A Systematic Review of Death Anxiety and Related Factors Among Nurses
Bibliographic record
Abstract
This systematic review aimed to summarize the evidence regarding death anxiety (DA) and related factors among nurses. Scopus, PubMed, Web of Science, Iranmedex, and Scientific Information Database (SID) databases were extensively searched using purpose-related keywords from the earliest to October 5, 2021. A total of 6819 nurses were included in 31 studies. The DA of nurses based on the Templer's Death Anxiety Scale was moderate. Factors such as personal anxiety, frequency and severity of job stress, burnout, dying patient avoidance behavior, euthanasia, sex, mental health status, social desirability, attitude toward the elderly, humor, social maturity, psychological hardiness, quality of life, lack of social activity, self-efficacy, coping with death, and life satisfaction were associated with nurses' DA. Therefore, nursing policymakers can promote nurses' health to improve the quality of nursing care by considering these related factors.
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".