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Scenario 1: A decision-analytic tree model is applied to assess the expected costs of a new intervention for treating stroke patients compared to standard

   

Scenario 1: A decision-analytic tree model is applied to assess the expected costs of a new intervention for treating stroke patients compared to standard care in the St. Catharines General Hospital. See figure for inpatient and intervention cost and probabilities of patients accepting/rejecting new intervention, patients with the adverse events (leading to hospitalization) and no adverse events. Answer questions 1.1 through 1.4. Question 1.1: What is the expected cost of accepting treatment (Rx)? Question 1.2: What is the expected cost of refusing treatment (Rx)? Question 1.3: What is the expected cost of intervention arm? Question 1.4: What is the expected cost of standard care? Q3 Calculate expected cost for the intervention arm Intervention $? Q4 Q1 Calculate expected cost for treatment accepted Accepted Rx. $? P= 0.85 Q2 Calculate expected cost for refused Refused Rx. $? AE-stroke (Hospitalized) P= 0.10 No AE (Not hospitalized) P= 0.90 AE-Stroke (Hospitalized) P= 0.30 Inpatient cost 1000 0 1000 Intervention cost 500 500 0 Q4 Calculate expected cost for the stand. care Standard care $? 88 Refused Rx. $? P= 0.15 AE-Stroke (Hospitalized) P= 0.30 No AE (Not hospitalized) P= 0.70 No AE (Not hospitalized) P= 0.70 P= 0.30 Maximum number of characters (including HTML tags added by text editor): 32,000 1000 0 1000 0 0 0 0 0

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