| Literature DB >> 35301211 |
Kathleen R Page1, Eleonora Genovese2, Matteo Franchi3, Silvano Cella4, Gianfrancesco Fiorini5, Rim Tlili6, Sebastian Salazar7, Aline Duvoisin8, Johann Cailhol6,9, Yves Jackson10,11.
Abstract
STUDYEntities:
Keywords: COVID-19; GENERAL MEDICINE (see Internal Medicine); Health policy
Mesh:
Substances:
Year: 2022 PMID: 35301211 PMCID: PMC8931801 DOI: 10.1136/bmjopen-2021-056591
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Sociodemographic characteristics of the participants (n=812)
| Total | Geneva | Baltimore | Milan | Paris | P value | |
| Female gender | 492 (60.9) | 279 (63.4) | 98 (70.0) | 84 (67.2) | 31 (30.1) | <0.001 |
| Missing values | 4 | 1 | 2 | 1 | 0 | |
| Age | 39 (16) | 39 (17) | 40 (13) | 41 (20) | 35 (16) | 0.001 |
| Missing values | 2 | 1 | 0 | 1 | ||
| Region of origin | 0.001 | |||||
| 103 (12.7) | 52 (11.8) | 0 (0) | 8 (6.4) | 43 (41.8) | ||
| 454 (55.9) | 227 (51.5) | 142 (100) | 83 (65.9) | 2 (1.9) | ||
| 64 (7.9) | 28 (6.4) | 0 (0) | 7 (5.6) | 29 (28.2) | ||
| 62 (7.6) | 39 (8.8) | 0 (0) | 21 (16.7) | 2 (1.9) | ||
| 38 (4.7) | 7 (1.6) | 0 (0) | 6 (4.8) | 25 (24.3) | ||
| 91 (11.2) | 88 (20.0) | 0 (0) | 1 (0.8) | 2 (1.9) | ||
| 0 | 0 | 0 | 0 | 0 |
Undocumented migrants’ perceived accessibility to and demand for COVID-19 vaccine with related enabling and barrier factors
| Total | Geneva | Baltimore | Milan | Paris | P value | |
| Access to COVID-19 vaccination | 697 (86.4) | 377 (86.1) | 116 (82.3) | 110 (88.0) | 94 (91.3) | 0.219 |
| Missing values | 5 | 3 | 1 | 1 | 0 | |
| Demand for COVID-19 vaccination | 327 (41.2) | 168 (39.0) | 79 (59.0) | 65 (52.0) | 15 (14.6) | <0.001 |
| 19 | 10 | 8 | 1 | 0 | ||
| COVID-19 exposure | ||||||
| COVID-19 infection (self) | 114 (14.1) | 62 (14.1) | 32 (22.5) | 11 (8.7) | 9 (8.8) | 0.003 |
| Missing | 3 | 2 | 0 | 0 | 1 | |
| COVID-19 infection (household) | 129 (16.1) | 74 (17.0) | 35 (25.2) | 17 (13.5) | 3 (2.9) | <0.001 |
| Missing values | 9 | 6 | 3 | 0 | 0 | |
| Clinical risk factors for severe COVID-19 infection | ||||||
| Cardiovascular disease | 109 (13.7) | 46 (10.8) | 14 (10.1) | 34 (27.0) | 15 (14.6) | <0.001 |
| Diabetes | 85 (10.7) | 21 (4.9) | 27 (19.4) | 13 (10.3) | 24 (23.3) | <0.001 |
| Weight excess | 79 (9.9) | 29 (6.8) | 22 (15.8) | 16 (12.7) | 12 (11.7) | 0.010 |
| Chronic lung disease | 40 (5.0) | 24 (5.6) | 1 (0.7) | 11 (8.7) | 4 (3.9) | 0.022 |
| Chronic kidney disease | 29 (3.7) | 15 (3.5) | 8 (5.8) | 5 (4.0) | 1 (1.0) | 0.272 |
| ≥1 comorbidity | 234 (29.5) | 96 (22.5) | 52 (37.4) | 57 (45.2) | 29 (28.2) | <0.001 |
| Missing values | 18 | 15 | 3 | 0 | 0 | |
| Views on COVID-19 risks and vaccination | ||||||
| High self-perceived risk of severe COVID-19 infection | 208 (26.2) | 95 (22.0) | 35 (25.7) | 42 (33.9) | 36 (35.0) | 0.008 |
| Missing values | 18 | 10 | 6 | 2 | 0 | |
| Positive views on vaccination in general | 605 (77.3) | 300 (70.6) | 126 (94.0) | 98 (79.0) | 81 (81.0) | <0.001 |
| Missing values | 29 | 16 | 8 | 2 | 3 | |
| Positive views on COVID-19 vaccination | 445 (56.5) | 218 (51.1) | 104 (77.6) | 79 (63.7) | 44 (42.7) | <0.001 |
| Missing values | 24 | 14 | 8 | 2 | 0 | |
| Sources of information about COVID-19 vaccines | ||||||
| Traditional media (TV, radio, web) | 626 (79.3) | 329 (76.9) | 109 (82.0) | 104 (83.2) | 84 (81.6) | 0.309 |
| Social media | 361 (45.8) | 189 (44.2) | 36 (27.1) | 56 (44.8) | 80 (77.7) | <0.001 |
| Community networks | 214 (27.1) | 99 (23.1) | 6 (4.5) | 34 (27.2) | 75 (72.8) | <0.001 |
| Other | 33 (4.2) | 25 (5.8) | 0 (0) | 7 (5.6) | 1 (1.0) | 0.007 |
| Missing values | 23 | 13 | 9 | 1 | 0 | |
Factors associated with perceived accessibility of COVID-19 vaccination in regression analysis
| Univariate analysis | Multivariate analysis | |||
| OR (95% CI) | P value | aOR (95% CI) | P value | |
| Study site Geneva | Reference | Reference | ||
| Baltimore | 0.75 (0.45 to 1.25) | 0.276 | 0.56 (0.30 to 1.03) | 0.063 |
| Milan | 1.20 (0.65 to 2.19) | 0.562 | 1.07 (0.56 to 2.06) | 0.838 |
| Paris | 1.70 (0.81 to 3.54) | 0.160 | 2.24 (0.86 to 5.83) | 0.100 |
| Gender female | 1.57 (1.04 to 2.35) | 0.030 | 1.62 (1.03 to 2.56) | 0.038 |
| Age (per additional year) | 1.01 (0.99 to 1.03) | 0.272 | 1.01 (0.99 to 1.03) | 0.511 |
| Region of origin Europe | Reference | Reference | ||
| Africa | 1.82 (0.78 to 4.23) | 0.165 | 1.64 (0.66 to 4.05) | 0.286 |
| Americas | 1.77 (0.90 to 3.46) | 0.095 | 1.97 (0.93 to 4.16) | 0.075 |
| Eastern Mediterranean | 2.56 (0.91 to 7.25) | 0.225 | 2.13 (0.71 to 6.36) | 0.175 |
| South-East Asia | 1.12 (0.40 to 3.13) | 0.827 | 0.84 (0.25 to 2.79) | 0.773 |
| Western Pacific | 1.72 (0.72 to 4.06) | 0.220 | 1.39 (0.55 to 3.48) | 0.484 |
| ≥1 clinical risk factors | 1.24 (0.79 to 1.97) | 0.352 | 1.18 (0.70 to 2.00) | 0.533 |
| High self-perceived risk of severe COVID-19 | 0.89 (0.55 to 1.42) | 0.615 | 0.90 (0.54 to 1.49) | 0.681 |
| COVID-19 infection (self) | 1.06 (0.60 to 1.88) | 0.841 | 1.01 (0.52 to 1.99) | 0.968 |
| COVID-19 infection (household) | 0.88 (0.51 to 1.50) | 0.637 | 0.90 (0.47 to 1.70) | 0.737 |
| Positive views on vaccination in general | 1.39 (0.88 to 2.20) | 0.158 | 1.33 (0.74 to 2.39) | 0.336 |
| Positive views on COVID-19 vaccination | 1.14 (0.76 to 1.72) | 0.518 | 1.18 (0.71 to 1.98) | 0.519 |
| Information through traditional media (TV, radio, web) | 1.19 (0.73 to 1.93) | 0.494 | 1.20 (0.69 to 2.11) | 0.515 |
| Information through social media | 1.29 (0.85 to 1.94) | 0.234 | 1.21 (0.75 to 1.96) | 0.427 |
| Information through community network | 1.22 (0.76 to 1.97) | 0.409 | 1.00 (0.58 to 1.74) | 0.998 |
| Information through other source | 2.39 (0.57 to 10.11) | 0.236 | 3.13 (0.70 to 14.08) | 0.137 |
aOR, adjusted OR.
Factors associated with demand for COVID-19 vaccination in regression analysis
| Univariate analysis | Multivariate analysis | |||
| OR (95% CI) | P value | aOR (95% CI) | P value | |
| Study site Geneva | Reference | Reference | ||
| Baltimore | 2.24 (1.51 to 3.33) | <0.001 | 0.97 (0.56 to 1.68) | 0.920 |
| Milan | 1.70 (1.14 to 2.54) | 0.009 | 1.18 (0.66 to 2.09) | 0.578 |
| Paris | 0.26 (0.15 to 0.47) | <0.001 | 0.15 (0.06 to 0.38) | <0.001 |
| Gender female | 1.43 (1.07 to 1.92) | 0.016 | 1.23 (0.80 to 1.88) | 0.344 |
| Age (per additional year) | 1.04 (1.02 to 1.05) | <0.001 | 1.02 (1.00 to 1.04) | 0.019 |
| Region of origin Europe | Reference | Reference | ||
| Africa | 0.75 (0.38 to 1.46) | 0.396 | 2.73 (0.93 to 8.02) | 0.069 |
| Americas | 1.62 (0.94 to 2.80) | 0.085 | 0.85 (0.36 to 1.96) | 0.695 |
| Eastern Mediterranean | 0.93 (0.45 to 1.93) | 0.852 | 1.93 (0.63 to 5.86) | 0.247 |
| South-East Asia | 0.38 (0.15 to 1.01) | 0.052 | 0.45 (0.12 to 1.65) | 0.231 |
| Western Pacific | 0.90 (0.46 to 1.78) | 0.769 | 0.69 (0.26 to 1.87) | 0.467 |
| ≥1 comorbidity | 1.91 (1.40 to 2.61) | <0.001 | 1.77 (1.10 to 2.84) | 0.018 |
| High self-perceived risk of severe COVID-19 | 1.46 (1.06 to 2.01) | 0.019 | 1.26 (0.81 to 1.96) | 0.315 |
| COVID-19 infection (self) | 1.37 (0.92 to 2.05) | 0.124 | 1.23 (0.66 to 2.27) | 0.514 |
| COVID-19 infection (household) | 1.23 (0.84 to 1.79) | 0.292 | 0.84 (0.48 to 1.49) | 0.557 |
| Positive views on vaccination (general) | 32.5 (14.2 to 74.4) | <0.001 | 12.9 (5.17 to 32.22) | <0.001 |
| Positive views on vaccination (COVID-19) | 16.70 (11.2 to 24.8) | <0.001 | 9.70 (6.08 to 15.47) | <0.001 |
| Information through traditional media (TV, radio, web) | 2.25 (1.53 to 3.29) | <0.001 | 1.28 (0.75 to 2.18) | 0.360 |
| Information through social media | 0.47 (0.35 to 0.62) | <0.001 | 0.84 (0.55 to 1.28) | 0.410 |
| Information through community network | 0.47 (0.33 to 0.65) | <0.001 | 0.61 (0.38 to 1.00) | 0.049 |
| Information through other source | 0.30 (0.12 to 0.73) | 0.008 | 0.44 (0.13 to 1.43) | 0.170 |
| Self-perceived accessibility to COVID-19 vaccination | 1.19 (0.78 to 1.81) | 0.421 | 1.08 (0.61 to 1.92) | 0.799 |
aOR, adjusted OR.
Perceived barriers to accessing COVID-19 vaccination in participants mentioning vaccination being not accessible
| Total | Geneva | Baltimore | Milan | Paris | |
| Lack of insurance/health card (National Health System) | 57 (51.8) | 32 (52.5) | 14 (56.0) | 9 (60.0) | 2 (22.2) |
| High cost | 25 (22.7) | 17 (27.9) | 2 (8.0) | 3 (20.0) | 3 (33.3) |
| Lack of eligibility to enrol in vaccination programme | 18 (16.4) | 8 (13.1) | 1 (4.0) | 5 (33.3) | 4 (44.4) |
| Not knowing where to go | 27 (24.5) | 13 (21.3) | 9 (36.0) | 3 (20.0) | 2 (22.2) |
| Other reasons | 13 (11.8) | 6 (9.8) | 0 (0) | 5 (33.3) | 2 (22.2) |
| Missing values | 0 | 0 | 0 | 0 | 0 |
Preferred place for COVID-19 vaccination
| Total | Geneva | Baltimore | Milan | Paris | |
| Hospital | 236 (73.5) | 144 (87.8) | 40 (50.6) | 39 (60.9) | 13 (92.9) |
| Public health/community clinic | 65 (20.2) | 31 (18.9) | 17 (21.5) | 16 (25.0) | 1 (7.1) |
| Private physician | 20 (6.2) | 4 (2.4) | 3 (3.8) | 11 (17.2) | 2 (14.3) |
| Pharmacy | 37 (11.5) | 17 (10.4) | 6 (7.6) | 9 (14.1) | 5 (35.7) |
| Charity | 65 (20.2) | 22 (13.4) | 16 (20.3) | 19 (29.7) | 8 (57.1) |
| Other | 10 (3.19) | 4 (2.4) | 2 (2.5) | 4 (6.3) | 0 (0) |
| Missing values | 6 | 4 | 0 | 1 | 1 |