Table 2 Hierarchical linear regression for nurses and physicians.

Block

1

2

3

4

1

2

3

4

Block 1: Clinician demographics

Age

–.006

.006

–.002

–.002

–.008

.003

–.004

.000

Male gender

–.020

–.002

.030

.034

.115

.076

.061

.060

Tenure

.009

.007

.023

.019

–.015

–.002

.020

.022

Block 2: Organization demographics

Teaching hospital

–

.025

.049

.044

–

–.191

–.110

–.083

Province: ^†

Manitoba

–

–.050

–.013

–.006

–

.186

.133

.149

Ontario

–

.040

–.028

–.026

–

.054

–.155

–.134

Location of care

ER

–

–.067

–.006

.026

–

–.029

–.040

.049

OR

–

.049

–.028

–.031

–

.104

.107

.098

CCU

–

–.019

–.019

–.012

–

–.262

–.525

–.427

LTC

–

–.012

–.085

–.100^b

–

–.040

–.089

–.050

Community

–

–.088

–.128^b

–.135^b

–

–.436^c

–.405^c

−355^c

Paediatrics

–

.130^b

.024

.030

–

.078

.020

.050

Mental health

–

–.196^c

–.129^a

–.118^a

–

.168

.159

.100

Block 3:

Organization leadership

–

–

.226^c

.095^c

–

–

351^c

.201^c

Block 4:

Unit leadership

–

–

–

.221^c

–

–

–

.259^c

Total R²

.000

.026^c

.139^c

.184^c

.011

.108^a

.338^c

.384^c

Change in R²

.000

.025

.113

.045

.011

.097

.230

.046