View clinical trials related to Caregiver Stress Syndrome.
Filter by:The WeCareAdvisor is an online tool to help caregivers manage behavioral and psychological symptoms of people living with dementia. The trial will evaluate its efficacy to reduce caregiver distress, improve confidence managing behaviors, as well as reduce occurrences and severity of behavioral and psychological symptoms. Visit https://wecareadvisorstudy.com/ for more information.
Aims: The study will contribute to our understanding of how the cultivation of caregiver mindfulness might improve their overall relational well-being (Primary Outcome), their psychological well-being (Secondary Outcome), and have an impact on dementia patients' lifestyles (Other Outcome). Overall, this study will investigate the idea that the fruits of mindfulness training can be leveraged by both the caregiver and the care-recipient, improving the quality of relationship by making their interactions more mutual, connected, empathic and positive. This study aims to additionally elucidate which facets of mindfulness account for caregiver's happiness and psychological well-being. Sample: In this study 40 dementia caregivers will be recruited to participate; 20 will be allocated to the clinical intervention group (i.e., adapted MBSR for caregivers) and 20 to the active control group. Data will be collected pre-post the start of intervention, and at a 3 month follow up. Future orientation: This study may contribute to evidence-based knowledge concerning the efficacy of mindfulness based interventions to support caregiver empowerment, via regaining relationship satisfaction and achieving greater equanimity in the face of stressors.
This study will test a prototype pandemic caregiver training and education course designed for caregivers of persons living with dementia (PLWD). Participants will be randomized to take the course immediately or to take the course after completion of an 8-week waiting period.
The aim of the project is to test the efficacy of a systematic intervention for individual follow-up of caregivers at the intensive care unit during a 12 month randomized controlled trial.
The overall goal of this project is to develop and prototype-test a highly accessible program designed to enhance the mastery of Black American caregivers to provide care to family members or friends living with a dementia illness in a time of crisis. Participants will be asked a series of questions in a baseline interview, and then will be asked to partake in the CaRE course during a 6 to 8-week period.
The purpose of the READyR II Study is to test a dynamic tailoring phase of a remote assessment for changing dementia-related care needs.
The research study is being conducted to evaluate the efficacy of a virtual support intervention to reduce stress and poor self-care for caregivers of persons with behavioral variant Frontotemporal Degeneration (bvFTD) compared to receiving health information alone.
The purpose of the READyR study (originally called SHARE-sense) is to redevelop and test an intervention program to remotely assess for changing dementia-related care needs.
The purpose of this project is to develop a monitoring, modeling, and interactive recommendation solution (for caregivers) for in-home dementia patient care that focuses on caregiver-patient relationships. This includes monitoring for mood and stress and analyzing the significance of monitoring those attributes to dementia patient care and subsequent behavior dynamics between the patient and caregiver. In addition, novel and adaptive behavioral suggestions at the right moments aims at helping improve familial interactions related to caregiving, which over time should ameliorate the stressful effects of the patient's illness and reduce strain on caregivers. The technical solution consists of a core set of statistical learning based techniques for automated generation of specialized modules required by in-home dementia patient care. There are three main technical components in the solution. The first obtains textual content and prosody from voice and uses advanced machine learning techniques to create classification models. This approach not only monitors patients' behavior, but also caregivers', and infers the underlying dynamics of their interactions, such as changes in mood and stress. The second is the automated creation of classifiers and inference modules tailored to the particular patients and dementia conditions (such as different stages of dementia). The third is an adaptive recommendation system that closes the loop of an in-home behavior monitoring system.
Caregivers of people with stroke experience strain that can reduce their quality of life. Caregivers are routinely engaged during hospital discharge for education and training related to the person with stroke. However, the critical period after stroke survivor's discharge is largely unsupported for the caregiver. This proposed study is a randomized controlled trial that will provide post-discharge support for caregivers using a health coaching program as compared to usual care and examine its effect of caregivers and people with stroke.