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KDI FOCUS Health Insurance Expenditure Growth: Driving Factors and Policy Implications April 21, 2025

KDI FOCUS

Health Insurance Expenditure Growth: Driving Factors and Policy Implications

April 21, 2025
  • 프로필
    Junghyun Kwon
This video provides English subtitles. Click on the video to watch more conveniently.

As financing tools such as higher premiums and government subsidies are increasingly unsustainable, national health insurance system faces growing pressure to optimize spending. Empirical analysis of health insurance expenditure drivers identifies price increases as the dominant factor. In particular, rising service prices in local primary care clinics rather than utilization rates are disproportionately contributing to overall expenditure growth. For efficient management of health insurance resources, policy efforts should focus on strengthening the primary care function of local clinics by reforming the current fee-for-service payment model, while also institutionalizing a robust expenditure review framework.


Ⅰ. Introduction

South Korea has been experiencing a rapid increase in healthcare spending. Current health expenditure, which captures total spending on health and medical goods and services, increased from 5.9% of GDP in 2009 to 9.4% in 2022, surpassing the OECD average of 9.2%. National health insurance expenditure, which includes benefits paid by National Health Insurance System, has significantly outpaced the growth of central government expenditure when excluding the COVID-19 period.

Institutional mechanisms to contain spending remain absent, despite the rapid growth in national health insurance expenditure. The current financing model—an expenditure-driven revenue framework—risks undermining financial sustainability if spending continues to exceed available resources. While past funding shortfalls were addressed through government subsidies and revenue expansion, slower economic growth and population aging now constrain these options.

Despite a sharp rise in healthcare expenditure, Korea’s health insurance system lacks mechanisms to control spending.
Premium increases and subsidy expansions are becoming unsustainable as financing tools, underlining the need for effective expenditure control.

Moreover, continued expansion of health insurance subsidies may crowd out resources for other public priorities, reducing overall fiscal efficiency. Without meaningful policy efforts to improve spending efficiency, public support for higher premiums or taxes is difficult to obtain. Put differently, expenditure control is indispensable to the financial sustainability of the national health insurance system.

Effective expenditure management requires understanding the drivers of health insurance spending.

Understanding the drivers of rising national health insurance expenditure is critical to effective fiscal management. Analyzing contributors to medical expenditure growth, such as demographic characteristics, healthcare service utilization, and changes in disease profiles, helps inform expenditure management strategies and projections of future healthcare costs. This study examines contributors to Korea’s rising healthcare costs—including payments by the National Health Insurance Service and out-of-pocket expenses by individuals—to propose expenditure management strategies.


Ⅱ. Analysis of Changes in Factor Contributions to Health Insurance Expenditure

This section decomposes Korea’s per capita health insurance expenditure into demographic (population structure), quantity (volume of service use), and price (cost per service) factors. It aims to quantify the extent to which each factor contributes to the overall increase in national health insurance expenditure. Per capita analysis helps control for changes in population size. The demographic factor captures changes in health insurance expenditure attributable to shifts in the population structure. It is calculated as the difference between actual medical expenditure and a hypothetical amount that would have occurred had the population structure remained unchanged from the base year, 2009. After isolating the demographic factor, health insurance expenditure can be further decomposed into changes due to healthcare service utilization (quantity factor) and cost per service (price factor).

This analysis examines the growth of health insurance expenditure through health insurance claims data from 2009 to 2019. The analysis period is capped at 2019 to exclude the atypical decline in healthcare utilization during the COVID-19 pandemic.

From 2009 to 2019, price accounted for 76.7% of the increase in health insurance expenditure, with quantity and demographics contributing 14.6% and 8.6%, respectively.

According to the factor contribution analysis of per capita health insurance expenditure in Table 1, inflation-adjusted per capita expenditure increased by 28.0% in 2019 compared to 2009. Of this increase, the price factor accounted for the largest share at 76.7%, followed by the quantity and demographic factors at 14.6% and 8.6%,respectively. While the population structure has shifted, primarily due to population aging, this analysis finds that its impact is relatively limited compared to the effects of rising service prices and increased utilization.

Figure 3 illustrates the annual growth in per capita health insurance expenditure, with 2009 as the base year, decomposed by factor contributions. Price has consistently accounted for the largest share,with its contribution exceeding 70% of total growth since 2015. Quantity explained as much as 35% in 2012 but has steadily declined, falling to around 15% after 2017. Demographic contribution has also diminished since 2012, stabilizing at approximately 10%.

The price contribution to health insurance expenditure growth has increased over time.
While the demographic contribution remains significant, it has declined.

These findings suggest that price should be the primary focus of expenditure management. In spite of population aging, the demographic contribution is diminishing, which calls for closer examination of its underlying drivers and the application of these insights to policies for managing healthcare costs among elderly population. For a more detailed examination of factor contributions, the following section further decomposes health insurance expenditure by service and institution type and analyzes changes in those contributions across them.


Ⅲ. Factor Contribution Analysis by Service and Institution Type

The second stage of the decomposition analysis disaggregates health insurance expenditure by (1) service type—inpatient and outpatient services, and (2) institution type—tertiary hospitals, general hospitals, hospitals, and primary care clinics.

In 2019, the contribution of price in outpatient services accounted for 38.7% of health insurance expenditure growth, making it the largest contributor.

1. Analysis by Service Type

Figure 4 shows the factor contribution trends of price and quantity for inpatient and outpatient services. As with overall health insurance expenditure growth, price has become increasingly dominant across both services. Particularly, price contribution in outpatient services has surged since 2012, suggesting that outpatient care has been the main driver of the overall rise in price effects.

The faster increase in outpatient price contribution may be attributable to greater utilization of high-cost medical services, changes in treatment intensity, and increases in medical service fees. In cancer treatment, for example, where price contribution is especially high in healthcare spending, the average length of inpatient stays following tumor excision has steadily declined, with related treatments shifting to outpatient settings. This shift has increased outpatient volume in tertiary hospitals, possibly leading to higher treatment intensity and unit costs, resulting in higher per-service expenditure and greater price effects. According to Kwon (2023), outpatient visits at tertiary hospitals rose by 32.2% between 2009 and 2019, nearly twice the growth in inpatient services, which increased by 16.0% over the same period. Differences in service fee increases may also explain the higher outpatient price contribution. From 2009 to 2019, medical service fees increased by 28.4% at primary care clinics, compared to 18.1% at hospital-level institutions. This suggests that fee increases have amplified the price contribution in outpatient care, meriting further investigation.

If the expanding outpatient price contribution reflects a substitution of high-cost inpatient services with outpatient care, this shift could be viewed as a positive development for managing health insurance expenditure. However, changes in the quantity contributions across service types offer limited evidence of such an effect. In contrast to the rising influence of price, quantity contributions have declined in both inpatient and outpatient services. As for inpatient services, quantity was a major driver, accounting for 38% of expenditure growth up to 2015, but its contribution fell steadily to 24.2% by 2019. This decline is influenced by a slowdown in the increasing use of inpatient services, which increased by 45.9% between 2009 and 2019 but at a progressively slower rate. The growth in hospital beds per 1,000 population has also decelerated dramatically, dropping from 11.3% from 2009 to 2014 to just 2.3% from 2014 to 2020 (Kwon, 2023).

As inpatient utilization slows and price gains greater influence, the inpatient quantity contribution to health insurance expenditure growth has declined.

2. Analysis by Institution Type

Figure 5 shows the results of contribution decomposition by healthcare institution type—tertiary hospitals (third-tier), general hospitals and hospitals (second-tier), and primary care clinics (first-tier). The institution-level analysis also reveals a reversal in contribution patterns, where institutions with higher price contributions tend to have lower quantity contributions. In 2019, price contribution in primary care clinics accounted for 24.9% of the increase in health insurance expenditure compared to 2009, the highest among all institution types, followed by tertiary hospitals at 17.0% and general hospitals and hospitals at 14.6%.

In 2019, price in primary care clinics accounted for 24.9% of the increase in health insurance expenditure—the highest among all institution types.

Unlike the growing influence of price, quantity contributions have declined since 2012. The decline has been especially pronounced in primary care clinics and tertiary hospitals, while general hospitals and hospitals experienced a more gradual decrease.

Quantity contributions have declined most noticeably in primary care clinics and tertiary hospitals.


Ⅳ. The Possibility of Healthy Aging

Contrary to the common view that population aging drives up healthcare costs, this study finds that the demographic factor contributes less to the growth of health insurance expenditure in Korea than the price and quantity factors. This finding aligns with international studies suggesting that the impact of aging on healthcare spending has diminished over time. The comparatively sharper decline in demographic contribution points to healthy aging, that is, broader health improvements among older adults (Cutler et al., 2013).

To explore whether health aging is emerging in Korea, this section examines changes in health insurance expenditure among individuals aged 65 and above (65+), whose population share is rapidly increasing. Analysis shows that demographic change was the largest contributor to the increase in per capita health insurance expenditure among individuals aged 65+, accounting for 44% of the total increase in 2019.

Accordingly, even without changes in service utilization or pricing, health insurance expenditure for older adults is expected to continue rising as the elderly population share expands. However, the influence of the price factor has increased in recent years. Since 2017, price has overtaken demographic as the leading driver of expenditure growth among this age group.

Among individuals aged 65+, demographic change was the primary contributor to health insurance expenditure growth, while the influence of price has expanded in recent years.

Meanwhile, the young-old population (ages 65–74) exhibits distinct patterns in health insurance expenditure compared to those aged 75+, most notably a decline in medical service utilization. A decomposition of health insurance expenditure shows that quantity has made a negative contribution among individuals aged 65-69 since 2012, reflecting a sustained reduction in healthcare use. This steady decline has partially offset the overall growth in expenditure. Had service utilization in the 65-69 group remained at the 2009 level, the 2019 growth rate would have been 3.3%p higher, reaching 10.9%. A similar trend has been observed among those aged 70-74 since 2017, though with a smaller diminishing effect, at –4% in 2019. The utilization decrease among those aged 65–69, followed by a lagged decrease in the 70–74 group, appears to be a cohort effect. If healthier cohorts with different patterns of healthcare use continue to enter the elderly population, the overall growth of health insurance expenditure among the young-old population may further decelerate. In contrast, such a decline is not evident among those aged 85+, indicating a sharp rise in service utilization among them. In 2019, quantity accounted for 27% of the expenditure increase for this oldest-old group, compared to 23% for price, behind both the demographic and quantity factors.

Among the young-old population (65-74), a decline in quantity contribution has moderated the growth of health insurance expenditure.
For those aged 85+, the demographic and quantity factors remain the primary contributors to health insurance expenditure growth.

The decline in healthcare service utilization among the young-old population suggests the possibility of healthy aging in Korea. The widely recognized notion that medical service use and healthcare costs rise in step with population aging is based on the assumption that aging leads to higher disease prevalence and extended morbidity.

However, if health improvements and compression of morbidity are occurring in young-old cohorts, it may help ease the financial burden of aging on the health insurance system. A similar slowdown in elderly healthcare spending has also been observed in countries such as Japan and EU member states, which experienced population aging earlier than Korea (WHO, 2019). Still, further analysis is needed to assess whether healthy aging among the young old will translate into lower total healthcare use and medical spending across the lifespan.

Among those aged 85+, however, service utilization continues to rise, with no evidence of improvement in physical function. This finding suggests that what appears to be healthy aging may instead reflect a postponement in the onset of serious illness or the period of intensive healthcare spending (Kwon, 2024).

The decline in healthcare utilization among the young-old population and the gradual slowdown in health insurance expenditure growth suggest the possibility of healthy aging.


Ⅴ. Conclusion and Policy Recommendations

The decomposition of spending growth reveals that price―especially in outpatient care―has been the most influential factor driving the rise in health insurance expenditure between 2009 and 2019. While price contribution is increasing across all institution types, it is the highest in primary care clinics. However, the specific causes of these pronounced price effects in local clinics remain unclear at this level of analysis.

Nevertheless, the rising price contribution in outpatient services and primary care clinics may signal increased use of high-cost medical services or a shift toward more intensive treatment. To address this trend, oversight and control over unnecessary high-cost services and excessive treatment should be prioritized. However, under the current fee-for-service payment model―which reimburses healthcare providers based on pre-determined fees for individual services―there is limited incentive for providers to moderate the volume or intensity of care. In particular, the role of price contribution in primary care clinics as a key driver of expenditure growth highlights the need to reform the fee-for-service model applied to them.

Managing health insurance expenditure requires exploring ways to supplement the current fee-for-service payment system.

Nevertheless, the rising price contribution in outpatient services and primary care clinics may signal increased use of high-cost medical services or a shift toward more intensive treatment. To address this trend, oversight and control over unnecessary high-cost services and excessive treatment should be prioritized. However, under the current fee-for-service payment model―which reimburses healthcare providers based on pre-determined fees for individual services―there is limited incentive for providers to moderate the volume or intensity of care. In particular, the role of price contribution in primary care clinics as a key driver of expenditure growth highlights the need to reform the fee-for-service model applied to them.

Supplementing the feefor-service model is also necessary to strengthen the primary care role of local clinics.

In Korea, the healthcare delivery system, designed to differentiate functions by healthcare institution type, remains underdeveloped. Consequently, primary care clinics, commonly called neighborhood clinics, are increasingly incentivized to compete with higher-tier institutions rather than fulfill their core role of delivering basic care, contributing to unnecessary and excessive treatment. As efforts continue to establish the delivery system as intended, primary care clinics should expand their role as family physicians, treating, preventing, and managing mild and chronic conditions. Effective chronic disease prevention and management require continuity and comprehensiveness of care. Yet the present fee-for-service payment system undercompensates providers for services, such as long-term patient management, counseling, and preventive care, offering little incentive for them to deliver primary care functions. To address the rising burden of chronic illnesses, healthcare pricing reform should supplement the current model with bundled payments and pay-for-performance mechanisms to incentivize comprehensive and continuous primary care for primary care providers.

Proactive investment to promote health among the young-old population is required.

Meanwhile, the demographic contribution appears relatively limited in driving health insurance spending, suggesting the possible emergence of healthy aging in Korea. Strengthening this positive trend will require proactive investment in health promotion to prevent age-related decline and frailty. Alongside financial support expansion for cost-effective preventive care services, policy efforts should focus on creating environments that foster healthy behaviors, including regular physical activity, abstaining from alcohol, and smoking cessation.

For those aged 85+, management strategies for end-of-life care, including the use of life-sustaining treatments, are needed.
A formal evaluation framework for health insurance expenditure should be established to support fiscal management strategies.

Healthcare service use among the oldest-old population (85+) continues to increase, in contrast to the young old (65-74). This suggests that improvements in health outcomes among older adults have not yet reached all age groups and that there may be a delay in the onset of disease and the period of concentrated healthcare spending. Given that a substantial share of lifetime healthcare costs is incurred during this stage of life, there is a need to develop strategies to manage rising end-of-life healthcare utilization, including non-beneficial life-sustaining treatments.

Lastly, it is essential to review the drivers of health insurance expenditure growth and formulate evidence-based policy responses. Regular evaluations for key contributing factors should be institutionalized, together with the development of expenditure management strategies based on these assessments. Furthermore, formalizing an evaluation framework for health insurance expenditure should serve as a tool to strengthen transparency and accountability in the governance of the national health insurance system.


CONTENTS
  •  I.  Introduction

    Ⅱ. Analysis of Changes in Factor Contributions to Health Insurance Expenditure

    Ⅲ. Factor Contribution Analysis by Service and Institution Type

    Ⅳ. The Possibility of Healthy Aging

    Ⅴ. Conclusion and Policy Recommendations
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