Measurement error due to patient flow in estimates of intensive care unit length of stay

American Journal of Epidemiology

Volumn 186, Issue 12, 2017, Pages 1389-1395

  Harhay, Michael O ^a   Ratcliffe, Sarah J ^a   Halpern, Scott D ^a,b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Bias; Epidemiology; Length of stay; Measurement error; Outcomes; RCT

Indexed keywords

EPIDEMIOLOGY; ERROR ANALYSIS; ESTIMATION METHOD; HEALTH CARE; IMMUNE RESPONSE; MEASUREMENT METHOD; MORTALITY; RESEARCH WORK;

ADULT; ARTICLE; CONTROLLED STUDY; FEMALE; HUMAN; INTENSIVE CARE UNIT; LENGTH OF STAY; MALE; MEASUREMENT ERROR; MORTALITY RATE; RANDOMIZED CONTROLLED TRIAL; SIMULATION; STATISTICAL ANALYSIS; COMPUTER SIMULATION; EPIDEMIOLOGY; HOSPITAL MORTALITY; MEASUREMENT ACCURACY; PROCEDURES; STATISTICS AND NUMERICAL DATA; TIME FACTOR; TREATMENT OUTCOME;

COMPUTER SIMULATION; DATA ACCURACY; EPIDEMIOLOGIC METHODS; HOSPITAL MORTALITY; HUMANS; INTENSIVE CARE UNITS; LENGTH OF STAY; OUTCOME AND PROCESS ASSESSMENT (HEALTH CARE); TIME FACTORS;

EID: 85039986912     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwx222     Document Type: Article

References (14)

1. Halpern NA, Pastores SM. Critical care medicine beds, use, occupancy, and costs in the United States: a methodological review. Crit Care Med. 2015;43(11):2452-2459.
2. Harhay MO, Wagner J, Ratcliffe SJ, et al. Outcomes and statistical power in adult critical care randomized trials. Am J Respir Crit Care Med. 2014;189(12):1469-1478.
3. Altman DG, Royston P. The cost of dichotomising continuous variables. BMJ. 2006;332(7549):1080.
4. Lin W, Halpern SD, Prasad Kerlin M, et al. A "placement of death" approach for studies of treatment effects on ICU length of stay. Stat Methods Med Res. 2017;26(1):292-311.
5. Wagner J, Gabler NB, Ratcliffe SJ, et al. Outcomes among patients discharged from busy intensive care units. Ann Intern Med. 2013;159(7):447-455
6. Kerlin MP, Small DS, Cooney E, et al. A randomized trial of nighttime physician staffing in an intensive care unit. N Engl J Med. 2013;368(23):2201-2209.
7. Harvey SE, Parrott F, Harrison DA, et al. Trial of the route of early nutritional support in critically ill adults. N Engl J Med. 2014;371(18):1673-1684.
8. Heidegger CP, Berger MM, Graf S, et al. Optimisation of energy provision with supplemental parenteral nutrition in critically ill patients: a randomised controlled clinical trial. Lancet. 2013;381(9864):385-393.
9. Schoenfeld DA, Bernard GR; ARDS Network. Statistical evaluation of ventilator-free days as an efficacy measure in clinical trials of treatments for acute respiratory distress syndrome. Crit Care Med. 2002;30(8): 1772-1777.
10. Rice TW, Mogan S, Hays MA, et al. Randomized trial of initial trophic versus full-energy enteral nutrition in mechanically ventilated patients with acute respiratory failure. Crit Care Med. 2011;39(5):967-974.
11. Aberegg SK, Richards DR, O'Brien JM. Delta inflation: a bias in the design of randomized controlled trials in critical care medicine. Crit Care. 2010;14(2):R77.
12. Rubenfeld GD. Confronting the frustrations of negative clinical trials in acute respiratory distress syndrome. Ann Am Thorac Soc. 2015;12(suppl 1):S58-S63.
13. Carroll RJ. Measurement Error in Epidemiologic Studies. Wiley StatsRef: Statistics Reference Online. Hoboken, NJ: John Wiley & Sons, Ltd; 2014.
14. Fuller WA. Measurement Error Models. Hoboken, NJ: Wiley-Interscience; 2006.