Delivering a Group-Based Quality of Life Intervention to Young Adult Cancer Survivors via a Web Platform: Feasibility Trial
Bibliographic record
Abstract
BACKGROUND: Young adult (YA) cancer survivors aged 18-39 frequently report unmet health information and peer support needs, as well as poor health-related quality of life (HRQOL). Our team has developed a supportive care intervention, titled TOGETHER-YA, to improve YA cancer survivors' stress management skills. TOGETHER-YA is delivered via videoconference and has shown initial feasibility, acceptability, and promise for improving HRQOL among YA survivors. OBJECTIVE: The purpose of this two-part study was to design and test a website to host the TOGETHER-YA intervention for YA cancer survivors aged 18-39. TOGETHER-YA is a 10-week, group-based program designed to promote health-related quality of life. METHODS: In Part 1, we leveraged an existing online platform and adapted it to meet the needs of TOGETHER-YA. We conducted three iterative waves of usability testing with three YAs per wave to refine the website. In Part 2, we conducted a single-group feasibility trial of TOGETHER-YA using the website. Primary outcomes were feasibility (i.e., recruitment, retention, attendance) and acceptability (i.e., satisfaction). RESULTS: Usability testing participants (N=9) indicated that the TOGETHER-YA website was easy to use (M=5.9, SD=1.3) and easy to learn (M=6.5, SD=0.9) (possible ranges: 1-7). Qualitative feedback identified needed revisions to the aesthetics (e.g., images), content (e.g., session titles), function (e.g., clarity of functionality), and structure (e.g., expandable sections), which were implemented. In the feasibility trial, participants (N=7) were an average of 25 years old (SD=4.7) and mostly non-Hispanic White (57%). Recruitment (70%) and retention (71%) rates and average session attendance (M=7.1, SD=4.2) supported feasibility. Participant agreement with positive statements about TOGETHER-YA and average satisfaction ratings (M=5.06, SD=1.64; possible range: 1-7) demonstrated acceptability. CONCLUSIONS: Results supported the usability, feasibility, and acceptability of the TOGETHER-YA program and website. By hosting the content online, the program effectively addresses YAs' expressed preference for convenience. Future studies are needed to increase TOGETHER-YA's efficiency and explore its efficacy for improving targeted outcomes. CLINICALTRIAL: NCT05597228, October 24, 2022.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".