Antibiotic use in long-term care facilities
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
OBJECTIVES: Evaluation and optimization of antibiotic use (antibiotic stewardship) is being increasingly promoted as a means to reduce antibiotic resistance, adverse events, treatment complications and costs within institutions. Our goal was to examine the prevalence of antibiotic use among long-term care facility residents and the extent of variability across these institutions. METHODS: We conducted a population-based, point-prevalence study of antibiotic use among elderly individuals (n = 37,371) residing in long-term care facilities (n = 363 institutions) in Ontario between April and June 2009, using linked healthcare databases from Canada's largest province. Facilities were grouped into quintiles according to their mean antibiotic dispensing rates and variation was compared across quintiles. RESULTS: There were 2190 (5.9%) long-term care residents receiving antibiotic prescriptions on the study date. The three most prevalent antibiotics were agents most commonly used for the treatment of urinary tract infections, including nitrofurantoin (365, 15.4%), trimethoprim/sulfamethoxazole (338, 14.3%) and ciprofloxacin (304, 12.8%). The majority of treatment courses were at least 10 days in duration (1482, 62.6%), and many exceeded 90 days (495, 20.9%), suggesting chronic prophylaxis. There was substantial variability in antibiotic use across facilities, with a 5-fold variation from the highest-use quintile (10.8%) to the lowest-use quintile (2.2%). This variation persisted after adjustment for multiple facility-level and resident-level factors, including demographic characteristics, healthcare utilization statistics, co-morbidity prevalence, functional status and device dependence. CONCLUSIONS: Antibiotic use is common among long-term care residents, variable across institutions, and may benefit from focused antimicrobial stewardship interventions to standardize treatment indications and duration.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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