A pre experimental study to assess the effectiveness of video assisted teaching on knowledge regarding epidural analgesia among the staff nurses of selected hospitals of district Kangra, Himachal Pradesh
Bibliographic record
Abstract
Background: The introduction of neuraxial analgesia into obstetric practice took place at the end of the 19th century, one year after Bier, a German surgeon, described six lower extremity operations rendered painless by means “cocainization of the spinal cord”. In Canada, the epidural analgesia rate Vaies between the provinces from 30% to 60% of women using this technique in large hospitals.Methodology: A quantitative research approach and pre-experimental research design was adopted to conduct study. The non-probability purposive sampling technique was used to select 100 staff nurses of Dist Kangra, Himachal Pradesh. A self-structured knowledge questionnaire was used to assess the level of knowledge. Analysis of collected data was done according to the objectives of the study and data analyzed by using descriptive and inferential statistics.Result: The study shows that out of 60 staff nurses, about (46.70%) of staff nurses belongs to age group of 22-27years, all were female (100%), majority (81.7%) were holding GNM diploma, (41.7%) were having experience of 6 years and above, (60%) of staff nurses were married, about (63.3%) were residing in urban area, (50%) were having knowledge about epidural analgesia due to mass media and (65%) of staff nurses were working in private hospitals. Overall mean value of posttest was high then the pretest. The value of t was significant at p< 0.05 level of significance. Study finding revealed that out of all selected socio demographic variables only education, experience, place of residence, type of hospital in which working, were associating with the posttest knowledge score of staff nurses related to epidural analgesia.Conclusion: video assisted teaching was effective in improving knowledge regarding epidural analgesia.
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.
How this classification was reachedexpand
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 | 0.014 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".