The role and value of nurses in care provision: Views and expectations of Emirati Nationals in the western region of Abu Dhabi, United Arab Emirates
Bibliographic record
Abstract
Background: Reliable health user information is needed to effectively organize nursing services and deliver quality patientcentered care. Nurse leaders of Al Gharbia Health Services (AGHS) noted that although budget data and general workforce information were readily available, detailed information about patient experiences, views, and expectations was lacking.Objective: This study aimed to obtain preliminary data regarding health and nursing service expectations of Emirati nationals in the remote western region of Abu Dhabi, United Arab Emirates (UAE).Methods: This study used qualitative descriptive methodology. Semi-structured interviews were conducted with a sample of Emirati families who had recently accessed AGHS. Interviews focused on service user understanding and expectations of the role of nurses, nursing services, and the health service overall.Results: Emirati nationals’ views and expectations regarding nurses’ role and function in the healthcare team were highlighted. Participants’ expectations and the attributes they valued were distributed across two distinct areas: clinical competence and the “softer” skills of compassion, caring, and respect.Conclusions: These findings facilitate understanding of the expectations of Emirati health service users. Importantly, the results counter regional perceptions of nursing under-valued as a servant role across the UAE and broader Gulf Cooperation Council region. The findings may inform a range of activities including: a large-scale survey regarding the views and expectations of Emirati health service users; pre-service nursing education and nursing in service development; and the recruitment of Emirati nationals to the nursing profession. Further investigation regarding perceptions and valuing of nursing within the Emirati community is warranted.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".