1.Erratum to: Corrigendum: 2023 Korean Society of Menopause -Osteoporosis Guidelines Part I
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong-Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(3):179-179
2.Erratum to: Corrigendum: 2023 Korean Society of Menopause -Osteoporosis Guidelines Part I
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong-Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(3):179-179
3.Trends in Healthy Life Expectancy (HALE) and Disparities by Income and Region in Korea (2008–2020): Analysis of a Nationwide Claims Database
Yoon-Sun JUNG ; Young-Eun KIM ; Minsu OCK ; Seok-Jun YOON
Journal of Korean Medical Science 2024;39(6):e46-
Background:
Healthy life expectancy is a well-recognized indicator for establishing health policy goals used in Korea’s Health Plan. This study aimed to explore Koreans’ healthy life expectancy and its gender, income, and regional disparities from 2008 to 2020.
Methods:
This study was conducted on the entire population covered by health insurance and medical aid program in Korea. The incidence-based “years lived with disability” for 260 disease groups by gender, income level, and region was calculated employing the methodology developed in the Korean National Burden of Disease Study, and it was used as the number of healthy years lost to calculate health-adjusted life expectancy (HALE).
Results:
Koreans’ HALE increased from 68.89 years in 2008 to 71.82 years in 2020. Although the gender disparity in HALE had been decreasing, it increased to 4.55 years in 2020. As of 2020, 5.90 years out of 8.67 years of the income disparity (Q5–Q1) in HALE were due to the disparity between Q1 and Q2, the low-income groups. Income and regional disparities in HALE exhibited an increasing trend, and these disparities were higher in men than in women.
Conclusion
A subgroup with a low health level was identified through the HALE results, and it was confirmed that improving the health level of this population can reduce health inequalities and improve health at the national level. Further exploration of the HALE calculation methodology may help in the development of effective policies such as prioritizing interventions for health risk factors.
4.Measuring the Burden of Disease in Korea Using Disability-Adjusted Life Years (2008–2020)
Yoon-Sun JUNG ; Young-Eun KIM ; Minsu OCK ; Seok-Jun YOON
Journal of Korean Medical Science 2024;39(7):e67-
Background:
The measurement of health levels and monitoring of characteristics and trends among populations and subgroups are essential for informing evidence-based policy decisions.This study aimed to examine the burden of disease in Korea for both the total population and subgroups in 2020, as well as analyze changes in disease burden from 2008 to 2020.
Methods:
We employed the methodology developed in the Korean National Burden of Disease and Injuries Study to calculate disability-adjusted life years (DALYs) by sex, causes, region, and income level from 2008 to 2020. DALYs were derived by combining years of life lost and years lived with disability.
Results:
In 2020, the burden of disease for the Korean population was estimated to be 25,439 DALYs per 100,000 population, reflecting a 13.8% increase since 2008. The leading causes of DALYs were diabetes mellitus, followed by low back pain and ischemic stroke. A sex-specific gap reversal was observed, with the disease burden for men surpassing that of women starting in 2017. Furthermore, variations in disease burden were identified across 250 regions and income quintiles.
Conclusion
It is imperative to establish appropriate health policies that prioritize the diseases with significantly increasing burdens and subgroups experiencing high disease burdens. The findings of this study are expected to serve as a foundation for developing healthcare policies aimed at improving the health levels of Koreans and achieving health equity.
5.Trends of Gaps Between HealthAdjusted Life Expectancy and Life Expectancy at the Regional Level in Korea Using a Group-Based Multi-Trajectory Modeling Approach (2008–2019)
Chung-Nyun KIM ; Yoon-Sun JUNG ; Young-Eun KIM ; Minsu OCK ; Dal-Lae JIN ; Seok-Jun YOON
Journal of Korean Medical Science 2024;39(17):e145-
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.
6.The 2024 Guidelines for Osteoporosis - Korean Society of Menopause
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong- Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(1):1-23
7.The 2024 Guidelines for Osteoporosis - Korean Society of Menopause: Part II
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong-Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(2):55-77
8.Corrigendum: 2023 Korean Society of Menopause - Osteoporosis Guidelines Part I
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong-Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(2):126-126
9.Erratum to: Corrigendum: 2023 Korean Society of Menopause -Osteoporosis Guidelines Part I
Dong Ock LEE ; Yeon Hee HONG ; Moon Kyoung CHO ; Young Sik CHOI ; Sungwook CHUN ; Youn-Jee CHUNG ; Seung Hwa HONG ; Kyu Ri HWANG ; Jinju KIM ; Hoon KIM ; Dong-Yun LEE ; Sa Ra LEE ; Hyun-Tae PARK ; Seok Kyo SEO ; Jung-Ho SHIN ; Jae Yen SONG ; Kyong Wook YI ; Haerin PAIK ; Ji Young LEE
Journal of Menopausal Medicine 2024;30(3):179-179
10.Development and Feasibility Evaluation of Smart Cancer Care 2.0 Based on Patient-Reported Outcomes for Post-Discharge Management of Patients with Cancer
Jin Ah KWON ; Songsoo YANG ; Su-Jin KOH ; Young Ju NOH ; Dong Yoon KANG ; Sol Bin YANG ; Eun Ji KWON ; Jeong-Wook SEO ; Jin sung KIM ; Minsu OCK
Cancer Research and Treatment 2024;56(4):1040-1049
Purpose:
A “Smart Cancer Care” platform that integrates patient-reported outcomes (PROs) with management has been established in Korea. This study focused on improving health behaviors and connecting patients to welfare services by introducing and assessing the feasibility of “Smart Cancer Care 2.0,” an enhanced version designed for monitoring complications post-cancer treatment.
Materials and Methods:
Smart Cancer Care 2.0 was developed by conducting a literature review and consulting with expert panels to identify symptoms or variables requiring monitoring and management guidelines based on the treatment type. Qualitative and quantitative surveys were conducted to assess the feasibility of the app and web system based on the experiences of patients with cancer and healthcare workers.
Results:
A total of 81 symptoms or variables (chemotherapy-, surgery-, radiotherapy-, rehabilitation-, and health management-related) were selected for management in Smart Cancer Care 2.0. PROs for these symptoms were basically categorized into three severity grades: preventive management, self-treatment, and consultation with a healthcare worker or visit to a healthcare institution. The overall mean scores in the feasibility evaluation by patients and healthcare workers were 3.83 and 3.90 points, respectively, indicating high usefulness.
Conclusion
Smart Cancer Care 2.0 leverages the existing information and communication technologies–based platform, Smart Cancer Care, and further includes health behaviors and welfare services. Smart Cancer Care 2.0 may play a crucial role in establishing a comprehensive post-discharge management system for patients with cancer as it provides suitable interventions based on patients’ responses and allows the regularly collected PROs to be easily viewed for streamlined care.

Result Analysis
Print
Save
E-mail