A SURVEY ON COMMUNICATION SKILLS OF UNDERGRADUATE STUDENT OF SHAHID BEHESHTI UNIVERSITY OF MEDICAL SCIENCES، FACULTY OF REHABILITATION IN IN THE ACADEMIC YEAR 2011-2012
Bibliographic record
Abstract
Background and Aim: Communication are described as a major feature for people working in primary health care these skill is a key component of the clinical competencies and is helpful for patient adherence. The purpose of this research was to assess communication skills of undergraduate student of shahid Beheshti University of Medical Sciences ،Faculty of Rehabilitation in in the academic year 2011-2012 Materials and Methods: in this cross-sectional study a questionnaire were used that was written base on the method of Calgary - Cambridge and had modified for Persian culture and language. Physiotherapy and occupational therapy professors answered this questionnaire base on their observation and evaluation of their student while communication with their patients. The population of this study was 89 undergraduate students from Shahid Beheshti University of Medical Sciences، Faculty of Rehabilitation in the academic year 2011-2012 that was in 6-8 semesters. 53 students were studying occupational therapy and 36 students were studying physiotherapy. Results: The results show that most of the students were gained average score in the communication skills questionnaire and there was no significant difference between physiotherapy student and occupational therapy students. Conclusion: Considering the obtained results, it can be said that communication skills of rehabilitation students is deficient and considering the importance of such skills, necessity of their education in clinical settings before contacting real clients is revealed. Key words: communication skill training- rehabilitation student
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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".