Optimal timing of transfer out of the intensive care unit

American Journal of Critical Care

Volumn 22, Issue 5, 2013, Pages 390-397

  Garland, Allan ^a   Connors, Alfred F ^b  

^a UNIVERSITY OF MANITOBA   (Canada)

^b CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; COHORT ANALYSIS; FEMALE; HUMAN; INTENSIVE CARE UNIT; LENGTH OF STAY; MALE; MIDDLE AGED; MORTALITY; ORGANIZATION AND MANAGEMENT; PATIENT TRANSPORT; PROSPECTIVE STUDY; STATISTICAL MODEL; STATISTICS; TIME; UNITED STATES; UNIVERSITY HOSPITAL;

ACADEMIC MEDICAL CENTERS; ADULT; AGED; COHORT STUDIES; FEMALE; HUMANS; INTENSIVE CARE UNITS; LENGTH OF STAY; LOGISTIC MODELS; MALE; MIDDLE AGED; MORTALITY; OHIO; PATIENT TRANSFER; PROSPECTIVE STUDIES; TIME FACTORS;

EID: 84884968221     PISSN: 10623264     EISSN: None     Source Type: Journal    
DOI: 10.4037/ajcc2013973     Document Type: Article

References (20)

1. Task Force of the American College of Critical Care Medicine, Society of Critical Care Medicine. Guidelines for intensive care unit admission, discharge, and triage. Crit Care Med. 1999;27:633-638.
2. Truog RD, Brock DW, Cook DJ, et al. Rationing in the intensive care unit. Crit Care Med. 2006;34:958-963.
3. Garland A, Shaman Z, Baron J, Connors AF Jr. Physicianattributable differences in intensive care unit costs: a single- center study. Am J Respir Crit Care Med. 2006;174: 1206-1210.
4. Garland A, Connors AF Jr. Physicians' influence over decisions to forgo life support. J Palliat Med. 2007;10:1298-1305.
5. Daly K, Beale R, Chang RWS. Reduction in mortality after inappropriate early discharge from intensive care unit: logistic regression triage model. BMJ. 2001;322:1274-1276.
6. Goldfrad C, Rowan K. Consequences of discharges from intensive care at night. Lancet. 2000;355:1138-1142.
7. Social Security Death Index (SSDI). http://search.ancestry .com/search/db.aspx?dbid=3693. Accessed June 21, 2013.
8. Baker DW, Einstadter D, Thomas CL, Husak SS, Gordon NH, Cebul RD. Mortality trends during a program that publicly reported hospital performance. Med Care. 2002;40: 879-890.
9. Vasilevskis EE, Kuzniewicz MW, Dean ML, et al. Relationship between discharge practices and intensive care unit in-hospital mortality performance evidence of a discharge bias. Med Care. 2009;47:803-812.
10. Christensen S, Johansen M, Christiansen C, Jensen R, Lemeshow S. Comparison of Charlson comorbidity index with SAPS and APACHE scores for prediction of mortality following intensive care. Clin Epidemiol. 2011;3:203-211.
11. Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998; 36:8-27.
12. Marrie RA, Dawson NV, Garland A. Quantile regression and restricted cubic splines are useful for exploring relationships between continuous variables. J Clin Epidemiol. 2009;62:510-516.
13. Harrell FE Jr. Regression Modeling Strategies. New York, NY: Springer; 2001.
14. Hosmer DW, Lemeshow S. Applied Logistic Regression. New York, NY: Wiley; 1989.
15. Koenker R, Machado JAF. Goodness of fit and related inference processes for quantile regression. J Am Statistical Assoc. 1999;94:1296-1310.
16. Cade BS, Noon BR. A gentle introduction to quantile regression for ecologists. Frontiers Ecology Environment. 2003; 1:412-420.
17. Perlmutter D, Suico C, Krauss A, Auld P. A program to reduce discharge delays in a neonatal intensive care unit. Am J Manag Care. 1998;4:548-552.
18. Williams T, Leslie G. Delayed discharges from an adult intensive care unit. Australian Health Rev. 2004;28:87-96.
19. MacCallum R, Zhang S, Preacher K, Rucker D. On the practice of dichotomization of quantitative variables. Psychol Methods. 2002;7:19-40.
20. Duan N. Smearing estimate: a nonparametric retransformation method. J Am Statistical Assoc. 1983;78:605-610.