Care Outcomes in Long-Term Care Facilities in British Columbia, Canada
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: This study investigated whether for-profit (FP) versus not-for-profit (NP) ownership of long-term care facilities resulted in a difference in hospital admission and mortality rates among facility residents in British Columbia, Canada. RESEARCH DESIGN: This retrospective cohort study used administrative data on all residents of British Columbia long-term care facilities between April 1, 1996, and August 1, 1999 (n = 43,065). Hospitalizations were examined for 6 diagnoses (falls, pneumonia, anemia, dehydration, urinary tract infection, and decubitus ulcers and/or gangrene), which are considered to be reflective of facility quality of care. In addition to FP versus NP status, facilities were divided into ownership subgroups to investigate outcomes by differences in governance and operational structures. RESULTS: We found that, overall, FP facilities demonstrated higher adjusted hospitalization rates for pneumonia, anemia, and dehydration and no difference for falls, urinary tract infections, or DCU/gangrene. FP facilities demonstrated higher adjusted hospitalization rates compared with NP facilities attached to a hospital, amalgamated to a regional health authority, or that were multisite. This effect was not present when comparing FP facilities to NP single-site facilities. There was no difference in mortality rates in FP versus NP facilities. CONCLUSIONS: The higher adjusted hospitalization rates in FP versus NP facilities is consistent with previous research from U.S. authors. However, the superior performance by the NP sector is driven by NP-owned facilities connected to a hospital or health authority, or that had more than one site of operation.
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) | 0.001 | 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 | 0.001 |
| 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 it