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Table 3 Multivariate models

From: Reducing unnecessary hospital days to improve quality of care through physician accountability: a cluster randomised trial

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

  1. * Estimates of the relative rate (OR -  Odds Ratio) were obtained from multivariate logistic model.
  2. † Estimates of the relative rate (IRR  -  Incident Rate Ratio) were obtained from multivariate Poisson model.
  3. ‡ 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.