View clinical trials related to Implementation Science.
Filter by:This study will compare two strategies that target distinct determinants of blood culture overuse in an exploratory, hybrid, pilot trial in 8 PICUs. It aims to determine if there is any association between specific strategies used to reduce blood culture overuse on unit-wide blood culture rates, patient safety, and concurrently explore aspects of the implementation process (acceptability, feasibility, appropriateness).
The primary goal of this study is to assess real-world effectiveness and implementation of an evidence-based multi-component strategy to achieve equity in the allocation rate of advanced heart failure therapies, heart transplants and ventricular assist devices. This study proposes to implement evidence-based strategies that reduce bias, replace subjective evaluations with objective criteria, and improve group dynamics in a randomized cluster trial. This rigorously designed trial may inform national guidelines for advanced heart failure therapy allocation, and data are likely to be generalizable to other organ replacement treatments and advanced chronic disease decision-making processes.
This project, Refining and Implementing Technology-Enhanced Family Navigation to Promote Early Access and Engagement with Mental Health Services for Youth with Autism (ATTAIN NAV) is focused on adapting and implementing family navigation in primary care settings to help accelerate and facilitate engagement in mental health and community services for children with autism and their families.
Study objectives are to design and pilot test a novel, exposure-based implementation strategy (EBIS) directly targeting clinician anxiety and low self-efficacy for use of evidence-based suicide screening, assessment, and intervention (SSAI) strategies with patients at risk for suicide in community settings. Early phases of this study will develop the EBIS in partnership with community clinicians (n = 15). The last phase of this study is a pilot clinical trial in which 40 community mental health clinicians will be randomized to receive either implementation as usual (IAU) or IAU+EBIS.
One of the most important obstacles to improving end-of-life care is the inability of clinicians to reliably identify those who are approaching the end-of-life. Every aspect of a palliative approach to care - screening for unmet needs, treating symptoms, discussing goals of care, and developing a palliative management plan - depends on the reliable and accurate identification of patients with palliative needs. The investigators developed an accurate and reliable mortality prediction tool that automatically identifies patients in hospital at elevated risk of death in the coming year. In previous studies it has been shown that these patients also frequently have unmet palliative care needs at the time they are identified by the tool. This tool has been demonstrated feasible, acceptable to patients and providers, and effective for changing physician behaviour in an inpatient clinical context. In this project, this tool is implemented as part of an integrated knowledge translation project to facilitate reliable and timely identification of unmet palliative needs across multiple hospitals with different clinical settings and contexts. The investigators have partnered with 12 hospitals to improve the quality of palliative and end-of-life care provided to patients and families. With each partner site the investigators will develop a comprehensive implementation plan, including stakeholder engagement, education, and feedback. Process measures will be collected at each site to determine whether the tool was effective for promoting the identification and documentation of unmet palliative needs. Patients who were identified by the tool will also be followed over time to collect outcome and impact measures to see if their end-of-life care was affected by the intervention compared to control groups.