Healthcare Providers’ Perspectives on Family Presence During Resuscitation in the Emergency Departments of the Kingdom of Bahrain
Bibliographic record
Abstract
Abstract Background: Worldwide, policies exist on family presence during resuscitation (FPDR), however, this is still lacking in the Gulf Corporation Countries (GCC) in general and in the Kingdom of Bahrain in particular. The aim of this study is to assess the perspectives of healthcare providers (HP) on FPDR among those working in the emergency departments (EDs) in the Kingdom. Methods: A self-administered anonymous electronic survey was collected from 146 HPs (emergency physicians and nurses) working in the three major EDs in the Kingdom of Bahrain. Besides demographic data, 18 items measuring HPs’ perceptions of FPDR were generated using the 5-point Likert scale.Results: Surveys (n= 146) from physicians and nurses were analysed (45.9% vs. 54.1%, respectively). There were significant differences between physicians and nurses in terms of personal beliefs, FPDR enhancing professional satisfaction and behaviour, and the importance of a support person and saying goodbye (p< 0.001). However, general responses demonstrated that the majority of HPs encouraged and supported FPDR, but with greater support from physicians than nurses. Conclusion: The study reflects that many HPs in EDs participated in and are familiar with FPDR, with the majority of ED physicians supporting it. Further studies should investigate the reasons for the lack of support from nurses. Results may contribute to the development of hospital ED policies that allow FPDR in the region.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".