View clinical trials related to Decision Making, Shared.
Filter by:Using a highly innovative methodology, the Multiphase Optimization Strategy (MOST), the purpose of this study is to pilot test, an optimization trial approach to develop and refine the decision partnering skills of persons with stage 4 chronic kidney disease and their caregivers. Using a 2x2x2 full factorial design, 64 dyads (patients and one identified caregiver) will be randomized to receive one or more lay coach-delivered decision partnering training components, based on Pearlin's Stress-Health Model of Family Caregiving and Rini's Social Support Effectiveness theory. The components include: 1) caregiver coaching on effective decision support (1 vs. 3 sessions); 2) caregiver decision support communication training (1 session vs. none); and 3) patient social support effectiveness psychoeducation (yes vs. no).
Patient education plays an essential role in patient-centered care as it enhances patient satisfaction and information comprehension. However, about 40-80% of the information patients receive from healthcare professionals is forgotten and about half of the information patients remember is incorrect. To give informed consent, patients must be able to understand and recall the discussed information correctly. This is especially important in brain tumor patients, in which different treatment options determine outcome and risks. The goal of treatment in brain tumors is resection as completely as possible, without damaging healthy brain tissue. To this end, patients must understand the complex relation of the tumor to healthy brain tissue. This relation is different in each patient and three-dimensional (3D) in nature. Current two-dimensional visual tools lack the ability to properly display these complex 3D relations. In this study, we will investigate the effect of the use of 3D models in patient education, taking into account patient specific factors that might act as confounders. We will conduct a case control, multi-center study in the Radboud University Medical Center (Radboudumc) Maastricht University Medical Center (MUMC). Patients will be enrolled in the control group until inclusion for the control group is completed (n=30), after which patients will be enrolled in the intervention group (n=30). Patients will be cognitively tested using the Amsterdam Cognition Scale (ACS). After the consultation with their neurosurgeon, patients will be asked to fill out two questionnaires, consisting of two parts (patient experiences and information recall), one week apart.
A Patient Decision Aid (PtDA) is developed during a workshop in close collaboration with selected patients. The PtDA is subsequently used in the consultation between patient and physician to facilitate their shared decision on the dose of stereotactic body radiation therapy (SBRT) for lung tumors located less than 1 cm from the thoracic wall. Hypothesis: The use of a PtDA will increase the extent of Shared Decision Making (SDM) during the consultation and result in patients being more directly involved in the planning of their treatment.
The investigators will conduct a randomized control trial enrolling 366 older Veterans with multiple chronic conditions receiving primary care at the Michael E. DeBakey VA Medical Center and VA Connecticut Medical Center to determine if Patient Priorities Care reduces treatment burden, increases priorities-aligned home and community services, and sets shared health outcome goals compared with usual care. The investigators will randomize at the patient level rather than clinic or clinician level to evaluate the effect of identifying patient priorities on clinician decision making and alignment of care with identified priorities.
The purpose of this study is to find out if including a decision support tool in clinical practice guidelines will improve how doctors discuss the option of antenatal corticosteroid treatment with patients who might deliver at 34 to 36 weeks of pregnancy.
Stroke impacts nearly 400,000 Canadians annually. Three quarters of stroke survivors will live with minor to severe impairments or disabilities; which require rehabilitation care. Strong evidence supports beginning rehabilitation as soon as the patient's medical status has stabilized and continuing following discharge from acute care. Access to optimal services is hampered, however, by travel distances to access rehabilitation, the lack of opportunities for structured and formal interprofessional communication among service providers, and failures to engage the patient and family members in a structured decision making process. Moreover, adherence to rehabilitation treatments has been shown to be suboptimal. Many patients refuse their outpatient rehabilitation treatments outright or decrease the duration and/or frequency of their treatments over time. The aim of this proposed mixed methods pragmatic clinical trial is to evaluate an intervention that provides patients who have experienced stroke the opportunity to return home safely after their acute hospital stay, to encourage patient (and family) engagement in their rehabilitation care, and to overcome challenges of access to patient-centered interprofessional rehabilitation care. The proposed intervention will entail 220 patients (and family) to receive rehabilitation care through remote, live treatment sessions with an interdisciplinary group of clinicians (called telerehabilitation) versus standard of care (n = 110 patients). Five rehabilitation teams will be trained to develop rehabilitation treatment plans that engage the patient and family, while taking advantage of a telerehabilitation platform to engage the patient/family. Grounded in findings gathered through a Canadian Institute of Health Research (CIHR) funded pilot study, the primary study objective is to evaluate process, clinical outcomes and costs of telerehabilitation in comparison with usual care. Through qualitative interviews with patients and family as well as clinicians, a second objective of this pragmatic, controlled trial is to explore and describe contextual factors (both personal and environmental) that will help the delivery of care, and improve patient's outcomes while fully using technology to deliver stroke rehabilitation care. This study represents a unique, highly relevant opportunity to minimize both knowledge and practice gaps, while producing robust, indepth data on the factors related to the effectiveness of telerehabilitation.