Evaluating the CARE4Carer Blended Care Intervention for Partners of Patients With Acquired Brain Injury: Protocol for a Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Support programs for partners of patients with acquired brain injury are necessary since these partners experience several unfavorable consequences of caregiving, such as a high burden, emotional distress, and poor quality of life. Evidence-based support strategies that can be included in these support programs are psychoeducation, skill building, problem solving, and improving feelings of mastery. A promising approach would seem to be to combine web-based support with face-to-face consultations, creating a blended care intervention. OBJECTIVE: This paper outlines the protocol of a randomized controlled trial to evaluate the CARE4Carer blended care intervention for partners of patients with acquired brain injury. METHODS: A multicenter two-arm randomized controlled trial will be conducted. A total of 120 partners of patients with acquired brain injury will be recruited from five rehabilitation centers in the Netherlands. The blended care intervention consists of a nine-session web-based support program and two face-to-face consultations with a social worker. Themes that will be addressed are: giving partners insight into their own situation, including possible pitfalls and strengths, learning how to cope with the situation, getting a grip on thoughts and feelings, finding a better balance in the care for the patient with acquired brain injury, thinking about other possible care options, taking care of oneself, and communication. The intervention lasts 20 weeks and the control group will receive usual care. The outcome measures will be assessed at baseline and at 24- and 40-week follow-up. The primary outcome is caregiver mastery. Secondary outcome measures are strain, burden, family functioning, emotional functioning, coping, quality of life, participation, and social network. RESULTS: The effect of the intervention on the primary and secondary outcome measures will be determined. Additional a process evaluation will be conducted. CONCLUSIONS: The findings of this study will be used to improve the care for partners of patients with acquired brain injury. Barriers and facilitators that emerge from the process evaluation will be used in the nationwide implementation of the intervention. TRIAL REGISTRATION: Dutch Trial Register NTR6197; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=6197 (Archived by WebCite at http://www.webcitation.org/6xHBAxx0y).
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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 | 0.040 | 0.035 |
| Meta-epidemiology (narrow) | 0.009 | 0.004 |
| Meta-epidemiology (broad) | 0.018 | 0.009 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.062 | 0.010 |
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".