The Trends in Health Life Expectancy in Korea according to Age, Gender, Education Level, and Subregion: Using Quality-Adjusted Life Expectancy Method

Quality-Adjusted Life Expectancy Norms Based on the EQ-5D-5L and SF-6Dv2 for China

OBJECTIVES

Quality-adjusted life expectancy (QALE) norms reflect the normative profiles or reference data of QALE of the general population and provide a meaningful anchor for comparison to inform healthcare decision-making. This study aimed to develop the QALE norms for the Chinese population by using a representative dataset of health utility values collected using the EQ-5D-5L and short-form 6-dimension version 2 (SF-6Dv2) instruments.

METHODS

Age-specific population norms of health utility values calculated using the EQ-5D-5L and SF-6Dv2 were used. Both utility norms were combined with the latest version of the National Life Tables of China published in 2021 to calculate QALE estimates on the basis of age, sex, and urban/rural residence area. QALE estimates were further discounted using 1.5%, 3.5%, 5.0%, and 8.0% discount rates.

RESULTS

When using the health utility values evaluated by the SF-6Dv2, the QALE at age 0 years was 66.34 years at the discount rate of 0% and 16.65 years at the discount rate of 5%. For the EQ-5D-5L, the QALE at age 0 years was 76.50 years at the discount rate of 0% and 19.45 years at the discount rate of 5%. At birth, females exhibited a higher QALE, while the difference between females and males initially increased before subsequently declining overtime, ultimately resulting in females having a lower QALE. Rural population had a monotonically lower QALE than urban population.

CONCLUSION

This study constructed age-stratified QALE norms for the Chinese population categorized by sex and residence area using mortality data alongside corresponding health utility values derived from the EQ-5D-5L and SF-6Dv2.

Korean National Burden of Disease: The Importance of Diabetes Management

Diagnosing the current health status and disease burden in a population is crucial for public health interventions. The ability to compare the burden of different diseases through a single measure, such as disability-adjusted life years has become feasible and continues to be produced and updated through the Global Burden of Diseases (GBD) study. However, the disease burden values of the GBD study do not accurately reflect the unique situation in a specific country with various circumstances. In response, the Korean National Burden of Disease (KNBD) study was conducted to estimate the disease burden in Koreans by considering Korea's cultural context and utilizing the available data sources at the national level. Both studies identified non-communicable diseases, such as diabetes mellitus (DM), as the primary cause of disease burden among Koreans. However, the extent of public health interventions currently being conducted by the central and local governments does not align with the severity of the disease burden. This review suggests that despite the high burden of DM in South Korea, the current policies may not fully address its impact, underscoring the need for expanded chronic disease management programs and a shift towards prevention-focused healthcare paradigms.

Trends of Gaps Between Health-Adjusted Life Expectancy and Life Expectancy at the Regional Level in Korea Using a Group-Based Multi-Trajectory Modeling Approach (2008-2019)

BACKGROUND

Health-adjusted life expectancy (HALE) is an indicator of the average lifespan in good health. Through this study, we aimed to identify regional disparities in the gap between HALE and life expectancy, considering the trends that have changed over time in Korea.

METHODS

We employed a group-based multi-trajectory modeling approach to capture trends in the gap between HALE and life expectancy at the regional level from 2008 to 2019. HALE was calculated using incidence-based "years lived with disability." This methodology was also employed in the Korean National Burden of Disease Study.

RESULTS

Based on five different information criteria, the most fitted number of trajectory groups was seven, with at least 11 regions in each group. Among the seven groups, one had an exceptionally large gap between HALE and life expectancy compared to that of the others. This group was assigned to 17 regions, of which six were metropolitan cities.

CONCLUSION

Based on the results of this study, we identified regions in which health levels have deteriorated over time, particularly within specific areas of metropolitan cities. These findings can be used to design comprehensive policy interventions for community health promotion and urban regeneration projects in the future.

Inequality in quality-adjusted life expectancy by educational attainment in Norway: an observational study

BACKGROUND

Health inequalities are often assessed in terms of life expectancy or health-related quality of life (HRQoL). Few studies combine both aspects into quality-adjusted life expectancy (QALE) to derive comprehensive estimates of lifetime health inequality. Furthermore, little is known about the sensitivity of estimated inequalities in QALE to different sources of HRQoL information. This study assesses inequalities in QALE by educational attainment in Norway using two different measures of HRQoL.

METHODS

We combine full population life tables from Statistics Norway with survey data from the Tromsø study, a representative sample of the Norwegian population aged ≥ 40. HRQoL is measured using the EQ-5D-5L and EQ-VAS instruments. Life expectancy and QALE at 40 years of age are calculated using the Sullivan-Chiang method and are stratified by educational attainment. Inequality is measured as the absolute and relative gap between individuals with lowest (i.e. primary school) and highest (university degree 4 + years) educational attainment.

RESULTS

People with the highest educational attainment can expect to live longer lives (men: + 17.9% (95%CI: 16.4 to 19.5%), women: + 13.0% (95%CI: 10.6 to 15.5%)) and have higher QALE (men: + 22.4% (95%CI: 20.4 to 24.4%), women: + 18.3% (95%CI: 15.2 to 21.6%); measured using EQ-5D-5L) than individuals with primary school education. Relative inequality is larger when HRQoL is measured using EQ-VAS.

CONCLUSION

Health inequalities by educational attainment become wider when measured in QALE rather than LE, and the degree of this widening is larger when measuring HRQoL by EQ-VAS than by EQ-5D-5L. We find a sizable educational gradient in lifetime health in Norway, one of the most developed and egalitarian societies in the world. Our estimates provide a benchmark against which other countries can be compared.

Relevance Index Regional Variation by Each Disease and Its Essential Medical Field: A Retrospective Data Analysis From 2016-2020 in Korea

BACKGROUND

To precisely build a healthcare delivery system at regional levels, local patients' healthcare service utilization patterns must be examined. Hence, this study utilized trend analysis of the relevance index of each disease of each essential medical service field at the municipal and provincial levels.

METHODS

This study analyzed customized databases released by the National Health Insurance Service from 2016-2020. Diseases defined in the Korean National Burden of Disease (KNBD) study were categorized into the following essential medical service fields: trauma care, cardiocerebrovascular, maternal and neonatal, mental health, infection, cancer, older adults' care and rehabilitation, and others. Relevance index, the percentage of medical service utilization in a region by the residents of that region relative to their total medical service utilization, was examined by region (17 municipal and provincial regions) and disease area. The relevance index was determined based on the number of patients and the total out-of-pocket expenses.

RESULT

Eight of the 17 regions showed over a 90.0% relevance index in the infection area. In the cancer area, 14 regions (not including Seoul, Daegu, and Busan) had a relevance index lower than 75.0%. Throughout the analysis period (2016-2020), there were no significant variations in the relevance index. Diseases such as bone and connective tissue cancer (39.0%), neural tube defects (16.7%), and autism (57.1%) had low relevance index in the essential medical service fields. In all 17 regions, the relevance index of inpatients was lower than that of outpatients, and that for out-of-pocket expenses was lower than that based on the number of patients.

CONCLUSION

The relevance index of major diseases of each essential medical service field calculated in this study can provide good indicators for monitoring the level of an independent regional healthcare delivery system.

Comparison of low-salt preference trends and regional variations between patients with major non-communicable diseases and the general population

Background

We compared low-salt preference between patients with major chronic diseases, also known as non-communicable diseases (hereinafter referred to as ‘“major NCD patients’”), and the general population.

Methods

We used data extracted from the Korea Community Health Survey Community during the period of 2008–2019. We evaluated the low-salt preference of 13 major NCD patients by year and region to analyse recent changes in low-salt preference trends, using joinpoint regression.

Results

A greater majority of major NCD patients had a higher low-salt preference than general population; however, the overall trend was not significantly significant. The low-salt preference rate (Type III) was highest among patients with diabetes (15.6%), followed by hypertension (14.1%) and dyslipidaemia (13.4%), with the general population displaying the lowest rate (11.3%). The rates of adherence to a low-salt diet and fried food without soy sauce gradually increased until 2013 and then declined. The rate of adherence to not adding salt and soy sauce at the table gradually increased and maintained a high rate of adherence until 2019, except for patients with some diseases. Regional variations in low-salt preference tended to be greater in patients with major NCDs than general population.

Conclusion

There is a need to improve the low-salt diet behaviour of not only major NCD patients, but also the general population. Various low-salt diet programs need to be promoted, such as education on a low-salt diet, certification for low-salt restaurants, and sodium tax. Moreover, it is necessary to continuously monitor the low-salt preferences of major NCD patients.

Temporal trends in incidence, prevalence, and death of aortic stenosis in Korea: a nationwide population-based study

AIMS

We aim to determine the temporal trends of incidence, prevalence, and death of aortic stenosis (AS, I35.0) in an East Asian population.

METHODS AND RESULTS

Data for 3773 patients who were newly diagnosed with AS from 2006 through 2017 were extracted from the National Health Insurance Service in Korea. The age-standardized incidence rate, prevalence rate, and death rate, survival rate (SR), and death risk of AS were calculated. Overall, the mean (standard deviation) age of AS patients was 69.9 (15.3) years [66.2 (15.7) years for men and 72.7 (14.4) years for women (P = 0.007)], and the proportion of men was 42.7%. The proportion of AS patients ≥60 years old was 80% (71.8% in men and 86% in women, P < 0.001). The proportion of patients who died of AS was 36.4% during the period from 2006 through 2017. The most common causes of death were disease of the circulatory system. The age-standardized incidence, prevalence, and death rates in 2017 were 0.85, 2.79, and 0.58 persons per 100 000 persons, respectively. The 10 year SR was 49.2%. The higher adjusted HRs [95% CI] for AS were observed in 70- to 79-year-old people (9.08 [1.27, 64.7], P = 0.027), in individuals 80 years of age or older (22.7 [3.18, 161.9], P = 0.001), in men (1.46 [1.31, 1.63], P < 0.001), among the middle socioeconomic group (1.19 [1.03, 1.37], P = 0.016), among the lower income levels (1.32 [1.17, 1.49], P < 0.001), in those with myocardial infarction (1.57 [1.16, 2.13], P = 0.003), with heart failure (1.63 [1.44, 1.85], P < 0.001), with ischaemic stroke (3.26 [1.20, 8.85], P = 0.015), with haemorrhagic stroke (2.51 [1.94, 3.25], P = 0.02), with chronic kidney disease (2.51 [1.94, 3.25], P < 0.001), and with malignant neoplasm (2.33 [1.64, 3.31], P < 0.001).

CONCLUSIONS

The proportion of AS at age ≥60 years was 80%. For AS, the age-standardized incidence rates were steady, prevalence rates increased, and death rates decreased by year over a decade. The 10 year SR of AS was about 50%. The most common cause of death in AS was disease of the circulatory system. Given the progressively higher incidence of AS with age continued efforts are required to increase awareness regarding AS-related symptoms and potential complications in aged people.

A Review of the Types and Characteristics of Healthy Life Expectancy and Methodological Issues

An index that evaluates the health level of a population group considering both death and loss of function due to disease is called a summary measure of population health (SMPH). SMPHs are broadly divided into life year indices and life expectancy indices, the latter of which comprise healthy life expectancy (HLE). HLE is included as a policy target in various national and regional level healthcare plans, and the term “HLE” is commonly used in academia and by the public. However, the overall level of understanding of HLE—such as the precise definition of HLE and methods of calculating HLE—still seems to be low. As discussed in this study, the types of HLE are classified into disability-free life expectancy, disease-free life expectancy, quality-adjusted life expectancy, self-rated HLE, and disability-adjusted life expectancy. Their characteristics are examined to facilitate a correct understanding and appropriate utilization of HLE. In addition, the Sullivan method, as a representative method for calculating HLE, is presented in detail, and major issues in the process of calculating HLE, such as selection of the population group and age group, estimation of death probability, calculation of life years, and incorporation of health weights, are reviewed. This study will help researchers to select an appropriate HLE type and evaluate the validity of HLE research results, and it is expected to contribute to the vitalization of HLE research.

Cancer-free Life Expectancy in Small Administrative Areas in Korea and Its Associations with Regional Health Insurance Premiums

BACKGROUND

To determine the priorities and resource allocation of community cancer-related health policies, it is necessary to measure cancer-related health indicators and the burden of cancer by region. This study calculated the cancer-free life expectancy at the eup/myeon/dong level (small administrative units in South Korea) for the first time, and analyzed its association with regional health insurance premiums.

METHODS

We used aggregate data from the 2008-2017 National Health Information Database provided by the National Health Insurance Service. Cancer-free life expectancy was calculated by applying Sullivan's method to mortality and cancer prevalence by age group and sex for the 10-year period in 3,396 eups/myeons/dongs. Correlation analyses were performed to analyze the relationship between cancer-free life expectancy and regional health insurance premiums.

RESULTS

Cancer-free life expectancy in eups/myeons/dongs of metropolitan areas tended to be higher than in non-metropolitan areas. However, some eups/myeons/dongs of non-metropolitan areas showed quite a high cancer-free life expectancy, especially for females. The median values of differences between cancer-free life expectancy and life expectancy at the eup/myeon/dong level (total: 1.6 years, male: 1.8 years, female: 1.4 years) indicated that a person's healthy life can be shortened by a number of years due to cancer. The association of cancer-free life expectancy by eup/myeon/dong with the regional health insurance premium was statistically significant (β = 1.0, P < 0.001) and more prominent for males (β = 1.3, P < 0.001) than for females (β = 0.5, P < 0.001). The relationship between the regional health insurance premium and the burden of cancer (life expectancy minus cancer-free life expectancy) was also statistically significant (β = 0.2 for the total population, β = 0.2 for males, and β = 0.1 for females, all P values < 0.001).

CONCLUSION

This study showed a significant regional gap with regard to cancer-free life expectancy and the burden of cancer at the eup/myeon/dong level. This work makes a meaningful contribution by presenting new and firsthand summary measures of cancer-related health across small areas in Korea. The results will also help the authorities to evaluate the effectiveness of local cancer management projects in small administrative areas and determine regional priorities for implementing cancer control policies.

Trends in health expectancies: a systematic review of international evidence

OBJECTIVES

A clear understanding of whether increases in longevity are spent in good health is necessary to support ageing, health and care-related policy.

DESIGN

We conducted a systematic review to update and summarise evidence on trends in health expectancies, in Organisation for Economic Co-operation and Development (OECD) high-income countries.

DATA SOURCES

Four electronic databases (MEDLINE, 1946-19 September 2019; Embase 1980-2019 week 38; Scopus 1966-22 September 2019, Health Management Information Consortium, 1979-September 2019), and the UK Office for National Statistics website (November 2019).

ELIGIBILITY CRITERIA

English language studies published from 2016 that reported trends in healthy, active and/or disability-free life expectancy in an OECD high-income country.

DATA EXTRACTION AND SYNTHESIS

Records were screened independently by two researchers. Study quality was assessed using published criteria designed to identify sources of bias in studies reporting trends, and evidence summarised by narrative synthesis.

FINDINGS

Twenty-eight publications from 11 countries were included, covering periods from 6 to 40 years, between 1970 and 2017. In most countries, gains in healthy and disability-free life expectancy do not match the growth in total life expectancy. Exceptions were demonstrated for women in Sweden, where there were greater gains in disability-free years than life expectancy. Gains in healthy and disability-free life expectancy were greater for men than women in most countries except the USA (age 85), Japan (birth), Korea (age 65) and Sweden (age 77).

CONCLUSION

An expansion of disability in later life is evident in a number of high-income countries, with implications for the sustainability of health and care systems. The recent COVID-19 pandemic may also impact health expectancies in the longer term.

Impact of Atrial Fibrillation on Survival in Adults with Congenital Heart Disease: a Retrospective Population-based Study

BACKGROUND

The number of adults with congenital heart disease (ACHD) with atrial fibrillation (AF) is expected to increase. We sought to assess the impact of AF on survival in Korean ACHD.

METHODS

Records of AF in ACHD were extracted from the records of the Korea National Health Insurance Service from 2006 through 2015. Multiple Cox proportional hazards analyses were carried out after adjustment for age, sex, income level, AF, and comorbidities. Survival rates (SRs) with and without AF were compared. The death records from 2006 through 2016 were included.

RESULTS

A total of 3,999 ACHD had AF (51.4% were male) and 62,691 ACHD did not have AF (43.5% were male); the proportion of ACHD who were 60 years and older was 53.0% and 27.0% in those with and without AF, respectively (P < 0.001). The age-standardized incidence rate for AF was 1,842.0 persons per 100,000 people in the Korean general population from 2006 through 2015. For AF in ACHD, it was 5,996.4 persons per 100,000 ACHD during the same period, which was higher than that in the general population (P < 0.001). Significantly higher proportion of death (20.9%) occurred in ACHD with AF than without AF (8.3%) (P < 0.001). The adjusted hazard ratio for AF of death in ACHD was 1.39 (95% confidence interval, 1.29-1.50). The ten-year SR of ACHD with AF was 69.7% whereas it was 87.5% in non-AF (P < 0.001).

CONCLUSION

In ACHD, AF occurs more frequently and has a worse prognosis than seen in the non-valvular general population in Korea. AF is associated with increased death in ACHD, especially with aging.

Health behaviors in major chronic diseases patients: trends and regional variations analysis, 2008-2017, Korea

Background

Improving the health behaviors of those with chronic diseases such as hypertension and diabetes is important for disease management. Few in-depth studies have been conducted in Korea on the health behaviors of chronic disease patients. This study examined the health behaviors of chronic disease patients over time and compared them with those of the general population.

Methods

Cross-sectional time-series data obtained from the Korea Community Health Survey from 2008 to 2017 were analyzed. Thirteen diseases were included in this analysis, namely, hypertension, diabetes, dyslipidemia, stroke, myocardial infarction, angina, osteoarthritis, osteoporosis, asthma, allergic rhinitis, atopic dermatitis, cataract, and depression. The current smoking rate, drinking rate, and the walking rate, which are leading health behaviors necessary for preventing chronic diseases, were analyzed by disease type. We compared patients’ health behaviors with those of the general population and identified regional variations.

Results

Although the current overall smoking rate was seemingly declining, the overall monthly drinking and high-risk drinking rates were increasing. In 2017, patients experiencing depression symptoms had a higher smoking rate than did the general population; hypertension and diabetes patients had a higher risk-drinking rate than did the latter. The general population’s walking rate was highest. There were considerable variations by region among chronic disease patients.

Conclusions

Chronic disease patients displayed worse health behaviors than those of the general population, in some instances. Rather than focusing only on chronic disease patients’ medication adherence, strategies must be devised to increase their smoking cessation rate, decrease their drinking rate, and increase their walking rate.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-020-09940-7.

Survival and causes of death for Takayasu's arteritis in Korea: A retrospective population-based study

OBJECTIVE

Few studies have evaluated survival of Takayasu's arteritis (TAK; M31.4) in Korea. The purpose of this study was to assess the survival rate (SR) and causes of death for TAK.

METHODS

Newly diagnosed TAK data (N = 2731) were collected from the National Health Insurance Service in Korea from 2006 through 2017. The Kaplan-Meier method was used. Korean death data was used from 2006 through 2018.

RESULTS

The mean age was 48.1 (±16.9) years. The proportion of female patients was 74.4%. The most common cause of death in TAK was diseases of the circulatory system. The 1-, 3-, 5-, and 10-year SRs were 97.5%, 94.7%, 91.7%, and 84.7%, respectively. The 1-, 3-, 5-, and 10-year SRs by gender were 97.8%, 95.6%, 92.9%, and 86.3%, respectively, among females and 96.8%, 92.2%, 88.4%s and 79.7%, respectively, among males (P < .001).

CONCLUSIONS

The overall 10-year SR was about 85%. The 10-year SR in males was lower than that in females. The most common cause of death in TAK was diseases of the circulatory system.

The incidence, prevalence, and survival rate of thromboangiitis obliterans in Korea: a retrospective population-based study

Background

Few studies used nationwide data to assess the age-standardized prevalence rate, incidence rate, 10-year survival rate, and death risk of thromboangiitis obliterans (TAO; Buerger's disease).

Methods

Data for 24,392 patients who had newly diagnoses related to TAO (I73.1) from 2006 through 2017 were extracted from the National Health Insurance Service in Korea. The age-standardized prevalence rate, incidence rate, 10-year survival rate, and death risk of TAO were analyzed.

Results

The mean (standard deviation) age of TAO patients overall was 62.0 (15.7) years; 61.3 (15.4) in males and 63.2 (16.1) in females (P<0.001). The proportion of patients older than 50 years old was about 80% overall. The proportion patients who died of TAO was 28.1%. Overall, the age-standardized prevalence rate of TAO decreased from 11.1 persons per 100,000 persons in 2006 to 8.43 persons in 2017, and overall, the incidence rate of TAO decreased from 6.07 persons in 2006 to 3.38 persons in 2017. The age-standardized prevalence rate and incidence rate in males were higher than that in females. The 10-year survival rate of TAO was about 65% (60.7% in males and 72.5% in females). The adjusted hazard ratio increased significantly with older age, male sex, hypertension, diabetes mellitus, myocardial infarction, heart failure, ischemic stroke, hemorrhagic stroke, chronic kidney disease, and malignant neoplasm.

Conclusions

The 10-year survival rate of TAO was about 65%. Even though the age-standardized prevalence rate and incidence rate of TAO is decreased during the study period, the adjusted hazard ratio showed significantly increases with age and with male sex after adjustment for comorbidities.

Income-related inequality in quality-adjusted life expectancy in Korea at the national and district levels

BACKGROUND

The aim of this study was to measure differences in quality-adjusted life expectancy (QALE) by income in Korea at the national and district levels.

METHODS

Mortality rates and EuroQol-5D (EQ-5D) scores were obtained from the National Health Information Database of the National Health Insurance Service and the Korea Community Health Survey, respectively. QALE and differences in QALE among income quintiles were calculated using combined 2008-2014 data for 245 districts in Korea. Correlation analyses were conducted to investigate the associations of neighborhood characteristics with QALE and income gaps therein.

RESULTS

QALE showed a graded pattern of inequality according to income, and increased over time for all levels of income and in both sexes, except for low-income quintiles among women, resulting in a widened inequality in QALE among women. In all 245 districts, pro-rich inequalities in QALE were found in both men and women. Districts with higher QALE and smaller income gaps in QALE were concentrated in metropolitan areas, while districts with lower QALE and larger income gaps in QALE were found in rural areas. QALE and differences in QALE by income showed relatively close correlations with socioeconomic characteristics, but relatively weak correlations with health behaviors, except for smoking and indicators related to medical resources.

CONCLUSIONS

This study provides evidence of income-based inequalities in health measured by QALE in all subnational areas in Korea. Furthermore, QALE and differences in QALE by income were closely associated with neighborhood-level socioeconomic characteristics.

Disability Weights Measurement for 289 Causes of Disease Considering Disease Severity in Korea

BACKGROUND

For the Korean Burden of Disease (KBD) 2015 study, we have amended disability weights for causes of disease adapting the methodology of the KBD disability weight 2012 study.

METHODS

We conducted a self-administered web-based survey in Korea using ranking five causes of disease. A total of 605 physicians and medical college students who were attending in third or fourth grade of a regular course performed the survey. We converted the ranked data into paired comparison data and ran a probit regression. The predicted probabilities for each cause of disease were calculated from the coefficient estimates of the probit regression. 'Being dead (1)' and 'Full health (0)' were utilized as anchor points to rescale the predicted probability on a scale from 0 to 1.

RESULTS

As a result, disability weights for a total of 289 causes of disease were estimated. In particular, we calculated the disability weights of 60 causes of disease considering severity level. These results show that prejudice about the severity of cause of disease itself can affect the estimation of disability weight, when estimating the disability weight for causes of disease without consideration of severity. Furthermore, we have shown that disability weights can be estimated based on a ranking method which can maximize efficiency of data collection.

CONCLUSION

Disability weights from this study can be used to estimate disability adjusted life year and healthy life expectancy. Furthermore, we expected that the use of the ranking method will increase gradually in disability weight studies.