Supporting Family Caregivers of Persons With Dementia
Abstract
Based on preliminary work, whereby investigators examined pain management challenges and needs of caregivers of hospice patients with dementia, this team designed a cognitive behavioral intervention informed by the relational model of stress, entitled ENCODE (Empowering Caregivers of Patients with Dementia) to assist caregivers in effectively identifying and communicating their pain management challenges and needs. The investigators propose a 5-year randomized clinical trial in which caregivers of patients with Alzheimer's Disease and Related Dementias (ADRD) will be randomly assigned to a group receiving standard hospice care with the addition of "friendly video-calls" providing social support (attention control group) or a group receiving standard hospice care with the addition of the ENCODE intervention (intervention group).
Conditions: Caregiver Stress Syndrome, Anxiety, Depression.
Primary outcome: Change in Caregiver Quality of Life-Index (CQLI-R) scores.
Enrollment: 452 participants.
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 452 participants or records.
Read the paper
Related studies
- Regulation of nucleolus assembly by non-coding RNA polymerase II transcripts
- For a Healthy Histone Code, a Little SUMO in the Tail Keeps the Acetyl Away
- Discovering a binary CTCF code with a little help from BORIS
- Article Commentary: Stabilizing the Code–-Methods to Preserve RNA Prove Their Worth
- Foreword to the Special Issue for the RINTC (The Implicit Seismic Risk of Code-Conforming Structures) Project
- Commentary: Promoting Health and Well-being in Pediatric Primary Care Settings: Using Health and Behavior Codes at Routine Well-child Visits
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.