DOI QR코드

DOI QR Code

의무기록 정보를 활용한 노인 오토바이 운수사고의 특성에 관한 연구

A Study on Characteristics of Motorcycle Accident among Korean Elderly using Medical Record Information

  • 김혜랑 (건양대학교 보건복지대학원) ;
  • 이무식 (건양대학교 의과대학 예방의학교실) ;
  • 박아르마 (건양대학교 휴머니티칼리지) ;
  • 김광환 (건양대학교 병원경영학과 )
  • Hye-Rang Kim (Department of Public health, Graduate School of Konyang University) ;
  • Moo-Sik Lee (Department of Preventive Medicine, College of Medicine, Konyang University) ;
  • Arma Park (Humanity College, Konyang University) ;
  • Kwang-Hwan Kim (Dept. of Hospital Management, Konyang University)
  • 투고 : 2023.08.25
  • 심사 : 2023.09.20
  • 발행 : 2023.09.28

초록

본 연구의 목적은 노인 오토바이 운수사고 입원환자의 노인분류에 따른 특성을 분석하여 노인 오토바이 운수사고의 손상 예방 대책을 마련하기 위한 기초자료의 제공에 있다. 2015년~2019년의 질병관리청 퇴원손상심층조사 자료 중 오토바이 운수사고로 입원한 노인 입원환자 1,384명을 대상으로 카이제곱검정, 독립표본 t-검정, 정준상관분석을 실시하였다. 진료 및 치료 정보 특성은 연소 노인과 고령 노인 모두 두개내 손상(S06)이 많았고, 손상 부위와 손상 유형은 각각 머리/목, 골절이 가장 많았다. 손상 발생 장소는 길/간선도로, 손상 시 활동은 이동중이 가장 많았다. 이상의 연구결과로 볼 때, 노인 오토바이 운수사고의 특성을 파악하여 이들을 집중적으로 관리하기 위한 국가적 차원의 예방 교육 및 정책 수립이 필요할 것으로 판단된다. 이 연구는 손상 예방과 감소를 위한 대책 마련 및 정책 개발에 필요한 기초 자료를 제공했다는 점에서 의의가 있다.

The purpose of this study was to analyze the characteristics of elderly motorcycle accidents according to data from elderly inpatients to prepare prevention measures for the elderly against injury in motorcycle accidents. Chi-squared test, independent sample t-test, and canonical correlation analysis were performed on the Korea Disease Control and Prevention Agency's National Hospital Discharge In-depth Injury Survey data from 2015 to 2019, from which the records of 1,384 elderly inpatients hospitalized because of motorcycle accidents were obtained. intracranial injury(S06) was the most common care and treatment characteristic for both age groups. The most frequent injury site was the head and neck, and the most frequent injury type was a fracture. The above findings show that prevention education and policy formulation at the national level are necessary to identify and manage the factors of elderly motorcycle accidents. This study provides basic data for developing measures and policies to prevent and reduce injuries, making it significant for public health causes.

키워드

참고문헌

  1. Road Traffic Authority. (2021). 2021 Edition Traffic Accident Statistical Analysis. Wonju: Road Traffic Authority. 
  2. Road Traffic Authority. (2021). Comparison of traffic accidents in OECD member countries in 2021. Wonju: Road Traffic Authority. 
  3. J. H, Yu, I. B. Choi & S. H. Song. (2020). A Study on Prevention of Traffic Accidents Through Motorcycle Accident Characteristics Analysis. Transportation Technology and Polic. 17(1). 29-36. 
  4. J. K. Cha, S.C.Kim, S.O.Park, D.Y.Hong, J.W.Kim, K.R.Lee, K.J.Beak, H.J.Jeon, S.M.Park, J.Y.Kim, Y.W.Gwak. (2015). Comparison of Injury Patterns and Severity between Younger and Older Rider in the Motorcycle Accident. Journal of The Korean Society of Emergency Medicine 26(2), 159-164. 
  5. S. C. Kang & S. G. Jo. (2012). Analysis of traffic accident characteristics of elderly drivers and research on accident prevention measures. Seoul: City Transportation and Communication Science Research Institute. 
  6. E. A. Seon. (2019). Legal and Institutional Improvement Plans for the Prevention of Damages from Traffic Accidents among Senior Citizens. Korean Public Land Law Association. 88. 193-213.  https://doi.org/10.30933/KPLLR.2019.88.193
  7. S. S. Kim, W, J, Kim & S. H. Kang. (2011). A study on the variation of severity adjusted LOS on Injry inpatient in Korea. Journal of Korea Academia-Industrial cooperation Society, 12(6), 2668-2676.  https://doi.org/10.5762/KAIS.2011.12.6.2668
  8. H. J. Ryu, S. H. Kang & Y. K. Boo. (2020). Association Between Transport Accident Type And Mortality In Elderly Inpatients : Using Korean National Hospital Discharge In-depth Injury Survey Dataset. Journal of Korea Academia-Industrial cooperation Society. 21(7). 616-624. DOI : 10.5762/KAIS.2020.21.7.616 
  9. Korea Disease Control and Prevention Agency. (2022). 2019 discharge injury statistics. Cheongju: Korea Disease Control and Prevention Agency. 
  10. Statistics Korea. (2015). Korean Standard Classifiction of Disease and Cause of Death(KCD 7th)-Volume 1. Deajeon: Statistics Korea. 
  11. J. H. Hong. O. L. Kim & E. H. Jo. (2021). Classification of diseases. Paju: soomoonsa. 
  12. Korean Health information management Association. (2004). International Classification of Medical Practices (ICD-9-CM,Volume 3). Seoul: Korean Health information management Association. 
  13. Barbara HM. (2006). Statistical Methods for Health Care Research. Seoul: Koonja Publisher. 
  14. T. S. Kim & K. H. Lee, T. H. Kim, O. H. Kim, Y. S. Cha, K. C. Cha & S. O. Hwang. (2014), Clinical Characteristics and Prognostic Factors of Geriatric Patients Involved in Traffic Accidents. Journal of Trauma and Injury, 27(4), 101-107. 
  15. S. K. Jung. (2020). Analysis of Traffic Safety Awareness of Elderly Drivers and Prevention of Traffic Accidents: Focused on Gyeongsangbuk-do entered Post-aged Society. National Association of Korean Local Government Studies, 22(1), 89-110.  https://doi.org/10.38134/klgr.2020.22.1.089
  16. J. Y. Lee & K. W. Lee. (2008). Clinical Characteristics in Geriatric Trauma Victims between a Metropolitan City and Rural Areas. Journal of The Korean Society of Emergency Medicine, 19(5), 506-512. 
  17. H. J. Kim & Y. K. Kim. (2018). Comparison of the Characteristics according to Injury Severity Score between Elderly and Non-elderly with Trauma. Journal of Korean Public Health Nursing, 32(2), 304-318. DOI : 10.5932/JKPHN.2018.32.2.304 
  18. J. H. Kim, B. S. Do, S. B. Lee, S. H. Lee, O. R. Kim & J. Y. Jung. (2016), Analysis of the Factors that Influence the Incidence and the Severity of Geriatric Trauma Patients and Correlation between the Factors. Journal of The Korean Society of Emergency Medicine, 17(2), 180-189. 
  19. S. C. Kang & S. G. Jo. (2012). Analysis of traffic accident characteristics of elderly drivers and research on accident prevention measures. Seoul: City Transportation and Communication Science Research Institute. 
  20. Y. H. Kim & K. H. Kim. (2015), Study about the relationship between Chief complaint of pure death patients using medical record information. Journal of Digital Convergence, 13(1), 407-414. DOI : 10.14400/JDC.2015.13.1.407 
  21. Ankarath S, Giannoudis P V, Barlow I, Bellamy M C, Matthews S J, Smith R M. (2002) Injury patterns associated with mortality following motorcycle crashes. Injury, 33(6), 473-477.  https://doi.org/10.1016/S0020-1383(02)00048-7
  22. Brown C V, Hejl K, Bui E, Tips G, Coopwood B. (2011). Risk Factors for Riding and Crashing a Motorcycle Unhelmeted. The Journal of emergency medicine, 41(4), 441-446.  https://doi.org/10.1016/j.jemermed.2009.07.024
  23. Mayrose J. (2008). The effects of a mandatory motorcycle helmet law on helmet use and injury patterns among motorcyclist fatalities. Journal of Safety Research. 39(4), 429-432. DOI : 10.1016/j.jsr.2008.07.001 
  24. Ha N T, Ederer D, Vo V A, Pham A V, Mounts Anthony, Nolen L D & Sugerman D. (2017). Changes in motorcycle-related injuries and deaths after mandatory motorcycle helmet law in a district of Vietnam, Traffic Injury Prevention, 19(1), 75-80. DOI : 10.1080/15389588.2017.1322203 
  25. Y. R. Song, (2017). A study on the Characteristics of Length of Hospital Stays of Injured and Traumatic Death Patients : Based on the Korea National Hospital Discharge Injury Survey Data. degree of Master. Konyang University. Daejeon. 
  26. Hsieh C H, Hsu S Y, Hsieh H Y, Chen Y C. (2017). Differences between the sexes in motorcycle-related injuries and fatalities at a Taiwanese level I trauma center. Biomedical Journal. 40(2). 113-120. https://doi.org/10.1016/j.bj.2016.10.005