Examining markers of safety in homecare using the international classification for patient safety
Bibliographic record
Abstract
BACKGROUND: Homecare is a growth enterprise. The nature of the care provided in the home is growing in complexity. This growth has necessitated both examination and generation of evidence around patient safety in homecare. The purpose of this paper is to examine the findings of a recent scoping review of the homecare literature 2004-2011 using the World Health Organization International Classification for Patient Safety (ICPS), which was developed for use across all care settings, and discuss the utility of the ICPS in the home setting. The scoping review focused on Chronic Obstructive Pulmonary Disease (COPD), and Congestive Heart Failure (CHF); two chronic illnesses commonly managed at home and that represent frequent hospital readmissions. The scoping review identified seven safety markers for homecare: Medication mania; Home alone; A fixed agenda in a foreign language; Strangers in the home; The butcher, the baker, the candlestick maker; Out of pocket: the cost of caring at home; and My health for yours: declining caregiver health. METHODS: The safety markers from the scoping review were mapped to the 10 ICPS high-level classes that comprise 48 concepts and address the continuum of health care: Incident Type, Patient Outcomes, Patient Characteristics, Incident Characteristics, Contributing Factors/Hazards, Organizational Outcomes, Detection, Mitigating Factors, Ameliorating Actions, and Actions Taken to Reduce Risk. RESULTS: Safety markers identified in the scoping review of the homecare literature mapped to three of the ten ICPS classes: Incident Characteristics, Contributing Factors, and Patient Outcomes. CONCLUSION: The ICPS does have applicability to the homecare setting, however there were aspects of safety that were overlooked. A notable example is that the health of the caregiver is inextricably linked to the wellbeing of the patient within the homecare setting. The current concepts within the ICPS classes do not capture this, nor do they capture how care responsibilities are shared among patients, caregivers, and providers.
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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 | 0.038 | 0.148 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.006 |
| Bibliometrics | 0.033 | 0.035 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".