Rapid Evaluation for Stroke Outcomes Using Lytics in Vascular Event (RESOLVE) Registry and Implementation Quality Improvement Study "RESOLVE"

Completed

Phase N/A Results N/A

Trial Description

Despite abundant evident supporting the use of acute reperfusion therapy in the setting of acute ischemic stroke (AIS), adoption of this practice in routine clinical care is poor. We hypothesize that a significant barrier is the difficulty in weighing the benefits and risks of rt-PA treatment in the care of an individual patient, a problem compounded by the time urgency of decision-making and clinical fears that weigh risks of treatment more heavily than benefits.
The goal of this Quality Improvement (QI) study is to leverage an IT solution that we have developed, ePRISM, that executes multivariable risk models with patient-specific data so that a personalized estimate of an individual's outcomes (both risks and benefits) with and without rt-PA, can be generated so support safer, more effective clinical care. Through an earlier project, we will have programmed ePRISM with the best available risk-stratification models and developed a clinically useful format for presenting the data to support clinical decision-making in AIS.
Through QI, we propose to identify the optimal mechanism for integrating the tool within the routine flow of patient care in preparation for more definitive studies, or dissemination strategies, to improve the treatment of patients with AIS.

Detailed Description

Specific Aim 1: Implement ePRISM and the RESOLVE Decision Aid (DA) at 2 sites (Saint Luke's Hospital in Kansas City and Saint Luke's North) for Emergency Department (ED) access and decision support.
1. Procedures and Evaluation
1. Map process flow and define the optimal points of care for both the informed consent and decision aid.
2. Pre-implementation registry or data retrieval of patient/family satisfaction with information during consent process pre-PRISM, as well as time from presentation to treatment.
3. Implementation of ePRISM software and the RESOLVE DA.
4. Monitor proportion of patients in whom the RESOLVE DA is used.
5. Post-implementation registry or data retrieval of patient/family satisfaction and knowledge, as well as time from presentation to treatment.
6. Interviews of providers on confidence in making treatment decisions.
7. Monitor patient outcomes through 90 day follow up phone call as per the standard of care.
Specific Aim 2: Implement ePRISM and the RESOLVE DA onsite at the the Barnes Jewish Hospital Emergency Department. After optimizing the integration of ePRISM and the RESOLVE DA at Saint Luke's Hospital and Saint Luke's North, we will evaluate strategies for implementation at Barnes Jewish Hospital's Emergency Department Telestroke Program.

Conditions

Trial Design

  • Observation: Cohort
  • Perspective: Prospective
  • Sampling: Non-Probability Sample

Trial Population

Adult patients

Outcomes

Type Measure Time Frame Safety Issue
Primary Successful implementation of ePRISM and the RESOLVE DA in 3 ED's and a telestroke program. 2 years No
Secondary Patient/family satisfaction. 2 years No
Secondary Knowledge transfer. 2 years No
Primary Successful implementation of ePRISM and the RESOLVE DA in 3 ED's and a telestroke program. 2 years No

Sponsors