Candida auris: What literature exists to inform control of outbreaks in healthcare settings?
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
Background: Candida auris (C. auris) has been identified as an emerging pathogen of interest in healthcare settings. Its resistance to antimicrobials, high mortality rates, ability to persist in the environment and increasing instances of outbreaks in healthcare settings constitute major concerns among healthcare practitioners across the globe. To address concerns regarding preventing transmission of C. auris, the Public Health Agency of Canada (PHAC) conducted a literature review to inform guidance for the infection prevention and control of C. auris in hospitals and long-term care facilities (LTC). Methods: Electronic databases were searched to identify peer-reviewed evidence published between database inception until September 7, 2023. Peer-reviewed primary evidence and literature reviews, in English or French, reporting on infection prevention and control (IPC) practices put into place to prevent transmission of C. auris in healthcare settings were eligible for inclusion. Title and abstract screening, full-text review, critical appraisal, and data extraction processes were performed by two reviewers using DistillerSR systematic review software and the PHAC Infection Prevention and Control Critical Appraisal Toolkit. A scan of grey literature was also conducted to inform the review. Results: Thirty-two articles of medium- to high-quality detailing C. auris IPC were included in the review. Settings reporting no transmission beyond the index case were more likely to report the use of risk-factor-based screening, private accommodation with dedicated toileting facilities, the use of personal protective equipment (PPE) consisting of gown and gloves at all times and the application of no-touch cleaners and disinfectants. Conclusion: Multiple IPC interventions appear to be effective at minimizing transmission. However, determining effectiveness is challenging due to variability in intervention reporting and due to the lack of understanding of C. auris burdens before and after their implementation. Increased vigilance with screening and reporting would be advisable, and future work would benefit from multi-centre comparison of interventions using prevalence data.
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 | 0.001 | 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 | 0.001 |
| 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