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An Optimization Trial of a Stakeholder-enhanced Intervention to Improve the Decisional Partnership of Chronic Kidney Disease Dyads (IMPART)
Using a highly innovative methodology, the Multiphase Optimization Strategy (MOST), the purpose of this study is to pilot test, an optimization trial approach …
Natural Language Processing-Based Feedback to Improve Physician Risk Communication and Informed Shared Decision Making in Men With Clinically Localized Prostate Cancer
The purpose of the research is to assess the impact of a natural language processing + artificial intelligence (NLP+AI)-based risk communication feedback syste…
Identifying the Neural Correlates of Mental Simulation in Multi-Step Planning
Planning is the ability to think ahead by considering possible future actions and their consequences. This research study aims to understand how the brain supp…
Supporting Data-driven Decision-Making to Support Substance Use Service Expansion Policies and to Prevent Overdoses
Oregon's decision makers (e.g., community service providers, public health, justice, advocacy groups, payers) are calling for comprehensive, current, and trust…
ACE Pilot 3: Decision Aid 2 Options vs 3 Options
This research protocol is exploring a behavioral intervention: shared decision making with the use of a decision aid to select a post-operative analgesic. Spec…