Establishment of Fracture Liaison Service in Korea: Where Is It Stand and Where Is It Going?

Overview

Journal J Bone Metab

Date 2019 Dec 14

PMID 31832386

Citations 8

Authors

Yong Han Cha

Yong-Chan Ha

Jae-Young Lim

Affiliations

Soon will be listed here.

Abstract

The elderly population growth rate is extremely high in Korean society, and life expectancy is close to 85 years old for women and 80 for men as of people born in 2015. The future hip fracture prediction model of Korea shows that the elderly hip fracture rate will increase by 1.4 times by 2025, which will impose a serious socioeconomic burden on Korean society and become a key issue of public health management. The fracture liaison service (FLS) is defined adequate treatment and services for patients over 50 years old with fragility fractures, enabling systematic identification and decreasing the risk of subsequent osteoporotic fractures. In Korean society, the introduction of FLS, which is verified not only in the socioeconomic aspects but also in the treatment of patients, is thought to be essential. However, the challenges that need to be addressed in order to implement FLS include the lack of awareness regarding the necessity of this system, the lack of healthcare systems, and inadequate policies. In the future, further studies on the FLS and its clinical and socioeconomic effects for the Korean medical system will be necessary.

Citing Articles

The impact of a fracture liaison service for patients with femoral fractures on subsequent fractures and mortality: focusing on systematic literature review and metaanalysis.

Kim M, Yang J, Cha Y, Kim S, Park M, Kim J Arch Osteoporos. 2025; 20(1):24.

PMID: 39955675 DOI: 10.1007/s11657-025-01505-8.

Comparative Interrupted Time Series Analysis of Medical Expenses in Patients with Intertrochanteric Fracture Who Underwent Internal Fixation and Hemiarthroplasty.

Kim S, Cha Y, Jang S, Kim B, Lee H, Kim G Hip Pelvis. 2024; 36(2):144-154.

PMID: 38825824 PMC: 11162872. DOI: 10.5371/hp.2024.36.2.144.

Osteoporosis Feature Selection and Risk Prediction Model by Machine Learning Using a Cross-Sectional Database.

Cha Y, Seo S, Kim J, Kim J, Lee S, Yoo J J Bone Metab. 2023; 30(3):263-273.

PMID: 37718904 PMC: 10509024. DOI: 10.11005/jbm.2023.30.3.263.

Effect of Artificial Intelligence or Machine Learning on Prediction of Hip Fracture Risk: Systematic Review.

Cha Y, Kim J, Kim J, Seo S, Lee S, Yoo J J Bone Metab. 2023; 30(3):245-252.

PMID: 37718902 PMC: 10509025. DOI: 10.11005/jbm.2023.30.3.245.

Fracture Liaison Service in Korea: 2022 Position Statement of the Korean Society for Bone and Mineral Research.

Lim J, Kim Y, Kim J, Hong S, Min K, Beom J J Bone Metab. 2023; 30(1):31-36.

PMID: 36950838 PMC: 10036182. DOI: 10.11005/jbm.2023.30.1.31.

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