Nurse leader empowerment, challenges and coping strategies among nursing leaders in Pakistan: A qualitative descriptive study
Bibliographic record
Abstract
Objective: Nursing is considered a growing profession worldwide, but nurses in developing world like Pakistan face challenges for their empowerment within and inter professions. The overwhelming feeling of being oppressed shatters nurses’ confidence and self-esteem and hinders their growth and development of the profession as well.Methods: To guide professional growth and empowerment of nursing in Pakistan, a qualitative descriptive study was aimed to discover challenges, strategies and outcomes of empowerment of nurse leaders in Pakistan. Twelve nurses serving as leaders in nursing organization of Pakistan, who fulfilled inclusive criteria were interviewed about their perception of the challenges, strategies and outcomes of empowerment for Pakistani nurses.Results and Conclusions: Nurses in Pakistan are facing great turbulence regarding their professional empowerment, but nursing leaders are striving hard at personal, institutional and government levels to help nurse understand the dynamics of challenges of empowerment and adopt appropriate strategies to attain and retain empowerment.
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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 | 0.000 |
| 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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".