Study protocol: pragmatic randomized control trial of an internet-based intervention (My tools 4 care) for family carers
Bibliographic record
Abstract
BACKGROUND: Family carers of older persons with Alzheimer's' disease and related dementia (ADRD) and multiple chronic conditions (MCC) experience significant, complex, and distressing transitions such as changes to their environment, roles and relationships, physical health, and mental health. An online intervention (My Tools 4 Care) was developed for family carers of persons with ADRD and MCC living at home, with the aim of supporting these carers through transitions and increasing their self-efficacy, hope, and health related quality of life (HRQoL). This study will evaluate My Tools 4 Care (MT4C) by asking the following research questions: 1. Does use of MT4C result in a 3 month (immediately post intervention) and 6-month (3 months after intervention) increase in HRQoL, self-efficacy, and hope, in carers of persons with ADRD and MCC compared to an educational control group? 2. Does use of MT4C help carers of community-dwelling older adults with ADRD and MCC deal with significant changes they experience as carers? and 3. Are the effects/benefits of the MT4C intervention achieved at no additional cost compared to an educational control group? METHODS/DESIGN: Using a pragmatic mixed methods randomized controlled trial design, 180 family carers of community dwelling older persons (65 years of age and older) with ADRD and MCC will participate in the study. Data will be collected from the intervention and an educational control group at four time points: baseline, 1 month, 3 and 6 months. We expect to find that family carers using MT4C will show greater improvement in hope, self-efficacy and HRQoL, at no additional cost from a societal perspective, compared to those in the educational control group. General estimating equations will be used to determine differences between groups and over time. DISCUSSION: Data collection began in Ontario and Alberta Canada in June 2015 and is expected to be completed in June 2017. The results will inform policy and practice as MT4C can be easily revised for local contexts and is scalable in terms of posting on websites such as those hosted by the Alzheimer Society. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02428387.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".