Designing and Implementing a Home-Based Couple Management Guide for Couples Where One Partner has Dementia (DemPower): Protocol for a Nonrandomized Feasibility Trial
Bibliographic record
Abstract
BACKGROUND: The increasing rate of dementia and high health and social care costs call for effective measures to improve public health and enhance the wellbeing of people living with dementia and their relational networks. Most postdiagnostic services focus on the condition and the person with dementia with limited attention to the caring spouse or partner. The key focus of the study is to develop a guide for couples where one partner has a diagnosis of dementia. This couple management guide is delivered in the form of an app, DemPower. OBJECTIVE: This study aims to investigate the feasibility and acceptability of DemPower and to assess the criteria for a full-integrated clinical and economic randomized control trial. DemPower couple management app will be introduced to couples wherein one partner has dementia. METHODS: The study will recruit 25 couples in the United Kingdom and 25 couples in Sweden. Couples will be given 3 months to engage with the app, and the amount of time taken to complete the guide (can be <3 or >3 months) will be reviewed. A set of outcome measures will be obtained at baseline and postintervention stages. RESULTS: The proposed study is at the recruitment phase. The DemPower app is being introduced to couples from consultation groups at a pretrial phase for identifying any bugs and exploring if any navigation challenges exist. The feasibility testing will begin in April 2018. CONCLUSIONS: The study will determine how much support couples need to engage with DemPower and whether or not they make use of it in their everyday lives. If there is support for app use, a future study will assess whether it is superior to "usual care." TRIAL REGISTRATION: International Standard Randomized Controlled Trial Number (ISRCTN): 10122979; http://www.isrctn.com/ISRCTN10122979 (Archived by WebCite at http://www.webcitation.org/70rB1iWYI). REGISTERED REPORT IDENTIFIER: RR1-10.2196/9087.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.045 | 0.048 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.088 | 0.016 |
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 source (direct Gemma or distilled Codex), 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".