Table 2.
Multinomial Multivariate Logistic analysis. Relationships between improvement in clinical status and variables related to acute and postacute phases
| Independent variables | ||||||||
|---|---|---|---|---|---|---|---|---|
| Time from acute event | Age | LOS – ICU | LOS – SA+RH | APC | TP | |||
| Model A | ||||||||
| Clinically stable vs. improving | R 2 = .179 (Cox and Snell), .202 (Nagelkerke); Model χ2(2) = 16.163, p = .003** | |||||||
| B (SE) | −442 (0.962) | −0.001 (0.001) | ||||||
| OR (95% CI) | 1.010 (0.981–1.040) | 0.999 (0.997–1.001) | ||||||
| Sig. | .516 | .383 | ||||||
| Clinical Worsening vs. improving | ||||||||
| B (SE) | 0.998 (964) | 0.003 (0.15) | −0.005 (0.002) | |||||
| OR (95% CI) | 1.003 (974–1.034) | 0.995 (0.992–0.998) | ||||||
| Sig. | .826 | .001** | ||||||
| Model B | ||||||||
| Clinically stable vs. improving | R 2 = .128 (Cox and Snell), .144 (Nagelkerke); Model χ2(2) = 10.509, p = .033* | |||||||
| B (SE) | 0.392 (0.840) | −0.009 (0.022) | −0.001 (0.001) | |||||
| OR (95% CI) | 0.991 (0.950–1.035) | 0.999 (0.996–1.002) | ||||||
| Sig. | .688 | .496 | ||||||
| Clinical Worsening vs. improving | ||||||||
| B (SE) | 0.922 (0.878) | −0.001 (0.023) | −0.004 (0.002) | |||||
| OR (95% CI) | 0.999 (0.954–1.046) | 0.996 (0.992–0.999) | ||||||
| Sig. | .956 | .011* | ||||||
LOS‐ICU, length of stay in intensive care units; LOS SA+RH, length of stay in subacute and rehabilitation units; APC, patients who complete their cure and care process in the same region of residence; TP, number of hospitalization for each patient during his care process. Clinical worsening vs improving: the probability to have a decrease in patient diagnosis during post acute hospitalization rather than the probability to have an increase in clinical status (y=improving).
*Predictors statistically significant in the model: p < .05; **p < .01; ***p < .0001