Table 4.
Multilevel regression model of being admitted to an inappropriate ward.
| OR | 95%CI | |
|---|---|---|
| Individuals characteristics | ||
| Age (y) | ||
| 15-44 | Ref | |
| 45-74 | 1.18 | 0.88-1.58 |
| 75-84 | 1.40 | 1.02-1.91 |
| ⩾85 | 1.39 | 1.02-1.91.39 |
| Sex | ||
| Male | Ref | |
| Female | 1.01 | 0.84-1.22 |
| Supplementary health insurance coverage | ||
| Private | Ref | |
| Universal complementary health coverage or none | 1.06 | 0.79-1.43 |
| How the patient reached the ED | ||
| By his own means or ambulance | Ref | |
| Firefighters or SAMU | 0.83 | 0.65-1.07 |
| Times of ED arrival (h) | ||
| 8-12 | Ref | |
| 12-20 | 1.29 | 1.02-1.63 |
| 20-8 | 1.41 | 1.07-1.85 |
| Presenting complaint | ||
| Falls, head injury, and other traumatic injury (without surgical need) | Ref | |
| Cardio-pulmonary | 0.55 | 0.31-0.96 |
| Gastro-enterologic | 0.90 | 0.46-1.74 |
| Neurologic | 0.81 | 0.43-1.51 |
| Other | 0.72 | 0.40-1.31 |
| ED and department characteristics | ||
| Type of hospital | ||
| Public academic | Ref | |
| Public non-academic or not-for-profit-private hospitals | 0.62 | 0.42-0.92 |
| For-profit private hospitals | 0.9 | 0.48-1.68 |
| Emergency department attendance (number of annual visits) | ||
| Less than 15 000 or equal | Ref | |
| 15 001-30 000 | 1.96 | 1.15-3.33 |
| 30 001-45 000 | 3.36 | 1.87-6.02 |
| More than 45 001 | 3.35 | 1.79-6.26 |
| Number of hospitalization beds in acute medical unit in the hospital (per 10 000 ED annual visits) | ||
| <30 | Ref | |
| 30-49 | 1.16 | 0.36-3.76 |
| 50-69 | 1.68 | 0.54-5.20 |
| More than 70 | 2.42 | 0.85-6.87 |
| Elderly rate | ||
| <15% | Ref | |
| ⩾15% | 1.5 | 1.10-2.04 |
| County rate of dependent elderly persons | ||
| <20.6% | Ref | |
| ⩾20.6% | 1.14 | 0.85-1.53 |
| Number of long-term care and nursing home beds per 100 000 patients older than 75 y in the county | ||
| <123.4 | Ref | |
| ⩾123.4 | 1.23 | 0.92-1.66 |
| Number of acute care beds per 100 000 inhabitants in the county | ||
| <395 | Ref | |
| ⩾395 | 1.09 | 0.80-1.49 |