To Resist or Not to Resist? That is the Dangerous Situation: A Look at Antimicrobial Stewardship in Pediatric Care in North America
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article will explore the impact of antibiotic resistance on pediatric care in North America, specifically focusing on how it negatively affects patient health outcomes. The mitigation of this issue in everyday health practice will be outlined. Antibiotics are one of the most commonly prescribed medications in children, with a significant number of them being used inappropriately. Considering the growing global threat of antibiotic resistant superbugs, it is vital to develop strategies and programs for decreasing antibiotic misuse and combating antibiotic resistance. Antimicrobial stewardship is one such method of reducing antibiotic resistance and has already shown evidence of improving patient outcomes, such as decreasing risk of future invasive infections, decreasing hospitalization and decreasing mortality. With more awareness to this dangerous issue, we are beginning to see the development and implementation of a variety of practices aimed at using antibiotics judiciously in pediatric patients across North America. This article will address the severity of the issue of antibiotic resistance in pediatric care in North America and highlight how this can be managed using antimicrobial stewardship principles that are practical, evidence-based and easily implementable in healthcare practices. Although there is still much work to be done, small improvements in resistance rates show that we are moving in the right direction.
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.
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 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it