Surveys of parents and clinicians concerning the minimally important difference of probiotic therapy for prevention of paediatric antibiotic-associated diarrhoea
Bibliographic record
Abstract
OBJECTIVES: To establish the minimally important difference (MID) that would prompt parents and clinicians to use probiotics for prevention of paediatric antibiotic-associated diarrhoea (AAD) and to obtain parent and clinician opinion about the most important outcomes in clinical trials of AAD. METHODS: In this survey, parents of children presenting to the emergency department of a Canadian tertiary care children's hospital and paediatricians working in that hospital were approached. A range of potential MIDs were presented and participants selected one that they would require to use probiotics for AAD prevention. In addition, participants were asked to rate a list of outcomes they would consider to be important in clinical trials of AAD. RESULTS: In total, 127 parents and 45 paediatricians participated. About 51% (64/125) of parents and 51% (21/41) of clinicians responding to the MID question reported they would use probiotics if it reduced the risk of AAD by 39% (ie, reduce the risk of AAD from 19% to 12%). The most important outcomes to parents, in descending order, were need for hospitalisation, prevention of dehydration, disruption of normal daily activities, diarrhoea duration and physician revisit. Paediatricians considered need for hospitalisation along with physician revisit as the most important outcomes. They rated prevention of dehydration, diarrhoea duration and stool frequency as important outcomes as well. CONCLUSION: There is good agreement between parents and clinicians regarding how effective probiotics would need to be in preventing AAD in order to warrant use. This information, along with outcomes perceived to be most important, will help in the design of future clinical trials.
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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 | 0.026 | 0.098 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".