Coconstruction of adjunct behavioral interventions to bariatric surgery: The INTER-Change program.
Bibliographic record
Abstract
OBJECTIVE: The INTER-Change program aims to use systematic frameworks to develop adjunct behavioral interventions to enhance long-term behavior change and improve outcomes in patients undergoing bariatric surgery (BS). This paper details the program strategies and how engagement of interested parties is shaping the research. METHOD: The core elements of this work include: (a) A living systematic review of behavioral weight management (BWM) interventions adjunct to BS; (b) Focus groups of interested parties, including patients, healthcare professionals, and administrators, on different aspects of designing and implementing adjunct behavioral interventions; (c) A patient-generated survey to assess needs for behavioral interventions to support BWM; (d) An international eDelphi study involving interested parties to prioritize intervention components and delivery structures; and (e) An international consensus meeting to construct testing intervention protocol(s). RESULTS: The systematic review revealed that delivering BWM interventions during the postoperative period resulted in better weight maintenance; however, most interventions reviewed were poorly developed, and none included interested parties. Initial themes from ongoing focus groups highlighted nonweight-related outcomes as being key goals of adjunct behavior change interventions, with a strong emphasis on psychological well-being and health-related behaviors. The patient survey will add patients' feedback on current interventions and expectations. Finally, the eDelphi process and international consensus meeting will integrate all the findings to develop more efficient behavioral interventions and appropriate testing protocol(s). CONCLUSIONS: This integrated knowledge translation approach will help ensure that the behavioral adjunct interventions are relevant to interested parties' needs, well-designed, effective, and more likely to be implemented successfully. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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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 | 0.034 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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".