HOME HEALTH AIDES’ ROLE IN PRESSURE ULCER PREVENTION AMONG THE ELDERLY AT HOME: A SCOPING REVIEW
Bibliographic record
Abstract
The purpose of this scoping literature review was to explore current knowledge about the role of home health aides (HHAs) in pressure ulcer prevention among the elderly receiving homecare. HHAs are unregulated care providers that constitute 70% of the home care work force in Canada. They are part of the patient’s circle of care but not members of the interdisciplinary pressure ulcer prevention team. The literature review was used to identify sources of evidence, map key concepts, and determine research gaps. Key search terms “homecare services”, “pressure ulcers”, “home health aides”, and “aged” were used to search 11 databases. Eight sources were retrieved: one textbook chapter and seven peer-reviewed journal articles. All documents were charted and analyzed using a descriptive summary and qualitative content analysis. The results suggest that HHAs’ role in pressure ulcer prevention at home is unclear. Five themes emerged from literature: need for training and education, nurse as an educator, interdisciplinary care approach, relationship between HHAs patient and family, and beliefs of HHAs about their role. Potential for enhancing HHA roles were identified in: observing patient’s health condition; coaching patients and family on positioning, ambulation, and nutrition; assisting health care providers; and reporting to the interdisciplinary team, patients and caregivers. In conclusion, the HHAs could play more important role in pressure ulcer prevention in homecare. Further research is recommended to create interventions with increased engagement of HHAs and explore their efficacy.
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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 | 0.010 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.012 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".