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Table 3 Regression Analysis

From: Impact of pharmacist-conducted anticoagulation patient education and telephone follow-up on transitions of care: a randomized controlled trial

Readmission Rates Including Unplanned Physician’s Clinic Visit
Patient called or had face-to-face contact with physician within 3 days (unplanned contact)a
Variable ORah 95% CI p-Value
 Hypertension 0.211 0.046–0.974 0.046
Patient readmitted within 30 days (all-cause)b
Variable ORah 95% CI p-Value
 Indication of Anticoagulant – VTE Treatment 9.198 1.122–75.389 0.039
 Past Medical History – Heart Failure 2.731 0.862–8.562 0.088
Bleeding Outcomes
Bleeding within 3 daysc
Variable ORah 95% CI p-Value
 Age 1.068 1.000–1.142 0.051
Bleeding within 30 daysd
Variable ORah 95% CI p-Value
 HASBLED Score 1.365 0.959–1.942 0.084
Minor Bleeding within 30 dayse
Variable ORah 95% CI p-Value
 History of Bleeding 1.340 1.124–1.602 0.025
Clinically Relevant Non-major Bleeding within 30 daysf
Variable ORah 95% CI p-Value
 HASBLED Score 1.416 0.813–2.466 0.219
Major Bleeding within 30 daysg
Variable ORah 95% CI p-Value
 History of Bleeding 1.072 0.976–1.162 0.057
  1. a Variables with a p-value of 0.2 or less in the bivariate analysis were included in the initial model. Those include: Age, Allergic to one or more drug, Hypertension, CKD, and history of GI Bleeding. Using Backward LR method, the model finally retained the variables shown in this table. Hosmer and Lemshow test for sample adequacy p-value: 0.907
  2. bVariables with a p-value of 0.2 or less in the bivariate analysis were included in the initial model. Those include: Smoker, Indication of anticoagulant, the anticoagulant prescribed, and Heart Failure as a past medical history.  Using ENTER method, the model finally retained the variables shown in this table. Hosmer and Lemshow test for sample adequacy p-value: 0.952.
  3. c Variables with a p-value of 0.2 or less in the bivariate analysis were included in the initial model. Those include: Age, Weight, Smoker, and Indication of anticoagulants. Using Backward LR method, the model finally retained the variables shown in this table. Hosmer and Lemshow test for sample adequacy p-value: 0.404
  4. d Variables with a p-value of 0.2 or less in the bivariate analysis were included in the initial model. Those include:Age, History of Bleeding, Hypertension as a medical history, Indication for anticoagulants, and HASBLED score. Using Backward LR method, the model finally retained the variables shown in this table. Hosmer and Lemshow test for sample adequacy p-value: 0.647.
  5. e Variables with a p-value of 0.2 or less in the bivariate analysis were included in the initial model. Those include: BMI, Gender, Indication of anticoagulant, and history of bleeding. Using Backward LR method, the model finally retained the variables shown in this table. Hosmer and Lemshow test for sample adequacy p-value: 0.435.
  6. f Variables with a p-value of 0.2 or less in the bivariate analysis were included in the initial model. Those include: Allergic to one or more drug, Antiplatelet use upon admission, Cancer, and HASBLED score. Using Backward LR method, the model finally retained the variables shown in this table. Hosmer and Lemshow test for sample adequacy p-value: 0.408.
  7. g Variables with a p-value of 0.2 or less in the bivariate analysis were included in the initial model. Those include: History of Allergy, Hypertension as a medical history, History of bleeding, and HASBLED score of more than 3. Using Backward LR method, the model finally retained the variables shown in this table. Hosmer and Lemshow test for sample adequacy p-value: 0.721.
  8. hORa: Odds ratio (adjusted)
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