| Literature DB >> 34931179 |
Dhivya Kandasamy1, Shamee Shastry2, Deepika Chenna2, Ganesh Mohan2.
Abstract
INTRODUCTION: With the outbreak of COVID-19 and its containment measures, blood centers faced a huge challenge in balancing blood demand and supply and devising a preparedness plan to withstand the uncertain situation. This study assesses the effect of the COVID-19 pandemic on blood transfusion services and discusses the appropriate mitigation strategies adopted.Entities:
Keywords: Blood supply management; COVID-19; Coping strategy; Corona Virus; E-platforms; Lockdown effect; Pandemic; blood donation
Year: 2021 PMID: 34931179 PMCID: PMC8674497 DOI: 10.1016/j.htct.2021.09.019
Source DB: PubMed Journal: Hematol Transfus Cell Ther ISSN: 2531-1379
Donor demographic profile.
| Q1 (Pre-lockdown) | Q2 (Post-lockdown) | |||||
|---|---|---|---|---|---|---|
| Non-pandemic | Pandemic | Non-pandemic | Pandemic | |||
| 2018 (Y1) | 2019 (Y2) | 2020 (Y3) | 2018 (Y1) | 2019 (Y2) | 2020 (Y3) | |
| N (%) | N (%) | N (%) | N (%) | N (%) | N (%) | |
| 18 - 25 | 1,539 (40.6) | 2,068 (50.3) | 1,714 (39.2) | 1,325 (36) | 1,318 (33.9) | 750 (29.6) |
| 26 - 35 | 1,349 (35.6) | 1,275 (31) | 1,644 (37.6) | 1,361 (37) | 1,594 (41.7) | 1,011 (39.9) |
| 36 - 45 | 671 (17.7) | 542 (13.2) | 747 (17.1) | 739 (20.1) | 649 (16.7) | 557 (22) |
| 46 - 55 | 192 (5.1) | 197 (4.8) | 236 (5.4) | 220 (6) | 229 (6.9) | 197 (7.8) |
| 56 - 65 | 36 (1) | 28 (0.7) | 30 (0.7) | 32 (0.9) | 31 (0.8) | 17 (0.7) |
| Male | 3,404 (89.9) | 3,746 (91.1) | 3,909 (89.4) | 3,460 (94.1) | 3,666 (94.3) | 2,460 (97) |
| Female | 383 (10.1) | 327 (8.9) | 464 (10.6) | 217 (5.9) | 222 (5.7) | 76 (3) |
| First-time | 2,510 (66.3) | 2,986(72.6) | 2,951(67.5) | 1,669 (45.3) | 1,582 (40.7) | 618 (24.4) |
| Repeat | 1,277 (33.7) | 1,127(27.4) | 1,422(32.5) | 2,009 (54.7) | 2,306 (59.3) | 1,918 (80.4) |
Figure 1The blood donation and deferral during the study period.
Figure 2The trend of blood supply management during the study period.
Figure 3The PRBC utilization during the study period.
The impact of COVID-19 on blood transfusion services during the post-lockdown phase of the pandemic year.
| Blood Transfusion Services | Impact during post-lockdown (Q2) phase of Pandemic year (Difference in % or numbers) | ||
|---|---|---|---|
| Compared to Q1 of pandemic year Q1Y3 | Compared to Q2 of non-pandemic years | ||
| Q2Y1 | Q2Y2 | ||
| ↓46.3% | ↓33.3% | ↓ 36.9% | |
| Q1Y3 ( | |||
| Q2Y3 ( | |||
| Q2Y1 ( | |||
| Q2Y3 ( | |||
| (i) Outdoor blood donation drive | ↓ 73.8% | ↓ 54.1% | ↓ 45.9% |
| Q1Y3 = 65% (2,849/4,377) | |||
| Q2Y3= 17% (431/2,536) | |||
| Q2Y1= 37.02% (1,365/3,688) | |||
| Q2Y2= 31.43% (1,222/3,888) | |||
| (ii) In-house site | ↑137.1% | ↑31.8% | ↑21% |
| Q1Y3 = 35% (1,534/4,377) | |||
| Q2Y3 = 83% (2,114/2,536) | |||
| Q2Y1 = 62.9% (2,323/3,688) | |||
| Q2Y2 = 68.6 % (2,666/3,888) | |||
| (iii) Age group | |||
| (1) 18 – 25 years | ↓24.5% | ↓ 17·7% | ↓ 12·6% |
| (2) 26 – 35 years | ↑6.1% | ↑7·8% | ↓ 4·3 % |
| (3) 36 - 45 years | ↑28.7% | ↑10% | ↑31·7 % |
| (4) 46 - 55 years | ↑44.4% | ↑32·2% | ↑13 % |
| (v) Gender | |||
| (a) Male donors | ↑8.5% | ↑3.1% | ↑2.9% |
| (b) Female donors | ↓71.6% | ↓49.% | ↓47.4% |
| Type of blood donors | |||
| (a) First-time | ↓63.9% | ↓46 % | ↓40.1% |
| (b) Repeat | ↑147.3% | ↑46.7% | ↑35.6% |
| ↓ 50.8% | ↓31.8% | ↓ 33.4% | |
| Q1Y3 = 13.76% (700/5,087) | |||
| Q2Y3 = 6.77% (185 /2,730) | |||
| Q2Y1 = 9.93% (406/4,092) | |||
| Q2Y2 = 10.16 % (440/4,327) | |||
| ↓42.1 % | ↓31.2 % | ↓34.8 % | |
| Q1Y3 ( | |||
| Q2Y3 ( | |||
| Q2Y1 ( | |||
| Q2Y2 ( | |||
| ↓31.4 % | ↓30.9 % | ↓ 32.7% | |
| Q1Y3 ( | |||
| Q2Y3 ( | |||
| Q2Y1 ( | |||
| Q2Y2 ( | |||
| ↓45.9 % | ↓ 36.7% | ↓ 29.7% | |
| Q1Y3 ( | |||
| Q2Y3 ( | |||
| Q2Y1 ( | |||
| Q2Y2 ( | |||
| ↓34.2 % | ↓30.6 % | ↓ 34.9% | |
| Q1Y3 ( | |||
| Q2Y3 ( | |||
| Q2Y1 ( | |||
| Q2Y2 ( | |||