Adaptation of Coping Together - a self-directed coping skills intervention for patients and caregivers in an outpatient hematopoietic stem cell transplantation setting: a study protocol
Bibliographic record
Abstract
BACKGROUND: Despite numerous reports of significant distress and burden for hematopoietic stem cell transplantation (HSCT) patients and caregivers (CGs), HSCT-specific coping interventions remain rare. The few in use lack specificity and are often not easily accessible or cost-effective. Whereas the development of new interventions is resource-intensive, theory-informed adaptation of existing evidence-based interventions is promising. To date, no HSCT-specific intervention has relied on a formal adaptation approach. METHODS: Using the Center for Disease Control and Prevention's Map of Adaptation, this two-phase qualitative descriptive study seeks to understand the perceptions of HSCT patients, CGs, individually, and in dyads, and clinicians about Coping Together (CT) for the preliminary adaptation (Phase 1), and then explores perceptions of the modified intervention in additional mixed sample (Phase 2). Six to ten participants including outpatients, CGs and dyads and five to seven HSCT clinician participants will be recruited for Phase 1. For Phase 2, 14 to 16 participants including outpatients, CGs and dyads will be recruited. Individual and dyadic semi-structured interviews will take place between 100 and 130 days post-HSCT. Verbatim transcripts will be analyzed using content analysis. DISCUSSION: It is paramount to have HSCT-specific supportive interventions that address patients' and CGs' multidimensional and complex needs. The timely involvement of key stakeholders throughout the adaptation process is likely to optimize the relevance and uptake of such tailored intervention. TRIAL REGISTRATION: This study is registered on October 6, 2016 in ClinicalTrials.gov at (identifier number NCT02928185 ).
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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 | 0.020 | 0.012 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.030 | 0.004 |
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".