Primary and Specialty Care Trainees’ Perceptions About Proton Pump Inhibitor Use
Bibliographic record
Abstract
OBJECTIVE: Proton pump inhibitors (PPIs) are widely prescribed with proven efficacy in many indications, yet longstanding controversy about potential adverse events persists. We aimed to acquire knowledge about perceptions of outpatient PPI long-term prescribing (≥8 wk) among primary and specialty care trainees at 2 Canadian Universities. METHODS: Family medicine, internal medicine, and gastroenterology trainees completed a web-based survey that included 20 clinical scenarios assessing trainee knowledge about PPI efficacy. Contextual PPI prescribing decisions were also elicited, balancing possible PPI indications versus side effects. Management strategies were compared between junior and senior trainees, as well as across training programs. RESULTS: Over a 4-month period,163 trainees (age <26 y: 12%; age 26 to 45: 88%; 59% females) participated in the survey (family medicine: 51%, internal medicine: 44%, and gastroenterology: 5%); 83% were considered junior residents. Only 42% had received formal education on prescribing PPI long-term. Overall, 93% believed they would benefit from such teaching, with 98% stating they would follow related guidelines. No between-group differences were noted in knowledge of appropriate PPI indications nor possible side effects when comparing juniors to seniors, or among different specialties. Across different management scenarios, inappropriate PPI discontinuation was chosen by 14.3% to 67.2%, whereas inappropriate PPI continuation was reported in up to 57%. Trainee seniority and specialty did not differ in appropriate deprescribing rates. CONCLUSIONS: Training level and primary versus specialty care settings are associated with frequent inappropriate PPI prescribing and deprescribing. These findings highlight the need for and may inform future educational programs on PPI usage.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".