Education of Hospitalized Diabetic Patients: Analysis of Training Needs among Nurses in a Lebanese Hospital – A Secondary Publication
Bibliographic record
Abstract
The design of diabetes inpatient educational preparation should be based on the needs of the nurses involved in terms of skills in this area. The objective of this qualitative study is to identify the preparatory needs of nurses working in the medical and surgical units of a Lebanese hospital in terms of Survival Skills Education for Hospitalized Diabetic Patients (SSEHDP). Method: The focus group method is used for data collection using a semi-structured interview guide. The needs expressed by the thirty-two participating nurses were classified into categories of the competency framework for providing self-management education to diabetic patients proposed by the American Diabetes Association. Results: By focusing on the themes of an SSEHDP, a list of preparatory needs was drawn up. The needs identified and analyzed are then translated into general and specific learning objectives for educational preparation. Conclusion: The needs analysis is only the first step in a work that will ideally continue into the implementation and eventual evaluation of an educational program developed to help nurses acquire skills in the education of diabetic patients.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".