References
- Garland A. Improving the ICU: part 1. Chest 2005; 127: 2151-79 https://doi.org/10.1378/chest.127.6.2151
- Kim EK, Kwon YD, Hwang JH. Comparing the performance of three severity scoring systems for ICU patients: APACHE III, SAPS II, MPM II. J Prev Med Public Health 2005; 38: 276-82
- Chae YJ, Lee JY, Lee YJ, Yoon KB, Lim HK. Usefulness of APACHE III score on admission in relation to the length of stay in the ICU. Korean J Anesthesiol 2004; 46: 702-7 https://doi.org/10.4097/kjae.2004.46.6.702
- Kwon YD, Ahn HS, Shin YS. Severity measurement methods and comparing hospital death rates for coronary artery bypass graft surgery. J Prev Med Public Health 2001; 34: 244-52
- Jeong I, Kim M, Kim J. Predictive accuracy of severity scoring system: a prospective cohort study using APACHE III in a Korean intensive care unit. Int J Nurs Stud 2003; 40: 219-26 https://doi.org/10.1016/S0020-7489(02)00062-7
- Knaus WA, Wagner DP, Draper EA, Zimmerman JE, Bergner M, Bergner PG, et al. The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest 1991; 100: 1619-36 https://doi.org/10.1378/chest.100.6.1619
- Pappachan JV, Millar B, Bennett ED, Smith GB. Comparison of outcome from intensive care admission after adjustment for case mix by the APACHE III prognostic system. Chest 1999; 115: 802-10 https://doi.org/10.1378/chest.115.3.802
- Rivera-Fernández R, Vázquez-Meta G, Bravo M, Aguayo-Hoyos E, Zimmerman J, Wagner D, et al. The Apache III prognostic system: customized mortality predictions for Spanish ICU patients. Intensive Care Med 1998; 24: 574-81 https://doi.org/10.1007/s001340050618
- Wong DT, Knaus WA. Predicting outcome in critical care: the current status of the APACHE prognostic scoring system. Can J Anaesth 1991; 38: 374-83 https://doi.org/10.1007/BF03007629
- Iezzoni LI, Ash AS, Shwartz M, Daley J, Hughes JS, Mackiernan YD. Judging hospitals by severity adjusted mortality rates: the influence the severity adjustment method. Am J Public Health 1996; 86: 1379-87 https://doi.org/10.2105/AJPH.86.10.1379
- Iezzoni LI, Ash AS, Shwartz M, Landon BE, Mackiernan YD. Predicting in-hospital deaths from coronary artery bypass graft surgery. Do different severity measures give different predictions? Med Care 1998; 36: 28-39 https://doi.org/10.1097/00005650-199801000-00005
- Carmel S, Rowan K. Variation in intensive care unit outcomes: a search for the evidence on organizational factors. Curr Opin Crit Care 2001; 7: 284-96 https://doi.org/10.1097/00075198-200108000-00013
Cited by
- The inter-hospital variations of the intensive care unit (ICU) mortality in Korea: what's the problem and what do we have to do to solve it? vol.57, pp.6, 2009, https://doi.org/10.4097/kjae.2009.57.6.691
- 퇴원손상심층조사 자료를 이용한 의료기관 중증도 보정 사망비 비교 vol.13, pp.4, 2009, https://doi.org/10.5762/kais.2012.13.4.1739
- 복합만성질환 입원환자의 중증도 보정 사망비에 대한 융복합 연구 vol.13, pp.12, 2009, https://doi.org/10.14400/jdc.2015.13.12.245
- A Study on the Development of Predictive Model for Patient Visibility in Korean Intensive Care Units (ICUs) - Focused on "Corridor or Continental" type units vol.22, pp.3, 2009, https://doi.org/10.15682/jkiha.2016.22.3.27
- A Comparative Analysis of Patient Visibility, Spatial Configuration and Nurse Walking Distance in Korean Intensive Care Units(ICUs) - Focused on single corridor, Pod and Composite type units vol.22, pp.4, 2016, https://doi.org/10.15682/jkiha.2016.22.4.37
- 다차원적 요인이 중환자실 간호사의 소진에 미치는 영향 vol.23, pp.1, 2009, https://doi.org/10.22650/jkcnr.2017.23.1.9
- Performance of APACHE IV in Medical Intensive Care Unit Patients: Comparisons with APACHE II, SAPS 3, 216 and MPM0 III vol.33, pp.4, 2018, https://doi.org/10.4266/acc.2018.00178
- Effects of Medication Reconciliation and Cost Avoidance Analysis by Clinical Pharmacists in a Neurocritical Care Unit vol.11, pp.2, 2009, https://doi.org/10.18700/jnc.180064