| Literature DB >> 33835509 |
Torsten Chandler1, Sebastian Neumann-Böhme2, Iryna Sabat3, Pedro Pita Barros3, Werner Brouwer2,4, Job van Exel2,4, Jonas Schreyögg1, Aleksandra Torbica5, Tom Stargardt1.
Abstract
BACKGROUND: In this survey, we aimed to provide early insight into the impact of COVID-19 on blood donors and their motivation to donate during the crisis. STUDY DESIGN AND METHODS: We asked representative samples in 7 European countries (Denmark, France, Germany, Italy, Portugal, the Netherlands and the UK) about their blood donation activity and motivation to donate using an online survey. We analysed donor turnout during the COVID-19 period descriptively and using logistic regression.Entities:
Keywords: blood collection; donor motivation; donor recruitment; donors
Mesh:
Year: 2021 PMID: 33835509 PMCID: PMC8250750 DOI: 10.1111/vox.13103
Source DB: PubMed Journal: Vox Sang ISSN: 0042-9007 Impact factor: 2.996
Background characteristics of all survey respondents
| Country | Overall sample | Number of donors (%) | Age (SE) | Male % | Years in full‐time education (SE) |
|---|---|---|---|---|---|
| Germany | 1050 | 226 (21·5%) | 48·7 (0·5) | 48·6% | 12·9 (0·1) |
| United Kingdom | 1041 | 186 (17·9%) | 47·5 (0·5) | 46·9% | 14·2 (0·1) |
| Denmark | 1005 | 151 (15·0%) | 49·4 (0·5) | 48·0% | 14·0 (0·1) |
| The Netherlands | 1000 | 102 (10·2%) | 48·1 (0·5) | 49·0% | 13·0 (0·2) |
| France | 1003 | 209 (20·8%) | 47·7 (0·5) | 47·2% | 13·8 (0·2) |
| Portugal | 1015 | 165 (16·3%) | 44·6 (0·5) | 47·6% | 14·2 (0·1) |
| Italy | 1008 | 166 (16·5%) | 48·6 (0·5) | 48·0% | 14·3 (0·1) |
| All countries | 7122 | 1205 (16·9%) | 47·8 (0·2) | 47·9% | 13·8 (0·1) |
Background characteristics of blood donors in sample
| Country | Number of donors (% of country sample) |
| Mean age (SE) | % Male | Years in full‐time education. Mean (SE) | No. of donations 2 years pre‐COVID‐19. Mean (SE) | Perceived COVID‐19 infection risk whilst donating blood (SE) |
|---|---|---|---|---|---|---|---|
| Germany | 226 (21·5%) | 35·8% | 41·4 (1·0) | 54·0% | 13·0 (0·4) | 4·3 (0·2) | 2·28 (0·1) |
| United Kingdom | 186 (17·9%) | 40·9% | 40·0 (1·1) | 45·7% | 15·1 (0·4) | 4·1 (0·2) | 2·44 (0·1) |
| Denmark | 151 (15·0%) | 29·8% | 43·8 (1·3) | 55·0% | 14·7 (0·3) | 3·8 (0·3) | 1·95 (0·1) |
| The Netherlands | 102 (10·2%) | 37·3% | 42·6 (1·6) | 58·8% | 12·9 (0·6) | 4·5 (0·4) | 2·41 (0·1) |
| France | 209 (20·8%) | 31·1% | 41·3 (1·0) | 51·7% | 14·3 (0·4) | 3·8 (0·2) | 2·16 (0·1) |
| Portugal | 165 (16·3%) | 21·2% | 40·5 (1·1) | 52·7% | 14·7 (0·3) | 3·1 (0·2) | 2·03 (0·1) |
| Italy | 166 (16·5%) | 40·4% | 43·5 (1·2) | 57·2% | 15·4 (0·4) | 4·3 (0·3) | 2·26 (0·1) |
| All countries | 1205 (16·9%) | 33·8% | 41·7 (0·4) | 53·1% | 14·3 (0·1) | 4·0 (0·1) | 2·21 (0·0) |
(1 = no risk; 5 = very high risk).
Fig. 1How has COVID‐19 affected your blood donation activity? Self‐reported impact on blood donation activity from 1205 blood donors identified in the sample.
Fig. 2Did you make a special effort to donate in order to help your healthcare system during the COVID‐19 epidemic? Responses from 407 blood donors who donated during COVID‐19.
Fig. 3Worries among blood donors about the healthcare system being overloaded. Responses from 1205 blood donors identified in the sample.
Fig. 4Are you aware whether your blood sample was tested for COVID‐19 antibodies? Responses from 407 blood donors who donated during COVID‐19.
Logistic regression analysis of donor turnout during COVID‐19
| Mean (SE)/% | Odds Ratio | SE | z |
| 95% Confidence Interval | ||
|---|---|---|---|---|---|---|---|
| No. of blood donations two years prior to COVID‐19 period | 0·67 (0·02) | 1·872 | 0·043 | 27·260 | 0·000 | 1·790 | 1·958 |
| Perceived high risk of COVID infection whilst donating blood (4 or 5) (Yes/no) | 12·29% | 0·540 | 0·121 | −2·750 | 0·006 | 0·349 | 0·838 |
| Worried quite a bit/a lot about healthcare system being overloaded (Yes/no) | 41·85% | 1·033 | 0·153 | 0·220 | 0·827 | 0·772 | 1·382 |
| Vulnerable person in household (Yes/no) | 29·30% | 0·975 | 0·161 | −0·150 | 0·877 | 0·705 | 1·347 |
| Quite strongly/fully adhered to COVID guidelines (Yes/no) | 74·40% | 0·583 | 0·085 | −3·690 | 0·000 | 0·438 | 0·777 |
| Age category | |||||||
| 18–24 | 9·66% | Reference | |||||
| 25–34 | 16·22% | 0·545 | 0·109 | −3·030 | 0·002 | 0·368 | 0·807 |
| 35–44 | 18·23% | 0·352 | 0·076 | −4·830 | 0·000 | 0·230 | 0·538 |
| 45–54 | 17·99% | 0·270 | 0·065 | −5·480 | 0·000 | 0·169 | 0·432 |
| 55–64 | 16·29% | 0·167 | 0·048 | −6·280 | 0·000 | 0·096 | 0·292 |
| 65+ | 21·60% | 0·104 | 0·033 | −7·070 | 0·000 | 0·055 | 0·195 |
| Education (years) | |||||||
| <10 | 16·15% | Reference | |||||
| 10–12 | 20·31% | 0·689 | 0·164 | −1·560 | 0·118 | 0·432 | 1·099 |
| 13–15 | 26·11% | 0·692 | 0·150 | −1·700 | 0·089 | 0·453 | 1·057 |
| 16–18 | 22·37% | 0·499 | 0·113 | −3·070 | 0·002 | 0·320 | 0·778 |
| 18+ | 15·06% | 0·874 | 0·199 | −0·590 | 0·552 | 0·559 | 1·364 |
| Field of work | |||||||
| Health‐related sector (medical staff, pharmacist, medical student) | 8·57% | 2·362 | 0·479 | 4·240 | 0·000 | 1·587 | 3·514 |
| Education (e.g. schools, nurseries) | 7·82% | 2·182 | 0·461 | 3·690 | 0·000 | 1·443 | 3·301 |
| Food retail (Supermarkets) | 3·97% | 1·359 | 0·406 | 1·030 | 0·304 | 0·757 | 2·441 |
| Research | 2·37% | 0·913 | 0·354 | −0·230 | 0·815 | 0·427 | 1·954 |
| Other | 77·26% | Reference | |||||
| Female | 52·12% | 0·835 | 0·119 | −1·260 | 0·207 | 0·632 | 1·104 |
| Country | |||||||
| Germany | 14·75% | Reference | |||||
| United Kingdom | 14·62% | 1·052 | 0·249 | 0·210 | 0·831 | 0·662 | 1·672 |
| Denmark | 14·09% | 0·647 | 0·169 | −1·670 | 0·096 | 0·388 | 1·079 |
| The Netherlands | 14·04% | 0·609 | 0·166 | −1·820 | 0·068 | 0·357 | 1·038 |
| France | 14·09% | 0·845 | 0·201 | −0·710 | 0·480 | 0·530 | 1·348 |
| Portugal | 14·26% | 0·725 | 0·192 | −1·220 | 0·224 | 0·432 | 1·217 |
| Italy | 14·16% | 1·083 | 0·264 | 0·330 | 0·745 | 0·671 | 1·745 |
| Intercept | 0·106 | 0·031 | −7·770 | 0·000 | 0·060 | 0·187 | |
CI, confidence interval; N, 7120; SE, standard error.
Background characteristics of active donors*
| Country | Number of active donors (% of country sample) | % donating during COVID‐19 period | Mean age (SE) | % Male | Years in full‐time education. Mean (SE) | No. of donations 2 years pre‐COVID‐19. Mean (SE) | Perceived COVID‐19 infection risk whilst donating blood (SE) |
|---|---|---|---|---|---|---|---|
| Germany | 192 (18·3%) | 41·7% | 39·4 (1·1) | 54·2% | 12·8 (0·4) | 5·0 (0·2) | 2·4 (0·1) |
| United Kingdom | 154 (14·8%) | 48·1% | 38·6 (1·2) | 48·1% | 14·9 (0·4) | 4·9 (0·2) | 2·5 (0·1) |
| Denmark | 114 (11·3%) | 38·6% | 40·2 (1·4) | 53·5% | 15·0 (0·4) | 5·0 (0·3) | 2·1 (0·1) |
| The Netherlands | 79 (7·9%) | 48·1% | 39·0 (1·7) | 63·3% | 13·0 (0·7) | 5·8 (0·4) | 2·6 (0·1) |
| France | 178 (17·7%) | 36·0% | 39·9 (1·1) | 51·1% | 14·2 (0·4) | 4·5 (0·2) | 2·2 (0·1) |
| Portugal | 131 (12·9%) | 24·4% | 38·8 (1·2) | 50·4% | 15·0 (0·3) | 3·9 (0·2) | 2·0 (0·1) |
| Italy | 144 (14·3%) | 46·5% | 41·3 (1·2) | 56·3% | 15·8 (0·4) | 4·9 (0·3) | 2·0 (0·1) |
| All countries | 992 (13·9%) | 40·2% | 39·6 (0·5) | 53·1% | 14·4 (0·2) | 4·8 (0·1) | 2·3 (0·0) |
At least one donation in two years pre‐COVID‐19 period.
1 = no risk; 5 = very high risk).
Logistic regression analysis of active donor turnout during COVID‐19
| Mean (SE)/% | Odds Ratio | SE | z |
| 95% Confidence Interval | ||
|---|---|---|---|---|---|---|---|
| No. of blood donations two years prior to COVID‐19 period | 4·80 (0·096) | 1·370 | 0·040 | 10·730 | 0·000 | 1·294 | 1·451 |
| Perceived high risk of COVID infection whilst donating blood (4 or 5) (Yes/no) | 16·13% | 0·853 | 0·194 | −0·700 | 0·485 | 0·546 | 1·333 |
| Worried quite a bit/a lot about healthcare system being overloaded (Yes/No) | 42·54% | 1·100 | 0·177 | 0·590 | 0·555 | 0·802 | 1·507 |
| Vulnerable person in household (Yes/no) | 23·49% | 0·964 | 0·177 | −0·200 | 0·842 | 0·673 | 1·381 |
| Quite strongly/fully adhered to COVID guidelines (Yes/no) | 63·81% | 0·569 | 0·092 | −3·500 | 0·000 | 0·415 | 0·781 |
| Age category | |||||||
| 18–24 | 15·32% | Reference | |||||
| 25–34 | 28·83% | 0·511 | 0·119 | −2·880 | 0·004 | 0·323 | 0·807 |
| 35–44 | 21·77% | 0·416 | 0·103 | −3·540 | 0·000 | 0·256 | 0·676 |
| 45–54 | 16·33% | 0·366 | 0·100 | −3·670 | 0·000 | 0·214 | 0·626 |
| 55–64 | 10·18% | 0·284 | 0·090 | −3·990 | 0·000 | 0·153 | 0·527 |
| 65+ | 7·56% | 0·202 | 0·074 | −4·390 | 0·000 | 0·099 | 0·412 |
| Education (years) | |||||||
| <10 | 14·82% | Reference | |||||
| 10–12 | 16·43% | 0·795 | 0·218 | −0·840 | 0·403 | 0·465 | 1·360 |
| 13–15 | 24·19% | 0·945 | 0·236 | −0·230 | 0·821 | 0·579 | 1·543 |
| 16–18 | 24·09% | 0·616 | 0·158 | −1·900 | 0·058 | 0·373 | 1·017 |
| 18+ | 20·46% | 1·033 | 0·269 | 0·120 | 0·902 | 0·620 | 1·719 |
| Field of work | |||||||
| Health‐related sector (medical staff, pharmacist, medical student) | 13·41% | 1·866 | 0·433 | 2·690 | 0·007 | 1·184 | 2·941 |
| Education (e.g. schools, nurseries) | 10·79% | 1·751 | 0·428 | 2·290 | 0·022 | 1·085 | 2·826 |
| Food retail (Supermarkets) | 4·94% | 0·997 | 0·343 | −0·010 | 0·992 | 0·508 | 1·956 |
| Research | 4·33% | 0·772 | 0·296 | −0·670 | 0·500 | 0·364 | 1·637 |
| Other | 66·53% | Reference | |||||
| Female | 46·88% | 1·077 | 0·168 | 0·470 | 0·636 | 0·793 | 1·462 |
| Country | |||||||
| Germany | 19·35% | Reference | |||||
| United Kingdom | 15·52% | 1·154 | 0·296 | 0·560 | 0·575 | 0·698 | 1·909 |
| Denmark | 11·49% | 0·770 | 0·217 | −0·930 | 0·354 | 0·443 | 1·338 |
| The Netherlands | 7·96% | 0·879 | 0·276 | −0·410 | 0·680 | 0·475 | 1·624 |
| France | 17·94% | 0·806 | 0·201 | −0·870 | 0·386 | 0·495 | 1·313 |
| Portugal | 13·21% | 0·663 | 0·190 | −1·430 | 0·152 | 0·378 | 1·163 |
| Italy | 14·52% | 1·382 | 0·362 | 1·230 | 0·217 | 0·827 | 2·309 |
| Intercept | 0·458 | 0·160 | −2·240 | 0·025 | 0·231 | 0·908 | |
CI, confidence interval; N, 992; SE, standard error.