Bibliographic record
Abstract
Since inflammatory bowel diseases (IBD) are chronic disorders with typical remission and relapses and no cure, maintaining high quality of provided healthcare to patients with IBD plays a major role in the management and reducing disease-related morbidity. To hone process-based quality indicators in order to ameliorate quality of care, the indicators must be based on high quality evidence and expert consensus. ImproveCareNow (ICN) group gave us a great example of quality improvement (QI) by gaining experience in how to exercise, apply and implement QI methods in the care of children with IBD. "The American Gastroenterological Association" has developed an adult "IBD physician performance measures set" and both "Crohn's and Colitis Foundation of America" (CCFA) and "Crohn's and Colitis Canada" (CCC) have developed sets of most highly rated process and outcome measures. "The Emerging Practice in IBD Collaborative (EPIC) Canadian group" developed definitions of quality indicators for best-practice management of IBD in Canada. "Quality of Care through the Patient's Eyes (QUOTE-IBD)" was honed as a questionnaire to quantify quality of care in the eyes of patients with IBD. This is now widely used in several European countries. The current concepts of quality of care as well as quality indicators will be discussed in this article.
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.
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 | 0.000 | 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 | 0.001 |
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 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".