Самооценката на студентите и практикуващите медицински сестри относно теоретичната им подготовка за получаване на информирано съгласие от пациентите
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction: Along with the growing role of nurses, a number of challenges and unresolved issues have been determined in nursing practice, including informing and obtaining patient consent. Training nurses on the issue of informed consent is one of the ways to overcome them. Aim: The aim of this article is to examine the self-assessment of students and nursing practitioners regarding their theoretical training to obtain informed consent from patients. Materials and Methods: Attached is the analysis of literature, documentary and questionnaire method. This paper examines the opinion of 290 students, graduate nurses trained in MU - Varna and MU - Pleven, 320 nurses working in the hospitals for active treatment in Varna, Dobrich, Ruse, Silistra and Shumen. The survey including graduate students was conducted in the period 2008 - 2014. The representative survey with practicing nurses was conducted between 2010 - 2014. Results and Discussion: Half of the future and current health professionals consider their knowledge very good, and little more than a quarter of students and one fifth of healthcare professionals described it as good. At the same time, more than a quarter of nursing practitioners and a fifth of graduate students think that their knowledge is excellent. Conclusion: The knowledge of nurses on issues related to patients` informed consent is an essential factor in optimizing the process of informed consent and in attracting the patient as an active and full participant in the care process
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.007 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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 it