| Literature DB >> 36213138 |
Hilary S Whitworth1, Jonathan Kitonsa2, Kambale Kasonia1,3, Daniel Tindanbil1,4, Paddy Kafeero2, Joseph Bangura4,5, Yusupha Nije1,4, Darius Tetsa Teta1,3, Brian Greenwood1, Hugo Kavunga-Membo3, Bailah Leigh4, Eugene Ruzagira1,2, Katherine E Gallagher1,6, Deborah Watson-Jones1,7.
Abstract
Objectives: This cross-sectional survey explored COVID-19 vaccine acceptability among public healthcare facility workers in Kambia (Sierra Leone), Goma (Democratic Republic of Congo) and Masaka (Uganda).Entities:
Keywords: COVID-19 pandemic; COVID-19 vaccines; healthcare workers; sub-Saharan Africa; vaccine acceptability; vaccine uptake
Mesh:
Substances:
Year: 2022 PMID: 36213138 PMCID: PMC9537362 DOI: 10.3389/ijph.2022.1605113
Source DB: PubMed Journal: Int J Public Health ISSN: 1661-8556 Impact factor: 5.100
Details on the COVID-19 pandemic situation and COVID-19 vaccine roll-out in Sierra Leone, Democratic Republic of Congo and Uganda at the time when the survey was conducted and up to May/June 2022. (COVID-19 vaccination in health workers; Sierra Leone, Democratic Republic of Congo and Uganda; 2021).
| Sierra Leone | DRC | Uganda | |
|---|---|---|---|
| Population size | 8.0 million | 89.6 million | 45.7 million |
| First identified COVID-19 case | 31st March 2020 | 10th March 2020 | 22nd March 2020 |
| COVID-19 vaccines available in country | March 2021 | April 2021 | March 2021 |
| Vaccine acceptability survey conducted | 19 April–24 June 2021 | 23 June-27July 2021 | 7 September–8 October 2021 |
| Covid-19 situation and vaccine roll-out in the country at survey commencement | |||
| Number of infection waves | 2 | 3 (mid 3rd wave) | 2 |
| Confirmed COVID-19 cases | |||
| Number of cases | 4,038 | 38,553 | 120,714 |
| Cases per million population | 496 | 417 | 2,562 |
| Confirmed COVID-19 deaths | |||
| Number of deaths | 79 | 891 | 3,061 |
| Deaths per million population | 10 | 10 | 65 |
| Vaccination progress | |||
| % of population with ≥1 vaccine dose | 0.52% | 0.08% | 2.19% |
| % of population fully vaccinated | 0.02% | <0.01% | 0.78% |
| Covid-19 situation and vaccine roll-out in the country up to May/June 2022 | |||
| Number of infection waves | 4 | 4 | 3 |
| Confirmed COVID-19 cases | |||
| Number of cases | 7,683 | 89,189 | 165,927 |
| Cases per million population | 944 | 965 | 3,521 |
| Confirmed COVID-19 deaths | |||
| Number of deaths | 125 | 1,338 | 3,602 |
| Deaths per million population | 15 | 14 | 76 |
| Vaccination progress | |||
| % of population with ≥1 vaccine dose | 27.0% | 2.1% | 33.4% |
| % of population fully vaccinated | 18.1% | 1.3% | 22.6% |
DRC, democratic Republic of Congo.
Based on 2020 data from the World Bank Group [37].
Based on data from Our World in Data, correct at 19th April 2021 for Sierra Leone, 23rd June 2021 for the DRC and 7th September 2021 for Uganda [38].
Based on data from Our World in Data, correct at 15th April 2021 for Sierra Leone, 20th June 2021 for the DRC, and 5th September 2021 for Uganda [1].
Based on data from Our World in Data, correct at 9th June 2022 for all three countries [38].
Based on data from Our World in Data, correct at 22nd May 2022 for all three countries [1].
Whereby fully vaccinated refers to a complete initial protocol.
The COVID-19 vaccine launch was initially scheduled for 15th March 2021, shortly after a shipment of 1.7 million doses of the AstraZeneca vaccine arrived in the country. However, the launch was paused for one month in the DRC following the temporary suspension of the AstraZeneca vaccine across multiple European countries the same month (from 7th March 2021) [24]. The DRC’s vaccination campaign started in April 2021, with the first phase of vaccinations targeting Kinshasa, North Kivu (where Goma is located), Central Kongo and Haut-Katanga—the provinces most affected by the pandemic.
Case numbers of COVID-19 were starting to increase in the DRC and Uganda at the time of writing, possibly signalling the start of the next infection wave in these countries.
Participant demographics and characteristics. (COVID-19 vaccination in health workers; Sierra Leone, Democratic Republic of Congo and Uganda; 2021).
| Kambia | Goma | Masaka | Total | |
|---|---|---|---|---|
| N = 124 | N = 188 | N = 231 | N = 543 | |
| Age in years, median (range) | 38 (20-68) | 38 (18-75) | 35 (18-74) | 37 (18-75) |
| Sex | ||||
| Male | 44 (35.5) | 82 (43.6) | 73 (31.6) | 199 (36.7) |
| Female | 80 (64.5) | 106 (56.4) | 158 (68.4) | 344 (63.4) |
| Role in HCF | ||||
| Doctor or clinical officer | 0 | 4 (2.1) | 12 (5.2) | 16 (3.0) |
| Nurse or midwife | 29 (23.4) | 152 (80.9) | 120 (52.0) | 301 (55.4) |
| Clinical support staff | 71 (57.3) | 13 (6.9) | 48 (20.8) | 132 (24.3) |
| Laboratory and pharmacy staff | 12 (9.7) | 18 (9.6) | 30 (13.0) | 60 (11.1) |
| Non-clinical support staff | 12 (9.7) | 1 (0.5) | 21 (9.1) | 34 (6.3) |
| Highest level of schooling | ||||
| None | 7 (5.7) | 0 | 1 (0.4) | 8 (1.5) |
| Complete primary | 1 (0.8) | 1 (0.5) | 7 (3.0) | 9 (1.7) |
| Incomplete secondary | 31 (25.0) | 15 (8.0) | 20 (8.7) | 66 (12.2) |
| Complete secondary and above | 85 (68.5) | 172 (91.5) | 203 (87.9) | 460 (84.7) |
| Believes that vaccines are important public health interventions | ||||
| Yes | 124 (100.0) | 186 (98.9) | 229 (99.1) | 539 (99.3) |
| No | 0 | 2 (1.1) | 2 (0.9) | 4 (0.7) |
N, number; HCF, healthcare facility.
Data are missing for one participant from Masaka.
All roles include trainees.
Includes registered, enrolled or assistant nurses and midwives, and community health nurses.
Includes health attendants and assistants, maternal and child health aids, antenatal care workers, community health workers, counsellors, peer/health educators, nutritionists, physiotherapists, psychologists, social workers and triage/screening staff.
Includes laboratory technicians and assistants, and pharmacists and pharmacy attendants.
Includes community linkage personnel, ambulance drivers, data clerks, health information assistants, health inspectors, porters, receptionists, retention officers, cleaners and other support staff.
In Kambia, 3 participants reporting no education were traditional birth attendants, 2 were laboratory assistants, 1 was a porter and 1 had a role in patient triage. In Masaka, the 1 participant who reported no education was a cleaner.
Knowledge and perceptions of the COVID-19 pandemic and COVID-19 vaccines. (COVID-19 vaccination in health workers; Sierra Leone, Democratic Republic of Congo and Uganda; 2021).
| Kambia | Goma | Masaka | Total | |
|---|---|---|---|---|
| N = 124 | N = 188 | N = 231 | N = 543 | |
| Perceptions of COVID-19 as a public health problem in this country | ||||
| COVID-19 is an important public health problem | 124 (100.0) | 185 (98.4) | 225 (97.4) | 534 (98.3) |
| Many people are getting sick from COVID-19 | 117 (94.4) | 161 (85.6) | 177 (76.6) | 455 (83.8) |
| Many people are dying from COVID-19 | 75 (60.5) | 143 (76.1) | 147 (63.6) | 365 (67.2) |
| Many HCW are getting sick from COVID-19 | 110 (88.7) | 81 (43.1) | 146 (63.2) | 337 (62.1) |
| Many HCW are dying from COVID-19 | 75 (60.5) | 53 (28.2) | 103 (44.6) | 231 (42.5) |
| HCF are overwhelmed with COVID-19 cases | 57 (46.0) | 26 (13.8) | 107 (46.3) | 190 (35.0) |
| Perceptions of COVID-19 impact in this country | ||||
| Healthcare services are suffering | 65 (52.4) | 39 (20.7) | 184 (79.7) | 288 (53.0) |
| Other diseases are more important | 78 (62.9) | 81 (43.1) | 45 (19.5) | 204 (37.6) |
| COVID-19 response is causing neglect of other diseases | 54 (43.6) | 32 (17.0) | 135 (58.4) | 221 (40.7) |
| COVID-19 response is detrimental to the economy | 119 (96.0) | 79 (42.0) | 199 (86.2) | 397 (73.1) |
| COVID-19 response is detrimental to education | 65 (52.4) | 140 (74.5) | 216 (93.5) | 421 (77.5) |
| Knowledge and perceptions of COVID-19 vaccines | ||||
| They are under development/being evaluated | 117 (94.4) | 165 (87.8) | 116 (50.2) | 398 (73.3) |
| They are licensed and used in some countries | 122 (98.4) | 120 (63.8) | 153 (66.2) | 395 (72.7) |
| They are available in this country | 86 (69.4) | 144 (76.6) | 176 (76.2) | 406 (74.8) |
| They protect against virus that causes COVID-19 | 116 (93.6) | 42 (22.3) | 120 (52.0) | 278 (51.2) |
| They stop people getting very sick from COVID-19 | 116 (93.6) | 42 (22.3) | 123 (53.3) | 281 (51.8) |
| They are important for control of the pandemic | 124 (100.0) | 141 (75.0) | 222 (96.1) | 487 (89.7) |
| Advantages of COVID-19 vaccines | ||||
| They can/may protect healthcare workers | 123 (99.2) | 147 (78.2) | 193 (83.6) | 463 (85.3) |
| They can be given to lots of people quickly | 117 (94.4) | 43 (22.9) | 94 (40.7) | 254 (46.8) |
| They may allow travel/movement/socializing | 123 (99.2) | 128 (68.1) | 159 (68.8) | 410 (75.5) |
| They may encourage visitors from other countries | 123 (99.2) | 118 (62.8) | 147 (63.6) | 388 (71.5) |
| They may allow the economy to recover | 92 (74.2) | 89 (47.3) | 138 (59.7) | 319 (58.8) |
| Disadvantages of COVID-19 vaccines | ||||
| Vaccine rollout is a burden on healthcare services | 111 (89.5) | 44 (23.4) | 62 (26.8) | 217 (40.0) |
| They are new and experimental | 113 (91.1) | 166 (88.3) | 114 (49.4) | 393 (72.4) |
| They may cause side effects/harm | 124 (100.0) | 129 (68.6) | 149 (64.5) | 402 (74.0) |
| Multidose vaccine schedules are difficult to deliver | 113 (91.1) | 24 (12.8) | 84 (36.4) | 221 (40.7) |
| They are expensive; big cost to the country | 112 (90.3) | 50 (26.6) | 125 (54.1) | 287 (52.9) |
| Concerns over COVID-19 vaccines | ||||
| They may cause infertility | 95 (76.6) | 39 (20.8) | 33 (14.3) | 167 (30.8) |
| They may cause SARS-CoV-2 infection/COVID-19 | 91 (73.4) | 107 (56.9) | 52 (22.5) | 250 (46.0) |
| They may cause symptoms like COVID-19 | 93 (75.0) | 132 (70.2) | 111 (48.1) | 336 (61.9) |
| They may affect pregnancies/foetuses | 96 (77.4) | 99 (52.7) | 88 (38.1) | 283 (52.1) |
| They may cause anaphylaxis | 96 (77.4) | 120 (63.8) | 68 (29.4) | 284 (52.3) |
| They may cause other harm | 91 (73.4) | 105 (55.9) | 41 (18.2) | 238 (43.8) |
| They may not work | 89 (71.8) | 42 (22.3) | 32 (13.9) | 163 (30.0) |
N, number; HCF, healthcare facility; HCW, healthcare workers.
For all variables, participants could provide more than one answer so summed percentages are not equal to 100%.
COVID-19 vaccine uptake and acceptability. (COVID-19 vaccination in health workers; Sierra Leone, Democratic Republic of Congo and Uganda; 2021).
| Kambia | Goma | Masaka | Total | |
|---|---|---|---|---|
| N = 124 | N = 188 | N = 231 | N = 543 | |
| COVID-19 vaccination status | ||||
| Fully vaccinated | 9 (7.3) | 0 | 34 (14.7) | 43 (7.9) |
| Partially vaccinated | 39 (31.5) | 0 | 55 (23.8) | 94 (17.3) |
| Unvaccinated—would accept vaccine | 75 (60.5) | 81 (43.1) | 136 (58.9) | 294 (53.9) |
| Unvaccinated—would not accept vaccine | 1 (0.8) | 91 (48.4) | 4 (1.7) | 96 (17.7) |
| Unvaccinated—unsure if would accept vaccine | 0 | 16 (8.5) | 2 (0.9) | 18 (3.3) |
| Reasons for accepting or being willing to accept the vaccine | ||||
| To protect own health | 123 (99.2) | 81 (43.1) | 214 (92.6) | 418 (77.0) |
| To keep working | 122 (98.4) | 49 (26.1) | 100 (43.3) | 271 (49.9) |
| To avoid infecting other people | 123 (99.2) | 79 (42.0) | 161 (69.7) | 363 (66.9) |
| To protect family | 122 (98.4) | 76 (40.4) | 172 (74.5) | 370 (68.1) |
| Reasons for unwillingness to accept vaccine | ||||
| Not at risk of catching SARS-CoV-2 | 1 (0.8) | 18 (9.6) | 2 (0.9) | 21 (3.9) |
| Not at risk of becoming very ill or dying from COVID-19 | 1 (0.8) | 18 (9.6) | 0 | 19 (3.5) |
| Already had COVID-19 | 0 | 2 (1.1) | 1 (0.4) | 3 (0.6) |
| Frightened of vaccine side effects | 1 (0.8) | 74 (39.4) | 5 (2.2) | 80 (14.7) |
| COVID-19 vaccines are new and experimental | 0 | 75 (39.9) | 6 (2.6) | 81 (14.9) |
| COVID-19 vaccines don’t work | 0 | 30 (16.0) | 2 (0.9) | 32 (5.9) |
| Currently pregnant/breastfeeding | 0 | 3 (1.6) | 0 | 3 (0.6) |
| Factors that would influence decision on whether to get vaccinated | ||||
| Which country the vaccine was developed in | 100 (80.7) | 105 (55.9) | 129 (55.8) | 334 (61.5) |
| Which company made the vaccine | 92 (74.2) | 88 (46.8) | 100 (43.3) | 280 (51.6) |
| Where the clinical trials were conducted | 98 (79.0) | 138 (73.4) | 105 (45.5) | 341 (62.8) |
| Whether clinical trials were conducted here | 92 (74.2) | 118 (62.8) | 87 (37.7) | 297 (54.7) |
| How many people were vaccinated before | 91 (73.4) | 127 (67.6) | 73 (31.6) | 291 (53.6) |
| How long the vaccine had been trialled for | 110 (88.7) | 134 (71.3) | 111 (48.1) | 355 (65.4) |
| What type of vaccine it is | 85 (68.6) | 73 (38.8) | 109 (47.2) | 267 (49.2) |
| Which other countries are giving the vaccine | 55 (44.4) | 90 (47.9) | 72 (31.2) | 217 (40.0) |
N, number.
In Kambia, vaccination status was confirmed for all 48 vaccinated participants using vaccination cards. In Masaka, vaccination status was confirmed for 13 vaccinated participants using vaccination cards, and 76 participants reported that they were vaccinated verbally.
79.6% of participants who received at least one vaccine dose were given the AstraZeneca vaccine (50.0% in Kambia; 95.5% in Masaka). In Kambia, all other vaccinated participants received the Sinopharm vaccine; in Masaka, all other vaccinated participants received the Sinovac vaccine.
Participants could provide more than one answer so summed percentages are not equal to 100%.
Participants provided either reasons for or against vaccination as appropriate to their answer for the vaccination status variable above, but proportions were calculated as percentages of the whole study population (by country and across all countries).
Results are shown for all participants, including participants who had already received one or more COVID-19 vaccine doses.
FIGURE 1COVID-19 vaccine uptake, intent to get vaccinated and vaccine hesitancy/declining vaccination among healthcare facility workers. Pie charts show, by study site [(A) Kambia, (B): Goma, (C): Masaka, and (D): overall], the proportion of participants who had already received at least one dose of the vaccine by the time of the survey, who would accept the vaccine if offered it and who would not accept the vaccine or did not know if they would accept the vaccine. (COVID-19 vaccination in health workers; Sierra Leone, Democratic Republic of Congo and Uganda; 2021).
Factors associated with intent to get vaccinated against COVID-19 in Goma. (COVID-19 vaccination in health workers; Sierra Leone, Democratic Republic of Congo and Uganda; 2021).
| Variable | Category | N intent to get vaccinated/Total (%) | Crude OR (95% CI) | LRT | Adjusted OR (95% CI) | LRT |
|---|---|---|---|---|---|---|
| Age in years | ≤35 | 28/79 (35.4) | 1.0 | 0.195 | 1.0 | 0.244 |
| 36–50 | 39/80 (48.8) | 1.73 (0.92–3.27) | 1.75 (0.91–3.39) | |||
| >50 | 14/29 (48.3) | 1.70 (0.72–4.03) | 1.35 (0.54–3.37) | |||
| Sex | Male | 36/82 (43.9) | 1.0 | 0.842 | 1.0 | 0.850 |
| Female | 45/106 (42.5) | 0.94 (0.53–1.69) | 0.94 (0.52–1.72) | |||
| Education level | Complete secondary or higher | 70/172 (40.7) | 1.0 | 0.030 | 1.0 | 0.040 |
| Incomplete secondary or lower | 11/16 (68.8) | 3.21 (1.07–9.63) | 3.17 (1.01–9.96) | |||
| Role in HCF | Clinician, nurse, midwife | 68/156 (43.6) | 1.0 | 0.431 | 1.0 | 0.327 |
| Clinical support staff | 7/13 (53.9) | 1.51 (0.49–4.70) | 1.85 (0.57–6.00) | |||
| Other staff | 6/19 (31.6) | 0.60 (0.22–1.65) | 0.59 (0.21–1.70) | |||
| Perceptions of the impact of the COVID-19 pandemic and the COVID-19 response in Goma | ||||||
| Healthcare services are suffering | No/don’t know | 52/149 (34.9) | 1.0 | <0.001 | 1.0 | <0.001 |
| Yes | 29/39 (74.4) | 5.41 (2.45–11.96) | 5.69 (2.45–13.21) | |||
| The response is causing neglect of other diseases | No/don’t know | 55/156 (35.3) | 1.0 | <0.001 | 1.0 | <0.001 |
| Yes | 26/32 (81.3) | 7.96 (3.09–20.50) | 8.61 (3.24–22.89) | |||
| The response is detrimental to the economy | No/don’t know | 37/109 (33.9) | 1.0 | 0.003 | 1.0 | 0.010 |
| Yes | 44/79 (55.7) | 2.45 (1.35–4.44) | 2.24 (1.21–4.17) | |||
| The response is detrimental to education | No/don’t know | 20/48 (41.7) | 1.0 | 0.818 | 1.0 | 0.980 |
| Yes | 61/140 (43.6) | 1.08 (0.56–2.10) | 1.01 (0.50–2.02) | |||
| Understanding and views of COVID-19 vaccines | ||||||
| The vaccines protect against SARS-CoV-2 infection | No | 52/146 (35.6) | 1.0 | <0.001 | 1.0 | <0.001 |
| Yes | 29/42 (69.1) | 4.03 (1.93–8.42) | 3.69 (1.73–7.87) | |||
| The vaccines stop people getting very ill from COVID-19 | No | 52/146 (35.6) | 1.0 | <0.001 | 1.0 | <0.001 |
| Yes | 29/42 (69.1) | 4.03 (1.93–8.42) | 3.69 (1.73–7.87) | |||
| The vaccines are important for control of the pandemic | No/don’t know | 3/47 (6.4) | 1.0 | <0.001 | 1.0 | <0.001 |
| Yes | 78/141 (55.3) | 18.16 (5.38–61.25) | 18.19 (5.23–63.30) | |||
| The vaccines are new and experimental | No | 7/22 (31.8) | 1.0 | 0.250 | 1.0 | 0.172 |
| Yes | 74/166 (44.6) | 1.72 (0.67–4.45) | 1.98 (0.72–5.41) | |||
| The vaccines may not work | No/don’t know | 60/146 (41.1) | 1.0 | 0.306 | 1.0 | 0.551 |
| Yes | 21/42 (50.0) | 1.43 (0.72–2.85) | 1.24 (0.61–2.54) | |||
| The vaccines may cause side effects or other harm | No | 25/59 (42.4) | 1.0 | 0.894 | 1.0 | 0.896 |
| Yes | 56/129 (43.4) | 1.04 (0.56–1.94) | 1.04 (0.55–2.00) | |||
N, number; OR, odds ratio; CI, confidence interval; LRT, likelihood ratio test; HCF, healthcare facility.
Adjusted for sex, education level and role in the facility.
Adjusted for age category, education level and role in the facility.
Adjusted for age category, sex and role in the facility.
Adjusted for age category, sex and education level.
Where the “COVID-19 response” refers to the country level measures that were put in place in order to control the spread of SARS-CoV-2 and respond to the burden of COVID-19 disease.
Adjusted for age category, sex, education level and role in the healthcare facility.