Table 3.
The multilevel logistic regression model with clinician and hospital random effects
Variable | N | Levels | Odds ratio | 95% CI | p-value |
---|---|---|---|---|---|
Group | 566 | Control | 0.843 | ||
594 | Intervention | 0.85 | 0.17-4.30 | ||
Survey | 275 | Baseline | 0.159 | ||
222 | 1st Follow-up | 0.37 | 0.14-0.96 | ||
220 | 2nd Follow-up | 0.42 | 0.16-1.16 | ||
443 | 3rd Follow-up | 0.41 | 0.17-0.98 | ||
Group × Survey | 103 | Intervention × Baseline | 0.048 | ||
119 | Intervention × 1st Follow-up | 1.03 | 0.28-3.72 | ||
109 | Intervention × 2ndFollow-up | 0.30 | 0.08-1.15 | ||
263 | Intervention × 3rd Follow-up | 0.30 | 0.09-1.02 | ||
Crackles | 742 | Absent | < 0.001 | ||
56 | Present | 6.98 | 2.61-18.67 | ||
362 | Not recorded | 2.11 | 1.29-3.44 | ||
Random-effects | N | Component | Estimate | 95% CI | |
Clinician | 308 | Standard deviation | 1.20 | 0.92-1.57 | |
Hospital | 8 | Standard deviation | 0.90 | 0.51-1.57 |