Perception of Nurse Caring, Skills, and Knowledge Based on Appearance
Bibliographic record
Abstract
OBJECTIVE: The objective of the study was to assess differences among perceptions of patients, nurses, nursing faculty, and nursing students regarding nurse caring, skill, and knowledge based on attire and level of visible body art. BACKGROUND: People often make judgments (positive and negative) based on how a person appears. Given somewhat more flexible dress codes for nurses, we wondered what type of perceptions a variety of stakeholders would have of nurses in different levels of attire. METHOD: A descriptive comparative design was used. A convenience sample of 240 patients, nurses, students, and faculty were surveyed regarding their perceptions of a nurse based on appearance. Multivariate analyses of variance were calculated to determine if participants' perception of nurse caring, skill, and knowledge differed by scrub type or level of body art. RESULTS: For the entire sample, the nurse wearing the solid scrub was rated significantly more skilled and knowledgeable than a nurse wearing print or T-shirt attire. Students rated the nurse wearing the solid scrub and print scrub significantly more skilled and knowledgeable. They rated the print scrub higher, with faculty rating it lower. Nurses rated the T-shirt attire more caring than faculty. Patients rated the T-shirt attire more skilled than faculty and students. All subjects rated the nurse with the most body art (piercings and visible tattoo) the least caring, skilled, and knowledgeable. Nurses rated the most amount of body art more caring than patients and faculty. Students rated the most amount of body art more caring than patients and faculty. CONCLUSION: The conflict between the right to self-expression and professional role expectations during nurse and patient interactions is a difficult one. However, because a nurse's appearance can impact perceptions during an encounter, dress codes in the acute care setting should take this into account. To be perceived as skilled and knowledgeable, nurses should wear a solid colored uniform with limited visible body art.
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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 | 0.002 | 0.012 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".