which could inform more effective policy and implementation strategies.

As research continued to highlight the persistence of racial and ethnic disparities in healthcare, Sohn [8] examined how these disparities evolved over the life course. Focusing on racial and ethnic differences in the gaining and losing of health insurance coverage, the study found that some groups faced higher rates of losing coverage and lower rates of gaining it. These findings pointed to the need for policies that ensure more stable and equitable coverage for all racial and ethnic groups throughout their lives.

In 2017, Chandra et al. [9] analyzed the challenges of addressing discrimination and health inequity through current Civil Rights Laws. They concluded that while Civil Rights Laws provided a foundational framework for addressing discrimination, they were insufficient in addressing the complex and systemic nature of health disparities. The study called for reforms to strengthen these laws to promote greater health equity.

The growing recognition of the need for systemic reforms continued into the 2020s, with Behera and Dash [10] investigating the role of fiscal capacity in healthcare financing across Southeast Asia. Their research showed that higher fiscal capacity in governments was generally associated with better healthcare financing and improved health outcomes. However, they also noted that the impact of fiscal capacity varied across countries due to differences in economic development and healthcare system structures. This reinforced the idea that effective healthcare financing requires not only adequate fiscal resources but also efficient allocation and management.

The study of Universal Health Coverage (UHC) in the Asian region by Takura and Miura [11] highlighted the key role of economic development, income inequality and social protection policies in achieving UHC. They found that addressing these socioeconomic factors was essential for improving health coverage and equity across the region. Their research underscored the importance of targeted strategies to enhance UHC outcomes, particularly in regions with diverse socioeconomic contexts.

In 2023, Lim et al. [12] provided a systematic review of health financing challenges in Southeast Asia. They focused on the financial barriers and sustainability of current health financing methods, identifying revenue-raising methods as critical for the success of UHC. Their findings reinforced the importance of addressing financial obstacles to achieve sustainable and equitable healthcare systems in the region.

Further, more recent work by Hill et al. [13] tracked health coverage disparities across different racial and ethnic groups from 2010 to 2022. Despite improvements in some areas, the study found persistent disparities in health insurance coverage, particularly among minority groups. This highlighted the ongoing need for policies that specifically address these disparities and improve access to healthcare for underserved populations.

The year (2024) saw Selvamuthu et al. [14] examining the role of health insurance in mitigating the economic burden of healthcare in low-income countries. Their study focused on sub-Saharan Africa, where health insurance coverage has remained limited. The authors explored various insurance models, including government-subsidized programs and community health insurance schemes. They concluded that while health insurance could significantly reduce out-of-pocket costs and improve healthcare access, the success of these programs was closely tied to the quality of healthcare infrastructure. Their study highlighted the necessity of building strong healthcare systems alongside expanding insurance coverage to ensure the sustainability and effectiveness of health insurance programs.

Liu et al. [15] conducted a study focusing on the implementation of health insurance schemes in India. The research critically evaluated the impact of government-led health insurance initiatives such as the Pradhan Mantri Jan Arogya Yojana (PMJAY), which aims to provide health insurance to the underprivileged. Kumar and colleagues found that while the PMJAY had successfully increased healthcare access for millions, many challenges remained, including issues of awareness, administrative inefficiencies and the limited scope of services covered under the insurance plan. The study stressed the need for continued policy innovation, emphasizing the integration of digital health solutions to streamline the delivery and management of health insurance benefits.

Gopalan et al. [16] examined the intersection of digital health technologies and insurance schemes in improving healthcare access. Their study reviewed the potential of telemedicine and mobile health services as tools to enhance the reach of health insurance programs, especially in rural and underserved areas. The authors argued that integrating digital health technologies into insurance programs could overcome geographical barriers and reduce healthcare access disparities. The study found promising results in countries like India and Kenya, where mobile-based health insurance schemes helped people access healthcare services remotely, improving both financial protection and healthcare outcomes.

Finally, Manoj et al. [17] investigated the evolving relationship between health insurance and mental health services. Their research examined how insurance programs were adapting to better include mental health coverage, which has historically been underfunded and overlooked. Rajan and colleagues found that in several high-income countries, reforms were underway to integrate mental health into general health insurance packages, reflecting an increased recognition of mental health as a critical aspect of overall health. The study emphasized the need for broader reforms in mental health insurance coverage, particularly in countries with limited mental health infrastructure. The authors argued that providing more comprehensive mental health coverage could help address disparities in mental health outcomes, particularly among low-income and minority populations.

This study employed an exploratory research design to investigate the impact of health insurance schemes on healthcare disparities in Asian countries, focusing on the role of policy in mitigating these disparities. The research was guided by the objective of understanding how various health insurance schemes influence healthcare access and outcomes across different socioeconomic groups.

Sampling and Participants The sample for this study consisted of 446 respondents, selected using a convenient sampling method. Respondents were drawn from diverse demographic groups to represent a broad cross-section of the population, with attention to age, gender, occupational status and place of residence (urban, rural, semi-urban). The sample size was deemed appropriate for exploratory research, providing sufficient data for analysis of trends and patterns.

Data Collection

Data were collected using a structured survey that incorporated both closed and open-ended questions. The survey was designed to capture respondents' perceptions of health insurance schemes, including their views on government roles in health insurance, barriers to implementation and the distribution of benefits across different populations. The survey was distributed to respondents in various regions of Asia, with a focus on Tamil Nadu as a case study for regional insights.

Data Analysis

The data collected from the surveys were analyzed using SPSS software. The analysis involved several statistical tools and visualizations, including clustered bar graphs, pie charts, stacked area graphs and linear regression. The clustered bar graphs were used to explore categorical data, while linear regression helped assess the relationship between key variables, such as the type of health insurance and respondents' perceptions of healthcare disparities. Additionally, ANOVA was applied to determine whether significant differences existed between groups based on demographic variables.

The analysis shows a highly significant result (F = 125.473, p<0.001), indicating that there are significant differences between the groups in terms of their perceptions of the effectiveness of health insurance This suggests that individuals from different groups (based on factors such as socioeconomic status, geographic location, etc.) have differing views on the success and impact of health insurance programs. The low p-value (less than 0.001) confirms that the differences observed are unlikely to have occurred by chance, making these findings statistically robust (Table 1).

Table 1: The purpose of examining health insurance schemes to assess their effectiveness in reducing (text cut off)

The ANOVA results indicate a statistically significant difference (F = 12.725, p<0.001) between groups regarding the barriers to implementing health insurance schemes in Asian countries. The low p-value (<0.001) suggests that the barriers to health insurance implementation are perceived differently across the groups, and these differences are unlikely to be due to random chance. This highlights the need for a deeper understanding of the various barriers, such as financial, administrative and infrastructural challenges, that impact the success of health insurance schemes in different contexts across Asia (Table 2).

Table 2: Barrier to implementing health insurance schemes in Asian countries

The ANOVA results show that there is no statistically significant difference (F = 1.319, p = 0.269) between the groups in terms of the roles governments typically play in health insurance schemes. The p-value is greater than the threshold of 0.05, suggesting that perceptions about the roles of governments in health insurance do not significantly differ among the groups studied. This suggests that across the sample, there is a general consensus or shared understanding about the key roles governments should play, such as funding, regulation and policy-making, in health insurance schemes (Table 3).

The results show a highly significant difference between groups (F = 90.235, p<0.001), indicating that there is a strong agreement that the government should increase funding for health insurance schemes in specific areas. The p-value is less than the threshold of 0.05, suggesting that the belief in the necessity of increased government funding for health insurance varies significantly across the sample. This could imply a widespread recognition of the need for greater financial investment in health insurance schemes, potentially due to disparities in healthcare access and affordability.

Table 3: Roles do governments typically play in health insurance schemes

Age Distribution and Relationship Status

Figure 1 reveals that the 18-25 age group has the highest proportion of singles, accounting for 37.24%. This proportion gradually decreases with age, dropping to 9.62% for the 46-55 age group and further declining to 4.81% for individuals aged 56 and above. These findings suggest that being single is more common among younger individuals, with a clear trend toward higher marriage rates as individuals age.

Figure 1: This figure shows the age of the respondents

Gender Distribution

As depicted in Figure 2, the gender distribution of respondents is nearly equal, with 47% identifying as female and 47% as male. However, the title of the graph could be misinterpreted, as it suggests that the data may pertain to a specific group. Further clarification would be beneficial to ensure the accuracy of the graph's interpretation.

Figure 2: This figure shows the gender of the respondents

Geographic Distribution

Figure 3 shows the distribution of respondents by place of residence, with 50% of participants living in urban areas, 25.52% in rural areas and 5.02% in semi-urban areas. This urban-dominant distribution suggests that urban populations were over represented in the sample, potentially skewing regional perspectives on healthcare access and health insurance benefits.

Figure 3: This figure shows the place of living of the respondents

Marital Status

In Figure 4, marital status data shows that 48.12% of respondents are married, while 51.88% are unmarried. This near-even split provides insights into potential differences in healthcare access and coverage between married and unmarried individuals, as marriage may influence eligibility for spousal insurance plans or other family-based benefits.

Figure 4: This figure shows the Marital Status of the respondents

Figure 5: This figure shows the Occupational Status of the respondents

Occupational Status

Figure 5 presents the occupational status distribution of respondents. The largest proportion of respondents (49.76%) is employed in the private sector, followed by 20.98% working in the public sector, 14.63% self-employed and 14.63% unemployed. This indicates a predominance of private-sector employment in the sample, which may be indicative of differing access to healthcare coverage compared to those in the public sector or self-employed groups.

Barriers to Health Insurance Implementation by Age Group

Figure 6 illustrates the perceived barriers to implementing health insurance schemes in Asian countries across various age groups. Among the 18-25 age group, 9.62% cited high administrative costs as a significant barrier. In contrast, the 26-35 age group reported a higher percentage (31.80%) identifying high administrative costs, with 0.42% mentioning low internet penetration. The 36-45 age group mirrored the 26-35 group in perceiving high administrative costs (20.92%) as a primary obstacle. Additionally, individuals in the 46-55 age group identified an abundance of natural resources (20.92%) as a barrier, while 16.32% highlighted low internet penetration. Notably, data for individuals aged 56 and above was not available, limiting the interpretation of barriers in this age group.

Figure 6: This figure shows the Barrier to implementing health insurance schemes in Asian countries of the respondents

Government’s Role in Health Insurance by Age Group

Figure 7 reveals varying perceptions regarding the role of governments in health insurance schemes across different age groups. A substantial portion of the 26-35 age group (31.80%) emphasized the government’s role in providing funding and regulation. Meanwhile, 9.62% of the 18-25 age group identified employment rates as a key role for the government in relation to health insurance. The perception of creating healthcare apps as a governmental responsibility was notably low across all groups, with only 0.42% of the 26-35 age group mentioning it.

Figure 7: This figure shows the Roles do governments typically play in health insurance schemes of the respondents

Rural vs. Urban Distribution of Health Insurance Benefits

Figure 9 presents respondents' perceptions of the effectiveness of health insurance schemes in benefiting rural versus urban populations. A significant proportion of respondents (31.38%) believe that rural populations benefit more from health insurance schemes, compared to 16.32% who think urban populations benefit more. These findings suggest that a substantial number of respondents perceive rural populations as receiving greater benefits from health insurance, potentially indicating discrepancies in healthcare access or allocation of resources (Figure 10).

Figure 8: This figure shows the Rural populations in Asian countries benefit more from health insurance schemes than urban population of the respondents

Figure 9: This figure shows the Rural populations in Asian countries benefit more from health insurance schemes than urban population of the respondents

Figure 10: This figure shows the Rural populations in Asian countries benefit more from health insurance schemes than urban population of the respondents

Perceptions by Gender on Health Insurance Benefits

Figure 11 provides insights into the gender-based perceptions of health insurance benefits for rural populations. A higher percentage of males (31.38%) compared to females (15.90%) believe that rural populations benefit more from health insurance schemes. Additionally, 20.82% of females perceive that both rural and urban populations benefit equally, whereas only 9.62% of males share this view. These results reflect gender-based differences in perspectives regarding healthcare disparities between rural and urban populations (Figure 12-15).

Figure 11: This figure shows the Rural populations in Asian countries benefit more from health insurance schemes than urban population [booth benefit qually]

Figure 12: This figure shows the Rural populations in Asian countries benefit more from health insurance schemes than urban population of the respondents

Figure 13: This figure shows the The government should increase funding for health insurance schemes in 1 areas