The effect of maternity nursing logbook on internship students' skills at woman's health hospital, Assiut Governorate
Bibliographic record
Abstract
Background and objective: Practical skills in Maternity Nursing are complex actions containing movement abilities, caring intentions, theoretical and practical skills, ethical and moral deliberation. This study aimed to assess the effect of Maternity Nursing logbook on cognitive and practical skills of internship students.Methods: Quasi-experimental research was carried out in this study. 112 internship students of Faculty of Nursing, Assiut University who were enrolled for Maternity training course around one year by using logbook. Setting: The study was done at the Woman's Health Hospital, Assiut University from beginning of September 2015 to the end August 2016 (internship Training year).Results: The total score of internship nursing student's cognitive and practical skills revealed that the vast majority of them (98%) had satisfactory knowledge and practical skills in post training with significant difference between pre and post training of the internship nursing students.Conclusions: The using of logbook was associated with increased clinical, cognitive with highly significant difference between pre and post training of the internship nursing students. Recommendations: Implementation of logbook in undergraduate and postgraduate clinical education for all clinical courses.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".