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Decision Support Techniques clinical trials

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NCT ID: NCT05463887 Recruiting - Quality of Life Clinical Trials

Personalized Disease Prevention

PDP
Start date: August 5, 2022
Phase: N/A
Study type: Interventional

This study will evaluate whether patients and their providers benefit from an evidence-based decision tool to help prioritize preventive (and select chronic disease management) services based on their potential to improve quality-adjusted life expectancy, individualized for patient risk factors. The study seeks to enroll 600 patients and 60 primary care providers. Half of providers will be assigned to an intervention to utilize the decision tool with approximately 10 high-priority patients each (patients of particular interest to the research study, on whom follow-up outcomes will be collected), and half will be assigned to usual care. Surveys will be administered at baseline and approximately 6 months later; electronic health records data on preventive service utilization will be collected; and optional qualitative interviews may be conducted.

NCT ID: NCT05237635 Recruiting - Clinical trials for Decision Support Techniques

Defining Decision Thresholds for Judgments on Health Benefits and Harms: Study Protocol

Start date: June 9, 2020
Phase: N/A
Study type: Interventional

The objective of this study is an approach to derive and use decision-thresholds for judgments on health benefits and harms using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Evidence to Decision (EtD) frameworks.

NCT ID: NCT03327103 Recruiting - Clinical trials for Decision Support Techniques

Decision Navigation for Advanced Prostate Cancer Treatment Options Using mHealth

Start date: July 21, 2017
Phase: N/A
Study type: Interventional

Prostate cancer is a commonly diagnosed cancer, and is the second leading cause of cancer deaths among men in the U.S. The subgroup of men with advanced prostate cancer is particularly vulnerable to difficult choices for treatment because of the nature of their disease and having limited options. This study will test the use of an innovative Registered Nurse-Community Patient Navigator team delivered interactive mHealth decision aid for patients with advanced prostate cancer to help facilitate informed shared decisions about anti-cancer treatment that affects their quality of life.