Patterns of Utilization of Complementary and Alternative Medicine in 2 Pediatric Gastroenterology Clinics
Bibliographic record
Abstract
OBJECTIVES: The aim of the present study was to assess the prevalence and patterns of complementary and alternative medicine (CAM) use among pediatric patients with gastrointestinal (GI) disorders at academic clinics in Canada. METHODS: The survey was carried out at 2 hospital-based gastroenterology clinics: the Stollery Children's Hospital in Edmonton and the Children's Hospital of Eastern Ontario (CHEO) in Ottawa. RESULTS: CAM use at the Stollery was 83% compared with 36% at CHEO (P < 0.001). The most common reason for not using CAM was lack of knowledge about it. Most respondents felt comfortable discussing CAM in their clinic and wanted more information on CAM. The most common CAM products being taken were multivitamins (91%), calcium (35%), vitamin C (32%), probiotics (14%), and fish oil/omega-3 fatty acids (13%). The most common CAM practices being used were massage (43%), chiropractic (27%), faith healing (25%), and relaxation (18%). Most respondents believed that CAM was helpful, and most of the 23 reported adverse effects were minor. Seven were reported as moderate, and 3 were reported as severe. Many (42%) patients used CAM at the same time as prescription medicines, and of these patients, concurrent use was discussed with their physician (76%) or pharmacist (52%). CONCLUSIONS: CAM use is high among pediatric patients with GI disorders and is much greater among those in Edmonton than in Ottawa. Most respondents reported their CAM use as helpful, with little or no associated harm. Many patients fail to disclose their concurrent use of CAM and conventional medicines to their doctors, increasing the likelihood of interactions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".