View clinical trials related to Hospitalizations.
Filter by:The goal of this pilot interventional study is to assess the feasibility and acceptability of a supportive intervention for patients affected by heart failure. The main questions it aims to answer are: - Are implementation strategies effective in facilitating participant fidelity? - What factors contribute to patients' satisfaction with the designed intervention, and how can these be optimized for improved patient experience and adherence? - Are the methods and tools established the most appropriate to ensure the completeness of the data collection? Participants will follow a combined intervention consisting of: 1. pre-discharge educational meeting; 2. telephone nurse-led coaching sessions; 3. home telemonitoring of vital signs. In the main trial, researchers will compare data from the intervention group with a control group to assess whether it reduces hospitalization rates and improves self-care capabilities
This study will investigate whether home dialysis uptake varies by the season of year. We will also investigate whether hospitalizations around the time of dialysis also vary by season of year and whether hospitalizations are associated with reduced home dialysis starts and sustained home dialysis uptake.
This study will focus to determine the usefulness of continuous monitoring and the role it would play in improving inpatient management. The study is also conducted to collect patient's experiences regarding use of the wearable device for health monitoring. There will be no control or comparison group for this prospective cohort study. For each participant, the investigators will provide summary of their data to nurses and physicians who are directly involved in the patients' care. At the end of the study for each participant, the investigators will ask questions related to how useful they found the data. As a secondary endpoint for this study, the study team will also be evaluating the accuracy of the heart rate, sleep and activity data gathered from the wearable against the current gold standard used in hospitals (ie. information gathered by nurses or using sleep assessment patient questionnaires). The investigators predict that wearable devices will be well received among participants and that they can provide accurate information about patients on GIM.
Emerging evidence suggests that sleep-related disturbances such as sleep-disordered breathing (e.g. sleep apnea), sleep fragmentation, abnormal sleep architecture, and periodic limb movements (PLMs) are closely linked with adverse health outcomes such as cardiovascular events, hospital admissions and mortality. However, data supporting some of these associations is inconclusive. The Sunnybrook Health Sciences Centre sleep clinic has collected a detailed set of physiological variables from adults who underwent daytime and overnight sleep studies at the Sunnybrook Health Sciences Centre Sleep Laboratory from 2004 till present. Data exists on more than 5,000 subjects with various disturbances of sleep. The investigators plan to link the Sunnybrook Sleep Laboratory data with various health administrative databases based at the Institute for Clinical Evaluative Sciences (ICES). The primary objective of this study is to determine whether the presence of various findings on polysomnography (e.g. obstructive sleep apnea, sleep structure / fragmentation, physiological characteristics such as arousals and periodic limb movements in sleep) are associated with different adverse health outcomes such as cardiovascular events, cancer, depression, hospital admissions, emergency department visits and mortality.