Venous thromboembolism (VTE) is a serious source of hospital morbidity and mortality. Chemoprophylaxis with heparin has been shown to reduce the occurrence of VTE, but it increases the risk of bleeding and it is uncomfortable to receive. For that reason, VTE prophylaxis should be reserved for patients at moderate to high risk of VTE and low risk of bleeding. However, identifying patients at low risk for VTE can be difficult, because most patients have at least one risk factor for VTE and there are no validated risk prediction tools for use in US hospitals. Instead, many hospitals have opted for a one-size-fits-all approach with near-universal prophylaxis, putting many patients at unnecessary risk of bleeding. However, to provide care that is truly patient-centered, US physicians face several challenges. First, there is no accepted risk calculator that they can use to estimate an individual patient's risk. Second, risk calculators are not readily available at the point of care. As a result, prophylaxis rates have remained stubbornly low in some institutions, while in others the rate of prophylaxis is high, but the rate of inappropriate prophylaxis is also high. This study uses a risk prediction tool developed at the Cleveland Clinic to assess an individual patient's risk of VTE. The tool is incorporated into the electronic health record in the form of a smart order set. In this randomized trial, we will assess the effects of the order set on physician behavior and patient outcomes . Examining the effectiveness of an electronic decision aid embedded in an EHR in routine clinical practice will test whether a smart order set can improve patient care by incorporating patient-specific factors into a complex decision process.
Specific Aim: Assess the effects of a VTE risk calculator embedded in the admission order set vs. usual care on physician behavior and patient outcomes in a randomized trial Research Strategy: Utilizing a Step-Wedge design, this randomized controlled trial (RCT) will be conducted at 10 Cleveland Clinic hospitals in efforts to assess the effects of a VTE (venous thromboembolism) risk calculator embedded in the admission order set vs. usual care on physician behavior and patient outcomes. Hospitals will be randomized to display the risk calculator to physicians admitting patients or to the usual order set that contains only a description of VTE risk factors. The risk calculator will produce a predicted risk of VTE together with a recommendation regarding the use of prophylaxis for an individual patient. Physicians will be free to ignore the calculator or override its results if they so choose.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Enrollment
90,537
Venous thromboembolism (VTE) risk calculator embedded in the admission order set with personalized recommendation for prophylaxis
Cleveland Clinic Health System
Cleveland, Ohio, United States
Appropriate VTE prophylaxis
Proportion of patients at high risk of VTE who receive prophylaxis and the proportion of patients at low risk who do not receive prophylaxis
Time frame: within 48 hours of index hospitalization admission
Total patients receiving prophylaxis
All patients who received any chemoprophylaxis during hospitalization, regardless of risk status.
Time frame: 14 days
Rate of VTE among high risk patients
Symptomatic VTE events not present on admission occurring among patients at high risk for VTE according to the risk calculator.
Time frame: 14 days
Rate of VTE among high risk patients
Symptomatic VTE events not present on admission occurring among patients at high risk for VTE according to the risk calculator.
Time frame: 45 days
Rate of major bleeding among high risk patients
Major bleeding events among patients with risk factors for bleeding.
Time frame: 14 days
Average cost of prophylaxis
Total cost of prophylaxis received during hospitalization
Time frame: 14 days
Average cost of hospitalization
Cost of hospitalization as determined by the hospital cost accounting system
Time frame: Up to 30 days
Average length of stay
Total days in hospital
Time frame: Up to 30 days
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