Moving to Evidence-Based Practice in Long-Term Care: The Role of a Best Practise Resource Centre in Two Long-Term Care Settings
Bibliographic record
Abstract
In this article, the authors provide an overview on the development of a Long-Term Care Best Practise Resource Centre. The results of both a feasibility study and the outcomes of a 1-year demonstration project are presented. The demonstration project involved a hospital as the information service provider and two demonstration sites, a home care service agency and a nursing home that used the services of the Centre. The goals of the Centre were threefold: provide access to literature for staff in long-term care (LTC) settings; improve the information management skills of health care providers; and support research and the integration of best practices in LTC organizations. The results of the pilot study contributed to the development of a collaborative information access system for LTC clinicians and managers that provides timely, up-to-date information contributing to improving the quality of care for adults receiving LTC. Based on this demonstration project, strategies for successful innovation in LTC are identified.
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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 | 0.137 | 0.134 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.006 | 0.022 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".