The gaps in health-adjusted life Expectancy (HALE) by income and region in Korea

Abstract   This study aims to calculate the health-adjusted life expectancy (HALE) by using years lived with disability (YLD) from the national claims data, as well as to identify the differences and inequalities in sex, income level and region. The study was carried out on total population receiving national health insurance and medical benefits. We calculated incidence-based YLD for 260 disease groups, and used it as the number of healthy years lost to calculate HALE. We adopted the insurance premium to calculate the income as a proxy indicator. For the region classification, we chose 250 Korean municipal-level administrative districts. The primary outcome was HALE in the Korean population. The second outcome was the HALE’s gap in terms of sex, income, and region. Our results revealed that HALE increased from 2008 (68.89 years) to 2019 (70.58 years). HALE in males increased faster than that in females. HALE was higher in higher income levels. In 2019, the gap in HALE between Q1 and Q2, the lower income group, was about 5.70 years. The gap in females by income level was smaller than that in males. Moreover, the gap in HALE by region was found to increase. Results suggest that there is an inequality in YLD in terms of income level in Korea. Therefore, we need intensive management for the low-income group to increase HALE at the national level. Key messages • Males’ health level may be more sensitive to the socioeconomic level than females’ health level. • In the 5th National Health Plan (HP2030), it was decided to set a target value for the overall goals based on this result.

This study aims to calculate the health-adjusted life expectancy (HALE) by using years lived with disability (YLD) from the national claims data, as well as to identify the differences and inequalities in sex, income level and region. The study was carried out on total population receiving national health insurance and medical benefits. We calculated incidence-based YLD for 260 disease groups, and used it as the number of healthy years lost to calculate HALE. We adopted the insurance premium to calculate the income as a proxy indicator. For the region classification, we chose 250 Korean municipal-level administrative districts. The primary outcome was HALE in the Korean population. The second outcome was the HALE's gap in terms of sex, income, and region. Our results revealed that HALE increased from 2008 (68.89 years) to 2019 (70.58 years). HALE in males increased faster than that in females. HALE was higher in higher income levels. In 2019, the gap in HALE between Q1 and Q2, the lower income group, was about 5.70 years. The gap in females by income level was smaller than that in males. Moreover, the gap in HALE by region was found to increase. Results suggest that there is an inequality in YLD in terms of income level in Korea. Therefore, we need intensive management for the low-income group to increase HALE at the national level.

Background:
Interregional patients' migration, according to Italian Law, can be considered an expression of the (inviolable?) right to health and freedom of choice regarding place of care. It contributing, albeit perversely, to guaranteeing equity in the Italian National Health Service allowing citizens to overcome territorial inequalities in the distribution of healthcare services. The aim of our study was to analyze fulfilment of needs for orthopaedic intensive rehabilitation hospital services on site and interregional patients' migration trends.

Methods:
We conducted an observational cross sectional study on Hospital Discharge Cards provided by the Ministry of Health, upon specific request, from 2011 to 2019. The study of interregional patients' migration, for orthopaedic intensive rehabilitation, relative to single Italian regions was carried out from data of Residents, Attractions and Escapes, which were graphically developed through Gandy's Nomogram. Trend analysis (Cuzick's Test) was performed through STATA. Were considered statistically significant at level of 95% (p < 0.05).

Results:
In our studied period, Gandy's Nomogram showed that only Piedmont, Lombardy, A.P. of Trento, E. Romagna, Umbria and Abruzzo had a good public hospital planning for orthopaedic intensive rehabilitation. Attractions increased significantly for Lombardy, A.P. of Trento, Veneto and Basilicata, while they decreased significantly for A.P. of Bolzano, Veneto, F.V. Giulia, Abruzzo, Calabria and Sicily. Escapes increased significantly for Veneto, F.V. Giulia, E. Romagna, Tuscany, Molise, Puglia and Basilicata, while they decreased significantly for Piedmont, Aosta Valley, A.P. of Trento, Umbria, Abruzzo and Sicily.

Conclusions:
Only six regions (4 in the North, 1 in the Centre and 1 in the South) satisfied care needs of their Residents, with an Attractions minus Escapes positive balance. Only A.P. of Trento appears to have been able to reduce Escapes and increase Attractions at the same time.

Key messages:
Studying patients' migration by type of health benefit makes it possible to identify specific situations of lack of supply. Patients' migration is an indirect Index of a region's health policy.