Barriers to Implementation of Perinatal Death Audit in Maternity and Pediatric Hospitals in Jordan: Cross-Sectional Study
Bibliographic record
Abstract
BACKGROUND: Perinatal death audit is a feasible and cost-effective quality improvement tool that helps to improve the quality of health care and reduce perinatal deaths. Perinatal death audit is not implemented in almost all hospitals in Jordan. OBJECTIVE: This study aimed to assess health professionals' attitude toward perinatal death auditing and determine the main barriers for effective implementation of perinatal death auditing as perceived by health professionals in Jordanian hospitals. METHODS: A cross-sectional study was conducted among health professionals in 4 hospitals in Jordan. All physicians (pediatricians and obstetricians) and nurses working in these hospitals were invited to participate in the study. The study questionnaire assessed the attitude of health professionals toward perinatal death audit and assessed barriers for implementation of perinatal death audit in their hospitals. RESULTS: This study included a total of 84 physicians and 218 nurses working in the 4 selected maternity hospitals. Only 35% (29/84) of physicians and 36.2% (79/218) of nurses reported that perinatal death audit would help to improve the quality of prenatal health care services to a great or very great extent. Lack of time was the first-mentioned barrier for implementing perinatal death audit by both physicians (35/84, 42%) and nurses (80/218, 36.7%). Almost the same proportions of health professionals reported inadequate patient information being documented in hospital records as a barrier. Lack of a health information system was the third-mentioned barrier by health professionals. Fear of having conflicts with the family of the dead baby was reported by almost one-third of physicians and nurses. Only 28% (23/83) of physicians and 16.9% (36/213) of nurses reported that they would like to be involved in perinatal death audit in their health facilities. CONCLUSIONS: Health professionals in Jordan had poor attitude toward perinatal death audit. The main barriers for implementing perinatal death audit in Jordanian hospitals were lack of time, inadequate patient information being documented in hospital records, and lack of health information systems.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".