A resource for the prevention and management of incontinence-associated dermatitis
Bibliographic record
Abstract
Background: Incontinence-associated dermatitis (IAD) is skin damage that occurs from repeated exposure to urine and/or feces. Research has shown that this condition can have significant implications for clients and the healthcare system (Beeckman, 2016). Informal discussions with a wound care consultant identified that the Central Health Authority in Newfoundland and Labrador does not have a dedicated educational resource for nursing staff related to the prevention and management of IAD. Purpose: To develop a resource for all nursing staff to help with the prevention and management of IAD across all settings of Central Health. Methods: A literature review was conducted to: determine if evidence existed to support the need for an IAD resource to inform nursing staff; determine the level of knowledge nurses have related to IAD; identify content for the resource, such as risk factors, IAD implications and best practice guidelines around IAD; and examine effective methods for knowledge mobilization to nursing staff. An environmental scan was conducted to identify existing educational resources related to IAD across the country. Finally, consultations included surveying nursing staff who provide direct client care in the long-term care and acute care settings and interviewing wound care consultants within Central Health. Results: The evidence supported the need for an educational resource related to IAD knowledge for nursing staff. Findings from the environmental scan and consultations informed the content and method of delivery of the IAD resource developed for the project. A comprehensive toolkit was developed to assist in meeting the identified educational needs of nursing staff when caring for clients who are at risk for or have developed IAD. Conclusion: The creation of the toolkit is expected to enhance the knowledge of nursing staff regarding IAD. With the eventual implementation of the toolkit, it is expected that there will be improved care client outcomes related to IAD.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.006 |
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".