Determinants of Hospital Length of Stay among Patients with Pneumonia Admitted to a Large Canadian Hospital from 1991 to 2001
Bibliographic record
Abstract
BACKGROUND: Pneumonia is a common reason for hospital admission, and the cost of treatment is primarily determined by length of stay (LOS). OBJECTIVES: To explore the changes to and determinants of hospital LOS for patients admitted for the treatment of community-acquired pneumonia over a decade of acute hospital downsizing. METHODS: Data were extracted from the database of Vancouver General Hospital, Vancouver, British Columbia, on patients admitted with community-acquired pneumonia (International Classification of Diseases, Ninth Revision, Clinical Modification codes 481.xx, 482.xx, 483.xx, 485.xx and 486.xx) from January 1, 1991 to March 31, 2001. The effects of sociodemographic factors, the specialty of the admitting physician (family practice versus specialist), admission from and/or discharge to a long-term care facility (nursing home) and year of admission, adjusted for comorbidity, illness severity measures and other potential confounders were examined. Longitudinal changes in these factors over the 10-year period were also investigated. RESULTS: The study population (n=2495) had a median age of 73 years, 53% were male and the median LOS was six days. Adjusted LOS was longer for women (10% increase, 95% CI 3 to 16), increasing age group (7% increase, 95% CI 4 to 10), admission under a family physician versus specialist (42% increase, 95% CI 32 to 52) and admission from home with subsequent discharge to a long-term care facility (75% increase, 95% CI 47 to 108). Adjusted hospital LOS decreased by an estimated 2% (95% CI 1 to 3) per annum. The mean age at admission and the proportion admitted from long-term care facilities both increased significantly over the decade (P<0.05). CONCLUSIONS: Results suggest that the management of hospitalized patients with pneumonia changed substantially between 1991 and 2001. The interface of long-term care facilities with acute care would be an important future area to explore potential efficiencies in caring for patients with pneumonia.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".