Communication Barriers Perceived by Nurses and Patients
Bibliographic record
Abstract
Communication, as a key element in providing high-quality health care services, leads to patient satisfaction and health. The present Cross sectional, descriptive analytic study was conducted on 70 nurses and 50 patients in two hospitals affiliated to Alborz University of Medical Sciences, in 2012. Two separate questionnaires were used for nurses and patients, and the reliability and validity of the questionnaires were assessed. In both groups of nurses and patients, nurse-related factors (mean scores of 2.45 and 2.15, respectively) and common factors between nurses and patients (mean scores of 1.85 and 1.96, respectively) were considered the most and least significant factors, respectively. Also, a significant difference was observed between the mean scores of nurses and patients regarding patient-related (p=0.001), nurse-related (p=0.012), and environmental factors (p=0.019). Despite the attention of nurses and patients to communication, there are some barriers, which can be removed through raising the awareness of nurses and patients along with creating a desirable environment. We recommend that nurses be effectively trained in communication skills and be encouraged by constant monitoring of the obtained skills.
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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 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".