ArticleContemporary clinical trials2021
Bilingual problem-solving training for caregivers of adults with dementia: A randomized, factorial-design protocol for the CaDeS trial.
Article in Contemporary clinical trials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Problem-solving training to improve caregiver burden and depressive symptoms among dementia caregivers: personal and clinical factors of responders vs. non-responders.Frontiers in public health · 2025Trial
- Designing Electronic Problem-Solving Training for Individuals With Traumatic Brain Injury: Mixed Methods, Community-Based, Participatory Research Case Study.Journal of medical Internet research · 2026Article
- Changing the Perceived Pain Intensity in Populations With Spinal Cord Injury and With Health Disparities (HAPPINESS): Protocol for a Feasibility Study.JMIR research protocols · 2025Article
- Three versus six sessions of problem-solving training with or without boosters for care partners of adults with dementia (CaDeS): a randomised controlled optimization trial.Lancet regional health. Americas · 2025Article
- Health equity considerations in pragmatic trials in Alzheimer's and dementia disease: Results from a methodological review.Alzheimer's & dementia (Amsterdam, Netherlands)Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveCaregivers of individuals with Alzheimer's disease and related dementias (ADRD) often experience debilitating caregiver burden and emotional distress. To address these negative emotional consequences of caregiving, we will test and refine a strategy training intervention - Problem-Solving Training (PST) - that promotes self-efficacy and reduces caregiver burden and depressive symptoms. Previous research supports efficacy of PST; however, we do not know exactly how many PST sessions are needed or if post-training "boosters" are required to maintain PST benefits. Additionally, we translated and culturally-adapted PST into "Descubriendo Soluciones Juntos" (DSJ), our novel intervention for Spanish-speaking caregivers.
methodIn this 2 × 2 factorial design randomized controlled trial, we will test remotely-delivered PST/DSJ sessions for both English- and Spanish-speaking caregivers of persons with ADRD to determine the optimal number of PST/DSJ sessions and ongoing "booster" sessions needed to best help caregivers navigate their current and future needs.
aims1) Compare the efficacy of three vs. six PST/DSJ sessions each with and without booster sessions for decreasing caregiver burden and depression and enhancing caregiver problem-solving; 2) Identify key factors associated with efficacy of PST/DSJ, including age, gender, primary language, relationship to care recipient, and uptake of the PST/DSJ strategy.
resultsThese results will establish guidelines needed for an evidence-based, culturally-adapted, and implementable problem-solving intervention to reduce caregiver stress and burden and improve caregiver health and well-being.
conclusionThis work promotes inclusion of diverse and underserved populations and advances therapeutic behavioral interventions that improve the lives of caregivers of individuals with chronic conditions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.