Estimated additional hospital length of stay caused by 40 individual complications in injured patients: An observational study of 204,388 patients

Journal of Trauma and Acute Care Surgery

Volumn 74, Issue 3, 2013, Pages 921-925

  Osler, Turner M ^a   Rogers, Frederick B ^b   Hosmer, David W ^c  

^a UNIVERSITY OF VERMONT   (United States)

^b Lancaster General Health   (United States)

^c UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

Attributable risk; Complications; Length of stay; Regression modeling; Trauma

Indexed keywords

ADOLESCENT; ARTICLE; COMORBIDITY; ENDOBRONCHIAL INTUBATION; HEALTH INSURANCE; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HOSPITALIZATION; HUMAN; INFECTIOUS COMPLICATION; INJURY; LENGTH OF STAY; MAJOR CLINICAL STUDY; OBSERVATIONAL STUDY; PATIENT TRANSPORT; POSTOPERATIVE COMPLICATION; PRIORITY JOURNAL; WOUND DEHISCENCE;

ADULT; FEMALE; HUMANS; INCIDENCE; LENGTH OF STAY; MALE; MIDDLE AGED; PATIENT DISCHARGE; PENNSYLVANIA; PROGNOSIS; RETROSPECTIVE STUDIES; TRAUMA CENTERS; WOUND INFECTION; WOUNDS AND INJURIES;

EID: 84874886145     PISSN: 21630755     EISSN: 21630763     Source Type: Journal    
DOI: 10.1097/TA.0b013e31827e1d5e     Document Type: Article

References (20)

1. Pear R. Medicare says itwon't cover hospital errors. NY Times. Aug. 19, 2007. Available at http://www.nytimes.com/2007/08/19/washington/19hospital.html? pagewanted=all&-r=0. Accessed December 26, 2012.
2. Fuhrmans V. Insurers stop paying for care linked to errors. Wall Street J. 2008 January 15, 2008. Available at http://online.wsj.com/article/ SB120035439914 089727.html. Accessed December 26, 2012.
3. Barnett AG, Beyersmann J, Allignol A, Rosenthal VD, Graves N, Wolkewitz M. The time-dependent bias and its effect on extra length of stay due to nosocomial infection. Value Health. 2011;14:381-386.
4. Brasel KJ, Lim HJ, Nirula R, Weigelt JA. Length of stay: an appropriate quality measure? Arch Surg. 2007;142:461-466.
5. Varnava AM, Sedgwick JEC, Deaner A, Ranjadayalan K, Timmis AD. Restricted weekend service inappropriately delays discharge after acute myocardial infarction. Heart Educ Heart. 2002;87:216-219.
6. Mohan D, Rosengart MR, Farris C, Cohen E, Angus DC, Barnato AE. Assessing the feasibility of the American College of Surgeon's benchmarks for the triage of trauma patients. Arch Surg. 2011;146:786-792.
7. Pennsylvania Trauma Systems Foundation Annual Report 2007. Available at: http://www.ptsf.org/resource/images/pdf/Annual%20Report%202007.pdf. Accessed April 6, 2012.
8. Manning WG, Mullahy J. Estimating log models: to transform or not to transform. J Health Econ. 2001;20:461-494.
9. Osler T, Glance LG, Buzas JS, Mukamel D, Wagner J, Dick A. A trauma mortality prediction model based on the Anatomic Injury Scale. Ann Surg. 2008;247:1041-1048.
10. Greenland S, Drescher K. Maximum likelihood estimation of the attributable fraction from logistic models. Biometrics. 1993;49:865-872.
11. Newson R. PUNAF: A Computer Program by Roger Newson. National Heart and Lung Institute, Imperial College London, United Kingdom. Available at: http://fmwww.bc.edu/RePEc/bocode/p. Accessed January 25, 2011.
12. Ingraham AM, Xiong W, Hemmila MR, Shafi S, Goble S, Neal ML, Nathens AB. The attributable mortality and length of stay of trauma-related complications: a matched cohort study. Ann Surg. 2010;252:358-362.
13. Tisherman SA. Hypothermia and injury. Curr Opin Crit Care. 2004;10: 512-519.
14. Beilman G, Blondet Jj, Nelson T, Nathens A, Moore F, Rhee P, Puyana JC, Moore EE, Cohn SM. Early hypothermia in severely injured trauma patients is a significant risk factor for multiple organ dysfunction syndrome but not mortality. Ann Surg. 2009;249:845-850.
15. Clec'h C, Schwebel C, Francais D, et al. Does catheter-associated urinary tract infection increase mortality in critically ill patients? Infect Control Hosp Epidemiol. 2007;28:1367-1373.
16. Monaghan SF, Heffernan DS, Thakkar RK, Reinert SE, Machan JT, Connoly MD, Gregg SC, Kozloff MS, Adams CA, Cioffi WG. The development of a urinary tract infection is associated with increased mortality in trauma patients. J Trauma. 2011;71:1569-1574.
17. Chant C, Smith OM, Marshall JC, Friedrich JO. Relationship of catheterassociated urinary tract infection to mortality and length of stay in critically ill patients: a systematic review and meta-analysis of observational studies. Crit Care Med. 2011;39:1167-1173.
18. Koch CG, Li L, Hixson E, Tang A, Phillips S, Henderson M. What are the real rates of postoperative complications: elucidating inconsistencies between administrative and clinical data sources. J Am Coll Surg. 2012;214:798-805.
19. Graves N, Weinhold D, Tong E, Birrell F, Doidge S, Ramritu P, Halton K, Lairson D, Whitby M. Effect of healthcare-acquired infection on length of hospital stay and cost. Infect Control Hosp Epidemiol. 2007;28: 280-292.
20. Beyersmann J, Gasstmeier P, Wolkewitz M, Schumacher M. An easy mathematical proof showed that time-dependent bias inevitably leads to biased effect estimation. J Clin Epidemiol. 2008;61:1216-1221.