Original article Preoperative predictors of adherence to multidisciplinary follow-up care postbariatric surgery
Bibliographic record
Abstract
Background: Long-term multidisciplinary care after bariatric surgery is important for weight maintenance and management of co-morbidities. Despite this, the rate of attendance to follow-up appointments is universally low. Objective: To identify patient factors that contribute to adherence to follow-up care after bariatric surgery. Setting: Three university-affiliated hospitals in Canada Methods: A cohort study of 388 patients who underwent bariatric surgery from January 2011 to December 2011 was performed. This program mandates multidisciplinary follow-up care at 3, 6, and 12 months, and annually thereafter. Patients’ socioeconomic, psychosocial, and medical and psychiatric co-morbidities were recorded prospectively. Adherence to follow-up care was defined as having attended the majority of clinic visits (3 or 4 out of 4); all other patients were considered nonadherent. Results: The mean age of patients was 45.0 years, 81.2% were female, and the majority underwent a gastric bypass (91.8%) versus a sleeve gastrectomy (8.2%); 62.1% of patients were adherent to follow-up appointments. Patients older than 25 years had a higher adherence rate than those who were younger (63.2% versus 37.5%, P ¼ .040). Patients with full-time or part-time employment had a significantly higher adherence rate than those who were unemployed or retired (65.6% versus 50.0%, P ¼ .017, odds ratio 1.9). Patients with obstructive sleep apnea (OSA) before surgery had higher follow-up adherence than those without OSA (62.2% versus 37.8%, P ¼ .044). In multivariate analysis, employment remained an independent predictor of follow-up adherence (P ¼ .017). Conclusion: Employment was the strongest predictor of attendance to follow-up clinic. Patients with OSA and older patients were also more likely to return consistently for scheduled follow-up. (Surg Obes Relat Dis 2016;12:350–356.) r 2016 American Society for Metabolic and Bariatric Surgery. 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 | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".