Bibliographic record
Abstract
Purpose: This study was conducted to explore the impact of nurse staffing level and oral care on pneumonia in elderly inpatients in long-term care hospitals (LTCHs). Methods: Data were obtained from the Health Insurance Review and Assessment Services (HIRA) including the profiles of LTCHs, monthly patient assessment reports and medical report survey data of pneumonia patients by HIRA in the fourth quarter of 2010. The sample consisted of 37 LTCHs and 6,593 patients. Results: Patient per nurse staff (OR=1.43, CI=1.22~1.68) and no oral care (OR=1.29, CI=1.01~1.64) were significantly related with hospital acquired pneumonia. The difference in percent of oral care by hospital was not significant between high and low group in nurse staffing level. Conclusion: In order to reduce the occurrence of pneumonia in eldery patients, effective nursing interventions are not only required but also nurse staffing levels that enable nurses to provide the intervention.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".