Knowledge, Attitudes, and Practices of Pregnant Women and Hospital Staff Regarding Umbilical Cord Blood Banking: Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Background/Objectives: The aim of this study is to assess the knowledge, attitudes, and practices of pregnant women and hospital staff regarding umbilical cord blood (UCB) donation and storage to understand its limitations in clinical practice. Methods: MEDLINE, Scopus, LILACS, EMBASE, Scielo.br, and PROSPERO were searched from inception to 30 November 2023 with no geographic or language restrictions. The study eligibility criteria included cross-sectional studies that interviewed pregnant women and/or hospital staff about their knowledge, attitudes, and practices regarding private or public storage. A random-effects restricted maximum-likelihood model with Freeman–Tukey Double arcsine transformation meta-analysis was carried out to calculate the pooled estimates. MOOSE guidelines were followed. STATA 14.1 was used for statistical analysis. The Newcastle–Ottawa Scale and ROBINS-I tool were used for quality and risk of bias assessments. Results: In total, 19 studies providing data for 19,904 pregnant women and 1245 hospital staff members were included. Pooled pregnant women awareness was 61% ((95% CI 0.60 to 0.62), I2 = 0%, τ2 = 0.00, Q = 11.0 (p = 0.950)), and 61% for hospital staff (95% CI 0.58 to 0.64), I2 = 0%, τ2 = 0.00, Q = 4.00 (p = 0.310)). In total, 57% ((95% CI 0.56 to 0.58), I2 = 0, τ2 = 0.00, Q = 4.00 (p = 0.320)) of pregnant women had a positive attitude about UCB, while 34% ((95% CI 0.32 to 0.36), I2 = 0%, τ2 = 0.00, Q = 4.00 (p = 0.310)) were in favor of donating UCB for research and 65% ((95% CI 0.63 to 0.66), I2 = 0%, τ2 = 0.00, Q = 4.0 (p = 0.350)) were planning UCB storage. A significant (p < 0.001) preference for public relative to private banking (51% ([95% CI 0.49 to 0.54], I2 = 0%, τ2 = 0.00, Q = 4.0 (p = 0.310)) vs. 12% ([95% CI 0.10 to 0.13], I2 = 0%, τ2 = 0.00, Q = 4.0 (p = 0.300))) was noted for pregnant women. The same was retrievable for professionals (84% ([95% CI 0.79 to 0.88], I2 = 0%, τ2 = 0.00, Q = 2.0 (p = 0.110)) vs. 6% ([95% CI 0.03 to 0.09], I2 = 0%, τ2 = 0.00, Q = 1.0 (p = 0.070); p < 0.001)). Conclusions: Despite these efforts, lack of knowledge and positive attitudes about UCB banking remain, emphasizing the need for increasing educational programs on the subject.
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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 | 0.015 | 0.042 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.026 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".