Acceptability and Feasibility of the Telehealth Bariatric Behavioural Intervention to Increase Physical Activity before Bariatric Surgery: A Single-Case Experimental Study (Part I)
Bibliographic record
Abstract
Physical activity can play an important role in optimizing metabolic and bariatric surgery (MBS) outcomes.However, patient mobilization is difficult, and development of theorydriven counseling interventions are needed.This study aimed to: 1) assess the feasibility and acceptability of the TELEhealth BARIatric behavioural intervention (TELE-BariACTIV) trial protocol/methods and intervention, which was designed to increase moderate-to-vigorous intensity physical activity (MVPA) in adults awaiting MBS; and 2) estimate the effect of the intervention on MVPA.This multicenter trial used a repeated single-case experimental design.Twelve insufficiently active adults awaiting MBS received 6 weekly 45-minute PA counselling sessions via videoconferencing.Feasibility and acceptability data (i.e., refusal, recruitment, retention, attendance, and attrition rates) were tracked and collected via online surveys, and interviews.MVPA was assessed via accelerometry pre, during and post-intervention.Among the 24 patients referred to the research team; five declined to participate (refusal rate=20.8%)and seven were ineligible or unreachable.The recruitment rate was 1.2 participants per month between 2021-09 and 2022-07.One participant withdrew during the baseline phase, and 1 after the intervention (retention rate=83.3%).No participant dropouts occurred during the intervention and 98.6% of sessions were completed.Participants anticipated and retrospective acceptability of the intervention was 3.2/4 (IQR: 0.5) and 3.0/4 (IQR: 0.2), respectively.There was a statistically significant increase in MVPA [Tau-U=0.32(0.11;0.51)] from pre-to postintervention.Despite a low recruitment rate, which could be explained by circumstances (COVID-19 pandemic), results support feasibility, acceptability, and preliminary efficacy of the TELE-Bari-ACTIVE intervention for increasing MVPA in patients awaiting MBS.
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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 | 0.022 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".