Research Article

Suicide Risk Assessment in Australian Emergency Departments: Assessing Clinicians’ Disposition Decisions

Table 3

Factors predicting disposition decisions.

Sig.OR95% C.I. for OR
LowerUpper

Scenario 1Risk rating*0.0022.7541.4685.167
Protective factor rating*0.0620.5570.3011.031
Staff age*0.9801.0010.9311.076
Years in ED*0.3541.0410.9561.133
Staff gender0.7981.1270.4502.827
ED type0.5750.7620.2951.968
Staff role0.4940.7100.2661.895
Constant0.0190.014

Scenario 2Risk rating*0.0022.7541.4685.167
Protective factor rating*0.0620.5570.3011.031
Staff age*0.2771.1120.9181.348
Years in ED*0.4760.9260.7491.144
Staff gender0.7981.3550.13313.782
ED type0.2320.2330.0212.547
Staff role0.10917.0660.529550.462
Constant0.0250.000

Scenario 3Risk rating*0.0002.6451.7963.895
Protective factor rating*0.0030.6770.5220.880
Staff age*0.0430.9190.8480.997
Years in ED*0.5960.9750.8881.071
Staff gender0.2711.8710.6135.711
ED type0.8491.1100.3823.223
Staff role0.1920.4680.1501.464
Constant0.9031.261

Scenario 4Risk rating*0.0006.0632.83912.950
Protective factor rating*0.9400.9830.6271.542
Staff age*0.0750.8820.7691.013
Years in ED*0.0401.2661.0111.585
Staff gender0.3982.2510.34214.791
ED type0.9330.9240.1475.798
Staff role0.2450.2490.0242.591
Constant0.0430.001

Scenario 5Risk rating*0.0004.0402.6566.145
Protective factor rating*0.0010.6880.5500.860
Staff age*0.7570.9890.9201.063
Years in ED*0.5191.0290.9431.124
Staff gender0.0792.2030.9135.313
ED type0.9421.0330.4252.515
Staff role0.8420.9140.3772.213
Constant0.0000.000

Continuous variable.
Outcome measure coded as 0: discharge, 1: admit. Statistical significance printed in boldface.