PERCEIVED WORK READINESS IN FINAL-YEAR ALLIED HEALTHCARE STUDENTS: CROSS-SECTIONAL QUESTIONNAIRE STUDY AT A MEDICAL UNIVERSITY IN AJMAN, UAE. (Preprint)
Bibliographic record
Abstract
BACKGROUND Work readiness is essential for the successful transition of allied healthcare graduates into clinical practice. This study assessed the perceived work readiness of final-year allied healthcare students at Gulf Medical University, Ajman, UAE, exploring influencing factors and the relationship between readiness and academic performance to support curriculum development and workforce transition. OBJECTIVE 1. To assess the perceived level of work readiness among final year allied healthcare undergraduate students. 2. To identify factors influencing the perception of work readiness among final year allied healthcare undergraduate students. 3. To examine the correlation between perceived work readiness and academic performance among final year allied healthcare undergraduate students. METHODS A quantitative descriptive cross-sectional design was employed among 141 final-year students from five programs: Nursing, Physiotherapy, Medical Laboratory Sciences, Medical Imaging Sciences, and Anesthesia Technology. Total population sampling was used. Data were collected using the validated Work Readiness Scale – Allied Health (WRS-AH), consisting of four domains: interpersonal capabilities, practical wisdom, personal attributes, and organizational acumen. Data analysis was conducted using SPSS, employing descriptive statistics and inferential tests. RESULTS The overall mean work readiness score was 3.59 ± 0.78, indicating moderate perceived readiness. Among the four domains, Organizational Acumen had the highest proportion of students reporting high readiness (73.0%), followed by Practical Wisdom (68.8%), whereas Personal Attributes had the lowest (28.4%). No significant differences were found by gender, employment status, semester, or program. A non-significant trend was observed between CGPA and readiness (P = 0.314). Strong positive correlations were noted between work readiness and practical wisdom (R = 0.935, P < 0.001), and interpersonal capabilities (R = 0.845, P < 0.001). CONCLUSIONS Final-year allied health students perceived themselves as moderately ready for practice, with stronger soft skills than personal resilience. These findings emphasize the need for enhanced interpersonal and professional development training within curricula to better prepare students for the workforce. CLINICALTRIAL NIL
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".