The nature of expectations of bariatric surgery in patients during the pre‐ and post‐operative period: A unicentric, qualitative study of patient perspectives
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Many patients (20%-30%) experience suboptimal weight loss (WL) after bariatric surgery (BS), and unrealistic preoperative WL expectations may be a contributing factor. This study aimed to describe the nature of patients' general expectations of BS during the pre-surgical period, and how patients determined whether their expectations and WL goals (WLGs) were realistic. The extent to which patients' expectations and WLGs were met and/or changed during the post-surgical period was also assessed. Semi-structured interviews were conducted with 15 preoperative patients recruited approximately 6-months before surgery. Focus groups were also conducted with 14 post-operative patients recruited approximately 6-months after surgery. Interviews and focus groups were audio-recorded, transcribed verbatim and analysed using qualitative content analysis. Preoperative patients reported expectations that BS would positively impact physical and psychological health, social relationships, as well as quality of care. Preoperative patients perceived that they and their health care professionals had unrealistically high expectations of WL. Post-operative patients reported being generally satisfied with the outcomes of surgery, even though many did not reach their expected WL. Finally, most post-operative patients reported changing their expectations from pre- to post-surgery. This study provides data that may help inform the development of preoperative interventions focusing on helping patients set realistic expectations for WL and related outcomes, which could better prepare patients for the challenges they will face after surgery.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it