The Impact of Health Care Restructuring on Nosocomially Acquired Blood Stream Infections
Bibliographic record
Abstract
OBJECTIVE: To assess the impact of the health care restructuring, which occurred in Alberta in 1995, on the occurrence of nosocomial blood stream infection and risk factors for these infections at the University of Alberta Hospital. PATIENTS AND METHODS: Changes in patient population, hospital bed numbers, admissions and hospital days for 1993 and 1994 (1993/94) were compared with those for 1996 and 1997(1996/97). Central venous catheter (CVC) use in intensive care units (ICU), days of total parenteral nutrition (TPN) and hemodialysis were compared for the two time periods. Prospectively collected data obtained by monitoring blood culture results on nosocomial blood stream infections in 1993/94 were compared with those obtained in 1996/97. RESULTS: Hospital bed number fell by 10% between 1993/94 and 1996/97. Annual admissions fell by 19% and patient days by 17%. Some services markedly increased patient days (neurosurgery 49%, nephrology 30%, orthopedic surgery 24%), and others markedly reduced patient days (obstetrics and gynecology 99%, ophthalmology 100%, adult medicine 41%, general paediatrics 38%). ICU use of CVCs increased by 41%, TPN days increased by 25% and hemodialysis runs increased by 9%. Annual nosocomial blood stream infections increased by 31% and the annual rate per 10,000 patient days increased by 60%. TPN-related blood stream infection rates and ICU CVC infection rates did not change from 1993/94 to 1996/97. CONCLUSIONS: Hospital restructuring has been associated with a 31% increase in nosocomial blood stream infection number and a 60% increase in rate. The increase has been associated with a change in patient populations and increases in risk factors for blood stream infection.
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.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".