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Sung Ok Hong 2 Articles
Data resource profile: the Korea National Hospital Discharge In-depth Injury Survey
Yeon-Kyeng Lee, Sung Ok Hong, Soo-Jung Park, Mijin Park, Kyunghae Wang, Mini Jo, Jeongah Oh, Sin Ae Lee, Hyeon Ju Lee, Jungeun Oh, Dosang Lim, Sanghui Kweon, Youngtaek Kim
Epidemiol Health. 2021;43:e2021052.   Published online August 17, 2021
DOI: https://doi.org/10.4178/epih.e2021052
  • 4,807 View
  • 93 Download
  • 2 Citations
AbstractAbstract AbstractSummary PDF
Abstract
The Korea National Hospital Discharge In-depth Injury Survey (KNHDIS), which was started in 2005, is a national probability survey of general hospitals in Korea with 100 or more beds conducted by the Korea Disease Control and Prevention Agency (KDCA). The KNHDIS captures approximately 9% of discharged cases from sampled hospitals using a 2-stage stratified cluster sampling scheme, among which 13% are injury related cases, defined as S00-T98 (injury, poisoning, and certain other consequences of external causes) using International Classification of Diseases, 10th revision codes. The KNHDIS collects information on characteristics of injury-related discharges in order to understand the scale of injuries, identify risk factors, and provide data supporting prevention policies and intervention strategies. The types of data captured include the hospitals’ information, detailed clinical information, and injury-related codes such as the mechanism, activities undertaken when injured (sports, leisure activities, work, treatment, and education), external causes of the injury, and location of the occurrence of the injury based on the International Classification of External Causes of Injuries. Furthermore, the means of transportation, risk factors for suicide, and toxic substances are recoreded. Annual reports of the KNHDIS are publicly accessible to browse via the KDCA website (http://www.kdca.go.kr) and microdata are available free of charge upon request via email (kcdcinjury@korea.kr).
Summary
Korean summary
퇴원손상심층조사는 손상발생 규모 및 손상 퇴원환자의 발생 추이를 파악하고자 2005년 도입된국가 단위 통계를 산출하는 표본 조사 사업이다. 본 연구는 퇴원손상심층조사의 표본설계, 조사방법, 조사항목과 함께 그간의 조사결과의 활용도 등 성과에 대해 살펴보았다. 조사결과는 국가 손상예방관리를 위한 기초자료로 활용되고 있으며, 조사 원자료는 공개하고 있다.
Key Message
The Korea National Hospital Discharge In-depth Injury Survey (KNHDIS), started in 2005, is a national probability survey of general hospitals in Korea with 100 or more beds conducted by the Korea Disease Control and Prevention Agency. The KNHDIS collects information on characteristics of injury-related discharges to understand the scale of injuries, identify risk factors, and provide data supporting prevention policies. The data captured including the hospitals’ information, and injury-related codes based on the International Classification of External Causes of Injuries. Annual reports of the KNHDIS are publicly accessible from KDCA website and microdata are available upon request via email.

Citations

Citations to this article as recorded by  
  • Predictive model for early functional outcomes following acute care after traumatic brain injuries: A machine learning-based development and validation study
    Meng Zhang, Moning Guo, Zihao Wang, Haimin Liu, Xue Bai, Shengnan Cui, Xiaopeng Guo, Lu Gao, Lingling Gao, Aimin Liao, Bing Xing, Yi Wang
    Injury.2023;[Epub]     CrossRef
  • The Association between Comorbidities and Comorbid Injuries on Treatment Outcome in Pediatric and Elderly Patients with Injuries in Korea: An Observational Study
    Kyunghee Lee, Jieun Hwang
    International Journal of Environmental Research and Public Health.2022; 19(10): 6277.     CrossRef
Main results of the Korea National Hospital Discharge In-depth Injury Survey, 2004-2016
Sung Ok Hong, Boae Kim, Joongho Jo, Yunhyung Kwon, Yeon-Kyeng Lee, Youngtaek Kim
Epidemiol Health. 2020;42:e2020044.   Published online June 20, 2020
DOI: https://doi.org/10.4178/epih.e2020044
  • 7,858 View
  • 140 Download
  • 2 Citations
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
The purpose of this study was to estimate the incidence of injuries and to identify their causes by classifying injuries according to various categories including age, sex, mechanism of injury, body parts injured, and place of injury.
METHODS
This study used data from the Korea National Hospital Discharge In-depth Injury Survey (KNHDIS) from 2004 to 2016. The KNHDIS is conducted annually by the Korea Centers for Disease Control and Prevention, and its survey population includes all hospitalized patients discharged from medical institutions that have 100 or more beds, such as hospitals, general hospitals, and secondary community health centers. The number of injured cases is weighted and estimated using the mid-year estimated population of each year.
RESULTS
The injury discharge rate steadily increased since 2004 (1,505 per 100,000 population in 2004, 2,007 per 100,000 population in 2016) and most injuries were unintentional (annual average of 94.7%). On average, during the 13-year study period, the injury rate for males was 1.5 times as high as for females. The 2 main causes of injury were consistently traffic accidents and falls. Notably, the rate of injuries resulting from falls rose by 1.7-fold from 463 to 792 per 100,000 people, and exceeded the rate of traffic accidents in 2016.
CONCLUSIONS
The incidence of injuries steadily increased after the survey was first conducted, whereas mortality resulting from injuries mostly remained unchanged. This suggests that effective strategies and interventions should be reinforced to reduce unintentional injuries.
Summary
Korean summary
질병관리본부가 2005년부터 구축하여 운영 중에 있는 퇴원손상심층조사의 연도별 조사자료를 분석한 결과 10만명당 손상발생규모는 2004년 1,505명에서 2016년 2,007명으로 지속적으로 증가하였다. 이러한 꾸준한 증가 추세는, 손상으로 인한 사망률은 감소하였을지라도 손상 예방을 위한 효과적인 정책과 전략, 지속적인 모니터링이 필요성을 제시한다.
Key Message

Citations

Citations to this article as recorded by  
  • The Impact of the Association between Cancer and Diabetes Mellitus on Mortality
    Sung-Soo Kim, Hun-Sung Kim
    Journal of Personalized Medicine.2022; 12(7): 1099.     CrossRef
  • Comparison of Prediction Models for Mortality Related to Injuries from Road Traffic Accidents after Correcting for Undersampling
    Yookyung Boo, Youngjin Choi
    International Journal of Environmental Research and Public Health.2021; 18(11): 5604.     CrossRef

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