Table 3.
Multiple Logistic Regression for Likelihood of CCT, on Day Prior to Death.a
| Factor | Independent OR | 95% CI | P-value |
|---|---|---|---|
| Trauma arrest | 9.25 | 1.88–79.80 | .015 |
| Total operations | 1.72 | 1.08–2.90 | .030 |
| PC consultation | .24 | .10–.54 | <.001 |
| FC within 1 day of death | 3.69 | 1.45–9.99 | .008 |
| Full code at admission | 8.01 | 1.36–86.21 | .041 |
Abbreviations: CCT, critical care time; OR, odds ratio; CI, confidence interval; PC, palliative care; FC, family conversation.
Multiple logistic regression models demonstrating independent effects of clinical factors on likelihood of critical care billing documentation on the day prior to death. This model was constructed using a forward and backward stepwise approach with age, gender, occurrence of a trauma arrest, arrival GCS, ISS, blood product utilization, number of ventilator days, total operations, palliative care consultation, occurrence of bedside family discussions, and occurrence of a family discussion within 1 day of death as inputs. Demonstrated are the results of the best-fit model.