Coping Strategies Used by Iranian Nurses to Deal With Burnout: A Qualitative Research
Bibliographic record
Abstract
BACKGROUND: Although numerous studies have reported about coping strategies among health care worker throughout the world, but no research-based data are available on the perception of coping strategy among Clinical nurses in the Islamic Republic of Iran. OBJECTIVE: The aim of the present study was to describe and explore the experiences of Iranian nurses about their coping strategies. METHODS: In this study we used a qualitative research approach to explore how Iranian nurses perceive and resolve their burnout at work. Twelve nurses were selected by purposive sampling and in-depth semi structured interviews were conducted. All interviews were tape recorded, transcribed verbatim and then analyzed by means of the conventional qualitative content analysis method. RESULTS: The 5 main themes that evolved from content analysis included "religious responsibility", "approximation to God", "spiritual reward", "Holiness of the job" and "spiritual journey" emerged as the most important among these. CONCLUSIONS: The results of this study emphasized that religious or spiritual beliefs give purpose and meaning to nursing interventions, help them tolerate the problems at work, and make nursing care pleasurable. Therefore, although burnout is an important issue in nursing, attending to this dimension of their job is essential and healthcare authorities should pay a special attention to it.
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".