ClinicalTrials.gov
public full text
Public Domain
Tech-based Respite Care for Caregivers and Homebound Older Adults
The goal of this study is to examine the effectiveness of VR-based respite in improving cognitive function, mental health, and quality of life in caregivers and homebound older adults compared to a control group using videos and a usual care group. Participants are randomly assigned to one of three groups: VR intervention, video control, or usual care. The VR group receives immersive VR sessions using the SilVR Adventures platform. The video group receives non-immersive video sessions with similar content. The usual care group receives no additional intervention. Assessments are conducted at baseline, immediate post-intervention, and 3 months post-intervention to measure changes in depression, anxiety, loneliness, quality of life, and other outcomes. The intervention dosage will be 4 weeks (1 sessions/week; 30 min/session). Secondarily, the study explores differences in effectiveness between caregivers and homebound older adults, and potential moderators or mediators such as baseline health status, technological literacy, and social support.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- VR-based Mindfulness for Dementia Caregivers in the Home Environment (Mind-body Interventions)#1103990
- iCare4Me Transitions#1124791
- Dementia Symptom Management at Home Program#844342
- Frailty Improvement Through Technology With Informal Caregiver Supported Exercise (FITWISE) for Pre-frail and Frail Community-dwelling Older Adults#888750
- Home Based Care Transitions Tailored by Cognition and Patient Activation#842606
Record · ID 1032215
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive