The nature of safety problems among Canadian homecare clients: evidence from the RAI-HC<sup>©</sup>reporting system
Bibliographic record
Abstract
AIM(S): The purpose of this study was to identify the nature of patient safety problems among Canadian homecare (HC) clients, using data collected through the RAI-HC((c)) assessment instrument. BACKGROUND: Problems of patient safety have been well documented in hospitals. However, we have very limited data about patient safety problems among HC clients. METHOD(S): The study methodology involved a secondary analysis of data collected through the Canadian home care reporting system. The study sample consisted of all HC clients who qualified to receive a RAI-HC assessment from Ontario, Nova Scotia and Winnipeg Regional Health Authority for the 2003-2007 reporting period. There were a total of 238 958 cases available for analysis; 205 953 from Ontario, 26 751 from Nova Scotia and 6254 from Winnipeg Regional Health Authority. RESULTS: New fall (11%), unintended weight loss (9%), new emergency room (ER) visits (7%) and new hospital visits (8%) were the most prevalent potential adverse events identified in our study. A small proportion of the HC clients experienced a new urinary tract infection (2%). CONCLUSION(S): Understanding clients' risk profiles is foundational to effective patient care management. IMPLICATIONS FOR NURSING MANAGEMENT: We need to begin to develop evidence about best practices for ameliorating safety risk.
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How this classification was reachedexpand
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".