Implementation of the blood donation preservation strategy at Indonesian red cross (IRC) blood donor unit (BDU) Banda Aceh during the COVID-19 pandemic
Bibliographic record
Abstract
Background: The ongoing COVID-19 impacts the world of health, including IRC BDU. There is a need for a rapid response and countermeasures to meet the enormous challenge of balancing blood supply and demand. IRC BDU Banda Aceh in collaboration with the Aceh Government has carried out the civil servant (CS) movement for blood donation. This movement has been carried out since June 2020 until now. The CS donation movement is one of the IRC BDU strategies for the City of Banda Aceh in preserving donors during the COVID-19 pandemic. The study aims to see the impact of the COVID-19 pandemic and the implementation of strategies at IRC BDU Banda Aceh City on the number of blood donors at IRC BDU Banda Aceh City. Methods: This type of research is a descriptive study with a cross sectional survey design. The first quarter of the analysis was carried out to compare the initial period of the 2020 pandemic with the non-pandemic year 2019 to see the impact of the pandemic on the number of blood donors. The second quarter analyzed the impact of the 2020 pandemic with the implementation of the strategy carried out in 2021 on the number of blood donors at IRC BDU Banda Aceh. Results: There was a 12.8% decrease in the number of blood donors in the 2020 period compared to the 2019 period (Mann Whitney test, p-value = 0.038). This shows the impact of the COVID-19 pandemic on the decline in the number of blood donors at IRC BDU Banda Aceh in 2020. In the second quarter, the government's strategy to deal with the shortage of blood supply with the CS donor movement succeeded in increasing the number of blood donors by 12.7% (Mann Whitney test, p-value = 0.242) in 2021 (compared to 2020). This shows that the implementation of the COVID-19 handling strategy from the local government plays an important role in increasing the number of blood donors at IRC BDU Banda Aceh. but there was no significant difference in the average number of donors each month. Conclusion: Management and government participation in mobilizing blood donors and proper utilization are the keys to blood availability during the covid-19 pandemic era.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".