Initial participant perspectives about participating in an online, semi‐supervised, cirrhosis‐specific nutrition and exercise intervention
Bibliographic record
Abstract
OBJECTIVES: In chronic diseases, there have been issues with low levels of participant adherence and retention during well-supported lifestyle behaviour change interventional studies. Theoretically informed, the objective was to explore the types of challenges participants are experiencing to inform future designs. DESIGN: We conducted an exploratory descriptive study in an adult cirrhosis population after the first 4-6 weeks of a 12-week semi-supervised nutrition and exercise online program. METHODS: Participants in the parent feasibility study, assessing the nutrition and exercise intervention (Heal-Me), were eligible for this nested study. Heal-Me is a multimodal program that is tailorable to a participant's abilities through regular interaction with the study's registered dietician and exercise specialist. Interviews (~60 min) with participants were recorded then analysed descriptively, guided by the capability, opportunity and motivational behaviour change model. RESULTS: The 20 participants preferred the expert-led group online nutrition and exercise classes over independent activities such as protein tracking and the exercise videos. Social gamification (e.g., weekly polls on favourite things like movies or sports teams) contributed to the group experience. All except one person required program tailoring to address preferences, abilities and new onset health events. Findings led to the inclusion of 4 behaviour change techniques to the initial 17, whereas 2 others were expanded. CONCLUSIONS: While program tailoring, awareness of cirrhosis nutrition and regular interactions with staff influenced participant retention and adherence in the first 4-6 weeks of the online program.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".