Table 4. Predictors of the Use of Antithrombotic Therapy (Multivariate Model) Post-Intervention (N = 393) in a Cluster-Randomized Controlled Trial of a Computerized Antithrombotic Risk Assessment Tool (CARAT) for General Practitioners in New South Wales, Australia.

Variable	Odds Ratio (95% Confidence Interval)
Model A: Predictors of the use of anticoagulant therapy in preference to antiplatelet therapya
Use of CARAT for decision making in the intervention arm (vs control arm)	2.8 (1.1–7.3)b
History of uncontrolled hypertension	3.5 (1.4–8.3)b
Previous hemorrhagic stroke	0.1 (0.02–0.7)
Model B: Predictors of the use of warfarin in preference to other treatment optionsc
Intervention arm decision making after application of CARAT (vs control arm)	3.1 (1.7–5.7)b
History of uncontrolled hypertension	2.4 (1.3–4.1)b
Excessive alcohol intake	0.2 (0.05–1.0)
Language barrier	0.1 (0.01–0.7)
Increasing number of prescription medications being used	0.8 (0.6–0.9)
Increasing number of nonprescription medications being used	0.8 (0.6–1.0)
Malignancy	0.4 (0.2–0.8)
Previous hemorrhagic stroke	0.2 (0.3–0.97)

^a Model correctly classified 93.5% of cases. Cox and Snell R ² = 0.43; Nagelkerke R ² = 0.11.

^b More likely to receive the former therapy; analyses adjusted for selected factors.

^c Model correctly classified 81.4% of cases. Cox and Snell R ² = 0.12; Nagelkerke R ² = 0.19.