Research Article
Long-Term Prediction of Emergency Department Revenue and Visitor Volume Using Autoregressive Integrated Moving Average Model
Table 2
Spearman correlation between ED revenue, trauma, nontrauma, and pediatric visits and related variables (January, 2005–December, 2008).
| Variable | ED revenue | Trauma visit | Nontrauma visit | Pediatric visit | Coefficient 95% CI | Lag values | Coefficient 95% CI | Lag values | Coefficient 95% CI | Lag values | Coefficient 95% CI | Lag values |
| Mean maximum temperature | 0.38 (0.33, 0.43)** | 1 month | −0.22 (−0.37, −0.07)* | 0 month | 0.45 (0.37, 0.53)** | 1 month | 0.31 (0.23,0.38)** | 1 month | Mean minimum temperature | −0.45 (−0.51, −0.39)** | 1 month | 0.41 (0.31, 0.52)** | 1 month | −0.33 (−0.45, −0.22)* | 1 month | −0.38 (−0.45, −0.32)** | 1 month | Relative humidity | 0.48 (0.40, 0.56)** | 0 month | −0.52 (−0.70, −0.35)* | 1 month | 0.23 (0.06, 0.39)* | 0 month | 0.34 (0.20, 0.57)* | 1 month | Accumulated rainfall | 0.47 (0.38, 0.56)** | 2 month | 0.28 (0.11, 0.46)* | 1 month | 0.12 (0.01, 0.22)* | 1 month | 0.23 (0.10, 0.36)* | 2 month | Stock index fluctuation | 0.18 (−0.03, 0.39)* | 1 month | 0.30 (0.20, 0.39)** | 2 month | 0.27 (0.20, 0.34)** | 1 month | 0.44 (0.30, 0.59)* | 1 month |
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*
, **, statistically significant.
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