References
- Statistical Office. (2017). Statistical yearbook of causes of death. http://kostat.go.kr
- K. B. Kim. (2014). The characteristics of traffic accidents and reduction methods by elderly drivers to prepare for the aging society-focused on Jeju. The Journal of the Korea Contents Association, 14(7), 151-160. https://doi.org/10.5392/JKCA.2015.15.04.197
- H. J. Jeon & Y. E. Choi. (2012). Analysis of Risk Factors and Injury Patterns in Geriatric Trauma Patients: Based on the In-depth Injury Patient Surveillance System Data. Journal of Korean Gerontological Nursing, 14(3), 151-161.
- Major Health Insurance Statistics for 2018. http://www.nhis.or.kr/
- Korea Centers for Disease Control and Prevention, Chronic Disease Management, Health Information, 2019.
- 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 the Korea academia-industrial cooperation Society, 12(6), 2668-2676. DOI : 10.5762/KAIS.2011.12.6.2668
- Traffic Accident Analysis System (TAAS). Elderly Traffic Accident Analysis, In-depth Analysis by Theme 2018. DOI :10.1111/j.1528-1167.2007.01414.x
- J. W. Seok. (2010). Analysis and Countermeasures for Elderly Pedestrian Traffic Accident. Kore an Geriatrics, 30(3), 843-853.
- S. S. Park. (2010). A Study on the Reduction Measures of Traffic Accident Casualties for Elderly Pedestrians-Elderly Pedestrian Traffic Accidents, Master's Thesis, Yeungnam University Graduate School of Public Administration, Daegu.
- OECD. Publishing. (2011). Health at a Glance: Asia/Pacific 2010. Organisation for Economic Co-operation and Development.
- Y. R. Song, M. S. Lee, D. R. Kim & K. H. Kim. (2017). A convergence study on the characteristics of length of hospita l stays of in jured and traumatic death patients-Based on the Korea national hospital discharge injury survey data. Journal of the Korea Convergence Society, 8(5), 87-96. DOI :10.15207/JKCS.2017.8.5.087
- OECD Health Statistics, 2018.
- Y. H. Kim, J. W. Moon & K. H. Kim. (2010). The determinant factors and medical charges pattern by length of stay in hospital. Korea Journal of Hospital Management, 15(2), 15-26.
- K. J. Leonard, M. S. Rauner, M. M. Schaffhauser-Linzatti & R. Yap. (2003). The effect of funding policy on day of week admissions and discharges in hospitals: the cases of Austria and Canada. Health Policy, 63(3), 239-257. DOI :10.1016/S0168-8510(02)00082-9
- A. Freitas, T. Silva-Costa, F. Lopes, I. Garcia-Lema, A. Teixeira-Pinto, P. Brazdil & A. Costa-Pereira. (2012). Factors influencing hospital high length of stay outliers. BMC health services research, 12(1), 265. https://doi.org/10.1186/1472-6963-12-265
- S. O. Hong, J. H Park, Y. T. Kim & S. H. Kang. (2015). The variation of factors of severity-adjusted length of stay in Injury of neck. Korea Inst Health Soc Af f, 35(2), 561-583. http://dx.doi.orq/10.15709/hswr.2015.35.2.561
- S. O. Hong, Y. T. Kim, Y. H. Choi, J. H. Park & S. H. Kang. (2015). Development of severity-adjusted length of stay In knee replacement surgery. Journal of digital Convergence, 13(2), 215-225. DOI : 10.14400/JDC.2015.13.2.215
- S. M. Kim & S. W. Hwang. (2013). Factors influencing High Length of stay outliers. Health Economics and Policy Studies(Former Health and Economic Research), 19(2), 81-96.
- K. Y. Nam. (2008). A Study on Derivation of Optimal Hospital Stay and Its Influence Factors in Hospital Management Aspects: Cerebral Infarction, Ammo, Pneumonia, Arthrosis. Master's Thesis, Kyung Hee University, Seoul.
- S. J. Kim, S. H. Yu & H. J. Oh. (2007). Factors associated with length of stay in elderly inpatients in a general hospital in Seoul. Korea Journal of Hospital Management, 12(2), 25-42.
- J. H. Kim, B. S. Do, S. B. Lee, S. H. Lee, O. R. Kim & J. Y. Chung. (2006). 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.
- M. E. Charlson, P. Pompei, K. L. Ales & C. R. MacKenzie. (1987). A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. Journal of chronic diseases, 40(5), 373-383. DOI : 10.1016/0021-9681(87)90171-8
- K. H. Kim. (2016). Comorbidity adjustment in health insurance claim database. Health Policy Manag, 26(1), 71. DOI : 10.4332/KJHPA.2016.26.1.71
- H. S. Park. (2015). Factors Affecting the Length of Stay in Hip Arthroplasty. Doctoral dissertati on, Graduate School of Gachon University, Incheon.
- H. Quan, V. Sundararajan, P. Halfon, A. Fong, B. Burnand, J. C. Luthi & W. A. Ghali. (2005). Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Medical care, 1130-1139. DOI :10.10970/01.mlr.0000182534.19832.83
- G. W. Lee, Y. J. Son & K. S. Lee. (2015). Effects of hospital's characteristic on the length of stay in middle-aged gonarthrosis inpatients. Health and Social Welfare Review. 35(4), 95-115. https://doi.org/10.15709/HSWR.2015.35.4.95
- M. J. Seo. (2013). A Study on the Injury Characteristics of Trauma Patients. Department of Public Health Graduate School of Public Health and Welfare Dankook University, Cheonan.
- Y. S. Shin. (2006) An Epidemiologic Study on Injury Characteristics. Graduate School of Public Health, Korea University, Seoul.
- Y. H. Nam. (2013). DevelopmentofInjuryPredicti onModel According to External Causes of Injury Using ICISS. Graduate School of Ewha Womans University, Seoul.
- S. A. Borkar, D. Agrawal, G. D. Saty arhee, D. Gupta & A. K. Mahapatra. (2011). Severe head injury in the elderly : risk factor assessment and outcome analysis in a series of 100 consecutive patients at a level 1 trauma centre, Indian Journal of Neurotrauma, 8(2), 77-82. DOI: 10.1016/S0973-0508(11)80004-3