Table 3

Multivariate models
Strategy’s effectiveness (N=3498) *
Variable OR 95% CI P
Intervention 0.841 0.735 - 0.963 0.01
Age 1.004 0.998 - 1.010 0.18
Sex 0.921 0.803 - 1.057 0.24
General Medicine Unit 0.604 0.500 - 0.730 <0.001
Geriatrics Unit 0.739 0.592 - 0.924 0.008
Charlson 1.079 1.009 - 1.155 0.02
Follow-up (N=248) at 1 year *
Variable OR 95% CI P
Intervention 0.818 0.476 - 1.405 0.47
Age 0.998 0.976 - 1.020 0.83
Sex 0.877 0.514 - 1.494 0.63
General Medicine Unit 0.440 0.162 - 1.195 0.11
Geriatrics Unit 0.575 0.183 - 1.808 0.34
Charlson 1.324 0.997 - 1.759 0.05
Overall LOS (N=3498)
Variable IRR 95% CI P
Intervention 0.829 0.718 - 0.958 0.01
Age 0.982 0.963 - 1.001 0.07
Sex 0.939 0.758 - 1.163 0.57
General Medicine Unit 0.221 0.174 - 0.282 <0.001
Geriatrics Unit 0.293 0.224 - 0.383 < 0.001
Charlson 1.020 0.958 - 1.087 0.53
Reason: “ Without any apparent reason ” (N=1682) * ‡
Variable OR 95% CI P
Intervention 0.672 0.539 - 0.837 0.001
Age 1.017 1.006 - 1.028 0.003
Sex 0.804 0.644 - 1.005 0.06
General Medicine Unit 0.253 0.188 - 0.341 <0.001
Geriatrics Unit 0.134 0.094 - 0.193 <0.001
Charlson 1.059 0.950 - 1.181 0.30

* Estimates of the relative rate (OR -  Odds Ratio) were obtained from multivariate logistic model.

† Estimates of the relative rate (IRR  -  Incident Rate Ratio) were obtained from multivariate Poisson model.

‡ The number of observations is smaller because the estimates are based on the subset of patient - days showing delays due to problems with activities under medical staff control.

Caminiti et al.

Caminiti et al. BMC Health Services Research 2013 13:14   doi:10.1186/1472-6963-13-14

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