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. 2014 May-Jun;35 Suppl 2(0 2):S235-46.
doi: 10.1097/BCR.0000000000000076.

Predicting resource utilization in burn treatment

Sandra Taylor  1 , Terese Curri, MaryBeth Lawless, Soman Sen, David G Greenhalgh, Tina L Palmieri
Affiliations

Predicting resource utilization in burn treatment

Sandra Taylor et al. J Burn Care Res. 2014 May-Jun.
No abstract available

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Conflict of interest statement

Conflicts of Interest and Sources of Funding

The authors have no conflicts of interest.

Figures

Figure 1
Figure 1
Predicted probability of at least one operation (A) and at least one operating room visit (B) The proportion of the burn that was full thickness was fixed at 50% and no inhalation injury was assumed.
Figure 2
Figure 2
Predicted number of operations with (A) and without (B) inhalation injury and predicted number of operating room visits with (C) and without (D) inhalation injury. The proportion of the burn that was full thickness was fixed at 50%.
Figure 3
Figure 3
Predicted versus observed number of patients receiving 1 to 9 operative procedures (A & B) and number of patients with 1 to 9 total operating room visits (C & D) for the training and test sets. Error bars are 95% confidence limits derived from bootstrap resampling. Asterisks indicate observed values for the training and test sets.
Figure 4
Figure 4
Predicted probability of at least one day in ICU without (A) and with (B) inhalation injury and predicted probability of at least one day on a ventilator without (C) and with (D) inhalation injury. The proportion of the burn that was full thickness was fixed at 50%.
Figure 5
Figure 5
Predicted length of ICU stay (days) without (A) and with (B) inhalation injury and predicted number of ventilator days without (C) and with (D) inhalation injury. The proportion of the burn that was full thickness was fixed at 50%.
Figure 6
Figure 6
Predicted versus observed number of patients in intensive care for 1 to 9 days (A & B) and on a ventilator for 1 to 9 days (C & D) for the training and test sets. Error bars are 95% confidence limits derived from bootstrap resampling. Asterisks indicate observed values for the training and test sets.
See this image and copyright information in PMC

References

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