Implementation and Evaluation of Management Guidelines for Atopic Eczema for Primary Health Care Nurses: A Pilot Study
Bibliographic record
Abstract
The primary health care (PHC) management guidelines for nurses treating children with atopic eczema were developed in a baseline study. The purpose of this study was to implement and evaluate the guidelines through a pilot study in a district in Gauteng, South Africa, in order to identify challenges and to adopt or adjust the guidelines for use by primary health care nurses in South Africa. The ultimate aim is to improve the child’s eczema and quality of life. A process evaluation research design was followed. Data was collected through 1) in-depth interviews with PHC nurses and also with the parents of children treated by these PHC nurses, and 2) documentation using the patient files of these children. The results showed that some aspects of the guidelines were used and seen as helpful, especially the complete emollient therapy and the evidence based health education. A simplified version of the guideline will be promoted for use by PHC nurses. The more detailed guideline could possibly be used as a basis to develop a short course on atopic eczema for PHC nurses.
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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 | 0.042 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".