| Literature DB >> 33848874 |
Clement Gakuba1, Alexandre Sar2, Isabelle Gaborieau3, Jean-Luc Hanouz4, Pierre Verger5.
Abstract
Entities:
Year: 2021 PMID: 33848874 PMCID: PMC8019251 DOI: 10.1016/j.accpm.2021.100860
Source DB: PubMed Journal: Anaesth Crit Care Pain Med ISSN: 2352-5568 Impact factor: 4.132
Characteristics of ICU non-medical healthcare workers and impact of the vaccine information session (values are count and proportion for categorical variables and mean ± standard deviation for continuous variables).
| Characteristics | Total (N = 61) | Acceptance of COVID-19 vaccine before the session (N = 34) | Refusal of COVID-19 vaccine before the session (N = 27) | ||
|---|---|---|---|---|---|
| Demographics | Age (years), m ± s | 37 ± 7 | 37 ± 7 | 38 ± 7 | 0.37 |
| Female, n (%) | 52 (85%) | 28 (82%) | 24 (89%) | 0.73 | |
| Professional characteristics | Nurses, n (%) | 38 (62%) | 23 (68%) | 15 (56%) | 0.33 |
| Nursing Assistants, n (%) | 23 (38%) | 11 (32%) | 12 (44%) | 0.33 | |
| Surgical Intensive Care Unit non-medical healthcare workers, n (%) | 19 (31%) | 13 (38%) | 6 (22%) | 0.18 | |
| Medical Intensive Care Unit non-medical healthcare workers, n (%) | 17 (28%) | 5 (19%) | 12 (35%) | 0.15 | |
| Cardiac Intensive Care Unit non-medical healthcare workers, n (%) | 13 (21%) | 3 (9%) | 10 (37%) | 0.01 | |
| Neurosurgical Intensive Care Unit non-medical healthcare workers, n (%) | 12 (19%) | 6 (18%) | 6 (22%) | 0.66 | |
| Information sources about COVID-19 vaccines | Other healthcare workers, n (%) | 46 (75%) | 25 (74%) | 21 (78%) | 0.93 |
| Televisual Media, n (%) | 41 (67%) | 23 (68%) | 18 (67%) | 0.94 | |
| Friends, n (%) | 21 (34%) | 10 (29%) | 11 (41%) | 0.35 | |
| Relatives, n (%) | 14 (23%) | 7 (20%) | 7 (26%) | 0.62 | |
| Institutional communication, n (%) | 12 (20%) | 8 (24%) | 4 (15%) | 0.52 | |
| Personal research on the internet, n (%) | 9 (15%) | 3 (9%) | 6 (22%) | 0.27 | |
| Attending physician, n (%) | 9 (14%) | 5 (15%) | 4 (15%) | 1 | |
| Social Networks, n (%) | 8 (13%) | 4 (12%) | 4 (15%) | 1 | |
| Radio Media, n (%) | 6 (10%) | 3 (9%) | 3 (11%) | 1 | |
| Health authorities, n (%) | 5 (8%) | 1 (3%) | 4 (15%) | 0.22 | |
| Occupational physician, n (%) | 2 (3%) | 1 (3%) | 1 (4%) | 1 | |
| Learned societies, n (%) | 1 (2%) | 0 (0%) | 1 (4%) | 1 | |
| Biomedical search engine, n (%) | 1 (2%) | 1 (3%) | 0 (0%) | 1 | |
| Benefit/risk balance | COVID-19 vaccines perceived as effective, n (%) | 36 (59%) | 23 (68%) | 13 (48%) | 0.19 |
| Estimated risk of serious adverse event associated with COVID-19 vaccines, m ± s | 22% ± 21% | 16% ± 16% | 29% ± 24% | 0.07 | |
| Evaluation of the information session | Information delivered during the session perceived as understandable, n (%) | 61 (100%) | 34 (100%) | 27 (100%) | 1 |
| Information delivered during the session perceived as relevant, n (%) | 59 (98%) | 33 (97%) | 26 (100%) | 1 | |
| Recommend the information session to other healthcare workers, n (%) | 60 (100%) | 34 (100%) | 26 (100%) | 1 | |
| Impact of the information session | Acceptance of COVID-19 vaccine before the information session | 34 (56%) | 34 (100%) | 0 (0%) | < 0.01 |
| Acceptance of COVID-19 vaccine after the information session | 50 (82%) | 34 (100%) | 16 (59%) | < 0.01 | |
Fig. 1Impact of the vaccine information session on the vaccine acceptance rate among ICU non-medical healthcare workers.